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  <front>
    <journal-meta id="journal-meta-35ecc7118a89430ca441ece7b7491db4">
      <journal-id journal-id-type="nlm-ta">Sciresol</journal-id>
      <journal-id journal-id-type="publisher-id">Sciresol</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">http://ugit.net/publication_fsjoaj3qdho/geographical-analysis_su-zbsigk49/</journal-id>
      <journal-title-group>
        <journal-title>Geographical Analysis</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">XXXX-XXXX</issn>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta id="article-meta-3ed094754e404c80b7d0b0a4cb8712ad">
      <article-id pub-id-type="doi">10.53989/bu.ga.v11i1.22.3</article-id>
      <article-categories>
        <subj-group>
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title id="article-title-473c01037afb4214b25934dbb5f7a2bb">
          <bold id="strong-27e7e9da08484411aa168558b1f075eb">Spatial-Temporal Variations </bold>
          <bold id="strong-9395accb4660417384d17f99686462c4">in Snow Cover in </bold>
          <bold id="strong-1ae0fe9490b5422a82928f99b975c5ce">Himachal Pradesh, India - 2005-2015</bold>
        </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name id="name-0ec8a98a856e44d4b09887e874ba92c3">
            <surname>Aparna</surname>
            <given-names/>
          </name>
          <email>aparnabeldar05@gmail.com</email>
          <xref id="x-b286e06c23e5" rid="a-900091cb6e5d" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name id="name-8ebe7ad3ec364feaa64b32db36c381e4">
            <surname>Shahnawaz</surname>
            <given-names/>
          </name>
          <xref id="xref-10d6c7b6e8214aff842ec9c60e97a199" rid="aff-60a2a3ab0ec748909ad919ec7ca54b73" ref-type="aff">2</xref>
        </contrib>
        <aff id="a-900091cb6e5d">
          <institution>Student, Department of Geography, Central University of Karnataka</institution>
          <country country="IN">India</country>
        </aff>
        <aff id="aff-60a2a3ab0ec748909ad919ec7ca54b73">
          <institution>Professor, Department of Geoinformatics – Z_GIS, University of Salzburg</institution>
          <country>Austria</country>
        </aff>
      </contrib-group>
      <volume>11</volume>
      <issue>1</issue>
      <fpage>10</fpage>
      <permissions>
        <copyright-year>2022</copyright-year>
      </permissions>
      <abstract id="abstract-abstract-title-73011d20ae0f432897bf66e6ef5d0a1e">
        <title id="abstract-title-73011d20ae0f432897bf66e6ef5d0a1e">Abstract</title>
        <p id="paragraph-f56b9624b9f44ce6acbc8f392c5a624c">Himachal Pradesh is a highly mountainous state located in the northern part of India and receive snow fall during winter season. Studying Snow Cover Variation in this region is important because it has an impact on both climate and water management and thus the life of the people. The study has been carried out using MODIS eight day (MOD10A2) snow cover data, ASTER DEM data has been used to study the Snow cover area variation with elevation, and also to do slope and aspect analysis of Himachal Pradesh. The snow extent data of eight day periods are summed up to get approximate monthly data for easy handling and analysis. Then Snow Cover Area (SCA) is calculated for each month during ten years time period from 2005 to 2015.  The general trend observed is the SCA is increasing from January to March and from March it starts decreasing till August and again from September to December it increases. Generally, Snow cover is maximum in the month of March and minimum in the month of August except few years like in 2008, 2009, 2014 and 2015 it is maximum in February month, whereas in 2011 it is observed to be maximum in the month of January. The Maximum SCA is found in 2013 March i.e. calculated as 40246.57 square kilometre in this whole eleven year time period from 2005 to 2015 and the minimum snow cover was also observed in the same year 2013 September which is estimated to be 6545.80 square kilometres.</p>
      </abstract>
      <kwd-group id="kwd-group-699d5f34067941d8b196a006443dfee6">
        <title>Keywords</title>
        <kwd>Snow Cover Area Variation In Himachal Pradesh</kwd>
        <kwd>MODIS Eight Day (MOD10A2) Snow Cover Data</kwd>
        <kwd>ASTER DEM</kwd>
        <kwd>Maximum and Minimum Elevation Snow Cover Area Reached</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement>None</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="title-568554fd4f8b436a81972be863913fe3">Introduction</title>
      <p id="paragraph-dc9f91eac11843098fc39b18548bebd9">Snow cover, is an important component of land cover, is one of the natural materials on the Earth’s surface with wide distribution, obvious seasonal variation, and high sensitivity to climate change (Tang et al. 2017). Satellite-based remote sensing has provided a useful tool for spatial and temporal monitoring of variation and distribution of Snow Cover Area (SCA) in regional and global scales (Frayaza et al. 2013). The Moderate Resolution Imaging Spectroradiometer (MODIS), a major NASA EOS instrument, was launched aboard the Terra satellite on December 18, 1999 (10:30 AM equator crossing time, descending)﻿ for global monitoring of the atmosphere, terrestrial ecosystems, and oceans. On May 4, 2002, a similar instrument was launched on the EOS-Aqua satellite (1:30 PM equator crossing time, ascending). MODIS, flying on two satellites in orbits that complement </p>
      <sec>
        <title id="t-2802eccb7a30">Study Area</title>
        <p id="paragraph-4598309c01214c86b1b7fdcb40b93895">Himachal Pradesh is a mountainous state located in North India, covers an area of 55,673 square kilometres. Himachal Pradesh has a total population of 6,864,602 among 3,481,873 are males and 3,382,729 females as per the final results of the Census of India 2011. Many perennial rivers flow in the state. Its hydro-electric power production is yet not utilized fully. Many plants produce excess hydroelectricity that is sold to other states, such as Delhi, Punjab, and Rajasthan. The below figures (<xref rid="figure-036cd6e5a4104e78abc13f5f493ab70e" ref-type="fig">Figure 1</xref>, <xref rid="figure-3f722511c7464ca8a9682892bbffda0b" ref-type="fig">Figure 2</xref>) shows the location of Himachal Pradesh in India as well as its satellite view.</p>
        <fig id="figure-036cd6e5a4104e78abc13f5f493ab70e" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 1 </label>
          <caption id="caption-207a34d1ec244ff887d92954842de400">
            <title id="title-c99ab68dfce24146a1ab97b19adbd1c6">Location of Himachal Pradesh<bold id="strong-fe494b5aa39c4fe8a580d34167b74dc9"> </bold>in India</title>
          </caption>
          <graphic id="graphic-f82cb549d9cc41e49bdb75e7fb919264" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7b3f2455-4077-4c1a-a655-d8c21a89661eimage1.jpeg"/>
        </fig>
        <fig id="figure-3f722511c7464ca8a9682892bbffda0b" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 2 </label>
          <caption id="caption-64cf430839c04dbc955087a88e49ec84">
            <title id="title-b19ce92eac1f478d95ccd0e77a154c28">Satellite view of Himachal Pradesh</title>
          </caption>
          <graphic id="graphic-a79ae7b10bf6447994902a7892ab05d0" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7b3f2455-4077-4c1a-a655-d8c21a89661eimage2.jpeg"/>
        </fig>
      </sec>
      <sec>
        <title id="t-c6cd276ea18d">Data Set</title>
        <list list-type="bullet">
          <list-item id="li-3fdce7b5142a">
            <p>Moderate Resolution Imaging Spectroradiometer (MODIS) Snow Cover Data</p>
          </list-item>
        </list>
        <p id="paragraph-b4bcf2897a62496cb722af66f378f36a">The dataset selected for this study is MODIS/Terra Snow Cover 8-Day L3 Global 500m Grid, Version 6 (MOD10A2) Dataset.<bold id="strong-d73ac99f425f48498acac366c8c1ae2c"> </bold></p>
        <table-wrap id="table-wrap-2fe6e70ca0584aa79cf4ddc93f69a534" orientation="portrait">
          <label>Table 1</label>
          <caption id="caption-d8aef459cc2a42f796b0e1e062abf610">
            <title id="title-886c86380cc84671a47f5f7e7e08d0b9">A brief description of the dataset used in the study</title>
          </caption>
          <table id="table-b780e22d6ba74f84be1a9e2d26ad7760" rules="rows">
            <colgroup>
              <col width="49.02"/>
              <col width="50.98"/>
            </colgroup>
            <tbody id="table-section-e8215d538fee45ba8fcf7b43d2e1ad7c">
              <tr id="table-row-9f707bbc868c46b1aee1bff26d4116a2">
                <td id="table-cell-4de9f94b29ca45f0ba230e4695924637" align="left">
                  <p id="paragraph-5988f6c8c859426b93ea93a255b1c5df"> <bold id="strong-076c7060d3db4474989eb92cb29d4d51">P</bold><bold id="strong-4a6ea174ebd744d6945e19c18de09fb7">arameters</bold></p>
                </td>
                <td id="table-cell-d7be0c5ba3874ad0bbaf5648b601765c" align="left">
                  <p id="paragraph-e5a5266f976d4397b1348219849a1327">
                    <bold id="s-cb39106754e9">Snow/Ice &gt; Snow Cover &gt; Snow Extent</bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-eedd2fad98f84956bfca58c334a6860e">
                <td id="table-cell-fb130d5ad5ee46f2817fbbb5eb571fd4" align="left">
                  <p id="paragraph-0eaf073a0b9446ac93d2b1b66f901b7a"> <bold id="strong-451be213579f40b0b4a5a52a2e9b24b3">Sensor</bold></p>
                </td>
                <td id="table-cell-bbd37c0f55dd4cb8827119624979f3d7" align="left">
                  <p id="paragraph-e96cd5acf62749caaf27c4410c036aa0"> MODIS</p>
                </td>
              </tr>
              <tr id="table-row-06c8fd5e63ae44698f52de8832f8774e">
                <td id="table-cell-20368f44a8d343d5960a2371060a5dc7" align="left">
                  <p id="paragraph-5d9206929d60499fb536fcd6acb3b55b"> <bold id="strong-3a99bca88d3346daa89c11d920c51007">Satellite</bold></p>
                </td>
                <td id="table-cell-557d96a0802d47e296297a19d3e07371" align="left">
                  <p id="paragraph-c0a5ee2f6c77444b975d58707bd44b10"> Terra</p>
                </td>
              </tr>
              <tr id="table-row-10f7793a595c4b958cb64fb59cbbdeaa">
                <td id="table-cell-7f0cca8a34b8452caca4452bf0585c9d" align="left">
                  <p id="paragraph-74b19fdaa2d1467fa0b72625c113547c"> <bold id="strong-3e1b9f8c41ff46f4b0a5c5bac6ec6b57">Product</bold></p>
                </td>
                <td id="table-cell-5163882daff2428b962660f356fd3211" align="left">
                  <p id="paragraph-e19242fd90684f6b86e8a64957994079"> MOD10A2</p>
                </td>
              </tr>
              <tr id="table-row-4ae53b7aeb2c41eb812e18468f776b07">
                <td id="table-cell-f7f56ad707634eeba4b309c01c2a6642" align="left">
                  <p id="paragraph-da43da4ccb0a478dbbed66fe39c5d321"> <bold id="strong-0a514ad55e9847beb2c3af52592168da">Temporal Resolution</bold></p>
                </td>
                <td id="table-cell-1afecdca44944a31aeff714d62d2b5cd" align="left">
                  <p id="paragraph-583aa426e8be45e5bdfdc74323d7780e"> 8 day</p>
                </td>
              </tr>
              <tr id="table-row-beb7b44b6d2f43cb8bd0bcc78ec035ec">
                <td id="table-cell-371a37700bc94383913e06e9a40191d2" align="left">
                  <p id="paragraph-427a2853b79c4a4699ccbbaea1a221e9"> <bold id="strong-b1cc25ce2aa94f34930acfe34f6a7ea8">Spatial Resolution</bold></p>
                </td>
                <td id="table-cell-504d61b84bbd4a2b8c3abe40c026f199" align="left">
                  <p id="paragraph-2146ce4c3e37458d85c56e367708e97b"> 500 m</p>
                </td>
              </tr>
              <tr id="table-row-8d78b3008a7f480a9a91453b981934a8">
                <td id="table-cell-9f2a6267025b46e4b62a5a7078baa8ed" align="left">
                  <p id="paragraph-c7d0fdc101c840b18afbb45cf5eb72d7"> <bold id="strong-074c74ef1ef94ae6b470ab54ccd7b4c7">Time Acquisition</bold></p>
                </td>
                <td id="table-cell-9d3dfd7a93a749c1b181064eb52d42b3" align="left">
                  <p id="paragraph-e1d918c66fb841dea543b5122d2a9bab"> January 2005 – December 2015</p>
                </td>
              </tr>
              <tr id="table-row-d98002588cbe42e0a8d351389c58d62e">
                <td id="table-cell-91936e64f67a4abebec314ae0dba4497" align="left">
                  <p id="paragraph-43832dc14e2c48cdbfac2c166d0fee88"> <bold id="strong-cd77ccb14ca140a5a8643045322b178f">Data Format</bold></p>
                </td>
                <td id="table-cell-12911d8696b24698a3f38dd942fc978f" align="left">
                  <p id="paragraph-c09bec69c2b94bcfa552ea71ce193856"> HDF-EOS (.hdf)</p>
                </td>
              </tr>
              <tr id="table-row-12588c5da0bb4d0f9ca27ccb24bebe30">
                <td id="table-cell-08b5d1f1c1b6464f99cee1d96562ebd6" align="left">
                  <p id="paragraph-c968b4947e024ff8998b64d671c8d95f"> <bold id="strong-8e19bc4862544391a27079fcc468f1b7">Version</bold></p>
                </td>
                <td id="table-cell-f34d12cb36874d718bf5a8d6925d24d0" align="left">
                  <p id="paragraph-4d5cdd6b49b44ab9a2e4a8a80507b82c"> V6</p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-47095bbbb9d94d189a5438e3cb0c62fa">The data is available in sinusoidal Projection with 500m resolution; tile number h25v05 covers the whole study area (Himachal Pradesh). These data sets give information about the maximum snow cover extent during an eight-day period in 1200 km x 1200 km tiles. These tiles are generated by compositing 500 m observations from the MODIS/Terra Snow Cover Daily L3 Global 500m Grid (MOD10A1) data set. </p>
        <list list-type="bullet">
          <list-item id="li-e0a0d29698eb">
            <p>Digital Elevation Model (DEM)</p>
          </list-item>
        </list>
