| 摘要: |
| 以重庆市巴南区安澜镇为研究范围，以大比例地形图数据为基础，以50 m×50 m网格尺寸为单位提取研究区数字高程模型(DEM)，利用ArcGIS水文分析模块，通过DEM的洼地填充、模拟水流方向确定各网格单元汇流累积量，并依此设置合理阈值提取河网，根据水流方向数据得到安澜镇110个小流域；以安澜镇山洪的历史灾害统计数据为基础，以110个小流域为统计单元，通过空间的叠加分析、属性表的连接等确定各统计单元灾害点分布情况，利用空间统计分析工具得到安澜镇流域灾害点密度分布情况；结果表明：灾害点高危险密度为1.180- |
| 关键词: 灾害点密度 DEM 流域划分 GIS |
| DOI： |
| 分类号: |
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| Research on the Disaster Point Density at Watershed Scale Based on DEM |
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SUN Xin,HAN Ze,LI Wang hu
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| Abstract: |
| Selecting Anlan Town,a Banan District of Chongqing as the research scope,based on the large scale topographic map data,this paper utilizes the unit of 50m × 50m grid size to extract the digital elevation model (DEM).By the ArcGIS hydrological analysis module,according to the DEM depressions’ filling and the simulation of the direction of flow,each grid cell’s flow accumulation is determined,and in accordance with this flow accumulation,a reasonable threshold is set to extract river,then,according to the data of the direction of flow,Alan Town’s 110 small watersheds are obtained.On the other hand,on the basis of Alan Town’s history flood disaster statistics,taking the town’s 110 small watersheds as statistical unit,using the spatial overlay analysis and the interlinkage of property sheet,the distribution of each statistical unit’s disaster point is located.Finally,by the spatial statistical analysis toolbox,the disaster’s density distribution of Alan Town is abtained.The analysis results show that this town’s high risk disaster point’s density is 1.180 2.341 (a / km2),and the area is 11.89 km2,which is accounted for 9.73% of the total area of Alan town.This analysis is in line with the actual situation of this area,and the division of this basin is relatively reasonable. |
| Key words: disaster point density DEM basin division GIS |
