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  <front>
    <journal-meta id="journal-meta-19ac604fd6044529ac86d9694012e903">
      <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/geoeye_cm_ts9ypx7s/</journal-id>
      <journal-title-group>
        <journal-title>Geo-Eye</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">XXXX-XXXX</issn>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta id="article-meta-604ff1e282ff4068b65f9dd412412503">
      <article-id pub-id-type="doi">10.53989/bu.ge.v9i2.2</article-id>
      <article-categories>
        <subj-group>
          <subject>Research article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title id="article-title-771725363a8443cf90e42265c4750d4a">
          <bold id="strong-b901dc5d8dad456ba2554dc8dc8338cd">URBAN FLOOD- A CASE STUDY OF GUWAHATI CITY, KAMRUP (METROPOLITAN), ASSAM</bold>
        </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-44af712f7039">
            <surname>Das</surname>
            <given-names>Rima Rani</given-names>
          </name>
          <xref id="x-0ac3b3203717" rid="a-24c237f95d92" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-db444449b2d7">
            <surname>Kanwal</surname>
            <given-names>Anjana</given-names>
          </name>
          <xref id="x-1ae66d2e9002" rid="a-8e0c3a626800" ref-type="aff">2</xref>
        </contrib>
        <aff id="a-24c237f95d92">
          <institution>Student, Department of Geography &amp; Geoinformatics, Bangalore University</institution>
          <addr-line>Bengaluru, Karnataka</addr-line>
          <country country="IN">India</country>
        </aff>
        <aff id="a-8e0c3a626800">
          <institution>Guest Faculty, Department of Geography &amp; Geoinformatics, Bangalore University</institution>
          <addr-line>Bengaluru, Karnataka</addr-line>
          <country country="IN">India</country>
        </aff>
      </contrib-group>
      <volume>9</volume>
      <issue>2</issue>
      <firstpage>6</firstpage>
      <permissions>
        <copyright-year>2020</copyright-year>
      </permissions>
      <abstract id="abstract-abstract-title-f88026766baa4c4c9a1639c9a683f653">
        <title id="abstract-title-f88026766baa4c4c9a1639c9a683f653">Abstract</title>
        <p id="paragraph-1224975b04ae42d3845c5042f396e530">In the present study, the researcher aims to study the factors responsible for flood inundation and water-logging in the city and to identify the flood-prone areas and mapping and the Social and administrative measures to reduce the impact of the flood. A set of secondary data had been collected through various sources for the study in the selected area. Various GIS software has been used in preparing the Guwahati satellite image. First of all, we downloaded the satellite imagery of Guwahati from 1st January 2018 to 1st January 2019 using the USGS Earth Explorer, using data set as Landsat Collection1, followed by Landsat Collection 1 Level 1 using Landsat 8 Satellite with OLI/TIRS C1 Level1 Sensors having 30 metres resolution. From the study it has been found that the major factors responsible for the flood are Water Logging: Heavy rainfall triggered water logging in several parts of the city. Areas such as Zoo Road, Chandmari, Ambari, Ulubari, Hatigaon, Dispur, Gandhi Mandap, Kalapahar, and Christian Basti came along with visuals of waterlogged areas. Rapid Urbanization: Unplanned urban growth of the city. Increasing of Urbanization in the city from 80.23% in 2001 to 82.9% in 2011 according to the percentage of the urban population in 2011 census. Change in Land Use Land Cover: Natural and semi-natural vegetated areas and artificial and natural water bodies decreased while the built-up area increased, cultivated and managed areas, natural and semi-natural non-vegetated areas increased.</p>
      </abstract>
      <kwd-group id="kwd-group-4e69875fec8e49bea53c5c666c32e5ba">
        <title>Keywords</title>
        <kwd>Urban flood</kwd>
        <kwd>Inundation</kwd>
        <kwd>Water-logging</kwd>
        <kwd>Vegetation</kwd>
        <kwd>GIS</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement>None</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="title-36380b1009eb43c7b7e8399a61c4b7b5">Introduction</title>
      <p id="paragraph-b7ae8348a60c44e3a39a9036de27854b">Floods are the unfailing feature of the State. Almost every year the State experiences floods. Added with a flood, the problem of erosion assumes serious proportions. Insurance against floods requires local action as well as national coordination. It is realized that floods and their negative consequences can only be managed, they cannot be controlled of natural resources and agricultural state. Above 80% of people depends on agriculture but for more than 60 years Assam has been facing huge river erosion problems, which is closely related to flood problem. Erosion along with flood has destroyed lots of agricultural production and other fruits and house land of the people. </p>
    </sec>
    <sec>
      <title id="title-690c53f7dfa648688d9080e27b447ed8">Objectives </title>
      <list list-type="bullet">
        <list-item id="li-bad53cdbb004">
          <p>To examine the factors responsible for flood inundation and water-logging in the city</p>
        </list-item>
        <list-item id="li-114f7e0d6fe3">
          <p>To identify the flood-prone areas and mapping</p>
        </list-item>
        <list-item id="li-a4cfa1647604">
          <p>Social and administrative measures to reduce the impact of flood</p>
        </list-item>
      </list>
    </sec>
    <sec>
      <title id="title-3ec23ffa2255490cbdb74f76cb89188a">Methodology</title>
      <p id="paragraph-3132a675ad9b462f8803b465593c0ede">The methodology involved field-based observations and the final integration of collected data in a GIS environment. A set of secondary data had been collected through various sources for the study in the selected area. The secondary sources were integrated using GIS techniques. While integrating the data in GIS environment registration of all the collected maps from different sources.</p>
      <p id="paragraph-faa87be06e0e4cd89368e7bcab2c9730">Various GIS software has been used in preparing the Guwahati satellite image. First of all, we downloaded the satellite imagery of Guwahati from 1<sup id="superscript-c624b2269c96491db6f10f50f43b38b7">st</sup> January 2018 to 1<sup id="superscript-1ed14dda975d4caf88c7dbe33d014dda">st</sup> January 2019 using the USGS Earth Explorer, using data set as Landsat Collection1, followed by Landsat Collection 1 Level 1 using Landsat 8 Satellite with OLI/TIRS C1 Level1 Sensors having 30 metres resolution</p>
      <p id="paragraph-a8a049d72fdc492e962235d07b7dca60">Use of various GIS platforms in downloading the maps and creating map layout was used. Such as the use of DIVA-GIS for downloading administrative boundary maps, use of GEOFABRIKS software to download the natural as well as cultural feature map of INDIA.</p>
