Global flood modeling: statistical estimation of Peak-flow magnitude
Date
2006Author
United Nations Environment Programme
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RT Generic T1 Global flood modeling: statistical estimation of Peak-flow magnitude A1 United Nations Environment Programme YR 2006 LK https://wedocs.unep.org/20.500.11822/7491 PB United Nations Environment Programme (UNEP) AB TY - GEN T1 - Global flood modeling: statistical estimation of Peak-flow magnitude AU - United Nations Environment Programme Y1 - 2006 UR - https://wedocs.unep.org/20.500.11822/7491 PB - United Nations Environment Programme (UNEP) AB - @misc{20.500.11822_7491 author = {United Nations Environment Programme}, title = {Global flood modeling: statistical estimation of Peak-flow magnitude}, year = {2006}, abstract = {}, url = {https://wedocs.unep.org/20.500.11822/7491} } @misc{20.500.11822_7491 author = {United Nations Environment Programme}, title = {Global flood modeling: statistical estimation of Peak-flow magnitude}, year = {2006}, abstract = {}, url = {https://wedocs.unep.org/20.500.11822/7491} } TY - GEN T1 - Global flood modeling: statistical estimation of Peak-flow magnitude AU - United Nations Environment Programme UR - https://wedocs.unep.org/20.500.11822/7491 PB - United Nations Environment Programme (UNEP) AB -View/Open
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The scope of the present paper is to describe an exploratory analysis on the feasibility of a global flood hazard modeling, which would enable further studies on human vulnerability. The method chosen is inspired by local peak-flow magnitude estimations realized in the U.S. After determining -by GIS-processing- for each HYDRO1klevel 4 basin a set of hydromorphometric and climatic values and the coordinates of a corresponding gauged or ungauged outlet station, peak flow magnitude for gauged stations are estimated using log-Pearson type III distribution, following the directions of Bulletin 17B from USWRCs Hydrologic Subcommittee. Estimates of peak flow magnitude for ungauged stations are then obtained by statistical means, performing several regressions on the basin variables. Peak-flow magnitude estimates enable the computation of corresponding flooded areas using Mannings equation and GIS processing. This regression method is processed on two test-zones situated in North and South America.
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