        <p id="paragraph-bf6f2391342f4f6682a0ec07ccaa9395">Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) DEM with 30m resolution data is downloaded from the platform of Earth Explorer of United States Geological Survey (USGS). It is available in ‘Geotiff’ format, Acquisition date is 17 October 2011 (Given in the website of Earth Explorer).</p>
        <table-wrap id="table-wrap-1dc164a47518443b853a928af7c6ca5b" orientation="portrait">
          <label>Table 2</label>
          <caption id="caption-459de22cb2a94e7eae704c0a988231c6">
            <title id="title-d4e4a3dcdc2140c1b3486a2cff25a7a6"><bold id="strong-7df70fc49d744cd184eaafea4f985df9"/>Details of DEM Data Used in the Study</title>
          </caption>
          <table id="table-1bcae01785da4a76ae520162904d9dde" rules="rows">
            <colgroup>
              <col width="40.49"/>
              <col width="59.51"/>
            </colgroup>
            <tbody id="table-section-50d937edd84b416293389ec0d8ee4e07">
              <tr id="table-row-662172a5427e41d2990618163051f541">
                <td id="table-cell-16646a4448ef4bffb68b0a27ae8cdad3" align="left">
                  <p id="paragraph-ceac8e88cada4735b6612617f23ebb59"> <bold id="strong-36eabe683fb24f4985c42b6f3b3e5cab">Serial No.</bold></p>
                </td>
                <td id="table-cell-a272c1de710c453cab39cbaace456341" align="left">
                  <p id="paragraph-e70fbc5f879e47089a014eb4885cd964"> <bold id="strong-dde811e1de2e4b1b98ef3b929fa99cfa">Entity ID of the Dataset</bold></p>
                </td>
              </tr>
              <tr id="table-row-32ff72f2a61a411cb953a410f66fc496">
                <td id="table-cell-978177eb6a174557bf323727d21938c6" align="left">
                  <p id="paragraph-b5b7e57ddbc84e81a97d03cba2db190b"> 1.</p>
                </td>
                <td id="table-cell-961b663773864a128815e403ac6eac61" align="left">
                  <p id="paragraph-9c05b3b708d748f091d757a8b066423d"> ASTGTDEMV2_0N30E076</p>
                </td>
              </tr>
              <tr id="table-row-c20eb8898f9049a69d347b5aeb57ffc4">
                <td id="table-cell-24349f6e7b2e4ebb9808a0aef449faa5" align="left">
                  <p id="paragraph-f3a3675112744707895082560aa41175"> 2.</p>
                </td>
                <td id="table-cell-b27aa8ba08d648d5ac0966265ce99228" align="left">
                  <p id="paragraph-aff6cf67567a4cf8bc5a599bbcb89461"> ASTGTDEMV2_0N30E077</p>
                </td>
              </tr>
              <tr id="table-row-181e7350ec304f20bc720759e6d1bdd2">
                <td id="table-cell-bb8e3b3dccc04454aec00e60b1911146" align="left">
                  <p id="paragraph-0b13a2ab682b421da460d6c91b431f03"> 3.</p>
                </td>
                <td id="table-cell-0209f1f124194dd69961c39d6459c59d" align="left">
                  <p id="paragraph-77400f28f5744d79a26ba66741ebd1e5"> ASTGTDEMV2_0N31E075</p>
                </td>
              </tr>
              <tr id="table-row-96f7359e3a2b4bd3998f5e75b6011329">
                <td id="table-cell-2a69f52ea56549a0a977de566ca7bbf6" align="left">
                  <p id="paragraph-b242e4529f6347bbbe8003694df998d4"> 4.</p>
                </td>
                <td id="table-cell-a5bb2f8237864743852392f1d70fd63b" align="left">
                  <p id="paragraph-ead3256152504d92a9ac0bb3bf9fa22a"> ASTGTDEMV2_0N31E076</p>
                </td>
              </tr>
              <tr id="table-row-6b09ae3a1ced40d1a839f998ccee32e2">
                <td id="table-cell-d5129aa0e3a9429997514c73f606b4e3" align="left">
                  <p id="paragraph-1a0c5164fd3b4ed693d15748a7f00fe4"> 5.</p>
                </td>
                <td id="table-cell-bbc30b66ce064d15b428b2f374b05c12" align="left">
                  <p id="paragraph-fb6910af19d747498e17ac74980a88be"> ASTGTDEMV2_0N31E077</p>
                </td>
              </tr>
              <tr id="table-row-2ddd91072ad34c9e9f9081b4aee1b91f">
                <td id="table-cell-0a42062fad4b4b8ba4712ec78c1a93d4" align="left">
                  <p id="paragraph-5ac1daf8ea2445f68c09b4479d6925dd"> 6.</p>
                </td>
                <td id="table-cell-a220304131394d20997bc4c5eb14daeb" align="left">
                  <p id="paragraph-415d25dcaf8e4054aa2d356ee5ba62e6"> ASTGTDEMV2_0N31E078</p>
                </td>
              </tr>
              <tr id="table-row-19c7bcf00af24a74ac2b1afd362cf985">
                <td id="table-cell-37f67e81dc1b4fb986f393439d00842f" align="left">
                  <p id="paragraph-2370ddac7a484de3ae3177bab0a98f62"> 7.</p>
                </td>
                <td id="table-cell-b8a2f6f596ea4f639ebfede49784a55f" align="left">
                  <p id="paragraph-4c44bb71d1d34a03bf7895a08a1cc5f0"> ASTGTDEMV2_0N32E075</p>
                </td>
              </tr>
              <tr id="table-row-eb0055279d264bfca0f7f9c11784f25b">
                <td id="table-cell-07f7bcea61854fc684fb1a272d1285e9" align="left">
                  <p id="paragraph-17eb5f37e0b340219eac4fa870787742"> 8.</p>
                </td>
                <td id="table-cell-60f3a43e3f084c11b4118224b09a90db" align="left">
                  <p id="paragraph-53739eb54499409a8110c22051561a6b"> ASTGTDEMV2_0N32E076</p>
                </td>
              </tr>
              <tr id="table-row-08505de3fe8f4dc18e5b891d894f4dc7">
                <td id="table-cell-47dfd1258e5048e3aeaa7855018c9479" align="left">
                  <p id="paragraph-9bb3bc798ec3420b8bf08994a8e2adff"> 9.</p>
                </td>
                <td id="table-cell-b893ba1e8c3949538fb539125dda29bf" align="left">
                  <p id="paragraph-347b9300c2e24b42b9c4df00a40d2665"> ASTGTDEMV2_0N32E077</p>
                </td>
              </tr>
              <tr id="table-row-b7c418c121604d24b4a23e42b51eb500">
                <td id="table-cell-ede0888981db4dffb0dbabd0c825a9ac" align="left">
                  <p id="paragraph-8268df61d2b3445f9ccd43d005aafd65"> 10.</p>
                </td>
                <td id="table-cell-7e6efc6579f640eaba4970f8e7913606" align="left">
                  <p id="paragraph-cce06f2dbf854e3aa44dfba2192ec705"> ASTGTDEMV2_0N32E078</p>
                </td>
              </tr>
              <tr id="table-row-a1b549519464460b95b3a3c25d9ff02b">
                <td id="table-cell-f12b57f2771a4348a1f94cdb8d897f5d" align="left">
                  <p id="paragraph-0f2a713a6ea449158ee1bfc8df51d7e0"> 11.</p>
                </td>
                <td id="table-cell-85f26fc6a98244dca7e58d12d932dfd3" align="left">
                  <p id="paragraph-4f78ee303e2b417b8f2e3b71a081e393"> ASTGTDEMV2_0N33E076</p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec>
      <title id="title-009d043462774fac9d8d5fcf916e260b">Methodology</title>
      <p id="paragraph-b4048e7c9296482997c444ce165610e7">As shown in the diagram (<xref id="x-8f02c5cf12d0" rid="figure-522692c4cc494580973b38b2fe7b98af" ref-type="fig">Figure 3</xref>) the downloaded snow cover data and DEM data have been reprojected to match with the study area (Himachal Pradesh) boundary shape file. </p>
      <fig id="figure-522692c4cc494580973b38b2fe7b98af" orientation="portrait" fig-type="graphic" position="anchor">
        <label>Figure 3 </label>
        <caption id="caption-7b228cc9a3fe40c8a3e89dc6a0e75306">
          <title id="title-dc33b5d5c1344cd5987977f6a828f7d5"><bold id="strong-0112bb4ddfcb4021a88e86ea4923241b"/>Methodology flowchart</title>
        </caption>
        <graphic id="graphic-4bbdbd4d60de4d5d90398a2daa067c29" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7b3f2455-4077-4c1a-a655-d8c21a89661eimage3.png"/>
      </fig>
      <p id="paragraph-0ffb8d8be0804fdaa86b9500539ee4f9">Then extracted the study area. Later combined the eight-day snow cover data to make it monthly and calculated month wise snow cover area. At last mapped it from January 2005 to December 2015. And also calculated minimum elevation SCA has reached with the help of DEM and tabulated it. The dataset consist of total 46 eight day periods in a year. In this study the eight-day periods are summed up to make it a monthly data. A period has been added to a particular month based on the maximum number of days of that particular period falling in any month.</p>
      <sec>
        <title id="t-589f61e42dd8">Physiography </title>
        <sec>
          <title id="t-17e60faa288b">2.1.1 Elevation Analysis</title>
          <p id="paragraph-4819c54f1e8846f9bfe78cae61f6d082">The altitude ranges from 217 metres to over 6608 metres above sea level. The elevation increases from west to east and from south to north. The total area of Himachal Pradesh has been classified into seven elevation zones (<xref id="x-77e64f62c1b6" rid="table-wrap-1e65c4bdcc964f7097c94437f5511631" ref-type="table">Table 3</xref>) based on altitude. It can clearly seen in the map (<xref id="x-3def61124749" rid="figure-d5898fa345564f28b05f37c7fa2e6b0e" ref-type="fig">Figure 4</xref>) the altitude in the first zone varies from 217 to 1000 m and it covers a 14836.92 sq km in Himachal Pradesh, and this zone is spread mostly in Western part and part is also can be seen in the South-West. The altitude of the second zone varies between 1000 – 2000 metres, and it is spread mainly in South-Western part and extends towards West. The altitude in the zone just above this varies between 2000 – 3000 metres and this zone is also can seen mostly in South-West and extends towards North-West. The fourth zone’s altitude varies from 3000 – 4000 metres, which can be observed mostly in the middle of Himachal and in the Northern part extending from North-West to South-East. The region above this has 4000- 5000 m altitude, and spread in the Northern part of Himachal. The region having 5000 – 6000 m altitude is also spread in the northern part, and the highest altitude region is 6000 -7000 m, the highest elevation in Himachal is only up to 6608 metre, the altitude up to 7000 is taken only for the purpose of making classes, and this region can be seen as patches in the northernmost part of Himachal. </p>
          <table-wrap id="table-wrap-1e65c4bdcc964f7097c94437f5511631" orientation="portrait">
            <label>Table 3</label>
            <caption id="caption-07c9502557004b4999fd6183832828ec">
              <title id="title-454be4c89723456bbdcff7b84c8a64ce">Elevations Zones in Himachal Pradesh</title>
            </caption>
            <table id="table-0c1594bf3c3d4218b36bf060d374b2bb" rules="rows">
              <colgroup>
                <col width="47.8"/>
                <col width="52.2"/>
              </colgroup>
              <tbody id="table-section-eefc0f341e894908bc46d9134bdaa1d9">
                <tr id="table-row-f6fc1c434af9488c8ba5c3a5f33d1bc3">
                  <td id="table-cell-b56aca21965142a2ba5349b6ae71dbed" align="left">
                    <p id="paragraph-6370561e03234d39bc88322808480531"> <bold id="strong-368fb855ea624cf68f4ed1f1119e213b">Altitude in metres</bold></p>
                  </td>
                  <td id="table-cell-d681ef5eb4d843aeb4fbfb04d4e64a86" align="left">
                    <p id="paragraph-7c8a91b1491e4e08b6a8078f411d1316"> <bold id="strong-ca1a6f7498f44b8f85afbd00a237d066">Area in </bold><bold id="strong-3146a8cee9d740a2b83be9c1863390cf">sq km.</bold></p>
                  </td>
                </tr>
                <tr id="table-row-195ccba80f4d4dc09ecc7669e4b4e14b">
                  <td id="table-cell-202f03fad8834d3991eafea577a0f1db" align="left">
                    <p id="paragraph-fc8ebeac7a95450787628bd6cf3a2b51"> 217 - 1000</p>
                  </td>
                  <td id="table-cell-79f6aca0740b4bdfa3a2539f29a1f926" align="left">
                    <p id="paragraph-77daa231a8e74ad6bf6e9903d0b5d5b1"> 14836.92</p>
                  </td>
                </tr>
                <tr id="table-row-82d0d96c0fef456b92aaea348bd2ce20">
                  <td id="table-cell-4a4b139643ec4b6ca6ccfee631f001de" align="left">
                    <p id="paragraph-33f03c68f7344d2d94280e31aa8d1973"> 1000 - 2000</p>
                  </td>
                  <td id="table-cell-4d4b2f6014c2405580ddd1a455cb6b45" align="left">
                    <p id="paragraph-ef7f3b63de2b4634906f65be0b0ed87a"> 12714.88</p>
                  </td>
                </tr>
                <tr id="table-row-c74116f1a4ce496a810628ecac9285ab">
                  <td id="table-cell-42d159fe5f674f56b772a8f745298216" align="left">
                    <p id="paragraph-78d1e27137734f6791fd01c967d58d8c"> 2000 - 3000</p>
                  </td>
                  <td id="table-cell-c282097830614fa385da7f0956e8df9a" align="left">
                    <p id="paragraph-063e562e7fed499ca320535b5cd917ad"> 10761.47</p>
                  </td>
                </tr>
                <tr id="table-row-4e30c1c945b9488496a3b1c883ae58f6">
                  <td id="table-cell-f46bb0cfb94648a684d85b678de01c5e" align="left">
                    <p id="paragraph-496c6f4f1b5547fe8126586084028781"> 3000 - 4000</p>
                  </td>
                  <td id="table-cell-d6eb06b6ee0a44caa8f95264cf58b6c4" align="left">
                    <p id="paragraph-7453ca1c39254986866baa8ec4ba98c1"> 9363.96</p>
                  </td>
                </tr>
                <tr id="table-row-6dbc777fc04d4a7589217919df057517">
                  <td id="table-cell-40c8dc8ef94a4b84b5e46202e0dd8539" align="left">
                    <p id="paragraph-b1bb5f4799da4e63af3624b2625e7de7"> 4000 - 5000</p>
                  </td>
                  <td id="table-cell-aa56cedd8d8543fd8eb5727b5294ee83" align="left">
                    <p id="paragraph-e935de0021dc4e5bb2c3add27879bb6a"> 16425.59</p>
                  </td>
                </tr>
                <tr id="table-row-ebe4fd5dbacf4a828b015b5070cb628e">
                  <td id="table-cell-88e6ec0167f94e4b80b95ea49a219ef6" align="left">
                    <p id="paragraph-0e6f9c5417e04796bf182320d6c0f405"> 5000 - 6000</p>
                  </td>
                  <td id="table-cell-a7f2b4f97ba34fe88064845564db904a" align="left">
                    <p id="paragraph-aa580a87855b40cfabf88753e984b49e"> 12533.35</p>
