Assessment and zoning of agriculture drought risk based on fuzzy clustering iterative model in Shaanxi
View Fulltext  View/Add Comment  Download reader
  
DOI:10.7606/j.issn.1000-7601.2018.05.33
Key Words: agricultural drought,risk zoning, geographical information system(GIS),fuzzy clustering iterative model, Shaanxi Province
Author NameAffiliation
WU Di China Irrigation and Drainage Development Center, Beijing 100054, China 
ZHANG Hai-tao Development Research Centre of Ministry of Water Resources China, Beijing 100038, China 
HE Bin Institute of Water Resources and Hydro-electric Engineering, State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China 
WANG Quan-jiu Institute of Water Resources and Hydro-electric Engineering, State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China 
ZHOU Bei-bei Institute of Water Resources and Hydro-electric Engineering, State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China 
Hits: 1213
Download times: 617
Abstract:
      Agricultural drought risk of 10 cities were investigated to strengthen agricultural drought risk assessment and emergency management capacity in Shaanxi by a fuzzy clustering iterative model. The assessing system was constructed by selected 17 representative indexes (including hazard, exposure, vulnerability and resilience)of agricultural drought risk. Further more, GIS technology was used in agricultural drought risk zoning. The results showed that difference and regularity was obvious among the spatial distribution of agricultural drought risk in different regions. The regions exhibiting high to very high risk,were mainly distributed throughout Yulin in Northern Shaanxi, Weinan and Shangluo. The regions exhibiting moderate risk were mainly distributed throughout Yanan, Baoji and Xianyang. The regions exhibiting slight to low risk were mainly distributed in Tongchuan, Ankang, Xi’an and Hangzhong. Agricultural drought risk in northern Shaanxi was relatively stronger than that in the Southern, while drought risk in the eastern Guanzhong was higher than in the western. Finally, adaptive measures and suggestions were proposed according to the respective characteristics of drought risk regions. The findings could provide a reference for administrative department to make a decision on drought mitigation.