ZHANG Dan, WANG Guoli, ZHOU Huicheng. Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model[J]. Chinese Geographical Science, 2011, 21(2): 167-175.
Citation: ZHANG Dan, WANG Guoli, ZHOU Huicheng. Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model[J]. Chinese Geographical Science, 2011, 21(2): 167-175.

Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model

  • Publish Date: 2011-03-24
  • 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.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model

Abstract: 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.

ZHANG Dan, WANG Guoli, ZHOU Huicheng. Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model[J]. Chinese Geographical Science, 2011, 21(2): 167-175.
Citation: ZHANG Dan, WANG Guoli, ZHOU Huicheng. Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model[J]. Chinese Geographical Science, 2011, 21(2): 167-175.

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