                  </td>
                </tr>
                <tr id="table-row-745fb42d741b4458b1c36a05222330de">
                  <td id="table-cell-723c4950ad464d25bf40cdf8ba93dd52" align="left">
                    <p id="paragraph-32295af7f8fb48c7874cf95bf6706951"> 6000 - 7000</p>
                  </td>
                  <td id="table-cell-da129244a6ac473584e35b7a3296973c" align="left">
                    <p id="paragraph-cf5186ecf120408590b2cb725fb8cb9e"> 151.07</p>
                  </td>
                </tr>
                <tr id="table-row-c7cebdc582714b04ab05a40cb6f7f10f">
                  <td id="table-cell-c3e0183fb59d476d9a30e438a53a6226" align="left">
                    <p id="paragraph-1a7685ace74e4f7ab752c0abadc0415f"> <bold id="strong-65daea068f634ea18b27a1c0d7239b4b">Total</bold></p>
                  </td>
                  <td id="table-cell-6ed4147e67ec47e296d4975c58cae6de" align="left">
                    <p id="paragraph-db3066cc734749a69c80d919605a072e"> <bold id="strong-d60ca420983c43acbb96df44f08a7359">76787.24</bold></p>
                  </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <fig id="figure-d5898fa345564f28b05f37c7fa2e6b0e" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 4 </label>
            <caption id="caption-fb3201ae29fd46fc9b1689620ff75bd3">
              <title id="title-45a707f0e9b6467e869efa0cd3ac2ca7"><bold id="strong-136e8157e77b40ddb35dfc39b10a020d"/>Elevations Zones in Himachal Pradesh</title>
            </caption>
            <graphic id="graphic-f8bc33dd4a4941d7bdc96c93d7f50aa6" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7b3f2455-4077-4c1a-a655-d8c21a89661eimage4.jpeg"/>
          </fig>
        </sec>
        <sec>
          <title id="t-a93f6774c78e">2.1.2 Land Use Land Cover</title>
          <p id="paragraph-c0b917c15fda4ce98c1e3278ea20009e">Land use land cover represents the natural resources above surface of the earth. This analysis is based on the data obtained from BHUVAN (<xref id="x-95060fd06dec" rid="figure-0f6cc26d7a49428c88dd19113c4b790e" ref-type="fig">Figure 5</xref>). <bold id="strong-e564d7b0484047ef84f5fec455b22d8c"> </bold>It is an Indian website which allows users to explore a 2D/3D representation of the surface of the Earth (India). Himachal Pradesh is very rich in natural resources; most of the area nearly 26% (14570.17 sq km) is covered by forest, Very less only 1% (622.53 sq km) of the area is covered by Built up. 15% (8579.45 sq km) of area is covered by Agricultural land, 16% (8660.77 sq km) area is classified as Grass/Grazing, 24% (13530.65 sq km) is Barren or Waste land, 3% (14447.73 sq km) is covered by water bodies and the remaining 15% (8261.72 sq km) of the area is under snow.</p>
          <table-wrap id="table-wrap-2ab200ca9dc04fe2883b493e539299af" orientation="portrait">
            <label>Table 4</label>
            <caption id="caption-42445ac22e5a4a51a85fbd04aa3cd15a">
              <title id="title-dac85454c66c4392a8daae4c8a9ddb5d">Area of LULC Classes in Himachal Pradesh (2011-12)</title>
            </caption>
            <table id="table-66543302fecf4ada9426d81a5bb7d05a" rules="rows">
              <colgroup>
                <col width="16.71"/>
                <col width="33.29"/>
                <col width="25"/>
                <col width="25"/>
              </colgroup>
              <tbody id="table-section-9f0e69b268ef4cd38e4f0f88532c8f0e">
                <tr id="table-row-8ba6614e60bf4fc3859115d1d0ec5810">
                  <td id="table-cell-a1ad942258e34c189b6ee69a7387049e" colspan="4" align="left">
                    <p id="paragraph-4367f758721545dcab1938e954dc1b3e"> <bold id="strong-0a301066035745d48ab6a3325b709380">LULC classes in Himachal Pradesh 2011-2012</bold></p>
                  </td>
                </tr>
                <tr id="table-row-8365b2295efd41bda2715e997680640b">
                  <td id="table-cell-1db81d02359a49519503f21a6b852e88" align="left">
                    <p id="paragraph-16c684a1c57244a2ad83cc64b0b0675d"> <bold id="strong-6b2662da38f448769f31b17bfca10216">Serial No.</bold></p>
                  </td>
                  <td id="table-cell-d208a3056ff04d9ca4041c5afe4221d5" align="left">
                    <p id="paragraph-ebed7fc9df3e447e836f67c917df483f"> <bold id="strong-5c80ed2a92db41a1805b1dee6b7fd14a">Classes</bold></p>
                  </td>
                  <td id="table-cell-8f07b5456c5e4ea199f91c92c84c4f64" align="left">
                    <p id="paragraph-6a8268d8f41d49cdbf0684378d486d0f"> <bold id="strong-1674213a21d4492bab685c045ca61bd5">Area in </bold><bold id="strong-c314f96679f44757a428acb91e1fcf3b">sq km</bold></p>
                  </td>
                  <td id="table-cell-a34da391471147539a8d4a2d2ab665c2" align="left">
                    <p id="paragraph-9355bc0fb90c403181640a24f44bdeb1"> <bold id="strong-0a76be2e444e49f09bdd19c75cd5c69c">Percent Area</bold></p>
                  </td>
                </tr>
                <tr id="table-row-1a720745ba524e75a9ad74b13c4f7f93">
                  <td id="table-cell-2b0f9e4cae7f4c92b1f87256c52d53a7" align="left">
                    <p id="paragraph-951d420f707b4b9291a51de3783ec63f"> 1.</p>
                  </td>
                  <td id="table-cell-2cdb535090854d4685756c06500db4f3" align="left">
                    <p id="paragraph-78cbbb9cd23645ae8854d3b20105dd4d"> Built up</p>
                  </td>
                  <td id="table-cell-1b99173348d2423fa3baeef243af7987" align="left">
                    <p id="paragraph-6b0d39e4adbc49c3a45d2d262255056a"> 622.53</p>
                  </td>
                  <td id="table-cell-eabadf798eba45bd88f699299410dd8c" align="left">
                    <p id="paragraph-78d41633d773423ab4270a6f9719b984"> 1%</p>
                  </td>
                </tr>
                <tr id="table-row-60e0613cdd604bbea308e3b2f401efe4">
                  <td id="table-cell-ed389d2f382f4e78bb488bae3b1f0b94" align="left">
                    <p id="paragraph-5838547d774744f5b54ad27195a85576"> 2.</p>
                  </td>
                  <td id="table-cell-190e4b13207445a9b69e042f5fa18b6b" align="left">
                    <p id="paragraph-4b0c062887954ba3ba6c6b82ffb3d9db"> Agricultural land</p>
                  </td>
                  <td id="table-cell-68fa88b5739e41bba8455b47e32d4d17" align="left">
                    <p id="paragraph-cc4b487b3b9f4bf29161347904321fa0"> 8579.45</p>
                  </td>
                  <td id="table-cell-e829a77365db4b24871607e18b0b3459" align="left">
                    <p id="paragraph-3a98c7b5f3ff43c58971b38b90b24788"> 15%</p>
                  </td>
                </tr>
                <tr id="table-row-f4635e863a6c4740b5cf8d71c2d2eb94">
                  <td id="table-cell-c12c58a792864547be8b0896a3b345bb" align="left">
                    <p id="paragraph-6536b0f8bcb44684b75ac343efd3293d"> 3.</p>
                  </td>
                  <td id="table-cell-6b58e9553ef746f7ad4116bac162d39e" align="left">
                    <p id="paragraph-c3f493ee19d14772b2f3397908dcb8a9"> Forest</p>
                  </td>
                  <td id="table-cell-8bf60a17f8bb47cdae07348344bacdeb" align="left">
                    <p id="paragraph-f6c9209256994a91b4c9b18b5591e62c"> 14570.17</p>
                  </td>
                  <td id="table-cell-65847d8b849f4901b76967d065401751" align="left">
                    <p id="paragraph-091ef69b8b6645fd9a9222288981e3e4"> 26%</p>
                  </td>
                </tr>
                <tr id="table-row-72d3afd8b84d4e48821e814eeb40f5a2">
                  <td id="table-cell-3934dd396ba6401ca745f842889eda96" align="left">
                    <p id="paragraph-f5aa113afbe64cc69cceabb46558d2a6"> 4.</p>
                  </td>
                  <td id="table-cell-822598ec5baa45e78e4c5ad51012925c" align="left">
                    <p id="paragraph-27bb9ebdc455420a818d4ec69ab19ef0"> Grass/Grazing</p>
                  </td>
                  <td id="table-cell-b88e991fc5224ddc9183ed9dac6702cd" align="left">
                    <p id="paragraph-84def12db61b4a0187522b3bcf5562d9"> 8660.77</p>
                  </td>
                  <td id="table-cell-5f4f0437dcde4757948bd1f9e55272df" align="left">
                    <p id="paragraph-3af125e3075e45c3b706f91f4660df0f"> 16%</p>
                  </td>
                </tr>
                <tr id="table-row-0adac48a9a424634bee87db58994e932">
                  <td id="table-cell-f91215c587714b3abdc0d4d9a2416eec" align="left">
                    <p id="paragraph-d59c3feee6f3437fb949742c5d245dcd"> 5.</p>
                  </td>
                  <td id="table-cell-2f803789bc9b4c8d8240d72f127c8402" align="left">
                    <p id="paragraph-e2817167cdf1417597d5f82a7471e56a"> Barren/Wasteland</p>
                  </td>
                  <td id="table-cell-d6dacc66008f4a0db52829b2fe012933" align="left">
                    <p id="paragraph-87b11f40bee74c1bbb9e7ab2fa6522f9"> 13530.65</p>
                  </td>
                  <td id="table-cell-c81d80d3d1ce4ae59de35673d26ab66c" align="left">
                    <p id="paragraph-1eadb54393524326a26713b482f80da6"> 24%</p>
                  </td>
                </tr>
                <tr id="table-row-8ef4e86b96704425816614ebcc834949">
                  <td id="table-cell-f8532fcbadc24762af3fea7255285503" align="left">
                    <p id="paragraph-e9e43a27301b4b8e91f8aff12d0d3d90"> 6.</p>
                  </td>
                  <td id="table-cell-f85059aaeaf04168891ac31e4ed0b295" align="left">
                    <p id="paragraph-3b3f15f21ea04b04a7edf16d3d11629d"> Wet lands/Water bodies</p>
                  </td>
                  <td id="table-cell-bed58002b9e548b5be5ebdb875e49024" align="left">
                    <p id="paragraph-ef518cc7fc34458a9a779bd34261da43"> 1447.73</p>
                  </td>
                  <td id="table-cell-bfa085733906493da859a4529c6f3741" align="left">
                    <p id="paragraph-a220ebf601304607a59e2533826b15aa"> 3%</p>
                  </td>
                </tr>
                <tr id="table-row-0602e2500eca437e82b388ef00bb3f3b">
                  <td id="table-cell-a69f2c17da2c41dca6cd0725d611cea2" align="left">
                    <p id="paragraph-36a1cd8a4b3c4e5cbdd69cd7aec9fd67"> 7.</p>
                  </td>
                  <td id="table-cell-43b0f03cd63c438eaedb012702918157" align="left">
                    <p id="paragraph-1b75c357eeaf4595a2dd8e4669c46cb3"> Snow and Glaciers</p>
                  </td>
                  <td id="table-cell-c9ba86801d2a4ab49d616e13d0ce5694" align="left">
                    <p id="paragraph-9b0bb7bfcad84a66ade2fa10375216fb"> 8261.72</p>
                  </td>
                  <td id="table-cell-2f7a61c2db0a4d30a244a58a716b4705" align="left">
                    <p id="paragraph-1122059f774644f59411e51f81a2033c"> 15%</p>
                  </td>
                </tr>
                <tr id="table-row-4b88860b6464488da7c505dec945b5f8">
                  <td id="table-cell-fbccc2b2126c4bf581fb5535911a5de6" colspan="2" align="left">
                    <p id="paragraph-63dd98b2c48441de94e4d0d79c1bd9f4"> <bold id="strong-c8ac5ebdea8c4013a23c15c8f8b3a3ed">Total</bold></p>
                  </td>
                  <td id="table-cell-3c775fae7c084833b8c337873c16b721" align="left">
                    <p id="paragraph-ed83806fbf5241008d46f3e472ada9c3"> <bold id="strong-15a0d60ae12f4aed9e95e20f57d63938">55673</bold></p>
                  </td>
                  <td id="table-cell-e4f73c2b3bec4ccf9901533ec243ecc6" align="left">
                    <p id="paragraph-d211e461a37848bb8f6a469d82cad485"> <bold id="strong-ff8a2a55740c43bea21034788e59da46">100</bold></p>
                  </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <fig id="figure-0f6cc26d7a49428c88dd19113c4b790e" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 5 </label>
            <caption id="caption-c329f2816d76485ba64cc79b72679f0d">
              <title id="title-b6b89bfb37644a11a6146c8731f12359"><bold id="strong-f2df7f7868a54587bfdd9bb311e5f26a"/><bold id="strong-8546d1f027b44c3b8a37400c2a91ddc1"/>LULC Classes in Himachal Pradesh: 2011-2012 (Source-BHUVAN Website)</title>
            </caption>
            <graphic id="graphic-a2c545363b91498b934c71aba7f73044" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7b3f2455-4077-4c1a-a655-d8c21a89661eimage5.png"/>
          </fig>
          <p id="t-345cc7da8f12"/>
          <p id="t-627c7cd06753"/>
          <fig id="f-e0b711b456b2" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 6 </label>
            <caption id="c-b31578f96295">
              <title id="t-b709339c6652">Percent Area under LULC Classes in Himachal Pradesh (2011-2012)</title>
            </caption>
            <graphic id="g-a44cbf945d24" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/6f19e70d-a1dc-45ea-a817-943480f05529-uimage.png"/>
          </fig>
          <p id="p-7ecf1d49ff99"/>
        </sec>
      </sec>
    </sec>
    <sec>
      <title id="title-84dad5a0c1a94b349cefbd2de5d9feec">Results and Discussion</title>
      <p id="paragraph-7814967d5249404d870f1cb8f4553919">There are mainly two types of analysis done in this study. Snow cover area is calculated for each month From January 2005 to December 2015 and tabulated (<xref id="x-76676f5c8e29" rid="tw-e7dc090c0524" ref-type="table">Table 5</xref>) and also snow cover area maps for each Month are prepared. Then snow cover area analysis with elevation is done, minimum elevation it has reached every month is identified, and the results are tabulated (<xref id="x-94cdf2d97454" rid="table-wrap-e3d55a20aee24395bda5e4f5eb023d84" ref-type="table">Table 6</xref>) and also a line graph (<xref id="x-1b3bd940b043" rid="f-23f7bf183020" ref-type="fig">Figure 13</xref>) is prepared showing elevation in metres. </p>
      <list list-type="order">
        <list-item id="li-ef79d0a21d84">
          <p>Variations in Snow Cover Area.</p>
        </list-item>
        <list-item id="li-4039d8fa440c">
