长江流域资源与环境 >> 2014, Vol. 23 >> Issue (10): 1479-.doi: 10.11870/cjlyzyyhj201410020

• 自然灾害 • 上一篇    

基于格网数据的巢湖流域洪涝灾害损失评估

程先富,郝丹丹,韩平,房莉,吕军   

  1. (1.安徽师范大学国土资源与旅游学院,安徽 芜湖 241003; 2.安徽自然灾害过程与防控研究省级实验室,安徽 芜湖 241003)
  • 出版日期:2014-10-20

FLOOD LOSS ASSESSMENT IN CHAOHU BASIN BASED ON GRID DATA

CHENG Xianfu1,2, HAO Dandan1,2, HAN Ping1, FANG Li1,2, LV Jun1,2   

  1. (1.College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China; 2.Anhui Key Laboratory of Natural Disaster Process and Prevention, Wuhu 241003, China
  • Online:2014-10-20

摘要:

洪涝灾害是区域可持续发展的巨大威胁之一。随着全球气候变化、城市化进程加快和人口与经济集聚,洪涝灾害的损失日益严重。提出了洪涝灾害损失评估流程,建立基于网格数据的洪涝灾害损失估算模型,厘定各类资产的损失率。以空间网格为计算单元,在2003年洪水监测的基础上,应用GIS空间分析技术,对2003年巢湖流域的洪涝灾害损失进行了估算。结果表明:巢湖流域总淹没面积2 12504 km2,水田淹没面积最大,为1 71924 km2,洪涝灾害损失总值为194 828万元,无为、合肥、庐江县等洪涝灾害损失较大,舒城和肥西县损失较小。通过验证,该模型效果较好

Abstract:

Flood is one of the great threats for regional sustainable development. As the global climate changes, accelerating process of urbanization and agglomeration of population and economic make flood loss become increasingly serious. Based on land use data, digital elevation data, grid size was set (grid size was 30 m×30 m) and the flood loss assessment basic flow was put out in this paper. According to the water level measured data, watershed digital elevation model and GIS spatial analysis technology, flood submerged area and water depth were calculated. GIS grid and socioeconomic attribute data grid superimposed to form flood disaster assessment grid. The grid not only included GIS topology information, but also included floodrelated information (such as water depth, velocity, duration, etc.) and land use information. Flood loss estimation model was built using the grid data. Based on field survey, combined with the facts of the study area and results of previous studies, agriculture, forestry, animal husbandry, fishery, household property, industrial and mining enterprises loss rates were determined. Based on spatial grid computing unit and flood monitoring data and GIS spatial analysis technology, flood loss was estimated in Chaohu basin in 2003. The results showed that flooded inundated area was 2 12504 km2 in Chaohu basin in 2003, submergences in the 0-05 m, 05-1 m, 1-2 m, 2-3 m, 3 m above area were 44533 km2, 48744 km2, 38146 km2, 42859 km2, 38222 km2. From the view of land use patterns, flooded area of paddy field was the largest, which was 1 71924 km2; flooded grassland was the smallest, only 1086 km2; flooded area of rural residential land, water, dry land, urban construction land, forest land were 18579 km2, 12609 km2, 471 km2, 2339 km2, 1257 km2, respectively. From the administrative region, flooded area of Wuwei County was the largest,  69785 km2; flooded area of Hefei City was the smallest, 4272 km2. Total value of flood loss was 1 948 280 000 yuan. Compared with the statistical data, the error was 619%. Flood loss was larger in Wuwei County, Hefei City and Lujiang County, 522 700 000 yuan, 284 150 000 yuan and 242 230 000 yuan respectively; less loss of Shucheng County and Feixi County was respectively 67 810 000 yuan and 94 480 000 yuan. Judging from the type of asset, economic losses of agriculture and industrial and mining enterprises were large, 662 790 000 yuan and 477 720 000 yuan respectively; forestry loss was the smallest, only 3 620 000 yuan. The flood loss estimation model was proved to be effective through the verification. The evaluation model could meet regional scale assessment of flood loss. Remote sensing data was broadly applied to carry out multiscale dynamic damage assessment

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