| Assessment of agricultural drought vulnerability and identification of influencing factors based on the entropy weight method |
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| DOI：10.7606/j.issn.1000-7601.2016.03.32 |
| Key Words: agriculture drought vulnerability Shaanxi Province spatial difference contribution degree |
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| Abstract: |
| 10 cities in Shaanxi were selected as the research objects to evaluate the agriculture drought vulnerability in Shaanxi by 14 indicators through two points on the drought sensibility and resilience in agriculture. Entropy-value method and contribution model were adopted to assess the agriculture drought vulnerability and main contribution factors of the 10 cities in Shaanxi according to water resource, meteorology and social economy statistical data. The results showed that the agriculture drought vulnerability levels of Hanzhong, Ankang and Shangluo in southern Shaanxi were higher than others, reaching to 0.7128, 0.7110 and 0.5897, while the agriculture drought vulnerability levels of 7 other cities in Guanzhong and northern Shaanxi were medium. In addition, the spatial difference of agriculture drought vulnerability was not based on the social economy development level and land climate conditions in Shaanxi. The sensitivity was highest in Ankang (0.4238), lower in Guanzhong and northern Shaanxi, and lowest in Baoji (0.2123). The resilience level was lowest in southern Shaanxi, and few differences were found in Guanzhong and northern Shaanxi, while highest in Xianyang (0.0992), Weinan (0.1301) and Yulin (0.1554). For the impact factors, the main impact factor of Xi’an, Xianyang and Weinan was the population density with contribution degrees of 27.11%, 15.11% and 14.18%, respectively. The main impact factor of Ankang, Hanzhong and Shangluo was the dryland area proportion with contribution degrees of 29.36%, 17.20% and 18.38%, respectively. The main impact factor of Yan’an and Yulin was the dryland area proportion (contribution degrees of 32.18% and 29.36%) and the rate of irrigation (17.24% and 17.24%). The main impact factor of Tongchuan was the rate of irrigation with a contribution degree of 16.49%，and the main impact factor of Baoji was the rate of reservoir pondage with a contribution degree of 10.76%. Finally, this paper put forward measures of agriculture drought vulnerability controls in different cities based on the evaluation results. |
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