          <p>Minimum Elevation of Snow Cover Area.</p>
        </list-item>
      </list>
      <sec>
        <title id="t-4f44945582b2">Variation in Snow Cover Area</title>
        <p id="paragraph-cac06eab61b44f97a31071ec9f564f27">In the year 2005 (<xref id="x-e46dcb10c757" rid="f-64634e0771e4" ref-type="fig">Figure 7</xref>) the SCA has decreased gradually from January (35939.66 sq km) to February (16982.72 sq km) and increased in March month (38933.93 sq km) where it reaches its maximum and then from April (34667.81 sq km) onwards the snow starts melting or decreasing gradually in May (29363.59 sq km), June (21673.66 sq km), July (14440.52 sq km), August (10194.36 sq km) and until September (10126.74 sq km) where its reaches its minimum. And again from September onwards the snow increases in October (16772.36 sq km), November (14361.52 sq km) till December month (13753.83 sq km).</p>
        <p id="p-3c55fdcaa9d4"/>
        <table-wrap id="tw-e7dc090c0524" orientation="portrait">
          <label>Table 5</label>
          <caption id="c-65671525826a">
            <title id="t-a3dd8895a26d">Snow Cover Area in Himachal Pradesh (2005-2015)</title>
          </caption>
          <table id="table-1" rules="rows">
            <colgroup>
              <col width="8.89"/>
              <col width="7.109999999999999"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8.73"/>
              <col width="8.33"/>
              <col width="8.479999999999999"/>
              <col width="10.46"/>
            </colgroup>
            <tbody id="table-section-1">
              <tr id="table-row-1">
                <td id="table-cell-1" colspan="12" align="left">
                  <p id="p-ed83f7a6205f">
                    <bold id="s-e0c4e4da8af0">Snow Cover Area in square kilometres</bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-2">
                <td id="table-cell-2" align="left">
                  <p id="p-8b4255b5a6c7">
                    <bold id="s-7238fd5e4065">Year</bold>
                  </p>
                </td>
                <td id="table-cell-3" rowspan="2" align="left">
                  <p id="paragraph-3">
                    <bold id="s-86e089f872f9">2005</bold>
                  </p>
                </td>
                <td id="table-cell-4" rowspan="2" align="left">
                  <p id="paragraph-4">
                    <bold id="s-9b4c64c9d6fd">2006</bold>
                  </p>
                </td>
                <td id="table-cell-5" rowspan="2" align="left">
                  <p id="paragraph-5">
                    <bold id="s-74e15e78e079">2007</bold>
                  </p>
                </td>
                <td id="table-cell-6" rowspan="2" align="left">
                  <p id="paragraph-6">
                    <bold id="s-f594b3abcdcc">2008</bold>
                  </p>
                </td>
                <td id="table-cell-7" rowspan="2" align="left">
                  <p id="paragraph-7">
                    <bold id="s-1fbdcd92511d">2009</bold>
                  </p>
                </td>
                <td id="table-cell-8" rowspan="2" align="left">
                  <p id="paragraph-8">
                    <bold id="s-e3101d5a5087">2010</bold>
                  </p>
                </td>
                <td id="table-cell-9" rowspan="2" align="left">
                  <p id="paragraph-9">
                    <bold id="s-ecb28c476a59">2011</bold>
                  </p>
                </td>
                <td id="table-cell-10" rowspan="2" align="left">
                  <p id="paragraph-10">
                    <bold id="s-a210a486ec10">2012</bold>
                  </p>
                </td>
                <td id="table-cell-11" rowspan="2" align="left">
                  <p id="paragraph-11">
                    <bold id="s-d97f0dc98782">2013</bold>
                  </p>
                </td>
                <td id="table-cell-12" rowspan="2" align="left">
                  <p id="paragraph-12">
                    <bold id="s-0340ef34ec14">2014</bold>
                  </p>
                </td>
                <td id="table-cell-13" rowspan="2" align="left">
                  <p id="paragraph-13">
                    <bold id="s-2e7c172e578e">2015</bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-3">
                <td id="table-cell-14" align="left">
                  <p id="paragraph-14">
                    <bold id="s-e516a23db15b">Months</bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-4">
                <td id="table-cell-15" align="left">
                  <p id="paragraph-15">Jan</p>
                </td>
                <td id="table-cell-16" align="left">
                  <p id="paragraph-16">35939.66</p>
                </td>
                <td id="table-cell-17" align="left">
                  <p id="paragraph-17">25218.74</p>
                </td>
                <td id="table-cell-18" align="left">
                  <p id="paragraph-18">30578.99</p>
                </td>
                <td id="table-cell-19" align="left">
                  <p id="paragraph-19">18114.40</p>
                </td>
                <td id="table-cell-20" align="left">
                  <p id="paragraph-20">34313.40</p>
                </td>
                <td id="table-cell-21" align="left">
                  <p id="paragraph-21">32132.26</p>
                </td>
                <td id="table-cell-22" align="left">
                  <p id="paragraph-22">38785.82</p>
                </td>
                <td id="table-cell-23" align="left">
                  <p id="paragraph-23">22807.48</p>
                </td>
                <td id="table-cell-24" align="left">
                  <p id="paragraph-24">30531.12</p>
                </td>
                <td id="table-cell-25" align="left">
                  <p id="paragraph-25">34579.58</p>
                </td>
                <td id="table-cell-26" align="left">
                  <p id="paragraph-26">35737.66</p>
                </td>
              </tr>
              <tr id="table-row-5">
                <td id="table-cell-27" align="left">
                  <p id="paragraph-27">Feb</p>
                </td>
                <td id="table-cell-28" align="left">
                  <p id="paragraph-28">16982.72</p>
                </td>
                <td id="table-cell-29" align="left">
                  <p id="paragraph-29">29422.62</p>
                </td>
                <td id="table-cell-30" align="left">
                  <p id="paragraph-30">31040.29</p>
                </td>
                <td id="table-cell-31" align="left">
                  <p id="paragraph-31">39514.15</p>
                </td>
                <td id="table-cell-32" align="left">
                  <p id="paragraph-32">35554.13</p>
                </td>
                <td id="table-cell-33" align="left">
                  <p id="paragraph-33">36030.03</p>
                </td>
                <td id="table-cell-34" align="left">
                  <p id="paragraph-34">29002.43</p>
                </td>
                <td id="table-cell-35" align="left">
                  <p id="paragraph-35">26884.07</p>
                </td>
                <td id="table-cell-36" align="left">
                  <p id="paragraph-36">37151.19</p>
                </td>
                <td id="table-cell-37" align="left">
                  <p id="paragraph-37">39631.14</p>
                </td>
                <td id="table-cell-38" align="left">
                  <p id="paragraph-38">40394.47</p>
                </td>
              </tr>
              <tr id="table-row-6">
                <td id="table-cell-39" align="left">
                  <p id="paragraph-39">Mar</p>
                </td>
                <td id="table-cell-40" align="left">
                  <p id="paragraph-40">38933.93</p>
                </td>
                <td id="table-cell-41" align="left">
                  <p id="paragraph-41">36264.01</p>
                </td>
                <td id="table-cell-42" align="left">
                  <p id="paragraph-42">39506.43</p>
                </td>
                <td id="table-cell-43" align="left">
                  <p id="paragraph-43">33845.88</p>
                </td>
                <td id="table-cell-44" align="left">
                  <p id="paragraph-44">31532.29</p>
                </td>
                <td id="table-cell-45" align="left">
                  <p id="paragraph-45">36052.57</p>
                </td>
                <td id="table-cell-46" align="left">
                  <p id="paragraph-46">38579.74</p>
                </td>
                <td id="table-cell-47" align="left">
                  <p id="paragraph-47">38177.26</p>
                </td>
                <td id="table-cell-48" align="left">
                  <p id="paragraph-48">40246.57</p>
                </td>
                <td id="table-cell-49" align="left">
                  <p id="paragraph-49">24388.23</p>
                </td>
                <td id="table-cell-50" align="left">
                  <p id="paragraph-50">35353.21</p>
                </td>
              </tr>
              <tr id="table-row-7">
                <td id="table-cell-51" align="left">
                  <p id="paragraph-51">Apr</p>
                </td>
                <td id="table-cell-52" align="left">
                  <p id="paragraph-52">34667.81</p>
                </td>
                <td id="table-cell-53" align="left">
                  <p id="paragraph-53">33456.92</p>
                </td>
                <td id="table-cell-54" align="left">
                  <p id="paragraph-54">30741.05</p>
                </td>
                <td id="table-cell-55" align="left">
                  <p id="paragraph-55">31294.44</p>
                </td>
                <td id="table-cell-56" align="left">
                  <p id="paragraph-56">32756.91</p>
                </td>
                <td id="table-cell-57" align="left">
                  <p id="paragraph-57">31187.54</p>
                </td>
                <td id="table-cell-58" align="left">
                  <p id="paragraph-58">35154.44</p>
                </td>
                <td id="table-cell-59" align="left">
                  <p id="paragraph-59">29524.58</p>
                </td>
                <td id="table-cell-60" align="left">
                  <p id="paragraph-60">33178.93</p>
                </td>
                <td id="table-cell-61" align="left">
                  <p id="paragraph-61">37777.14</p>
                </td>
                <td id="table-cell-62" align="left">
                  <p id="paragraph-62">30709.50</p>
                </td>
              </tr>
              <tr id="table-row-8">
                <td id="table-cell-63" align="left">
                  <p id="paragraph-63">May</p>
                </td>
                <td id="table-cell-64" align="left">
                  <p id="paragraph-64">29363.59</p>
                </td>
                <td id="table-cell-65" align="left">
                  <p id="paragraph-65">21125.42</p>
                </td>
                <td id="table-cell-66" align="left">
                  <p id="paragraph-66">23581.97</p>
                </td>
                <td id="table-cell-67" align="left">
                  <p id="paragraph-67">22221.04</p>
                </td>
                <td id="table-cell-68" align="left">
                  <p id="paragraph-68">27426.08</p>
                </td>
                <td id="table-cell-69" align="left">
                  <p id="paragraph-69">27418.57</p>
                </td>
                <td id="table-cell-70" align="left">
                  <p id="paragraph-70">26901.88</p>
                </td>
                <td id="table-cell-71" align="left">
                  <p id="paragraph-71">28832.74</p>
                </td>
                <td id="table-cell-72" align="left">
                  <p id="paragraph-72">29345.56</p>
                </td>
                <td id="table-cell-73" align="left">
                  <p id="paragraph-73">28832.74</p>
                </td>
                <td id="table-cell-74" align="left">
                  <p id="paragraph-74">31227.04</p>
                </td>
              </tr>
              <tr id="table-row-9">
                <td id="table-cell-75" align="left">
                  <p id="paragraph-75">Jun</p>
                </td>
                <td id="table-cell-76" align="left">
                  <p id="paragraph-76">21673.66</p>
                </td>
                <td id="table-cell-77" align="left">
                  <p id="paragraph-77">12188.10</p>
                </td>
                <td id="table-cell-78" align="left">
                  <p id="paragraph-78">13193.57</p>
                </td>
                <td id="table-cell-79" align="left">
                  <p id="paragraph-79">12328.49</p>
                </td>
                <td id="table-cell-80" align="left">
                  <p id="paragraph-80">19580.95</p>
                </td>
                <td id="table-cell-81" align="left">
                  <p id="paragraph-81">20978.59</p>
                </td>
                <td id="table-cell-82" align="left">
                  <p id="paragraph-82">16899.43</p>
                </td>
                <td id="table-cell-83" align="left">
                  <p id="paragraph-83">19586.75</p>
                </td>
                <td id="table-cell-84" align="left">
                  <p id="paragraph-84">17650.95</p>
                </td>
                <td id="table-cell-85" align="left">
                  <p id="paragraph-85">20944.03</p>
                </td>
                <td id="table-cell-86" align="left">
                  <p id="paragraph-86">23055.20</p>
                </td>
              </tr>
              <tr id="table-row-10">
                <td id="table-cell-87" align="left">
                  <p id="paragraph-87">July</p>
                </td>