      <p id="paragraph-9cff62a238754e51ad173a1e4ad99dbc">With the help of Erdas 2015, the satellite imagery was layer stacked and the AOI layer for the the study area was created using the clipping method.</p>
      <p id="paragraph-244dd962bc2846ec92048a41647d2911">Immediately after every downpour the city drains get silted up with silts coming with storm water running down the hills flooding the streets. The wetlands also cannot accumulate the excess storm water of the city. The seasonal floods in the State are largely a consequence of the concentration of heavy rainfall within a period of a few days/weeks during the monsoon months and low flows. </p>
      <sec>
        <title id="title-b81c94e2a5644f38b7db3f7f229f8035">Study Area</title>
        <p id="paragraph-eba20c903aae44a693779ab8845c001e">Guwahati, the area where the study has been conducted is located in the state of Assam in southern bank of the river Brahmaputra. The city lies within 26°5' N to 26°12' N latitudes and 91°34' E to 91°51'E longitudes (Fig 1). According to the 2001 census, the total population within the GMC area is 8, 09,895 with a population density of 3750 persons/sq km. It is subdivided into 60 wards.</p>
        <p id="paragraph-6a1bb059cec14273b043751de28c51f9">Guwahati lies between the banks of the Brahmaputra River and the foothills of the Shillong plateau, with LGBI International Airport to the west and the town of Narengi to the east. Guwahati Metropolitan Development Authority (GMDA) is the planning and development body of the greater Guwahati Metropolitan Area. Guwahati is the largest city in Northeast India.</p>
        <fig id="figure-d409a490f7054788b09b7b384b44d004" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 1 </label>
          <caption id="caption-351aa0a4b9db4cc3aa176740a70daa10">
            <title id="title-d2a5e5039ee7437b80a6858589abcb7b">Location Map of Guwahati</title>
          </caption>
          <graphic id="graphic-fc593f104f904e90954605a0a650d08f" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/ef47e1ad-52fe-4684-9e5a-498c92bfdc01image1.png"/>
        </fig>
      </sec>
    </sec>
    <sec>
      <title id="t-33e2e4adfc84">Delimination </title>
      <list list-type="bullet">
        <list-item id="li-c8ac78a62934">
          <p>The study is limited only to the geographic area of the state of Assam.</p>
        </list-item>
        <list-item id="li-326b56f9a6d0">
          <p>This study is limited to the urban flood of Guwahati.</p>
        </list-item>
        <list-item id="li-caadde1c379c">
          <p>The study is done only for the dissertation purpose and the findings may not be transferable to other situations or cases.</p>
        </list-item>
      </list>
    </sec>
    <sec>
      <title id="t-61190c92788e">Review of Literature</title>
      <p id="paragraph-0aa2acbab63a4a39bd96ec9d85b4332f">Keeping in view the specific necessity for the State of Assam, the inter-State water disputes, the State Water Policy has a specific importance. The Policy envisages a long-term water resource management program designed to develop a critical mass of indigenous productivity with the requisite technical, economic and sociocultural means for sustainable development and has tried to highlight the flood problems of Assam and also the Cause and Remedies of flood hazard. The geographical distribution of different rivers in different parts of the state along with its tributaries is discussed here. The flowing and catchment area of the rivers along with the source and end of the rivers are mentioned in this article. The main key points are The State of Assam comprised of two valleys namely the Brahmaputra and Barak Valley. </p>
      <p id="paragraph-ad6bf12645414231ba21deb1674616cf">With the help of QGIS software, AOI parts were highlighted and clipped using geoprocessing tools, and the location map of the study area was created.</p>
    </sec>
    <sec>
      <title id="t-063cb7bf7f98">Data Collection and Observation</title>
      <p id="t-4fee03ffec7d">Identified Flood Prone Roads and Settlement Areas the major roads and areas severely affected f flood inundation problem were identified based on field observation and can be listed as follows:</p>
      <table-wrap id="table-wrap-b8f3c5f7ca834e4f9051849056ac4e03" orientation="portrait">
        <label>Table 1</label>
        <caption id="caption-888769214ab4467d9a38968eaab61f90">
          <title id="title-596cfce2f19145ceb423d420b5b07d97">
            <bold id="s-52506b25978c">GMDA 2015</bold>
          </title>
        </caption>
        <table id="table-329d708d4b0148828bb238b8d084284b" rules="rows">
          <colgroup/>
          <tbody id="table-section-3e590191c96c47a89988ff8bf567e3b9">
            <tr id="table-row-b670bcdd896d412884e62f265d38cefc">
              <td id="table-cell-47664a8d5a6c4db1b15799fe7703d3c6" align="left">
                <p id="paragraph-3de73460970145aca343ff686cc17ccc"><bold id="strong-2b68a3e86b5a4b8a9840221b4f7976f2">Sl.</bold> <bold id="strong-f608644bc5c047379fed101bca70919a">No</bold></p>
              </td>
              <td id="table-cell-b8df96d05e4048bea26a984f3408931a" align="left">
                <p id="paragraph-079f59eda9f44f3fb15e963fe11a67f4"> <bold id="strong-1070f83978aa4fce8323e6d5c8e0140c">Flood prone areas</bold></p>
              </td>
              <td id="table-cell-6ed1c694de2e474391306ef786ce32f8" align="left">
                <p id="paragraph-2cc30b59d2f542ac99875fd797aad81d"><bold id="strong-2994ac8d437d4bab9f9d919ab47e58d1">Sl.</bold> <bold id="strong-6bb0e2d842d8455a9d68b4e6e3c2d7f3">No</bold></p>
              </td>
              <td id="table-cell-d505e641d4c649ab8a897f530324bacf" align="left">
                <p id="paragraph-8fca3bb40dd44b91861998528a0ead94"> <bold id="strong-14565d3983bc49d9bc60fc9e801acfa8">Flood prone areas</bold></p>
              </td>
            </tr>
            <tr id="table-row-3498686bf23744f88399e2f4ad79ce77">
              <td id="table-cell-8b4fdab221d54d5e914b33b730e149ef" align="left">
                <p id="paragraph-df7ffac68b4c4b2988f8f0c806424360"> 1</p>
              </td>
              <td id="table-cell-c0d65cf5996b48e58759428b85b0a149" align="left">
                <p id="paragraph-4877eb92a7184ad8a31434316b5b5424"> Geetanagar / Hatigaon Chariali up to Narengi</p>
              </td>
              <td id="table-cell-0eaf564ce8f740d68f795f21a186169f" align="left">
                <p id="paragraph-79af8779f3a642b2bdb675b38ba2bb90"> 11</p>
              </td>
              <td id="table-cell-a499f8293a1e48d6a6bef90ea3c69414" align="left">
                <p id="paragraph-f8271c4a95ea4dc391c00bf3d4819676"> Rukminigaon , Mathura Nagar and some low-lying area in Beltola</p>
              </td>
            </tr>
            <tr id="table-row-551aff78b02446d3adb6160192cea0ec">
              <td id="table-cell-4002033dcdd94bedb06ca7fd420a544f" align="left">
                <p id="paragraph-addf693f3acf46c6b82b8298b5398305"> 2</p>
              </td>
              <td id="table-cell-53e3c3f805ab41f98b8c7c6c2186b3c4" align="left">
