选取基于云模型的洪水灾害风险评价模型,以安康市地形高程、高程标准差、河网密度以及2010年的汛期降水、人口密度、GDP密度、地均财政收入、耕地比重、农民人均纯收入、单位面积粮食产量10个指标,构建了安康市洪水灾害风险评价指标体系,并采用熵权法确定各指标的权重,通过云模型定量地评价了安康市2010年各县区的洪水灾害风险等级。研究结果表明:安康市汉滨区和汉阴县处于高风险等级,石泉、紫阳、旬阳、白河等县处于较高风险,岚皋、平利2县处于中等风险,宁陕、镇坪2县处于较低风险。
The author used ten indexes ( the terrain elevation, elevation standard deviation, and river network density, as well as the rainfall in flood season, population density, GDP density, local financial revenue, proportion of arable land, rural per capita net income, and grain yield per unit area in 2010) to build the risk assessment index system of flood disaster in Ankang city based on cloud model, computed the weights of various indexes through the entropy weight method, and quantitatively assessed the risk level of flood disaster in each county of Ankang city in 2010. The results showed that: Hanbin district and Hanyin county of Ankang city were at the highest risk level of flood disaster; Shiquan, Ziyang, Xunyang and Baihe county were at a higher risk level ; Lan' gao and Pingli county were at a moderate risk level ; Ningshan and Zhenping county were at a lower risk level.