                <td id="table-cell-88" align="left">
                  <p id="paragraph-88">14440.52</p>
                </td>
                <td id="table-cell-89" align="left">
                  <p id="paragraph-89">9398.62</p>
                </td>
                <td id="table-cell-90" align="left">
                  <p id="paragraph-90">8284.75</p>
                </td>
                <td id="table-cell-91" align="left">
                  <p id="paragraph-91">7002.81</p>
                </td>
                <td id="table-cell-92" align="left">
                  <p id="paragraph-92">11569.03</p>
                </td>
                <td id="table-cell-93" align="left">
                  <p id="paragraph-93">13066.49</p>
                </td>
                <td id="table-cell-94" align="left">
                  <p id="paragraph-94">10662.31</p>
                </td>
                <td id="table-cell-95" align="left">
                  <p id="paragraph-95">11449.25</p>
                </td>
                <td id="table-cell-96" align="left">
                  <p id="paragraph-96">10608.22</p>
                </td>
                <td id="table-cell-97" align="left">
                  <p id="paragraph-97">13879.83</p>
                </td>
                <td id="table-cell-98" align="left">
                  <p id="paragraph-98">14663.33</p>
                </td>
              </tr>
              <tr id="table-row-11">
                <td id="table-cell-99" align="left">
                  <p id="paragraph-99">Aug</p>
                </td>
                <td id="table-cell-100" align="left">
                  <p id="paragraph-100">10194.36</p>
                </td>
                <td id="table-cell-101" align="left">
                  <p id="paragraph-101">7558.99</p>
                </td>
                <td id="table-cell-102" align="left">
                  <p id="paragraph-102">7441.57</p>
                </td>
                <td id="table-cell-103" align="left">
                  <p id="paragraph-103">8848.45</p>
                </td>
                <td id="table-cell-104" align="left">
                  <p id="paragraph-104">10614.01</p>
                </td>
                <td id="table-cell-105" align="left">
                  <p id="paragraph-105">10429.19</p>
                </td>
                <td id="table-cell-106" align="left">
                  <p id="paragraph-106">12742.78</p>
                </td>
                <td id="table-cell-107" align="left">
                  <p id="paragraph-107">7793.40</p>
                </td>
                <td id="table-cell-108" align="left">
                  <p id="paragraph-108">6545.80</p>
                </td>
                <td id="table-cell-109" align="left">
                  <p id="paragraph-109">10055.69</p>
                </td>
                <td id="table-cell-110" align="left">
                  <p id="paragraph-110">8997.42</p>
                </td>
              </tr>
              <tr id="table-row-12">
                <td id="table-cell-111" align="left">
                  <p id="paragraph-111">Sept</p>
                </td>
                <td id="table-cell-112" align="left">
                  <p id="paragraph-112">10126.74</p>
                </td>
                <td id="table-cell-113" align="left">
                  <p id="paragraph-113">10231.71</p>
                </td>
                <td id="table-cell-114" align="left">
                  <p id="paragraph-114">9973.04</p>
                </td>
                <td id="table-cell-115" align="left">
                  <p id="paragraph-115">13699.95</p>
                </td>
                <td id="table-cell-116" align="left">
                  <p id="paragraph-116">22093.96</p>
                </td>
                <td id="table-cell-117" align="left">
                  <p id="paragraph-117">12645.76</p>
                </td>
                <td id="table-cell-118" align="left">
                  <p id="paragraph-118">10483.50</p>
                </td>
                <td id="table-cell-119" align="left">
                  <p id="paragraph-119">8995.06</p>
                </td>
                <td id="table-cell-120" align="left">
                  <p id="paragraph-120">7704.10</p>
                </td>
                <td id="table-cell-121" align="left">
                  <p id="paragraph-121">8156.81</p>
                </td>
                <td id="table-cell-122" align="left">
                  <p id="paragraph-122">10103.55</p>
                </td>
              </tr>
              <tr id="table-row-13">
                <td id="table-cell-123" align="left">
                  <p id="paragraph-123">Oct</p>
                </td>
                <td id="table-cell-124" align="left">
                  <p id="paragraph-124">16772.36</p>
                </td>
                <td id="table-cell-125" align="left">
                  <p id="paragraph-125">12933.40</p>
                </td>
                <td id="table-cell-126" align="left">
                  <p id="paragraph-126">20711.13</p>
                </td>
                <td id="table-cell-127" align="left">
                  <p id="paragraph-127">20711.13</p>
                </td>
                <td id="table-cell-128" align="left">
                  <p id="paragraph-128">20759.00</p>
                </td>
                <td id="table-cell-129" align="left">
                  <p id="paragraph-129">19912.17</p>
                </td>
                <td id="table-cell-130" align="left">
                  <p id="paragraph-130">12144.10</p>
                </td>
                <td id="table-cell-131" align="left">
                  <p id="paragraph-131">16308.91</p>
                </td>
                <td id="table-cell-132" align="left">
                  <p id="paragraph-132">13149.99</p>
                </td>
                <td id="table-cell-133" align="left">
                  <p id="paragraph-133">13016.90</p>
                </td>
                <td id="table-cell-134" align="left">
                  <p id="paragraph-134">20041.82</p>
                </td>
              </tr>
              <tr id="table-row-14">
                <td id="table-cell-135" align="left">
                  <p id="paragraph-135">Nov</p>
                </td>
                <td id="table-cell-136" align="left">
                  <p id="paragraph-136">14361.52</p>
                </td>
                <td id="table-cell-137" align="left">
                  <p id="paragraph-137">20367.46</p>
                </td>
                <td id="table-cell-138" align="left">
                  <p id="paragraph-138">12700.71</p>
                </td>
                <td id="table-cell-139" align="left">
                  <p id="paragraph-139">23800.07</p>
                </td>
                <td id="table-cell-140" align="left">
                  <p id="paragraph-140">34039.50</p>
                </td>
                <td id="table-cell-141" align="left">
                  <p id="paragraph-141">24109.82</p>
                </td>
                <td id="table-cell-142" align="left">
                  <p id="paragraph-142">16307.40</p>
                </td>
                <td id="table-cell-143" align="left">
                  <p id="paragraph-143">15639.39</p>
                </td>
                <td id="table-cell-144" align="left">
                  <p id="paragraph-144">20943.17</p>
                </td>
                <td id="table-cell-145" align="left">
                  <p id="paragraph-145">19464.60</p>
                </td>
                <td id="table-cell-146" align="left">
                  <p id="paragraph-146">27337.21</p>
                </td>
              </tr>
              <tr id="table-row-15">
                <td id="table-cell-147" align="left">
                  <p id="paragraph-147">Dec</p>
                </td>
                <td id="table-cell-148" align="left">
                  <p id="paragraph-148">13753.83</p>
                </td>
                <td id="table-cell-149" align="left">
                  <p id="paragraph-149">36271.52</p>
                </td>
                <td id="table-cell-150" align="left">
                  <p id="paragraph-150">24158.55</p>
                </td>
                <td id="table-cell-151" align="left">
                  <p id="paragraph-151">27890.82</p>
                </td>
                <td id="table-cell-152" align="left">
                  <p id="paragraph-152">32981.23</p>
                </td>
                <td id="table-cell-153" align="left">
                  <p id="paragraph-153">22410.37</p>
                </td>
                <td id="table-cell-154" align="left">
                  <p id="paragraph-154">19006.31</p>
                </td>
                <td id="table-cell-155" align="left">
                  <p id="paragraph-155">29030.44</p>
                </td>
                <td id="table-cell-156" align="left">
                  <p id="paragraph-156">21719.59</p>
                </td>
                <td id="table-cell-157" align="left">
                  <p id="paragraph-157">18312.96</p>
                </td>
                <td id="table-cell-158" align="left">
                  <p id="paragraph-158">27928.60</p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-159"> </p>
        <p id="paragraph-53e538d5680c45fd938bcff78df639af">The SCA maps of Himachal Pradesh for the year 2006 (<xref id="x-2a908426fd55" rid="f-64634e0771e4" ref-type="fig">Figure 7</xref>) shows that the SCA has increased gradually from January (25218.74 sq km) to February (29422.62 sq km) and March (36264.01sq km) month and then from April (33456.92 sq km) onwards the snow starts melting or decreasing gradually in May (21125.42 sq km), June (12188.10 sq km), July (9398.62 sq km) and until August (7558.99 sq km) where it reaches its minimum value, and then from September (10126.74 sq km) again from September (10231.71 sq km) onwards the snow increases in October (12933.40 sq km), November (20367.46 sq km) till December month (36271.52 sq km) where it is observed to be maximum.</p>
        <p id="p-3390b1de5935"/>
        <fig id="f-64634e0771e4" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 7 </label>
          <caption id="c-59bb8c9c83e0">
            <title id="t-48f2ea65e200">Snow Cover Area in Himachal Pradesh (2005 and<bold id="strong-bdc165b0a81e49e4b08edac5e2954834"> </bold>2006)</title>
          </caption>
          <graphic id="g-26a501620039" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/8a4bfbe2-43d2-41b2-af78-92b58da7a21f-uimage.png"/>
        </fig>
        <p id="p-a4aee51319fd"/>
        <p id="paragraph-ca387afa0dd94c31bae7bd4e0453e20d">In the year 2007 (<xref id="x-746719fbf628" rid="f-82afbdca11bb" ref-type="fig">Figure 8</xref>) the SCA has increased gradually from January (30578.99 sq km) to February (31040.29 sq km) and March month (39506.43 sq km) where it reaches its maximum value and then from April (30741.05 sq km) onwards the snow starts melting or decreasing gradually in May (23581.97 sq km), June (13193.57 sq km), July (8284.75 sq km) and until August (7441.57 sq km) where it reaches its minimum value, and then from September (9973.04 sq km)  onwards the snow increases in October (20711.13 sq km), November (12700.71sq km) till December month (24158.55 sq km). </p>
        <p id="paragraph-9b658095398949668870b97a4a0ed2fa">In the year 2008 (<xref id="x-fec3ce64b8bb" rid="f-82afbdca11bb" ref-type="fig">Figure 8</xref>) the SCA has increased gradually from January (18114.40 sq km) to February (39514.15 sq km) where it is maximum and starts decreasing from March month (33845.88 sq km) in April (31294.44 sq km) May (22221.04 sq km), June (12328.49 sq km), July (7002.81 sq km) where it is minimum and from August (8848.45 sq km) it is increasing in September (13699.95 sq km)  October (13699.95 sq km), November (23800.07 sq km) till December month (27890.82 sq km).</p>
        <p id="paragraph-005c6826b06d4df593c06732d651eae8">In 2009 (<xref id="x-285ffff15fa6" rid="f-4057c488cd0b" ref-type="fig">Figure 9</xref>) has increased gradually from January (34313.40 sq km) to February (35554.13 sq km) where it is maximum and starts decreasing from March month (31532.29 sq km) in April (32756.91sq km) May (27426.08 sq km), June (19580.95 sq km), July (11569.03 sq km) and until August (10614.01sq km) where it is minimum and it decreases from September (22093.96 sq km)  to October (20759.00 sq km) and increases in November (34039.50 sq km) and again decreases in December month (32981.23 sq km). </p>
        <p id="p-d91c509a4e4a"/>
        <fig id="f-82afbdca11bb" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 8 </label>
          <caption id="c-b0c619a79c6c">
            <title id="t-4df5206a3c6c">Snow Cover Area in Himachal Pradesh (2007 and 2008)</title>
          </caption>
          <graphic id="g-1689c6165274" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/138ff6b3-f3e1-4f27-a67e-eec1e99db5c2-uimage.png"/>
        </fig>
        <p id="p-c38e05883065"/>
        <fig id="f-4057c488cd0b" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 9 </label>
          <caption id="c-eda4f5ee541f">
            <title id="t-15c634dbe07f">Snow Cover Area in Himachal Pradesh (2009 and 2010)</title>
          </caption>
          <graphic id="g-ffd2a1ae93c3" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/0c58d80f-2a9f-4717-b033-d8f6ed7397b2-uimage.png"/>
        </fig>
        <p id="p-db1dd56a528b"/>
        <p id="paragraph-053a38ca21084229a167a63ccf808e85">In 2010 (<xref id="x-dbf8f0555368" rid="f-4057c488cd0b" ref-type="fig">Figure 9</xref>) the SCA has increased gradually from January (32132.26 sq km) to February (36030.03 sq km) and March (36052.57 sq km)where it is maximum and starts decreasing in April (31187.54 sq km) May (27418.57sq km), June (20978.59 sq km), July (13066.49 sq km) and until August (10429.19 km) where it is minimum and it increases from September (12645.76 sq km) to October (19912.17 sq km) and increases in November (24109.82 sq km) and again decreases in December month (22410.37sq km).</p>