                <p id="paragraph-31dfc5d9116b4b6f88cc8447218ce3b8"> G.N.B Road from Guwahati Club to Noonmati (Except New Guwahati Area )</p>
              </td>
              <td id="table-cell-34a8d3cf5ad144c2baa2b8c0f68257bb" align="left">
                <p id="paragraph-dbee8134e81742eb819c602304f4e58f"> 12</p>
              </td>
              <td id="table-cell-9cad0b8b5b464478923495c615243b13" align="left">
                <p id="paragraph-0b76f9ecea084ee19a496c3d608ca089"> Some areas on the A.T Road</p>
              </td>
            </tr>
            <tr id="table-row-204eacdc433741bfbd8f030577917659">
              <td id="table-cell-511b65fe32d841ec8e782b681aea7401" align="left">
                <p id="paragraph-7f6c8132e1de4ef7aa662a997b155070"> 3</p>
              </td>
              <td id="table-cell-14b24b0df87948bba520bd9e9187d351" align="left">
                <p id="paragraph-4cd9ca15b33d4ef0b76d4a12195058dc"> R.G Baruah Road</p>
              </td>
              <td id="table-cell-444de1538ecf4f3db4eced0d745e365e" align="left">
                <p id="paragraph-7a4a93801d384865b4cb2578f5b2f385"> 13</p>
              </td>
              <td id="table-cell-b0020965fb23420294052990d7c92ae3" align="left">
                <p id="paragraph-7ad7c1defd6345d88ed623540d59d3f5"> Santipur – Bharalumukh area</p>
              </td>
            </tr>
            <tr id="table-row-94850e71bea842309e57fd41856ad2ed">
              <td id="table-cell-24a3addd9dba4650a6c9f0ed9d16bd7e" align="left">
                <p id="paragraph-a947388e1362420cab5c53cb5eebf0c6"> 4</p>
              </td>
              <td id="table-cell-38907f6c05c446e1839be75cca33ea3e" align="left">
                <p id="paragraph-bd3b6fa3110d4509bbfd6a1c60dcff58"> Maligaon / Durga sarobar</p>
              </td>
              <td id="table-cell-ff0d46d92bad461dbb8d3d66b0a974b8" align="left">
                <p id="paragraph-f335227989fd4ec9abb277a73d4ae604"> 14</p>
              </td>
              <td id="table-cell-7a7b44a62b1d42999b8fe812e0c3dcfb" align="left">
                <p id="paragraph-c2ae96e71157429cb80cfc1d2e5b2d32"> Fatasil Ambari</p>
              </td>
            </tr>
            <tr id="table-row-429c5879113149a086ef8025373a33e3">
              <td id="table-cell-c8bf0df50800463c85f86f21b744076f" align="left">
                <p id="paragraph-13d0489aab5d4e42baae29e93f9c3488"> 5</p>
              </td>
              <td id="table-cell-28398ed30f5a46ae9f928ca9325e87c5" align="left">
                <p id="paragraph-0ff9efa3f7334d5fb23e47cae7a68b1a"> Guwahati College approach road</p>
              </td>
              <td id="table-cell-4be7164392a043be864a27ce9862ad06" align="left">
                <p id="paragraph-5281c11c051246959f5a408bbe7e479a"> 15</p>
              </td>
              <td id="table-cell-ee6af57cdde5469dadd54b69172766fd" align="left">
                <p id="paragraph-61fd5d62008f43c9ae51dabfd709a94e"> B.Borooah Road</p>
              </td>
            </tr>
            <tr id="table-row-0486bfcab87244538a1e2df1534a91da">
              <td id="table-cell-873e2c6f15a54d559081bd597f76127d" align="left">
                <p id="paragraph-26ba2e716bc14e718e72fdb33c28a912"> 6</p>
              </td>
              <td id="table-cell-68e7b0a687074b02b855781c0241a0b7" align="left">
                <p id="paragraph-50aff974f3864d74b929c4de9ae4cf11"> Nabagraha Road and its nearby areas</p>
              </td>
              <td id="table-cell-9284a138e12948b3ab731079059e8d1e" align="left">
                <p id="paragraph-3d3cefe09e304436a7556806578d1e9a"> 16</p>
              </td>
              <td id="table-cell-f603d4fa94a34c93ab6bcec70e715e52" align="left">
                <p id="paragraph-dcd2e07946c44132aa652b3e9479a201"> Hedayatpur</p>
              </td>
            </tr>
            <tr id="table-row-39eabf117a644b048381a6307b9e64b9">
              <td id="table-cell-33449c0d481c434ebc5a54a27dfc310f" align="left">
                <p id="paragraph-d46e72d397ca4626a80323d7ce7f2c96"> 7</p>
              </td>
              <td id="table-cell-741f76c181b846ebaae1412e35efd100" align="left">
                <p id="paragraph-c0ecc192ec704db885f016705cfdc28d"> Along the Kanwachal road , particularly the southern part</p>
              </td>
              <td id="table-cell-5bce20066b604b4c90ca96f8023987fe" align="left">
                <p id="paragraph-7666dfe75bc946d88378cce890866482"> 17</p>
              </td>
              <td id="table-cell-de3fb1ed282947a1b37ef15174fe923d" align="left">
                <p id="paragraph-c4b97a602984447484eb75ba6617175f"> Lamb Road , Ambari</p>
              </td>
            </tr>
            <tr id="table-row-70e32a215d4447e8b5728d2b0a94746d">
              <td id="table-cell-c193014073ec44a593b1bc0fd2f20fe9" align="left">
                <p id="paragraph-d03001faf2e44595a198c419b9d67991"> 8</p>
              </td>
              <td id="table-cell-d49c13cb14f04b00bf38ec329efe8500" align="left">
                <p id="paragraph-2c0b394a6a8840f7b5d6f9cd1985ee44"> Nabin Nagar / Anil Nagar /Ambikagiri Nagar / Tarun Nagar /Lachit Nagar upto Bhangagarh</p>
              </td>
              <td id="table-cell-8068502f1c6e485cb2dbfdbddcafa5ab" align="left">
                <p id="paragraph-dec6b90e32af40c09c3ca2743e65267f"> 18</p>
              </td>
              <td id="table-cell-8a26aa9a41bc40039888658bee837ee3" align="left">
                <p id="paragraph-4394a7f9972343f1b5bbbee36a29f08a"> Gandhibasti area</p>
              </td>
            </tr>
            <tr id="table-row-7bd67785cfd948f99a1e9eac8b87e126">
              <td id="table-cell-0340c2f3cc3b40738d1e669313a2251c" align="left">
                <p id="paragraph-ac2953b08ca94734a1a7f65a349f3f4e"> 9</p>
              </td>
              <td id="table-cell-1747350af6a04f82bc4821c9854c8a3b" align="left">
                <p id="paragraph-23dd0c8cdf7d4fffa93e5618b6577e32"> Srimantapur</p>
              </td>
              <td id="table-cell-b5c88492b662477f8b7274fbc132db7c" align="left">
                <p id="paragraph-b4bb0002f69346dc99f893654a43b9ec"> 19</p>
              </td>
              <td id="table-cell-c3166051607f4b7eae0c74702841fea4" align="left">
                <p id="paragraph-3291078478d74d2e86396b03a10569ee"> B.K Kakati Road</p>
              </td>
            </tr>
            <tr id="table-row-6a1cf7253eb44cf885919c305e22985c">
              <td id="table-cell-384da3b2380e483abbad3f27873afb65" align="left">
                <p id="paragraph-d86eb61a4fc14e7d963e3c6c0e26633e"> 10</p>
              </td>
              <td id="table-cell-ba06950f43a44aa3ac97b5859a08f3a5" align="left">
                <p id="paragraph-dd8779338bc842a2b3d0f8037f9c7d20"> Christianbasti area of G.S Road</p>
              </td>
              <td id="table-cell-91c73dade80e417f90bc1c04a61f3666" align="left">
                <p id="paragraph-a46ed8e9afb44a04a0352116036072b4"> 20</p>
              </td>
              <td id="table-cell-516c985c124a425bbc73ecab80522337" align="left">
