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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/24819
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dc.contributor.authorPrakash Mohanty, MohitP.-
dc.contributor.authorKarmakar S.-
dc.date.accessioned2022-03-22T08:34:54Z-
dc.date.available2022-03-22T08:34:54Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Business Analytics, 8(2): 1-16-
dc.identifier.issn23344547-
dc.identifier.urihttps://doi.org/10.4018/IJBAN.2021040101-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/24819-
dc.description.abstractA serious constraint of data availability over flood-prone areas in India limits the potential of carrying out hydrodynamic flood modelling studies. Such difficulties are encountered because of a lack of high-resolution topography, cross-section data of the rivers, and sufficient and accurate calibration and validation data sets. The present study addresses the problems faced in performing a comprehensive 1D-2D coupled flood modelling over a flood disastrous region Jagatsinghpur, Odisha, India. The constraints faced in terms of hydraulic parameters such as water level, discharge, and geometric parameters such as river geometry are investigated. The simulations were performed for a severe flood event in 2011 that incurred heavy socio-economic losses in the district. The establishment of a modelling platform for flood simulation shall elucidate the major constraints faced in hydrodynamic modelling for such flood-prone areas with poor data availability. Copyright © 2021, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.-
dc.language.isoen_US-
dc.publisherIGI Global-
dc.relation.ispartofInternational Journal of Business Analytics-
dc.subject1D-2D coupled flood modelling-
dc.subjectCalibration-
dc.subjectCross-section data-
dc.subjectFlood-prone-
dc.subjectHigh-resolution topography-
dc.subjectHydrodynamic flood modelling-
dc.subjectSocio-economic losses-
dc.subjectValidation-
dc.titleHydrodynamic flood modelling of large regions under data-poor situations: A case study of Jagatsinghpur District, Odisha-
dc.typeArticle-
dc.scopusid57203633749-
dc.scopusid13805286500-
dc.affiliationMohanty, M.P., Environmental Science and Engineering Department (ESED), Indian Institute of Technology Bombay, India-
dc.affiliationKarmakar, S., Environmental Science and Engineering Department (ESED), Indian Institute of Technology Bombay, India-
dc.description.fundingThe work presented here is supported financially by ISRO-IIT (B)-Space Technology Cell (STC) through a sponsored project (No. 14ISROC009). The authors also thank National Remote Sensing Centre (NRSC), Hyderabad; Department of Water Resources (DoWR), Govt. of Odisha; and Odisha Space Applications Centre (ORSAC), Odisha, for providing relevant data for carrying out the research. The support towards computational resources has been provided by Environmental Science and Engineering Department and Engineering and IIT Bombay. 14ISROC009; Department of Water Resources, DWR; Indian Institute of Technology Bombay, IITB-
Appears in Collections:Journal Publications [WR]

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