globalchange  > 气候变化事实与影响
DOI: 10.3390/e21040373
WOS记录号: WOS:000467312100045
论文题名:
Quantitative Assessment and Diagnosis for Regional Agricultural Drought Resilience Based on Set Pair Analysis and Connection Entropy
作者: Chen, Menglu1; Ning, Shaowei1; Cui, Yi2; Jin, Juliang1; Zhou, Yuliang1; Wu, Chengguo1
通讯作者: Cui, Yi
刊名: ENTROPY
ISSN: 1099-4300
出版年: 2019
卷: 21, 期:4
语种: 英语
英文关键词: regional agricultural drought resilience ; assessment and diagnosis ; vulnerability index ; connection entropy ; set pair potential ; Huaibei Plain
WOS关键词: CLIMATE-CHANGE IMPACTS ; WATER ; AFRICA ; DEMAND
WOS学科分类: Physics, Multidisciplinary
WOS研究方向: Physics
英文摘要:

Assessment and diagnosis of regional agricultural drought resilience (RADR) is an important groundwork to identify the shortcomings of regional agriculture to resist drought disasters accurately. In order to quantitatively assess the capacity of regional agriculture system to reduce losses from drought disasters under complex conditions and to identify vulnerability indexes, an assessment and diagnosis model for RADR was established. Firstly, this model used the improved fuzzy analytic hierarchy process to determine the index weights, then proposed an assessment method based on connection number and an improved connection entropy. Furthermore, the set pair potential based on subtraction was used to diagnose the vulnerability indexes. In addition, a practical application had been carried out in the region of the Huaibei Plain in Anhui Province. The evaluation results showed that the RADR in this area from 2005 to 2014 as a whole was in a relatively weak situation. However, the average grade values had decreased from 3.144 to 2.790 during these 10 years and the RADR had an enhanced tendency. Moreover, the possibility of RADR enhancement for six cities in this region decreased from east to west, and the drought emergency condition was the weak link of the RADR in the Huaibei Plain.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133303
Appears in Collections:气候变化事实与影响

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作者单位: 1.Hefei Univ Technol, Sch Civil Engn, Hefei 230009, Anhui, Peoples R China
2.Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300072, Peoples R China

Recommended Citation:
Chen, Menglu,Ning, Shaowei,Cui, Yi,et al. Quantitative Assessment and Diagnosis for Regional Agricultural Drought Resilience Based on Set Pair Analysis and Connection Entropy[J]. ENTROPY,2019-01-01,21(4)
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