                <p id="paragraph-e2bf5ebd075f4dd6827962a20605117a"> Kachari Garigaon</p>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-aacb319e1c5844338fadab6d01e4fa47"/>
      <p id="paragraph-96aac127d3a7401e8b2cd146eb555d26"/>
      <table-wrap id="table-wrap-681dcf3985124002acc547c273ab6074" orientation="portrait">
        <label>Table 2</label>
        <caption id="caption-f543a9cb622a44ef975974f4f0193c97">
          <title id="title-4da4f630a8a74646a8ea9f6d67275bf6">
            <bold id="strong-da4f4c6d6ca44e9f974e9c831586e304">Flood Indulated Diagram Of Guwahati</bold>
          </title>
        </caption>
        <table id="table-2295f3a0200542b2b773a6430f71c3c1" rules="rows">
          <colgroup/>
          <tbody id="table-section-a45a7630f2b8403e94accc5d393b3499">
            <tr id="table-row-e41e10214e994857b83e632986ca5d54">
              <td id="table-cell-3e6a2bf507e9403681d8318179b2748f" align="left">
                <p id="paragraph-6a1960b0528c45088057c691c907a90b">
                  <bold id="s-359fe953d326">Sl.No</bold>
                </p>
              </td>
              <td id="table-cell-c3ad5de9140b492894c958fd84d242f3" align="left">
                <p id="paragraph-f8a3e9c3aaab4b43bc58635806e54d2e"> <bold id="s-7b24392e3525">Zone</bold></p>
              </td>
              <td id="table-cell-298660a83f524d358feddadfb61a4d7a" align="left">
                <p id="paragraph-aff4c1183a5346af93d9da29a78af770">
                  <bold id="s-563263d247dc"> Flood Indulation (%)</bold>
                </p>
              </td>
            </tr>
            <tr id="table-row-7d3607ed0f194121a2def1b83d9de191">
              <td id="table-cell-646cb025c9f54ad7862e926ecef6bc15" align="left">
                <p id="paragraph-d05d1300c42c48f09e007c17b33bef0d"> 1.</p>
              </td>
              <td id="table-cell-39a218cf2e1c4de98bef354e5926ec3e" align="left">
                <p id="paragraph-e088ebdbc27448b3867c8c5b68dd28a5"> Indulated Free Zone</p>
              </td>
              <td id="table-cell-9db3a7dfc4f849d0821f3129e9271235" align="left">
                <p id="paragraph-1d104b5c1f22458091d95160c37fe567"> 14%</p>
              </td>
            </tr>
            <tr id="table-row-efe82fbc912d4ad1a9a785277ab74488">
              <td id="table-cell-5cbab623c4ae4a5bbc43276890346feb" align="left">
                <p id="paragraph-a494ef0587f7483b9001f6f92605b7b2"> </p>
              </td>
              <td id="table-cell-e0b278e11363471ea24aeec11ba8bfbf" align="left">
                <p id="paragraph-503d0cb8255b4e019182a46c00396617"> </p>
              </td>
              <td id="table-cell-f6fd3ec6deeb4ee798fc42f97e7f2e2b" align="left">
                <p id="paragraph-318f9901fadd442ebcc7f85aedb3f709"> </p>
              </td>
            </tr>
            <tr id="table-row-1a17e286a68949c9af7c4bdd53c4d2a4">
              <td id="table-cell-65d362be129347bc8261518511c2b3ac" align="left">
                <p id="paragraph-28bab4d24c574d73b1ec44c7306a3010"> 2.</p>
              </td>
              <td id="table-cell-1f4dc04fd8e74e1c82bd6eeac93d0606" align="left">
                <p id="paragraph-bc4a429f8de646b2b5bb96d861a52b51"> Rarely Indulated zone</p>
              </td>
              <td id="table-cell-bbe4b2e46b5742ec9eabaeace9ff90b1" align="left">
                <p id="paragraph-62d620d85d624ae2877ff99335ccc80e"> 44%</p>
              </td>
            </tr>
            <tr id="table-row-5285135f2b874376a5083a97f6219d44">
              <td id="table-cell-35417d7650d94590a227067581c9256d" align="left">
                <p id="paragraph-25a07e70f8914fc48767480b473a73ad"> 3.</p>
              </td>
              <td id="table-cell-29cf21bd39ea448781249037f55f446f" align="left">
                <p id="paragraph-4fa44298ca804782b1b6dec4ead2e588"> Chronically Indulated zone</p>
              </td>
              <td id="table-cell-840bb1a7e6534473b5467251a893d18a" align="left">
                <p id="paragraph-e4ffa2db7efb4fc485de93faad44c5fa"> 31%</p>
              </td>
            </tr>
            <tr id="table-row-c371a64b00ab4f7ca8294dbd84f394e9">
              <td id="table-cell-8aeb364f1e294a1d97888ab4b6e0adb0" align="left">
                <p id="paragraph-175ed1d938e040208b4b09615838c59b"> 4.</p>
              </td>
              <td id="table-cell-9c36654bb96649979ff4ff1c9819482c" align="left">
                <p id="paragraph-d5442aec30414c158ece84ff5c88ce31"> High Indulated Zone</p>
              </td>
              <td id="table-cell-8094ee21604a4d818ca5a4c76d500dec" align="left">
                <p id="paragraph-a60d2153fde24fd9bdf03c50ed3f7195"> 11%</p>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-d98e73a6681945bc9161193a97c99c39"/>
      <p id="p-400be5faf989"/>
      <fig id="f-31b414c36616" orientation="portrait" fig-type="graphic" position="anchor">
        <label>Figure 2 </label>
        <caption id="c-ba8daee1b617">
          <title id="t-fd67cc27ec35">Flood Indulation %</title>
        </caption>
        <graphic id="g-f95d159bf056" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/6bfd9459-933d-4072-88fa-0a9f89363600/image/7dbed73b-8080-46c5-b4ca-416c35e21c6d-uimage.png"/>
      </fig>
      <p id="p-163652974f40"/>
      <p id="paragraph-9ccf77dfd72c4ce696d8863e94fd0eb7">The above graph is prepared to show the flood inundated area of Guwahati city. We have downloaded the metadata of the flood Inundated area of the city from the Bhuvan web portal. It gives an average data of Guwahati from 2011-2019. As we can see in the above-mentioned pie graph the percentage of rarely indulated zone is 44%, the percentage of Indulated free zone is 14%, the percentage of chronically indulated zone is 31% and the highly indulated zone covers a percentage of 11% on average.</p>
    </sec>
    <sec>
      <title id="title-6d82e5e44f96444990fb0f602329c89f">Results and Discussion</title>
      <p id="paragraph-3396f2ed146d41ab87ca964959874e05">The rain period of the year lasts for 9.6 months from January 30<sup id="superscript-eee7222575c0449db0e9d61583a4ecec">th</sup> to November 17<sup id="superscript-ad361894dc824ff685d9ec276e6a5382">th</sup> with a sliding 31-day rainfall of at least 0.5 inches. The most rainfalls during 31 days centered on July 1<sup id="superscript-d7adb084e1f8468d8025c6acead686dd">st</sup> with an average total accumulation of 13.0 inches.</p>
      <sec>
        <title id="t-19d744a1f804">Factors Responsible for Urban Flood in the City:</title>
        <sec>
          <title id="t-e49377475b52">Rainfall</title>
          <p id="paragraph-b1267fc7d82a4837bc436e3afbf922b0"/>
          <table-wrap id="table-wrap-a718a0b0efb84918913b0bdda769e0f1" orientation="portrait">
            <label>Table 3</label>
            <caption id="caption-2c6cda6ff5244d57aae56f878d444c40">
              <title id="title-8da91f1533844b5bae929ebf80e2ceea">
                <bold id="strong-90ad27b7cd03496188d44005cd2a6403">Average Rainfall (mm) in Guwahati from 2010-2019</bold>
              </title>
            </caption>
