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• W2094721510 abstract "A GIS-based method to estimate flood area and damage is presented in this paper, which is oriented to developing countries like China, where labor is readily available for GIS data collecting, and tools such as, HEC-GeoRAS might not be readily available. At present local authorities in developing countries are often not predisposed to pay for commercial GIS platforms. To calculate flood area, two cases, non-source flood and source flood, are distinguished and a seed-spread algorithm suitable for source-flooding is described. The flood damage estimation is calculated in raster format by overlaying the flood area range with thematic maps and relating this to other socioeconomic data. Several measures used to improve the geometric accuracy and computing efficiency are presented. The management issues related to the application of this method, including the cost-effectiveness of approximate method in practice and supplementing two technical lines (self-programming and adopting commercial GIS software) to each other, are also discussed. The applications show that this approach has practical significance to flood fighting and control in developing countries like China." @default.
• W2094721510 created "2016-06-24" @default.
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• W2094721510 date "2002-09-01" @default.
• W2094721510 modified "2023-09-24" @default.
• W2094721510 title "Flood area and damage estimation in Zhejiang, China" @default.
• W2094721510 cites W1501899518 @default.
• W2094721510 cites W2012375134 @default.
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• W2094721510 doi "https://doi.org/10.1006/jema.2002.0544" @default.
• W2094721510 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/12395582" @default.
• W2094721510 hasPublicationYear "2002" @default.
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