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标题：Development of a Model to Assess Flood Affected Areas in Near Real Time along Major Rivers of Uttar Pradesh, India
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作者：Karunesh Kumar Shukla ; Ajay Kumar Agarwal ; Purnima Sharma 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：7
页码：6362
DOI：10.15680/IJIRSET.2015.0407151
出版社：S&S Publications
摘要：Remote Sensing and GIS is well-knowntechnology for establishment of flood inundation model forplanners and decision makers for flood management. Generally, flood is submerging of water in a normally dry area.There are many factors responsible for flood such as rainstorms, slow water run-off, intensity of rainfall, duration ofrainfall, catchment size, earthquakes, broken dams etc. Uttar Pradesh is one of the states which facing flood problemevery year because of over flow of waterin rivers flowing through the state as Ganga, Yamuna, Ramganga, Gomti,Ghaghra, Sharda, Rapti, BhuriRapti etc. In 2013, 64 districts of Uttar Pradesh wereadversely affected by flood. Largearea of agriculture land, population and household were affected by flood and waterlogging every year. The presentstudy indicates the significance of Remote Sensing and GIS for developing a flood inundation model to assess the floodaffected areas and numbers of flood inundated villages in each district in almost real time. The present study is anattempt to take decision in near real-time on flood management for planners and decision makers using microwaveremote sensing satellite data (RADARSAT and RISAT). The model generates statistics of flood affected areas near orin the village, affected blocks and districts within two hours after receiving flood layers from National Remote SensingCenter (NRSC), Disaster Management Division, Hyderabad. On the basis of this model the relief and rescue operationmay be planned in more effective manner and saving human lives and livestock.
关键词：Flood; Flood inundation model; Rainfall; Remote Sensing; Microwave Remote Sensing and GIS.