        <p id="p-599ec89c0bf8"/>
        <fig id="f-7975390afc0b" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 10 </label>
          <caption id="c-dc6e5813e094">
            <title id="t-1f9f6aeca6a7">Snow Cover Area in Himachal Pradesh (2011 and 2012)</title>
          </caption>
          <graphic id="g-0cf3b115b845" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/04958369-6f01-414c-90cf-ac1746e7b164-uimage.png"/>
        </fig>
        <p id="p-61bd6c5fd4d9"/>
        <p id="paragraph-0e4919cf14c14525ab8499b6d7cc92b7">In 2011 (<xref id="x-5018d9f4197b" rid="f-7975390afc0b" ref-type="fig">Figure 10</xref>) shows that the SCA has decreased from January (38785.82 sq km) to February (13514.70 sq km) and increased in March (38579.74 sq km) where it is maximum and starts decreasing in April (35154.44 sq km) May (26901.88 km), June (16899.43 sq km), July (10662.31 sq km) and increases slightly in August (12742.78 sq km) and again decreased in September (10483.50 sq km) where it is minimum, it increases from October (12144.10 sq km), November (16307.40 sq km) December month (19006.31sq km).</p>
        <p id="paragraph-e5b5a81e105e4418b896241adb4816e2">In 2012 (<xref id="x-49da5bc34300" rid="f-7975390afc0b" ref-type="fig">Figure 10</xref>) the SCA has increased from January (22807.48 sq km) to February (26884.07 sq km) and in March (38177.26 sq km) where it is maximum and starts decreasing in April (29524.58 sq km) May (28832.74 sq km), June (19586.75 sq km), July (11449.25 sq km) and August (7793.40 sq km) where it is minimum and again increases in September (8995.06 sq km) October (16308.91 sq km), November (16307.40 sq km) till December month (29030.44 sq km).</p>
        <p id="p-8d9c12a3bd2e"/>
        <fig id="f-f566f0b67400" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 11 </label>
          <caption id="c-8ea143fc39c7">
            <title id="t-b3ed12bed533">Snow Cover Area in Himachal Pradesh (2013<bold id="strong-9d3014bf274b49e1bd3dfc0743f026ce"> </bold>and 2014)</title>
          </caption>
          <graphic id="g-dc5f5abb004f" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/4e696cf6-0cb1-4f1e-987d-bbd6defa89d6-uimage.png"/>
        </fig>
        <p id="p-f24049737036"/>
        <fig id="figure-89051a64ddc5448b93c071354bb9b40e" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 12 </label>
          <caption id="caption-7fcac110eafc491e89f333ae4ba3fd04">
            <title id="title-175e7b0fbe434345ad7e37a3c34e8755"><bold id="strong-9a962539abc44403b7a1ce48325b47ee"/>Snow Cover Area in Himachal Pradesh (2015)</title>
          </caption>
          <graphic id="graphic-bbe5c4c72e7644c6b5af286035f0a237" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7b3f2455-4077-4c1a-a655-d8c21a89661eimage16.png"/>
        </fig>
        <p id="paragraph-b16f249e76df4928a226a27dce5bbb5f">In 2013 (<xref id="x-eca899cbc366" rid="f-f566f0b67400" ref-type="fig">Figure 11</xref>) the SCA has increased from January (30531.12 sq km) to February (37151.19 sq km) and in March (40246.57sq km) where it is maximum and starts decreasing in April (33178.93 sq km) May (29345.56 sq km), June (17650.95 sq km), July (10608.2 sq km) and August (6545.80 sq km) where it is minimum and again increases in September (7704.10 sq km) October (13149.99 sq km), November (20943.17 sq km) till December (21719.59 sq km) months.</p>
        <p id="paragraph-3c9a4d6f9080483eaa6542a011a58157">In 2014 (<xref id="x-e32fb73ea0c5" rid="f-f566f0b67400" ref-type="fig">Figure 11</xref>) the SCA has increased from January (34579.58 sq km) to February (39631.14 sq km) where it is maximum and decreases in March (24388.23 sq km) and increased slightly in April (37777.14 sq km) and decreases from May (28832.74 sq km), June (20944.03 sq km), July (13879.83 sq km) and August (10055.69 sq km) and in September (8156.81sq km) where it is minimum and starts increasing in October (13016.90 sq km) and November (19464.60 sq km) and decreased again in December (18312.96 sq km) months. </p>
        <p id="paragraph-0c736faaa92a455a902d2ee05ed3ae0e">And in 2015 (<xref id="x-e5d6a8aaa3a6" rid="figure-89051a64ddc5448b93c071354bb9b40e" ref-type="fig">Figure 12</xref>) the SCA has increased from January (35737.66 sq km) to February (40394.47 sq km) where it is maximum and starts melting in March (35353.21 sq km) and, April (30709.50 sq km) May (31227.04 sq km), June (23055.20 sq km), July (14663.33 sq km) and until August (8997.42 sq km) where it is minimum and again increases in September (10103.55 sq km) October (20041.82 sq km), November (27337.21sq km) till December month (27928.60 sq km).</p>
      </sec>
      <sec>
        <title id="t-59ba4cdf1eb3">Snow Cover Area Variation Analysis with Elevation</title>
        <p id="paragraph-669fc61d5958499ab1c46b9a53a181d0">In the present study the minimum and maximum elevation at which the snow cover area was observed during January 2005 to December 2015 is identified. As shown in (<xref id="x-91a78999f5d4" rid="f-23f7bf183020" ref-type="fig">Figure 13</xref>) in 2005 the minimum elevation (782m) at which SCA observed was in the month of January. Then from January the snow starts melting at lower elevation and can be observed at maximum elevations in September (3526m). Similarly in 2006 also the minimum elevation at which SCA recorded was in January (469m) and at maximum elevation it observed was at in September (3529m).</p>
        <table-wrap id="table-wrap-e3d55a20aee24395bda5e4f5eb023d84" orientation="portrait">
          <label>Table 6</label>
          <caption id="caption-4f00687b6c35423dbac265e3c18ac293">
            <title id="title-d200e46933b14888a0fc39ec006acf35">Lowest Elevation of Snow Cover reached in Himachal Pradesh (2005-2015)</title>
          </caption>
          <table id="table-2b8e5855798448afa814082f64a9437e" rules="rows">
            <colgroup>
              <col width="7.76"/>
              <col width="8.24"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="8"/>
              <col width="12"/>
            </colgroup>
            <tbody id="table-section-59690c9dd481450ab8bcbf9d94f0f563">
              <tr id="table-row-32c6db98daa041f2af699717917951e5">
                <td id="table-cell-05a56e6e641d42bd8a89383ba9f24e1c" colspan="12" align="left">
                  <p id="paragraph-4067f3161330422182d8ed2a5f0021d5"> <bold id="strong-ec524382ccb5443495b8cf89b8301233">Elevation in Metres</bold></p>
                </td>
              </tr>
              <tr id="table-row-6dc621c44fe34ac7856c26725c50d273">
                <td id="table-cell-12c22e7b2b7f453f805a75ad4b7c7687" align="left">
                  <p id="paragraph-d6c3d05d745941a8ab4f37b75523e340"> <bold id="strong-18a8e44aa2df4243882a7e84250d1f23">Years</bold></p>
                </td>
                <td id="table-cell-1c6c30662b774e5daf4920c56c16fdd7" rowspan="2" align="left">
                  <p id="paragraph-d46ff3b6a5b74c739554bac7b255dc18">  <bold id="strong-d7cc9505e8d0403aace993435efd027c">2005</bold></p>
                </td>
                <td id="table-cell-762927b92a1a40a281b15dcc7c25e422" rowspan="2" align="left">
                  <p id="paragraph-f87ab482fddd4cd4846c0f953ce4215f">  <bold id="strong-8d7ea065b5024f4cb3b454e14b345046">2006</bold></p>
                </td>
                <td id="table-cell-151b2caf1d6d4488ae2d2900434be13d" rowspan="2" align="left">
                  <p id="paragraph-533110d3f72f47689cc716677b98ab75">  <bold id="strong-113d28b285b2470297b2aa90f3b3d736">2007</bold></p>
                </td>
                <td id="table-cell-bcadd603aa8743e9966de9976fad1549" rowspan="2" align="left">
                  <p id="paragraph-a6f1d13b96944f44a2adeb45068d0101">  <bold id="strong-b95750a89c2a41a4824bc0a062331e82">2008</bold></p>
                </td>
                <td id="table-cell-3b9f7d03eb2344eda8daddf06d89ff11" rowspan="2" align="left">
                  <p id="paragraph-c09e7ff8ce514b72bb5cfa0249347df6">  <bold id="strong-80a9751ea22743ecb6add47ac88c374a">2009</bold></p>
                </td>
                <td id="table-cell-3dc14ff71e8043b1a7e4caced0bfb173" rowspan="2" align="left">
                  <p id="paragraph-b36fbff2c836458f945d14817fb19ffd">  <bold id="strong-41ac7ea37c494f73921ad3d8b8b10fc9">2010</bold></p>
                </td>
                <td id="table-cell-3802016bbcb646a1bf09b2ca249d2b96" rowspan="2" align="left">
                  <p id="paragraph-ee6fef2db0c843eca095454b0356b5dc">  <bold id="strong-c55612a678f7415da0d7c62b9d99198a">2011</bold></p>
                </td>
                <td id="table-cell-c3af185156934b30bb88392cfb8de3a9" rowspan="2" align="left">
                  <p id="paragraph-0e7b85f828cd4e67924fc15ecb5a4809">  <bold id="strong-a6108c821ed743858ba04879ccc9eec3">2012</bold></p>
                </td>
                <td id="table-cell-e56cfdcf8ce0428dbd713ed4fea23956" rowspan="2" align="left">
                  <p id="paragraph-d8136280bbfd4cd59c60b59a4ff294a8">  <bold id="strong-e5b8a1e3d5154122bfe58697098be963">2013</bold></p>
                </td>
                <td id="table-cell-d08d038cf34d4a34bb0806798e072678" rowspan="2" align="left">
                  <p id="paragraph-69377ad0e4d04b9b93655397cf7208f4">  <bold id="strong-b5514ecfc3d440abb47b5b05b6aae568">2014</bold></p>
                </td>
                <td id="table-cell-f848793524374bc5b55937b8fb6aeebe" rowspan="2" align="left">
                  <p id="paragraph-71830600acb54bcf9549c66df9876445">  <bold id="strong-86171f00bd29478da75f3a603c2b318e">2015</bold></p>
                </td>
              </tr>
              <tr id="table-row-d28685cbe3954835a01271f515921953">
                <td id="table-cell-c9ad5ab7e7494fb89640171a3ae58bf5" align="left">
                  <p id="paragraph-3c2df5cfe7e944d29b9b2d666cacdb46"> <bold id="strong-45ba318e265f4130920071d1b099f672">Months</bold></p>
                </td>
              </tr>
              <tr id="table-row-541e093f9ae34be5a66d310730c9bee6">
                <td id="table-cell-4e89d8b1ccb4490ea4a19141093ec943" align="left">
                  <p id="paragraph-3db910fbd56947d0b530e0f9118a8069"> <bold id="strong-bf4973c6860043128affb847b06b739b">Jan</bold></p>
                </td>
                <td id="table-cell-9a73637087144592b189ec8f4f0027f8" align="left">
                  <p id="paragraph-d63f448aed67489a92e9cf089347467e"> 782</p>
                </td>
                <td id="table-cell-59dc1dca65fc4130be6f8eb64fe3f7e5" align="left">
                  <p id="paragraph-e8247a44bd1f46539f873a4370883cfc"> 469</p>
                </td>
                <td id="table-cell-4dd473e169be4f8a92d0f762c260fdf5" align="left">
                  <p id="paragraph-321eba72e994443b89df78feb0214e20"> 1274</p>
                </td>
                <td id="table-cell-cc91d833e408419f98b6c573365f25be" align="left">
                  <p id="paragraph-978fd6669d1e417eb555b5257395bf05"> 483</p>
                </td>
                <td id="table-cell-c43986d6ee144af6adbf826c588afaba" align="left">
                  <p id="paragraph-dcea2bc44fd44ed0b40a6c29261a2280"> 593</p>
                </td>
                <td id="table-cell-0f0afb7b083c49e28c2567a58e5e10dc" align="left">
                  <p id="paragraph-1fe674c37ab6484d96cd6b1593449a8b"> 477</p>
                </td>
                <td id="table-cell-e8c2271ed09b44f289cfbdaf27b1f3b6" align="left">
                  <p id="paragraph-25b8546ca85b46b5bfa2de86441f662c"> 1498</p>
                </td>
                <td id="table-cell-ca29bb558bca479f95a25f83af58a81e" align="left">
                  <p id="paragraph-a59923fec68e49eca0e09d0cb0ff5f94"> 751</p>
                </td>
                <td id="table-cell-12ebbf1cbe874c25b80598e54991c5ff" align="left">
                  <p id="paragraph-f79ed6c161084f72b1674102f977709d"> 1274</p>
                </td>
                <td id="table-cell-bc081f9813d34b6180474ff1a8c4a129" align="left">
                  <p id="paragraph-9ecb44d6828a4a3bab88e965fe042882"> 752</p>
                </td>
                <td id="table-cell-1ac8fdaf95144a69a2df40ab280df5df" align="left">
                  <p id="paragraph-2f96d769fb76449b8f82047c8f053f00"> 1331</p>
                </td>
              </tr>
              <tr id="table-row-58be04ed233c4bc0b77fb6e9d3fa4189">
                <td id="table-cell-3407130b6b4c459aaf13d4251f2c3658" align="left">
                  <p id="paragraph-cc519a7c2f254d7d9eb251f692ac725d"> <bold id="strong-391b1424d8e74d7bb5ba78433edbc3e5">Feb</bold></p>
                </td>
                <td id="table-cell-a5e64b3e032143899806ec829e33c9f9" align="left">
                  <p id="paragraph-b729bf8f84a74c25b0255f8942ee06ba"> 1201</p>
                </td>
                <td id="table-cell-632d02bc75604794b091a4c223eb16c9" align="left">
                  <p id="paragraph-ffbd53e0fbb3456eb34258f568a3899a"> 1765</p>
                </td>
                <td id="table-cell-d06876769f7e4b36b3b5762438e63a1b" align="left">
                  <p id="paragraph-f10de1e26d554591997e85ce195a9a66"> 1192</p>
                </td>
                <td id="table-cell-d84430cfff9945a8b51c7ebbad54162c" align="left">
                  <p id="paragraph-ff1ac412840940abb12e7fdee8a3d4c6"> 771</p>
                </td>
                <td id="table-cell-dfd5b835aada41ab85fb1a0bbd5c9b92" align="left">
                  <p id="paragraph-a957e815110440ca91f7a48c34ca5315"> 822</p>
                </td>
                <td id="table-cell-4b08a1a95d9f4db38791f7d5cefdf83c" align="left">
                  <p id="paragraph-a6b48b33bbab4dbfabd7854405689d67"> 749</p>
                </td>
                <td id="table-cell-74aba669ab294704ae16604e1daa896f" align="left">
                  <p id="paragraph-b806a14b8adc472bb8c37d094e0fbf25"> 395</p>
                </td>
                <td id="table-cell-903abc9061bb4946bb2bacebea31febf" align="left">
