INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Among all the natural disasters, flood is the most frequent natural disaster in India. As per the record of National Food Commission about forty (40) million hectares of land in the country is prone to flood and the annual average crop land affected by flood is about 3.7 million hectares. The heavy rainfall from southwest monsoon causes the rivers like Ganga, Brahmaputra, Yamuna, Gandak, Kosi, Teesta, Mahanadi, Ravi, Sutlej, Ghaggar, Mahananda, Damodar, Godavari, Mayurakshi, Sabarmati etc. to swell their banks, which in turn floods the adjacent areas of West Bengal, Orissa, Andhra Pradesh, Kerala, Assam, Bihar, Gujrat, Uttar Pradesh, Haryana and Punjab. Though various measures undertaken by the Government over the last few decades, the increasing devastation brought by floods has posed a serious challenge not only to the Government but also to the people. As space technology has now a day’s substantial contribution in disaster management, in the present paper an attempts has been made for the prediction of flood occurrences along with vulnerability risk analysis through 3D visualization and hydraulic modeling using remote sensing and some open source software at GIS environment with a view to provide optimal solution for future hazard mitigation. Initially to identify the reasons behind the flood and the problems associated with it, a detail morphometric, hydrological and basic terrain analysis of the study area has been done using ASTER data along with other secondary data collected from various departments. The land use / land cover information was obtained from Landsat ETM + data as well as through field survey. To predict the probability of flood occurrence along with its intensity and risk assessment hydro-meteorological analysis through IDF curves and a number of hydraulic modeling was done using GIS coupled with HEC-RAS. Finally based on the above data a flood hazard map has been prepared to improve the efficiency of flood monitoring and management work.
Keywords:
ASTER, Landsat ETM +, IDF curves, GIS, HEC-RAS
Cite Article:
"3D Terrain Visualization and Hydraulic Modeling for Flood Hazard Management of Hooghly River Basin, India", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 8, page no.10-17, August-2017, Available :http://www.ijnrd.org/papers/IJNRD1708003.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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