XU Ren, JI Yangguang, ZHAO Dongru, et al. Flood Inundation Analysis Based on Remote Sensing and GIS Technology—A case study in Wangjiang County, Anqing City, Anhui Province[J]. Bulletin of Soiland Water Conservation, 2018, 38(5): 282-287.
DOI:
XU Ren, JI Yangguang, ZHAO Dongru, et al. Flood Inundation Analysis Based on Remote Sensing and GIS Technology—A case study in Wangjiang County, Anqing City, Anhui Province[J]. Bulletin of Soiland Water Conservation, 2018, 38(5): 282-287. DOI: 10.13961/j.cnki.stbctb.2018.05.045.
Flood Inundation Analysis Based on Remote Sensing and GIS Technology—A case study in Wangjiang County, Anqing City, Anhui Province
Anqing City of Anhui Province as the research area
this study designed twenty year flood disaster in order to provide a scientific basis for the application of remote sensing and geographic information system (GIS) in disaster analysis.[Methods] Using remote sensing and GIS technology
land use was supervised and classified based on remote sensing and DEM data base. The submerged area was calculated by seed spread algorithm
calculation
and the proportion of each type of land use in the submerged area was obtained. A flood disaster assessment model was established
and the flood disaster in 20 years was simulated and analyzed by analogy method.[Results] With the influence of the flood disaster in Wangjiang County in 20 years
the affected area was more than 50% of the total area
and the affected population was more than 90%. Using submerged data combined with cases data
the case could be characterized as large flood disaster. By analogy with typhoon "Pearl" with similar evaluation coefficients
disaster relief and rescue measures were designed with test data.[Conclusion] The combination of remote sensing and GIS technology provides a platform for flood design. By using submerge data
the disaster level can be evaluated as soon as possible. Through analogy analysis with the same level of disaster and combining with the actual situation
the disaster relief measures can be drawn up quickly and accurately
and the case can be assessed as a case for reverence.
Cui Lijian, Anna V P, Zhang Manyin. Applications of RS, GIS and GPS technologies in research, inventory and management of wetlands in China[J]. Journal of Forestry Research, 2005,16(4):317-322.
Brian L B, David P L, Qi Jiaguo. A classification-based assessment of the optimal spectral and spatial resolutions for Great Lakes coastal wetland imagery[J]. Remote Sensing of Environment, 2007,108(1):111-120.
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Related Author
GUO Cheng-xuan
XU Song-jun
WU Xi-bo
Related Institution
College of Geography Science, South China Normal University,, Guangdang