            <table id="table-94ed4c3447b047f8932596849907d035" rules="rows">
              <colgroup/>
              <tbody id="table-section-f5bd50f551eb4e8c9f76a71d9b0f4be9">
                <tr id="table-row-4ef22a6f81cd4fc6bc46e7c72a129d33">
                  <td id="table-cell-c9488b8efa8647068adf661d85280ec2" align="left">
                    <p id="paragraph-9227e878ec164854b7de0c8261e2b6d8">
                      <bold id="s-3a18220d0b59"> Sl No.</bold>
                    </p>
                  </td>
                  <td id="table-cell-95008c90cf9a42db93bd58f915183e57" align="left">
                    <p id="paragraph-2b37df175c3a42ca91a3e01afa6f2293"> <bold id="s-e234d40e733d">Year</bold></p>
                  </td>
                  <td id="table-cell-9c24c8189d544503bc7f0387c7007ab9" align="left">
                    <p id="paragraph-46c8e459c2d848b8a75c181f828ea623">
                      <bold id="s-305a9b93b38b"> Average Rainfall in mm</bold>
                    </p>
                  </td>
                </tr>
                <tr id="table-row-9366025f2b9f4355acaf28792686f800">
                  <td id="table-cell-e321d777066945f882c473bdc20f18b3" align="left">
                    <p id="paragraph-15f5017906744907aedd632833055138"> 1</p>
                  </td>
                  <td id="table-cell-d26f90b3b2f549ba862622be656f3c4f" align="left">
                    <p id="paragraph-6f2b07e2a35b4458972d02e9e86e4d98"> 2010</p>
                  </td>
                  <td id="table-cell-e0679f302a854bada9c474baec4dbfb2" align="left">
                    <p id="paragraph-b1a60967b7984b7183699be33ebc7dcc"> 233.74</p>
                  </td>
                </tr>
                <tr id="table-row-81841a7ce84740689b8433df90557698">
                  <td id="table-cell-ff3fc941dc364b28ab2c02cdc375f477" align="left">
                    <p id="paragraph-7671eb5ab39d4905a5e7a48a16e62d9d"> 2</p>
                  </td>
                  <td id="table-cell-8264279ffdee4d768fd91d6907725d63" align="left">
                    <p id="paragraph-ea38a0b9c39949109a9e794cac4311ea"> 2011</p>
                  </td>
                  <td id="table-cell-d5a0abe8ab9b4400ba92c364779f6336" align="left">
                    <p id="paragraph-22b80c73da6a4d0d849a44149eede9a9"> 246.66</p>
                  </td>
                </tr>
                <tr id="table-row-ea26b61fa4174163935b84050d2dd33b">
                  <td id="table-cell-bc56d34338e5421f9ad082e0a36a7475" align="left">
                    <p id="paragraph-02e6b851ba7c40fd8d2922da1c0d406b"> 3</p>
                  </td>
                  <td id="table-cell-4767c3be9af4463299b58e6680048ad9" align="left">
                    <p id="paragraph-3528998510a34ffeaf3702d4bae5c5b5"> 2012</p>
                  </td>
                  <td id="table-cell-cbb353e7725644839eff715b6d775c54" align="left">
                    <p id="paragraph-9a725aa15f834e1ca38086189c6d51fa"> 332.37</p>
                  </td>
                </tr>
                <tr id="table-row-c448ead0b53c4bdb8126ba988d7e7780">
                  <td id="table-cell-d4947a1c84084bfaad2e3d5d7d87f8ae" align="left">
                    <p id="paragraph-bf80955af70641169e9fe0e1d4cd4150"> 4</p>
                  </td>
                  <td id="table-cell-69639032d12c429d904107d4dc2f9b7f" align="left">
                    <p id="paragraph-a00457a806844ddfa522d1d43c7dbba3"> 2013</p>
                  </td>
                  <td id="table-cell-16a83d9aeea649d6beffa77bb3ee1e7d" align="left">
                    <p id="paragraph-23102d19904d443e8ecfe703db6d1a60"> 356.36</p>
                  </td>
                </tr>
                <tr id="table-row-09da4b9b64d84d4b9d76d2e00b0f7fe0">
                  <td id="table-cell-a21f91262d4a48c2bb6e4c8dedaa06fc" align="left">
                    <p id="paragraph-0ac99fa9dac9412997909f7e26e0aa93"> 5</p>
                  </td>
                  <td id="table-cell-f74bfc3d5bc2404fa494ba857f29f572" align="left">
                    <p id="paragraph-6980d612f11c4228bd395a58f7710c17"> 2014</p>
                  </td>
                  <td id="table-cell-9c5a7b449d654860ba80337a8a039a12" align="left">
                    <p id="paragraph-3bd8a07cafe0412a9cef51f74cf0d768"> 212.35</p>
                  </td>
                </tr>
                <tr id="table-row-a8d2630b14bd456d813321d03920cf33">
                  <td id="table-cell-945d251281d24c13be25d9835fc48689" align="left">
                    <p id="paragraph-9f0a652bc17449df997b052b41d656b3"> 6</p>
                  </td>
                  <td id="table-cell-11ae94de9320476fb65be3769538ae56" align="left">
                    <p id="paragraph-f6589ea5441540b5a4bd9485e7905fc4"> 2015</p>
                  </td>
                  <td id="table-cell-2ba8ccef0a8b48e4818f5d8510048c02" align="left">
                    <p id="paragraph-16647405069f4536b4771c1df2484c52"> 434.78</p>
                  </td>
                </tr>
                <tr id="table-row-0d9d48f2903945ef960a6778a25f8c82">
                  <td id="table-cell-04128202d08244618fc3fbbad1492d25" align="left">
                    <p id="paragraph-1ef8c77e6130479a841f56a6994409e2"> 7</p>
                  </td>
                  <td id="table-cell-65d0cd6c58a644ab93944c1f0d080f8e" align="left">
                    <p id="paragraph-4db2a06fc39a41a49d935175b05ccd7d"> 2016</p>
                  </td>
                  <td id="table-cell-e6b30b7f8d894687ab3a9ecb8862ac08" align="left">
                    <p id="paragraph-804b8b757d094d9d81c43ab9fe86a14c"> 396.83</p>
                  </td>
                </tr>
                <tr id="table-row-23ce06bd7d2941e6975633c1ced7264c">
                  <td id="table-cell-eed84fd0be114aa09689f13a1e51259c" align="left">
                    <p id="paragraph-abac1741e19442f1a5d3f674a226aebf"> 8</p>
                  </td>
                  <td id="table-cell-3419906f84bc44b78b549daf16bde3f9" align="left">
                    <p id="paragraph-87fa7f0d41664576bc426f0654311b25"> 2017</p>
                  </td>
                  <td id="table-cell-99329865b8a5460da78627fb9f57c5f7" align="left">
                    <p id="paragraph-0119f4e9a69346468cfb26bdb7334527"> 417.87</p>
                  </td>
                </tr>
                <tr id="table-row-91c86986ef5545e38b85c5da1727618e">
                  <td id="table-cell-7506024ca9c4460cbad9dbd61ff297f4" align="left">
                    <p id="paragraph-24178618624e47589787db4aad614275"> 9</p>
                  </td>
                  <td id="table-cell-22113c9f2c29439990ff23c6a8a2077d" align="left">
                    <p id="paragraph-4942dca203cf4a6e9f041f51650f2474"> 2018</p>
                  </td>
                  <td id="table-cell-2436c9f492dc497493ee4eb18dc6ea22" align="left">
                    <p id="paragraph-e435dd5d847745f6a3d07b653370d198"> 313.14</p>
                  </td>
                </tr>
                <tr id="table-row-2921f5cd45724688b2d5eb6c5e4125aa">
                  <td id="table-cell-152643c76f5940ebbc71d5ba7f6419d2" align="left">
