周惠成

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:水文学及水资源. 工程管理

办公地点:实验3#-435

联系方式:电话:13804245837 QQ:2246578293 微信:dutwaterzhou

电子邮箱:hczhou@dlut.edu.cn

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Assessment on agricultural drought risk based on variable fuzzy sets model

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论文类型:期刊论文

发表时间:2011-04-01

发表刊物:CHINESE GEOGRAPHICAL SCIENCE

收录刊物:SCIE

卷号:21

期号:2

页面范围:167-175

ISSN号:1002-0063

关键字:variable fuzzy sets; relative membership degree; agricultural drought risk; risk assessment; Liaoning Province

摘要:Drought is one of the major natural disasters causing huge agricultural losses annually. Regional agricultural drought risk assessment has great significance for reducing regional disaster and agricultural drought losses. Based on the fuzzy characteristics of agricultural drought risk, variable fuzzy sets model was used for comprehensively assessing agricultural drought risk of Liaoning Province in China. A multi-layers and multi-indices assessment model was established according to variable fuzzy sets theory, and agricultural drought risk of all 14 prefecture-level cities was respectively estimated in terms of dangerousness, vulnerability, exposure and drought-resistibility. By calculating the combination weights of four drought risk factors, agricultural drought risk grade of each city was obtained. Based on the assessment results, the spatial distribution maps of agricultural drought risk were drawn. The results shows that eastern cities have lower drought dangerousness than western cities in Liaoning Province totally. Most cities are located in low drought vulnerability region and high drought exposure region. Because of frequent and severe drought since 2000, most cities are located in lower drought-resistibility region. Comprehensive agricultural drought risk presents apparent spatial characteristics, escalating from the east to the west. Drought dangerousness is the most important factor influencing comprehensive agricultural drought risk. Through the spatial distribution maps of drought risk, decision makers could find out drought situation and make decisions on drought resistance conveniently.