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作 者:张力澜 赖成光[3] 陈晓宏[1,2] 何艳虎 杨冰[1,2] 李蔚 ZHANG Lilan1, LAI Chengguang2, CHEN Xiaohong1, HE Yanhu1, YANG Bing1, LI Wei1(1. a. Center for Water Resources and Environment Research ; b. Key Laboratory of Water Cycle and Water Security in Southern China, Guangdong Higher Education Institute, Sun Yat-sen University, Guangzhou 510275, China ; 2. School of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510641, China)
机构地区:[1]中山大学水资源与环境研究中心,广州510275 [2]华南地区水循环与水安全广东普通高校重点实验室,广州510275 [3]华南理工大学土木与交通学院,广州510641
出 处:《热带地理》2018年第2期217-225,共9页Tropical Geography
基 金:国家自然科学基金项目(91547202); 广东省水利科技创新项目(2016-07); 中国博士后科学基金面上项目(2017M612662)
摘 要:运用博弈论耦合主观和客观权重,构建基于模糊综合评价法的流域洪灾风险评价模型,并以北江流域为例,评价了研究区1990、2000和2010年的洪水灾害风险,揭示了洪灾风险年代际的时空演变特征。结果表明:1)运用博弈论组合主客观权重可以避免单一权重的片面性,得到更合理的、符合实际情况的综合权重;2)北江流域3期洪灾风险总体分布相似,大多数区域表现为低风险区,高、中、低风险区占全流域面积比分别约为60%、15%和20%,高风险区主要位于清远―怀集一带,以及佛冈、翁源等地,这些地区具有地势低洼、人口分布密集、经济较发达、暴雨集中等特征;3)高风险区仍表现出逐渐扩大的趋势,在2000―2010年高风险区扩大较为显著,风险上升主要由土地利用类型、人口密度和区域经济发展等的变化所导致。Affected by global warming and intensifying human activities, floods have increased recently across China. In this context, the analysis of flood risk assessment and how the risk had evolved is of significance. According to disaster system theory, 10 indices were selected and classified into three driving factors that are disaster-inducing factor(Maximum 3-Day Precipitation, and Typhoon Frequency), hazard inducing environment(DEM, Slope, Distance to River, Topographic Wetness Index, Stream Power Index, and Runoff Coefficient) and hazard-affected body(Population and Gross Domestic Product), respectively. This study proposed a combination weight that combines the objective and subjective weights by game theory, and then applied the combined weight to an assessment model based on the Fuzzy comprehensive evaluation(FCE). Taking Beijiang River Basin, which is located in South China and had experienced typical urbanization during the last few decades, as a study case, this study assessed the flood risk in 1990, 2000 and 2010, respectively. According to the characteristic of the input indices, only Population, GDP and SPI were considered to evolve from time to time, while the other indices basically remain stable and represented the average annual value. The flood risk was divided into 5 levels: lowest risk, lower risk, middle risk, higher risk and highest risk; finally, the study analyzed the decadal spatial evolution during 1990-2010. After the assessment model was established, the calculating and visualization procedure were accomplished based on the Arc GIS interface. The results showed that: 1) among the 10 selected indices in the combined weight, typhoon frequency and maximum three-day precipitation were assumed to be the most important while population and GDP the least important; the combined weight determined by game theory can decide the proportion of subjective weight and objective weight, and by making some abnormal values of certain index in single weight more reasonable, it can avoid
分 类 号:TV122[水利工程—水文学及水资源]
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