                    <p id="paragraph-3b54321c5b274961a0af58ad68c51da8"> 10</p>
                  </td>
                  <td id="table-cell-ff0a2c3539d84e2d9008b5fb98039235" align="left">
                    <p id="paragraph-0f03cf521436423484e3e7d94da48f21"> 2019</p>
                  </td>
                  <td id="table-cell-0c78d8387d3141dfad812d34a913d469" align="left">
                    <p id="paragraph-44eab87d08cb49218ac70d979d4d5496"> 1172.6</p>
                  </td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn-group>
                <fn id="f-42512e2ef686">
                  <p id="p-a262ff899b9e">Source: IMD Guwahati</p>
                </fn>
              </fn-group>
            </table-wrap-foot>
          </table-wrap>
          <p id="p-cd1f4e7b7395"/>
          <p id="paragraph-b4d5f794e10d47bca97383b22cc4a075"/>
          <fig id="f-e7c0093c6dc8" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 3 </label>
            <caption id="c-63a8197d85d1">
              <title id="t-7304669acbed">Average Rainfall (mm) in Guwahati From 2010-2019</title>
            </caption>
            <graphic id="g-ec0b5feb31f8" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/6bfd9459-933d-4072-88fa-0a9f89363600/image/8d4bda94-5930-41be-82cf-ea52008441f8-uimage.png"/>
          </fig>
          <p id="p-6510e019b5ba"/>
        </sec>
        <sec>
          <title id="t-2fa880c088f0">Change in land use and land cover from 2011-2012 to 2015-2016</title>
          <p id="p-0d3765ea6a3d"/>
          <table-wrap id="table-wrap-94c976ac58634eaebc7b349c671a7f48" orientation="portrait">
            <label>Table 4</label>
            <caption id="caption-33f511bc117e4429947fbb04522b2a1b">
              <title id="title-44de3dade4e04d47b237a4e01eda7914">
                <bold id="s-fb116c6a54d1">Category Wise Distribution of Land Use/ Land Cover in Kamrup District 2011-2012</bold>
              </title>
            </caption>
            <table id="table-155317e14140466792d17025163182ce" rules="rows">
              <colgroup/>
              <tbody id="table-section-fab417fced5e4836954a15ac33b186e1">
                <tr id="table-row-92ac818fd80d439a936b4454189ca959">
                  <td id="table-cell-eef311947d6c41e08018d9551caa5d2a" align="left">
                    <p id="paragraph-3cae59548bb84ecd8e6dfad25a0b58b6">
                      <bold id="s-c2b9346b61b2"> Level 1</bold>
                    </p>
                  </td>
                  <td id="table-cell-bc21524a058b48caaa12154857574916" align="left">
                    <p id="paragraph-4f78393c168c46ddb6d7737c639cea14">
                      <bold id="s-e4bfe3032c42"> Distribution (km<sup id="superscript-ecfd92834c51425f9eac09afb640cc99">2</sup>)</bold>
                    </p>
                  </td>
                </tr>
                <tr id="table-row-4d6d439538aa4a24bbe341e351c89093">
                  <td id="table-cell-7127bf05bb7a449e88c8cea2f3f3aa7b" align="left">
                    <p id="paragraph-072d2e854f564eef98b9337da3f82490"> Agriculture</p>
                  </td>
                  <td id="table-cell-37286756002b4cf285aaee76476e3a28" align="left">
                    <p id="paragraph-9c167068d9b94bc8b7918a55577cd7c3"> 1490.77</p>
                  </td>
                </tr>
                <tr id="table-row-cd13dceb329240e483268ba768f0e02e">
                  <td id="table-cell-54905a3f11244b7ca93d764e6618e0b1" align="left">
                    <p id="paragraph-be4fc4f08c1740d084b7222463518f41"> Barren/ Uncultivable/ Wastelands</p>
                  </td>
                  <td id="table-cell-e5e8ca15d47940f3bc9a139de04dc2b2" align="left">
                    <p id="paragraph-0a213dec8d164b95ac2e9b64010bfaf6"> 36.696</p>
                  </td>
                </tr>
                <tr id="table-row-d66afd2023e046cdbb82f8c556864741">
                  <td id="table-cell-c87c1cc989954deab003c2f8bea56257" align="left">
                    <p id="paragraph-14f68fbde2c642f38b59fdd384af5c54"> Built-Up</p>
                  </td>
                  <td id="table-cell-00e2efd489814dbdb7df72cd7670ed4e" align="left">
                    <p id="paragraph-8a0405c95f5a41cba9e7f00b8920d499"> 196.13</p>
                  </td>
                </tr>
                <tr id="table-row-e231cca995514c359de3af12d92710e3">
                  <td id="table-cell-02a9ba159585474bb7aa987a8f060ca2" align="left">
                    <p id="paragraph-27d407f31e504367a8f43d14ae7b60e6"> Forest</p>
                  </td>
                  <td id="table-cell-ee5e42d00afb4ecfaa2c20466b6ca1a4" align="left">
                    <p id="paragraph-ce71bedfdad14929bcc8445ae64baece"> 2095.71</p>
                  </td>
                </tr>
                <tr id="table-row-b31d1517b0f0401db630127a1468b064">
                  <td id="table-cell-5b396a91f6e24ce28b22961a45694691" align="left">
                    <p id="paragraph-cf36be66468d4d58bb8e277e6c956630"> Wet Land</p>
                  </td>
                  <td id="table-cell-d14d9b21c00e446bb8e327b870894df6" align="left">
                    <p id="paragraph-0f30a8bb25f34e94b43b8c63bce0eea8"> 173.287</p>
                  </td>
                </tr>
                <tr id="table-row-0a218f43a1044ab6ac57a40dbdb9f3f2">
                  <td id="table-cell-68d19ed60fc14a58acdf20397d33d6e3" align="left">
                    <p id="paragraph-7dfed1e8f7744c3fabeb073bda39344e"> / Water Bodies</p>
                  </td>
                  <td id="table-cell-936ee9cf386d468f9f8d5f5f41e821fe" align="left">
                    <p id="paragraph-eec0872010b044a0b3f5d32949c526da"> 293.46</p>
                  </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p id="paragraph-9742713f867e4ad48973b5977c180c78"/>
          <p id="p-b1b713730238"/>
          <p id="p-0ac9fd2c6846"/>
          <fig id="f-d4982d97ad60" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 4 </label>
            <caption id="c-259ad3f50dc4">
              <title id="t-22f4a2c08f27">Land use and land cover of kamrup DISTRICT 2011-2012</title>
            </caption>
            <graphic id="g-a4ee73b11707" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/6bfd9459-933d-4072-88fa-0a9f89363600/image/07dc61f9-65e0-4080-85b9-4a2e2aa61d55-uimage.png"/>
          </fig>
          <p id="p-8966d82c25f5"/>
          <p id="p-fed13f1bf0f5"/>
          <fig id="f-325733f28969" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 5 </label>
            <caption id="c-1343bf315c82">
              <title id="t-ab548f042258"/>
            </caption>
            <graphic id="g-988b4fcfad9b" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/6bfd9459-933d-4072-88fa-0a9f89363600/image/4883a520-19bd-450c-8166-082f4a33ebc9-uimage.png"/>
          </fig>
          <p id="p-c7d3988ba375"/>
          <p id="p-536b883e912f"/>
          <table-wrap id="tw-02a80f1aab78" orientation="portrait">
            <label>Table 5</label>
            <caption id="c-e6dd56422d6e">