                  <p id="paragraph-1899e848f232475788a67b7f8be73ef1"> 479</p>
                </td>
                <td id="table-cell-4e50d202516948b6af9eea7d21779cde" align="left">
                  <p id="paragraph-ae2c7ce0e9e741eb92e6465f7e24ceba"> 1459</p>
                </td>
                <td id="table-cell-c91895bae217410991d22ac4e69b7d17" align="left">
                  <p id="paragraph-531dbe8a81414566a494d99da7d46d63"> 1076</p>
                </td>
                <td id="table-cell-cb44432c67e54af38a40064d3c2c436f" align="left">
                  <p id="paragraph-cfbb40f2711742dd844696fd6e257eb2"> 1253</p>
                </td>
              </tr>
              <tr id="table-row-555de2fc06114430ba010e77d70f495b">
                <td id="table-cell-6e1bde99804e4197b6889467ab8245f6" align="left">
                  <p id="paragraph-ff6df2c0c8284bc2925a4eb630b60d62"> <bold id="strong-b4a3beb23c524aab82d95ed3ec401068">Mar</bold></p>
                </td>
                <td id="table-cell-2a2ed15cb3084d328993ac403539131e" align="left">
                  <p id="paragraph-62a03ae42c0b4b60977dd618d3264d2f"> 1826</p>
                </td>
                <td id="table-cell-b75d86e694744c339e6da65ed373f9ad" align="left">
                  <p id="paragraph-aa06675f9e0c47efbf39c2045ba0ba5a"> 1962</p>
                </td>
                <td id="table-cell-5a0a548df0a940aab86c8aea8e70a2a1" align="left">
                  <p id="paragraph-52606ecbffa244a3967871004b49140d"> 1839</p>
                </td>
                <td id="table-cell-8cbc973311f644e9a3004ff58b6fd1a8" align="left">
                  <p id="paragraph-4990b74013434b28897f96d870f1d144"> 2136</p>
                </td>
                <td id="table-cell-1693d109eace4355b14ec6823449d105" align="left">
                  <p id="paragraph-a80bd2908fad467b84ea1ed8e9083ec1"> 2138</p>
                </td>
                <td id="table-cell-378c5269d07e4fd4bfaaaced6c3f2566" align="left">
                  <p id="paragraph-20380e863b53449b9d17a50ee34793a8"> 1988</p>
                </td>
                <td id="table-cell-cea950d387864172854df7cb972b582a" align="left">
                  <p id="paragraph-9d8375ea9fac4704bf58d4eae8d1411f"> 1988</p>
                </td>
                <td id="table-cell-e020d0d3549349ffab3f7c7d076afd72" align="left">
                  <p id="paragraph-6d710cf24d8244a7b065a25875755b54"> 1830</p>
                </td>
                <td id="table-cell-7dc715d0917043d4be247f5131219868" align="left">
                  <p id="paragraph-66a9b134e048406fabb62db2d7c1e3d0"> 1837</p>
                </td>
                <td id="table-cell-34a22a564d714be9b6b3d7558e9498f9" align="left">
                  <p id="paragraph-716515d6a1034f4a961f487f0491162e"> 1988</p>
                </td>
                <td id="table-cell-3af41a241b3f41b3bb5dfae5519e7277" align="left">
                  <p id="paragraph-8dac4f5d598d41caa708e329b4287360"> 1593</p>
                </td>
              </tr>
              <tr id="table-row-1bcc5a312b5149529e28bf5910fb2737">
                <td id="table-cell-575039dbb4f44d9b8d1e5a894772939c" align="left">
                  <p id="paragraph-49bd5e81505543bdb21ef0e6d2c32f2d"> <bold id="strong-5b63d86d4d9e4287abce090cf5f4daea">Apr</bold></p>
                </td>
                <td id="table-cell-484eeb7b1837457b9a51ac5bd6e83ad0" align="left">
                  <p id="paragraph-f106e427159c478796aa05be7104fcb9"> 2136</p>
                </td>
                <td id="table-cell-5050f48a23a84160b5757c225b66d694" align="left">
                  <p id="paragraph-e499094f00b24b1588a339c626d62f74"> 2284</p>
                </td>
                <td id="table-cell-7f1bb40ef0f347df85b677f946d8cc8a" align="left">
                  <p id="paragraph-e922296c108e4756950cc5d5cd3109bb"> 2311</p>
                </td>
                <td id="table-cell-a4e3714ec4864180b71628afb4deae3e" align="left">
                  <p id="paragraph-60a4d946b88243a0a2d669e659e30abb"> 2226</p>
                </td>
                <td id="table-cell-d832c22f8b5b45adb1f0b3850ca4da20" align="left">
                  <p id="paragraph-f2d771c7946d4c0688ce69b150996bc8"> 2562</p>
                </td>
                <td id="table-cell-645d732816d0469b9faf90332fb8dcb4" align="left">
                  <p id="paragraph-18678e59ac76419db18b5ccdb88dea5e"> 2525</p>
                </td>
                <td id="table-cell-8b6eea98f53e496fb713985879fae7e9" align="left">
                  <p id="paragraph-09dc316d38144ff5b21673e867cc5e2d"> 2264</p>
                </td>
                <td id="table-cell-b26a638cff8944b59bfb2149c167bed6" align="left">
                  <p id="paragraph-f2a2bdc56ac742f6b2328b198c40be76"> 2159</p>
                </td>
                <td id="table-cell-91843d9bf94541fd831924e882bb2c84" align="left">
                  <p id="paragraph-b46591f5f4784e5fa5227560249616cc"> 2138</p>
                </td>
                <td id="table-cell-71f51706e3694a69a03db31fddf38fe1" align="left">
                  <p id="paragraph-5be9cedf25ba409d8288aed844897f29"> 1824</p>
                </td>
                <td id="table-cell-4bf66e7a6ac84f81b01295a4bacf7839" align="left">
                  <p id="paragraph-37ccb9b4bcac4f2a89e931e8a8b15814"> 2090</p>
                </td>
              </tr>
              <tr id="table-row-4f69c451be6947b7baa79f3036502965">
                <td id="table-cell-7f1e9b8edea545c585bfc64e8a6b4370" align="left">
                  <p id="paragraph-6dd3dc92c7e744a69f7f55434a90aebf"> <bold id="strong-adae427f3a584a059f3b228a57e87935">May</bold></p>
                </td>
                <td id="table-cell-6e7d38e39a53492d901163540fb9d4a6" align="left">
                  <p id="paragraph-d517fd3112454abbbd07fc16159734e2"> 2710</p>
                </td>
                <td id="table-cell-4d6d1c950ea64fdb8575af390e44d062" align="left">
                  <p id="paragraph-e60e7d02709a4a9d9b2543177fe2b494"> 2548</p>
                </td>
                <td id="table-cell-07b247edf7434378a661d0871de46639" align="left">
                  <p id="paragraph-37537c3faadb48cea3f651c1e58ff695"> 3015</p>
                </td>
                <td id="table-cell-6d84764e602c49a889a42eb077013239" align="left">
                  <p id="paragraph-4207511f20b44a50a19fde1adb198c2c"> 2570</p>
                </td>
                <td id="table-cell-e6245de5accb40f78b46683d5807095e" align="left">
                  <p id="paragraph-7bd19f866ae7438eb3c29626845e6428"> 2720</p>
                </td>
                <td id="table-cell-97cfcaec1933461dba95110e7cbd9307" align="left">
                  <p id="paragraph-66826d832757492e958651a4ee65c3e1"> 2924</p>
                </td>
                <td id="table-cell-1e5ae25d5d7d4df18ab4899fda2e8e1c" align="left">
                  <p id="paragraph-e2e54bd80a6b4b5da7a9928e05de1f78"> 2423</p>
                </td>
                <td id="table-cell-70e47aa5c6a440fa9c9c12f0a37dec16" align="left">
                  <p id="paragraph-07efe811610c476e89a152109e2acfee"> 2229</p>
                </td>
                <td id="table-cell-ddbc948c59dc45bdb5d73bfb4fdd4a75" align="left">
                  <p id="paragraph-d64e06e2b0ef4a869054fcb3e6bec3e7"> 2779</p>
                </td>
                <td id="table-cell-d6db531f46ff4b5e8f6dd88392cebe6c" align="left">
                  <p id="paragraph-17d01b54530f41d1b3109ba9ef2dac61"> 2229</p>
                </td>
                <td id="table-cell-b33394bf80ac4cd6adddeef2f214d1f0" align="left">
                  <p id="paragraph-61ea195336fd4dd4ace1133d566c0aa6"> 2562</p>
                </td>
              </tr>
              <tr id="table-row-d22dd506d6a34592a0b17ba0bf6e10f3">
                <td id="table-cell-35905628096c43ff8c558e8b5ecaa661" align="left">
                  <p id="paragraph-2129efc5cef143cd8d270a40ae4e4e8d"> <bold id="strong-6f7001391afc4e89b2adeff73cfd5066">Jun</bold></p>
                </td>
                <td id="table-cell-8695a9805d3b4c07a619ff8a855f19c9" align="left">
                  <p id="paragraph-1a0eebac757a4c43857a1da50bd0f6a2"> 2813</p>
                </td>
                <td id="table-cell-dbc2e8fdaa6e47f593b8de4319893196" align="left">
                  <p id="paragraph-98176262f4164acdb656af56ecd79cf6"> 3281</p>
                </td>
                <td id="table-cell-00f6dfc91857450bb736f4dcc31e6fba" align="left">
                  <p id="paragraph-80f3bcdec5bd405eaff5961756a05c0c"> 1695</p>
                </td>
                <td id="table-cell-467ed7d41ccb4c32998365a8756892d9" align="left">
                  <p id="paragraph-0c622bfe79b648b2a0c687e76de6fabf"> 2197</p>
                </td>
                <td id="table-cell-5a17046ae5954daaa1cd6e330351cb94" align="left">
                  <p id="paragraph-017544f8cfa849479eb3269d60e932b2"> 3161</p>
                </td>
                <td id="table-cell-24dc1588aad841adb073da2b4bf81c2d" align="left">
                  <p id="paragraph-83a43db0bde74156b23141d585f66be9"> 2916</p>
                </td>
                <td id="table-cell-6062e226e8f949f6bc84d2b47ec14f59" align="left">
                  <p id="paragraph-a2601f631a6b43b980b3619b2585fa4e"> 1895</p>
                </td>
                <td id="table-cell-a445abbaa79c4d5dba2c1eb4d4b6bb90" align="left">
                  <p id="paragraph-6b5e1784cba54debb7af396d80b1779e"> 2632</p>
                </td>
                <td id="table-cell-c16a24f7c1d04cdcac30dd024e0591e5" align="left">
                  <p id="paragraph-6520b18edb034a6283072c3601aa8189"> 1898</p>
                </td>
                <td id="table-cell-c34cb65ca1cb4def9510c16c930e0446" align="left">
                  <p id="paragraph-9b92789e17ee4484a923ec5bbe4661c9"> 2860</p>
                </td>
                <td id="table-cell-335d6ec4bc8c46dfaabf65197916a369" align="left">
                  <p id="paragraph-abf437a7a54e45d9a4285c45bb65be2c"> 3063</p>
                </td>
              </tr>
              <tr id="table-row-93624cfa9f8241aa8f8fd2a6869e01dc">
                <td id="table-cell-b0188159e1594fd8bf8638c06b6bbaaf" align="left">
                  <p id="paragraph-85d961205219439abc77ec34be0415a2"> <bold id="strong-92b156abaf4c43f2a3cfb1eae40dd8b9">July</bold></p>
                </td>
                <td id="table-cell-a30d2e533f1643ed9ff0ca9ac65c4c56" align="left">
                  <p id="paragraph-f5124868211b4c92a056fddc457c2fda"> 1519</p>
                </td>
                <td id="table-cell-d17b3864f0134c98a6aefb716c4d4e57" align="left">
                  <p id="paragraph-1e527ccfcbfb4061a0f435cd875a987b"> 2560</p>
                </td>
                <td id="table-cell-91d0c91b03aa48b3b001b0c3b8c7bb98" align="left">
                  <p id="paragraph-088c6d97e58e457a85089c97f809092e"> 2484</p>
                </td>
                <td id="table-cell-63dba70636764fb98d1a6602ed421e44" align="left">
                  <p id="paragraph-c6494957b05c4b859396991b558eeb6d"> 1686</p>
                </td>
                <td id="table-cell-ea7a5cb18ef94b99bd4aa1f39ed37b49" align="left">
                  <p id="paragraph-ca4e4277b2c840e799b0b6ab507e87d3"> 1439</p>
                </td>
                <td id="table-cell-a4dcd57cfd374e6e84219cce73d91101" align="left">
                  <p id="paragraph-37ee96df397441798241457595c87800"> 2173</p>
                </td>
                <td id="table-cell-ad6f3d2829934fc6ad82697ea5c55b82" align="left">
                  <p id="paragraph-ec1a7a5eb8164e919ab375c19bdafe82"> 1363</p>
                </td>
                <td id="table-cell-af0f9a603b1d4ee690f240a41fbfbcaa" align="left">
                  <p id="paragraph-ebe089fe98c645f4a4740ac88e343b21"> 1498</p>
                </td>
                <td id="table-cell-50a1723a184f4294be446b3654571f62" align="left">
                  <p id="paragraph-1bc822386778466f8a87e5f8c6f23b1a"> 1818</p>
                </td>
                <td id="table-cell-1ba84a5473a94c4088de24bf94e36a07" align="left">
                  <p id="paragraph-94f72a7c7dda426c814588a235fcd4f8"> 1327</p>
                </td>
                <td id="table-cell-290e037dd49a464a9828a1df3c30494a" align="left">
                  <p id="paragraph-a5100417cc8d4e228b80443608e72d27"> 1943</p>
                </td>
              </tr>
              <tr id="table-row-523c695e51574b7ebc80c605ef4fbce2">
                <td id="table-cell-de268ceb310248fba8f4129f0c1e4107" align="left">
                  <p id="paragraph-6684e78ba0804e4c870bdfbbfce90229"> <bold id="strong-35ba7b3e3a21462886dd9893905a9ba8">Aug</bold></p>
                </td>
                <td id="table-cell-f407636315a14133beb7afcbb40143ae" align="left">
                  <p id="paragraph-4b2ac9fdebcd4bd2932e3ad62bb96bb9"> 1181</p>
                </td>
                <td id="table-cell-8daa7649d52647d78bb43da03803976a" align="left">
                  <p id="paragraph-bd38cdcdcccb42df840437e852e2b84e"> 1748</p>
                </td>
                <td id="table-cell-518a7fd913b0415bb1878bd24362a2a6" align="left">
                  <p id="paragraph-15b5d9494cef45459717c89b862d46aa"> 1251</p>
                </td>
                <td id="table-cell-f7a0676d0b9143049ca0a19ca609ee85" align="left">
                  <p id="paragraph-061c21714e684c15a5097ef53d799787"> 1220</p>
                </td>
                <td id="table-cell-9d0928f1564346a889043c4dbc234607" align="left">
                  <p id="paragraph-923a608ecc654fb5beac4152f0d9b3e9"> 1361</p>
                </td>
                <td id="table-cell-e295053cde1c4d49a344d14ee0837cbd" align="left">
                  <p id="paragraph-54c23724954644b68c1df3716e4bbf64"> 1619</p>
                </td>
                <td id="table-cell-da5098fadbfe456b9f8f4a7a03facf85" align="left">
                  <p id="paragraph-7ca09bce137742228adacddcae74e1cc"> 1461</p>
                </td>
                <td id="table-cell-69c5b01300684824bb72416d3abaf76e" align="left">
