<mets:mets OBJID="eprint_11736" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-05T14:29:25Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_11736_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Hydrodynamic modeling for identifying flood vulnerability zones in lower Damodar river of eastern India</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">R K</mods:namePart><mods:namePart type="family">Singh</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V G</mods:namePart><mods:namePart type="family">Kumar Villuri</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S</mods:namePart><mods:namePart type="family">Pasupuleti</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Nune</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The identification of flood vulnerability zone is very essential to minimize the damage associated with&#13;
the flood. The present study adopted the Hydrodynamic modeling technique for the identification of flood&#13;
vulnerability zones in lower Damodar river of eastern India. Preprocessing of data and preparation of various&#13;
input geometry data (river network, bank line) for the hydrodynamic model were done in an ArcGIS&#13;
environment with the help of high resolution satellite imagery and field survey. Model was calibrated for&#13;
the Manning’s coefficient of roughness (n) and validated with ground data and field photographs highresolution,&#13;
the efficiency of the model was estimated by the index of agreement ‘‘d” which clearly shows&#13;
good agreement between model data and observed data. Based on the model output flooding hotspots&#13;
were demarcated. It was observed that areas downstream to the bifurcation point of the Damodar river&#13;
are more vulnerable to flooding.</mods:abstract><mods:classification authority="lcc">Floods</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2020-03</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Elsevier</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_11736"><mets:rightsMD ID="rights_eprint_11736_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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