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dc.contributor.authorSharma, C.S.en_US
dc.contributor.authorMishra, Atmaramen_US
dc.contributor.authorPanda, S.N.en_US
dc.date.accessioned2015-03-17T14:39:53Zen_US
dc.date.available2015-03-17T14:39:53Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/58380en_US
dc.titleAssessing impact of flood on river dynamics and susceptible regions: geomorphometric analysisen_US
dcterms.abstractNatural climatic hazards like flood, an important hydro-geomorphic process of earth’s surface, have different regional and local impacts with significant socio-economic consequences. Similar was the case in Gujarat State, India during last week of June 2005. This study is about assessing the impact of Gujarat flood on river dynamics. It deals with extraction of water bodies information using radiance image and standard water indices i.e., Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) for pre- and post-flooding periods. Geomorphometric analysis along with drainage network extraction was done using two different Digital Elevation Models (DEMs) i.e., Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) and Shuttle Radar Topographic Mission (SRTM) and compared. Finally, depressions mapping and comparative analysis of magnitude and directional change of drainage networks was carried out. Results confirmed better accuracy of MNDWI in separating water bodies. The water bodies area increased by 10.4 % in post-flood monsoon compared to pre-flood monsoon and by 3.8 % in post-flood dry season compared to pre-flood dry season. Geomorphometric analysis indicated that ASTER DEM gave more values of maximum slope, average slope, and standard deviation as compared to SRTM. Aspects distribution algorithm did not work well in low relief regions. The drainage network generated using SRTMDEM was more accurate. The depressions identified were more susceptible to flood events. Change analysis of drainage network (deviating 100–300 m) indicated that 5.22 % points deviated between October, 2004 and 2005 and 3.18 % between February, 2005 and 2006.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.available2014-04-26en_US
dcterms.bibliographicCitationSharma, C. S.; Mishra, Atmaram; Panda, S. N. 2014. Assessing impact of flood on river dynamics and susceptible regions: geomorphometric analysis. Water Resources Management, 28(9):2615-2638. doi: http://dx.doi.org/10.1007/s11269-014-0630-2en_US
dcterms.issued2014-07en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherSpringer Science and Business Media LLCen_US
dcterms.subjectgeomorphologyen_US
dcterms.subjectimpact assessmenten_US
dcterms.subjectfloodsen_US
dcterms.subjectriversen_US
dcterms.subjectgisen_US
dcterms.subjectremote sensingen_US
dcterms.subjectwater resourcesen_US
dcterms.subjectdrainageen_US
dcterms.subjectmappingen_US
dcterms.typeJournal Articleen_US
cg.contributor.affiliationInternational Water Management Instituteen_US
cg.identifier.doihttps://doi.org/10.1007/s11269-014-0630-2en_US
cg.coverage.regionAsiaen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryIndiaen_US
cg.contributor.crpWater, Land and Ecosystemsen_US
cg.coverage.subregionGujaraten_US
cg.identifier.wlethemeManaging Resource Variability and Competing Useen_US
cg.coverage.iso3166-alpha2INen_US
cg.issn1573-1650en_US
cg.volume28en_US
cg.issue9en_US


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