                  <p id="paragraph-7e62516905fc413d85ad134bea51ea50"> 1424</p>
                </td>
                <td id="table-cell-1e02fb2f943144d68f486144d8358554" align="left">
                  <p id="paragraph-325545e0d08c4519b902d7fb36b1cb03"> 1614</p>
                </td>
                <td id="table-cell-8fca454d711944c9b0e70408378773d2" align="left">
                  <p id="paragraph-8370b9a3c8b14178b57755006fa4f415"> 1287</p>
                </td>
                <td id="table-cell-0af489b0af5d4a7e85a78f23d152b07c" align="left">
                  <p id="paragraph-5bf9a902718c41709645d02c0b824dd1"> 1170</p>
                </td>
              </tr>
              <tr id="table-row-89d595c2caf342c4b0a0ed20a841cd7a">
                <td id="table-cell-df3e1f8f824f44dbb6708d4f5ab1022e" align="left">
                  <p id="paragraph-e79d379fa6ed4f3484e512674198b207"> <bold id="strong-f88e637d7e404d908fcc85b627804728">Sept</bold></p>
                </td>
                <td id="table-cell-901f304593b2456b884eb80ce11600d4" align="left">
                  <p id="paragraph-3f0802fd3561478b93505fad3c415911"> 3526</p>
                </td>
                <td id="table-cell-a1f917e92a4445ce911dfb508e853565" align="left">
                  <p id="paragraph-ea0a2cb06e3b426b997a57702763ef21"> 3529</p>
                </td>
                <td id="table-cell-b2938d5c7b18435d9851f1925e862acb" align="left">
                  <p id="paragraph-383481a551a946da839e50d9a0b1e61e"> 3156</p>
                </td>
                <td id="table-cell-c2dacd80963b48f7982a07e74cf87cc0" align="left">
                  <p id="paragraph-01960c7e16314d4587c13e9592a2de02"> 1484</p>
                </td>
                <td id="table-cell-59cf06da9a034d968fb359d3cac17a2b" align="left">
                  <p id="paragraph-33383f511a7b48c0928f2ac3f03a2e1a"> 2413</p>
                </td>
                <td id="table-cell-186a3ddf42f24b009bc4e893b08b4420" align="left">
                  <p id="paragraph-b1a58857a8db4070a0cf381a1cb73685"> 3070</p>
                </td>
                <td id="table-cell-cbbce419bc884f1b86463b080e122108" align="left">
                  <p id="paragraph-c253d0edba3e4b328043ce16aad5e20b"> 1376</p>
                </td>
                <td id="table-cell-e2fda9db702c44268b4a7804246dd1b6" align="left">
                  <p id="paragraph-0719de94cf3c4abbaa6fd4f05ddc1363"> 1480</p>
                </td>
                <td id="table-cell-14d67bbab8034afebd9491aa1d798814" align="left">
                  <p id="paragraph-940d0fb9045e44dfab119d446aac7982"> 1859</p>
                </td>
                <td id="table-cell-287936373c4c4ff3b59f427efe6721ed" align="left">
                  <p id="paragraph-e357fbdce55141dba0f7cbcfd910bd0b"> 1640</p>
                </td>
                <td id="table-cell-ab9660a9d07343f0a97230533c1b0b87" align="left">
                  <p id="paragraph-47c73b1b5bad408190de7a68cdc7bbbf"> 3060</p>
                </td>
              </tr>
              <tr id="table-row-2b42c38448ec45ef823c1bb6d155161d">
                <td id="table-cell-f73270baa9994ab18357c3acf148abca" align="left">
                  <p id="paragraph-03b2e3d800ef47ea852ef8244d92ae8c"> <bold id="strong-f6c6578113a9451fb18fa23a740a2bfe">Oct</bold></p>
                </td>
                <td id="table-cell-6fba96c7ba9c400796aead4d623a6918" align="left">
                  <p id="paragraph-dc12f2f99d3d4c4aa2fdb8f0c79ff0d8"> 2897</p>
                </td>
                <td id="table-cell-bb1fdf1faa114b658273b6d51a635a3d" align="left">
                  <p id="paragraph-dcb802b390fd4ccebf6693266553127a"> 3120</p>
                </td>
                <td id="table-cell-a9907243510d4e79959c50368843def2" align="left">
                  <p id="paragraph-a284ff0d781843bbbe4f154b5256350f"> 3030</p>
                </td>
                <td id="table-cell-a2b97a8cd00a44558578995d94ea51e4" align="left">
                  <p id="paragraph-4bf0024721914d6d89c0426ad11f2cf6"> 3030</p>
                </td>
                <td id="table-cell-5ef56c17339f4859a29d228e72bf5ce1" align="left">
                  <p id="paragraph-2350ddf0ce914dbea4909afa448a6ec2"> 3108</p>
                </td>
                <td id="table-cell-fd4819d62a0f40b59f010e6523ce13d1" align="left">
                  <p id="paragraph-d4658ec3c969417d87dadf062682d94e"> 2797</p>
                </td>
                <td id="table-cell-b7f1405edf3c4551bcabe72e68bdc161" align="left">
                  <p id="paragraph-7969b35f081d4c5388ca72f15b7ea76e"> 3495</p>
                </td>
                <td id="table-cell-f10c8cc540554bd594ec013d8f406496" align="left">
                  <p id="paragraph-f0fa4b12e43f45d5a2f8911d56c9b2fb"> 3283</p>
                </td>
                <td id="table-cell-a0169ec5956d4f84bc3abfdf3abc5f44" align="left">
                  <p id="paragraph-4f6fbfeb39c84281bfb1d6b8297b2448"> 1216</p>
                </td>
                <td id="table-cell-63534b45bb3647e1bd3b49b7903f8427" align="left">
                  <p id="paragraph-63f4f754066e46c1ad2271e7a53fb94c"> 956</p>
                </td>
                <td id="table-cell-3b68f6e47ef540e8863da16d7ad5a90e" align="left">
                  <p id="paragraph-ea7ffb36c53c429fb6461ff1a9a531d4"> 2644</p>
                </td>
              </tr>
              <tr id="table-row-32c4d6ae126d4c9593c0069f5e101a14">
                <td id="table-cell-876f6219fa5f43b38d53a5679870814d" align="left">
                  <p id="paragraph-ffa371c54f5a433781320cbbc0ca56a6"> <bold id="strong-ca9d7da7e40d4f8cbafb72118a7031b8">Nov</bold></p>
                </td>
                <td id="table-cell-4bacbdfce69c440c9381a905b9bb6fe5" align="left">
                  <p id="paragraph-9ee1b4ee5eda42b892e90ab637523dfb"> 3018</p>
                </td>
                <td id="table-cell-3fd867aae73e403d8843caed18e2b264" align="left">
                  <p id="paragraph-b8d14aea5d304b4fb59f4e10f1e5d736"> 2086</p>
                </td>
                <td id="table-cell-28a55ab1669b4317b0d906b4b2773a7c" align="left">
                  <p id="paragraph-e4806a6da820409e852329576668f6f5"> 853</p>
                </td>
                <td id="table-cell-3005d38b4e574616883cd4218413e54e" align="left">
                  <p id="paragraph-863aa340119a47ed8e44e91f6736e7e5"> 2655</p>
                </td>
                <td id="table-cell-af9096dc7d354517bd43de4981336aff" align="left">
                  <p id="paragraph-a0e1af46ab694101b6edf91b451fba55"> 1487</p>
                </td>
                <td id="table-cell-02d1451cca5b47b681137ac5c34c6285" align="left">
                  <p id="paragraph-7537d61643f7421a8243cf53f405c0a2"> 2540</p>
                </td>
                <td id="table-cell-b54c408b418745db97cc61aa6e030eb5" align="left">
                  <p id="paragraph-cfe61c3f44d84dbb92690aee0e0fac1a"> 2472</p>
                </td>
                <td id="table-cell-a88c81206a7d4ba580e51f8ed64130aa" align="left">
                  <p id="paragraph-d39a57c4ff3040568e85b9ee2f3b99b9"> 2993</p>
                </td>
                <td id="table-cell-2fbf001b809c43918c17a39e4c489684" align="left">
                  <p id="paragraph-e3e712f96af7402e839e35caa72073ec"> 2534</p>
                </td>
                <td id="table-cell-af38e6c247d840d8962dede26979590a" align="left">
                  <p id="paragraph-25bec9234e08417bbbaa3e4a384975d2"> 2722</p>
                </td>
                <td id="table-cell-b930281b0c24488799fa6a948255d223" align="left">
                  <p id="paragraph-dd168f3f120748159900564bf143a106"> 2278</p>
                </td>
              </tr>
              <tr id="table-row-7641195c880c4d7ca38583687751fefa">
                <td id="table-cell-7d660aabc5e64162a2da00c90afcf31b" align="left">
                  <p id="paragraph-1d5e58a0913c408d9097710ae0a7ce3e"> <bold id="strong-29856efe2cd9451e96d56d4242c9714a">Dec</bold></p>
                </td>
                <td id="table-cell-fed16d69cdf241d3b8f7edd90703434e" align="left">
                  <p id="paragraph-5ca7e45ce9e54a9e961611ba255adee1"> 1224</p>
                </td>
                <td id="table-cell-95bb5e47cb6b417abac32f92c12cfa4b" align="left">
                  <p id="paragraph-fae8c94530d440a195d968090cd16c5b"> 831</p>
                </td>
                <td id="table-cell-1fad33d647d749948da2fec2df714b9d" align="left">
                  <p id="paragraph-eee318b6109b4d2cbd2b0c3011bdc2d3"> 1408</p>
                </td>
                <td id="table-cell-1064d5243df24b5db56b0b2796c970cc" align="left">
                  <p id="paragraph-d29fcf1c3fbc4090bbe4d19556de0f7b"> 1781</p>
                </td>
                <td id="table-cell-a54e1a65bdab4bf3b4aeeb3bf0a55ccb" align="left">
                  <p id="paragraph-fd0f6b261d1f445aa182c7f006d676c8"> 1730</p>
                </td>
                <td id="table-cell-874d4c9c5a6e4fa09df74c830be0de02" align="left">
                  <p id="paragraph-04e9dc5270d14abc88a28818741ea2f7"> 1773</p>
                </td>
                <td id="table-cell-3c67859b819c4dccb7f9114638ecc437" align="left">
                  <p id="paragraph-704f033aa0394ae1a7ebfe5dbe1def3e"> 911</p>
                </td>
                <td id="table-cell-351693c7721d4397be8d1dcd8d7e22bc" align="left">
                  <p id="paragraph-978263378ccb44bebcf4993ed1557f92"> 2006</p>
                </td>
                <td id="table-cell-43bcf4947a9a4a25a6862f6f3045c647" align="left">
                  <p id="paragraph-fc6ec424d8104814a39a8a007abbdd61"> 1494</p>
                </td>
                <td id="table-cell-52d5f4ae22b5419cb59c24ccebf3ded1" align="left">
                  <p id="paragraph-a3b3cd667bd74d3b83c8446cd44aa18c"> 783</p>
                </td>
                <td id="table-cell-dd35821a43014cf397683175197d40fb" align="left">
                  <p id="paragraph-f806961f0e154cff8903f555d24c38f8"> 939</p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="p-fc28c96bc4d7"/>
        <fig id="f-23f7bf183020" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 13 </label>
          <caption id="c-f09a01038eaf">
            <title id="t-2b57cd547e70">LowestElevation Snow Cover extent has reached in Himachal Pradesh (2005 to 2015)</title>
          </caption>
          <graphic id="g-03fd950a1846" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/c30054f6-771c-4320-a6ee-c4790757a01f/image/ae5308f3-5aa7-49db-a12e-674b0ae2b6f2-uimage.png"/>
        </fig>
        <p id="p-041286a14d99"/>
        <p id="paragraph-73e130ff9f39465ba500c1beb7563e55">But in 2007 the minimum elevation (1192m) at which SCA was recorded was in the month of February unlike the previous years of 2005 and 2006 and maximum elevation (3156m) at which it observed was same like previous years in September. Again in 2008 following the same trend the minimum elevation (483m) at which SCA seen was in January and but the maximum elevation (3030m) SCA reached was in October month unlike previous years. In 2009 year little variation observed SCA at the minimum elevation (593m) in January and but it was seen at maximum elevation (3161m) in June. Similarly in 2010 the minimum elevation (477m) at which SCA has been recorded in the month of January and maximum elevation (3070m) in September. In 2011 minimum elevation (395m) SCA has reached was in February, which is the lowest elevation SCA reached in all eleven years time period. And the SCA observed at maximum elevation (3495m) in October. In 2012 also minimum elevation (479 m). SCA reached was in February and maximum elevation (3283m) October. But in 2013 the trend observed was a entirely different it reached minimum elevation (1216 m) in the month of October and maximum elevation (2779 m) in the month of May. For the year 2014 minimum elevation (752m) SCA reached in January and the snow melts and goes up to maximum upper elevation (2860m) areas in June. And in 2015 it reached minimum elevation (939m) in the month of December and maximum elevation (3060 m) in September.</p>
      </sec>
    </sec>
    <sec>
      <title id="title-f2d27c5a153d4bf1a1fbfea00db9b524">Conclusion</title>
      <p id="paragraph-93527ecd65ec4dcc89870e4603ff90b7">The general trend observed is the SCA is increasing from January to March and from March it starts decreasing till August and again from September to December it increases. The study reveals that the SCA was maximum in March and minimum in the month of August for most of the years, but in some the maximum SCA varied between January and March, and minimum between July and September. The Maximum SCA is recorded in 2013 in the month of March i.e. 40246.57 sq km in this whole eleven year time period from 2005 to 2015 and the minimum snow cover was also observed in the same year 2013 September which is estimated to be 6545.80 sq km.<bold id="strong-ed1ef29da069414ba0ce2d8205bbd7a5"> </bold>And the general trend observed for SCA with elevation is, it is in lower elevations mostly in the month of January and the snow starts melting and vanishing from the lower elevations till June and August. And later the snow starts accumulating and again slowly comes down to lower areas till the month of December. The snow cover has reached a minimum elevation of 395 m in the 2011 in the month of February, which was the minimum elevation it has reached in the overall eleven years time period. It can be concluded that the areas above this elevation are always covered with snow.</p>
      <p id="paragraph-235296bd71b94d448a39213000047c28">The results derived from the spatial temporal analysis of SCA in Himachal Pradesh, can be used in several research and developmental activities in the region. This information may be useful as inputs along with other data of Himachal Pradesh like temperature, Precipitation and can be used for climate change analysis, water management, and hydropower generation and in planning of many other developmental activities in Himachal Pradesh. </p>
    </sec>
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