1. 合肥工业大学 土木与水利工程学院,安徽,合肥,230009
2. 合肥工业大学 计算机与信息学院,安徽,合肥,230009
纸质出版:2018
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徐韧, 吉阳光, 赵东儒, 等. 基于遥感与GIS技术的洪水淹没状况分析——以安徽省安庆市望江县为例[J]. 水土保持通报, 2018,38(5):282-287.
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.
徐韧, 吉阳光, 赵东儒, 等. 基于遥感与GIS技术的洪水淹没状况分析——以安徽省安庆市望江县为例[J]. 水土保持通报, 2018,38(5):282-287. DOI: 10.13961/j.cnki.stbctb.2018.05.045.
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.
[目的]以安徽省安庆市望江县为研究区,设计20 a一遇洪水灾情,为遥感与GIS相结合在灾情分析上的应用提供科学依据。[方法]结合遥感与地理信息系统(GIS)技术,以遥感、DEM为数据基础,对土地进行监督分类,采用种子蔓延算法,推算淹没范围,与土地类型相叠加,得到淹没范围内各类型土地淹没比例。建立洪水灾情评估模型,通过类比法对20 a一遇的洪灾进行模拟分析。[结果]望江县在20 a一遇的洪水影响下,受灾面积超过总面积的50%,受影响人口超过90%,利用淹没数据结合案例进行灾情评估可定性为较大洪涝灾害,与评估系数相近的台风“珍珠”进行类比,利用试验数据设计出救灾抢险措施。[结论]遥感与GIS技术相结合为洪灾设计提供了平台,利用淹没数据,在面对洪灾时可以第一时间对灾情等级进行评估,通过与同等级灾情类比分析并结合实际,能够快速准确地拟定救灾措施,评估损失,并作为案例便于参考分析。
[Objective] Taking Wangjiang County
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.
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