              <title id="t-81e31872c110">
                <bold id="s-38352642c5e1">Category Wise Distribution of Land Use/ LandCover in Kamrup District (2015-2016)</bold>
              </title>
            </caption>
            <table id="table-1" rules="rows">
              <colgroup/>
              <tbody id="table-section-1">
                <tr id="table-row-1">
                  <td id="table-cell-1" align="left">
                    <p id="p-de2eaf6e6fb7">
                      <bold id="s-461f026fe5ec">Level 1</bold>
                    </p>
                  </td>
                  <td id="table-cell-2" align="left">
                    <p id="p-b90cd63b6f17">
                      <bold id="s-4645f2861d9e">Distribution (km2)</bold>
                    </p>
                  </td>
                </tr>
                <tr id="table-row-2">
                  <td id="table-cell-3" align="left">
                    <p id="paragraph-3">Agriculture</p>
                  </td>
                  <td id="table-cell-4" align="left">
                    <p id="paragraph-4">1529.27</p>
                  </td>
                </tr>
                <tr id="table-row-3">
                  <td id="table-cell-5" align="left">
                    <p id="paragraph-5">Barren/ Uncultivable/ Wastelands</p>
                  </td>
                  <td id="table-cell-6" align="left">
                    <p id="paragraph-6">119.6</p>
                  </td>
                </tr>
                <tr id="table-row-4">
                  <td id="table-cell-7" align="left">
                    <p id="paragraph-7">Built-Up</p>
                  </td>
                  <td id="table-cell-8" align="left">
                    <p id="paragraph-8">234.31</p>
                  </td>
                </tr>
                <tr id="table-row-5">
                  <td id="table-cell-9" align="left">
                    <p id="paragraph-9">Forest</p>
                  </td>
                  <td id="table-cell-10" align="left">
                    <p id="paragraph-10">1957.49</p>
                  </td>
                </tr>
                <tr id="table-row-6">
                  <td id="table-cell-11" align="left">
                    <p id="paragraph-11">Wet Land</p>
                  </td>
                  <td id="table-cell-12" align="left">
                    <p id="paragraph-12">141.85</p>
                  </td>
                </tr>
                <tr id="table-row-7">
                  <td id="table-cell-13" align="left">
                    <p id="paragraph-13">Water Bodies </p>
                  </td>
                  <td id="table-cell-14" align="left">
                    <p id="paragraph-14">292.02</p>
                  </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p id="paragraph-15"> </p>
          <p id="p-4eade38ad0a5"/>
          <fig id="f-5c26ac554968" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 6 </label>
            <caption id="c-1fa9dff068cf">
              <title id="t-97a3a73621ef">
                <bold id="s-10f9148a3ba4">LandUse/ Land Cover in Kamrup District (2015-2016)</bold>
              </title>
            </caption>
            <graphic id="g-71a39c6be671" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/6bfd9459-933d-4072-88fa-0a9f89363600/image/3729288e-c7b8-4858-8abb-b5eb0b3ae70a-uimage.png"/>
          </fig>
          <p id="p-82cf9d38bddf"/>
          <p id="p-2dcaeadadcfe"/>
          <p id="p-a4d026b5649d"/>
          <fig id="f-440452e65718" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 7 </label>
            <caption id="c-d92ef66f9813">
              <title id="t-3ab5ca6a7190"/>
            </caption>
            <graphic id="g-831442be4b5c" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/6bfd9459-933d-4072-88fa-0a9f89363600/image/fa42b75a-a52b-4c36-b449-be30da471b3d-uimage.png"/>
          </fig>
          <p id="paragraph-2326b4b91b0c46ae8b502154f8075480"/>
          <p id="p-7081b35702c2"/>
          <p id="paragraph-e3f8f0f3ca5b44338310cc71b0ae5b7d">The LULC (Land use and Landover Map) of Kamrup (Metro) District Guwahati is downloaded from Bhuvan Web Portal. The LULC map belongs to the year 2011-2012 and 2015-2016. As we can see Change in Land use and Landover is the most dominant factor responsible for rapid urban floods in the city. With the growth of rapid urbanization, the land use and land cover of the city changes in the past years. As we have taken 5 years, we have observed several changes in the LULC pattern. The cropland increased from 1350 sq km in 2011-2012 to 13.87.82 sq km in 2015-2016. The Scrubland increased from 32.505 in 2011-2012 to 119.22sq km in 2015-2016. The mining area increased from 10.960 sq km to 21.57 sq km, urban cover changed from 128.862 sq km to 157.14 sq km in 2015-2016. Scrub. Forest decreased from 218.038sq km in 2011-2012 to 47.98 in 2015-2016.</p>
          <fig id="figure-bff685c01066476fb4eaeec5a8880af6" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 8 </label>
            <caption id="caption-5f21ba38fc484cc58012957a721adc96">
              <title id="title-5adbc51751c64053b43c1d601440fad0"/>
            </caption>
            <graphic id="graphic-92316d2d2030407b87afd8a64f2567c5" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/ef47e1ad-52fe-4684-9e5a-498c92bfdc01image6.png"/>
          </fig>
          <p id="paragraph-fffe3fce0d114fc3b2c0fa798b06d238">The Flood Risk zone of Guwahati City showing the 30 wards (ABC) 2013, where we have classified the ward map into Flood risk zone of Very low, Low, Moderate, High, Very High based on a percentage of the flood area. The above data is collected from the GMDA (Guwahati Municipality Development Authority) board of Guwahati. ward no 20A Bhangagarh, Tarun Nagar, and Nabin Nagar, 21C Zoo Tiniali belongs to High-Risk Zone.</p>
          <fig id="figure-d94e6c090c4445ee892b56723aad2a24" orientation="portrait" fig-type="graphic" position="anchor">
            <label>Figure 9 </label>
            <caption id="caption-c0c61bc583b44e79b86142307bbaf51f">
              <title id="title-7af3e95f89034a95818a688e5e3e6524"/>
            </caption>
            <graphic id="graphic-e74a114b84274a6aa1c669847f954e00" xlink:href="https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/ef47e1ad-52fe-4684-9e5a-498c92bfdc01image7.png"/>
          </fig>
          <p id="paragraph-e6f940df1c4e4d86af2f1a87bccceb00">The Flood Risk zone of Guwahati City showing the 30 wards 2014, where we have classified the ward map into Flood risk zone of Very low, Low, Moderate, High, Very High based on a percentage of the flood area. The above data is collected from the GMDA (Guwahati Municipality Development Authority) board of Guwahati. ward no 17 and 19 belongs to a very high-risk zone. ward no 1, 8, 9, 13, 14, 18, 20, belongs to high-risk zone. The ward no 2,3,5,6,10,11,12,22,23,24,25,26,28,29 and 30 belongs to moderate risk zone. ward no 4, 7,15,21,31 belong to Low-risk zone. The ward no 16 and 27 belongs to very low risk or no risk zone.</p>
        </sec>
