Application of improved TOPSIS model to agricultural drought vulnerability in Shaanxi Province
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DOI:10.7606/j.issn.1000-7601.2016.04.38
Key Words: agricultural drought vulnerability  evaluation  improved TOPSIS Model  KL distance  entropy weight method  Shaanxi Province
Author NameAffiliation
XU Han Collage of Environmental Science and Engineering, Chang'an University, Xi'an, Shaanxi 710054
Shaanxi Xue Qian Normal University, Xi’an, Shaanxi 710100, China 
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Abstract:
      Taking 10 regions of Shaanxi Province as the study objects, and selecting 12 indexes including exposure, sensitivity and resilience, we established the index evaluation system of agricultural drought vulnerability. In addition, the relative similarity degree of different regions was calculated using the improved TOPSIS model. Based on the calculation results, we obtained the comprehensive evaluation of agricultural drought vulnerability in Shaanxi. The results showed that: Agricultural drought vulnerability in Shaanxi existed regional disparity. The agricultural drought vulnerability according to the order from high to low in the 10 regions were: Ankang (0.7841)>Shangluo (0.7650)>Hanzhong (0.6939)>Xi'an (0.5977)>Yulin (0.4657)>Yan'an (0.4605)>Weinan (0.4555)>Tongchuan (0.4319)>Baoji (0.3525)>Xianxang (0.2996), and the agricultural drought vulnerability in the southern part were higher than the north part. From the view of exposure, the highest index in Shaanxi was WeiNan, followed by Xianyang and Xi'an, being lower in other regions. On the basis of sensitivity, the polarization was serious, which was mainly manifested that the sensitivity was high in southern Shaanxi Province, and low in northern Shaanxi Province and Guanzhong area except Tongchuan and Yan'an. According to resilience, the distribution of agricultural drought in Shaanxi had no obvious regularity, showing an order of: Yan'an>Weinan>Yulin>Xianyang>Xi'an>Tongchuan>Baoji>Hanzhong>Ankang>Shangluo. Finally, it is concluded that the improved TOPSIS modle could generally evaluate the agricultural drought vulnerability reasonablely, agreeing with the actual situation and thus providing a new method for other multi-attribute evaluation.