      </sec>
    </sec>
    <sec>
      <title id="t-7422fcf56da5">
        <bold id="strong-1">Effects and Damages Caused by The Urban Flood in Guwahati</bold>
      </title>
      <p id="paragraph-f4893e1b10ef4c21a4a9787617f7a0e7">Brahmaputra Basin and with Special Provisions for Guwahati City:</p>
      <sec>
        <title id="title-79ee7046f25a4f22a46d2e93d312bc92">Damages caused by flood in the city</title>
        <list list-type="order">
          <list-item id="li-f0152fdc7ad1">
            <p><bold id="strong-0e9f50866e1f47b3b4aaa8b89bf986ae">Water logging: t</bold>he city of Guwahati experiences recurrent flood inundation and severe water logging in the occurrence of storm </p>
          </list-item>
          <list-item id="li-c155471fd384">
            <p><bold id="strong-03f8f8aa18bf4b088f49d49b8bcd3ec6">Traffic jam: </bold>the swirling floodwaters submerged homes and fields in many parts of the city water has entered several houses in those areas and the heavy waterlogging on the roads also caused severe traffic jams. Cars, buses, bikes, and vehicles of every sort were found stranded on almost all the major roads. The districts that continued to be affected by the floods are Anil Nagar, Tarun Nagar, VIP Road, Rajgarh, Bhetapara, Jorabat, R G Baruah Road areas, GS Road, and much more were waterlogged. Traffic movement was slow in many areas following heavy waterlogging on the roads. </p>
          </list-item>
          <list-item id="li-95c06c70757d">
            <p><bold id="s-c72f72264546">Electricity cut off for a long time:</bold> after the event during the clean-up process when the floodwaters have dispersed, there are yet further risks as there are serious possibilities of electrocution from water damaged appliances, so the electricity is cut off for a long time.</p>
          </list-item>
          <list-item id="li-88255b91ab40">
            <p><bold id="strong-734ed2494e0f423fb889404843d53df1">Damages to the household’s properties: </bold>immediate impacts of flooding can include loss of human life, damage to property and infrastructure, and destruction of crops and livestock. The psychological effects of loss of life, displacement, and property damage can be long lasting. The prone area in the city. If the Bharalu River fails to drain rainwater, the entire drainage system of the city collapses. Usually, low laying residential and commercial areas face acute problems of waterlogging. Over 40% of the GMC area is vulnerable to flood damage. Bharalu basin is the most flood.</p>
          </list-item>
          <list-item id="li-b04dc649c978">
            <p><bold id="strong-97fb40c5b2434f93afae8cc7b5915ebe">Diseases:</bold> Flood can potentially increase the transmission of the following communicable disease. Water –borne diseases such as typhoid station at Bondajan to facilitate dewatering when the sluice gate is closed.fever, cholera, leptospirosis and hepatitis A. Vector – borne disease such as malaria, dengue and dengue haemorrhagic fever, yellow fever, Japanese encephalitis.</p>
          </list-item>
          <list-item id="li-549cd1511225">
            <p><bold id="strong-1af93676d0d4429fa3c167c7b6784c5b">Sanitation problems:</bold> people lose their homes and often also lose their source of food and water. If the drinking water supply and sanitation system are already inadequate, flooding poses a further major health threat. The commuters alleged that the gutters were blocked and no adequate measures were taken by the Guwahati municipal corporation causing a flash flood in Guwahati. The rain that lashed the city also snapped road links in several places putting motorists and pedestrians in trouble due to waterlogging. The <bold id="strong-6aa8931290e148abb350c8d31daad8ef">urban floods</bold> in the <bold id="strong-eeba60f21b584e5d9e0374eb85369f7b">city</bold> causes great amount of destruction and inconvenience; cause heavy traffic jam due to street waterlogging, paralyzes day to day activities, damage the <bold id="strong-6e8d9de0084a48dab36c8fbe37fa9c28">urban</bold> infrastructure viz, roads, bridges, electric poles, etc causing severe economic damage</p>
          </list-item>
        </list>
      </sec>
    </sec>
    <sec>
      <title id="title-99b5faddd9c84e9a9400a9b4c55a734f">Conclusion</title>
      <p id="paragraph-d35a6251392f4da28550791b7880cfed">Currently, Guwahati city heavily relies on the natural drainage system, and there is no proper drainage plan to cater to the needs of the city. The existing natural drain channels need to be cleared from garbage and keep it clean for the movement of stormwater during monsoon season. The rivulet channels should be kept clear of any waste disposal, and all the drains falling in them should be relocated. The interconnectivity of these natural drains can be handy in directing out the floodwater from the city in quick time; hence the encroachments over the drain channels should be removed. Also, a systematic stormwater drainage system should be planned along with the other infrastructure services After all the analysis it is clear that water coming done from the hills in Guwahati is the major prime reason behind the bowls or the plains in the city core getting flood inundated, thus urban planning schemes of watershed management in hills can be planned by using GIS and calculating the slops. </p>
    </sec>
    <sec>
      <title id="title-a5ef2c80a3c94528b240c12334099572">Suggestions</title>
      <list list-type="order">
        <list-item id="li-c79309af5963">
          <p>To improve the drainage system of Guwahati city to avoid waterlogging.</p>
        </list-item>
        <list-item id="li-bddbb77a4af3">
          <p>The flow of confinement by Embankments.</p>
        </list-item>
        <list-item id="li-e629f0c22dfb">
          <p>Anti-Erosion Measures and river training works.</p>
        </list-item>
        <list-item id="li-bd5c17ce77da">
          <p>Pro-siltation devices.</p>
        </list-item>
        <list-item id="li-f5ec360357cc">
          <p>Sluice Gate should be constructed.</p>
        </list-item>
        <list-item id="li-da1720e08bad">
          <p>Proper maintenance of the manholes in the streets.</p>
        </list-item>
        <list-item id="li-23e18a004d56">
          <p>Disposal of household sewages and garbage properly.</p>
        </list-item>
      </list>
      <p id="p-4fe8f8e333a8"/>
    </sec>
    <sec>
      <title id="title-6ee4625c6b024351a57768efd0f814b7">Causes of the problems</title>
      <p id="paragraph-ed477202df01460580bf4afd39644e46">On the south bank of the Brahmaputra, the Bharula, Khanajan, and Bondajan, rivers eventually meet the Brahmaputra river. Due to blockage in the drainage system through Bharalu, Khanajan, and Bondajan, backflow of the water from the Brahmaputra river cause frequent floods in the city during every summer.</p>
      <p id="p-b15f57f7447c"/>
      <p id="p-623f5306126c"/>
      <p id="paragraph-397cd05e876044568a1096c7a0308533"/>
    </sec>
  </body>
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