Agricultural drought vulnerability assessment and diagnosis based on entropy fuzzy pattern recognition and subtraction set pair potential

Zhou, Rongxing; Jin, Juliang; Yi, Chuixiang; Ning, Shaowei; Bai, Xia; Zhang, Libing; Zhou, Yuliang; Wu, Chengguo; Tong, Fang

doi:10.1016/j.aej.2021.04.090

Cited by 25 publications

(11 citation statements)

References 20 publications

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“…In addition, the weight vector corresponding to different indicators was also determined through the Accelerating Genetic Algorithm-Fuzzy Analytical Hierarchy Process (AGA-FAHP) method, and the detailed calculation procedures of AGA-FAHP can be referred from reference [32]. Set Pair Analysis (SPA), proposed by Chinese scholar K. Q. Zhao in 1989, was a quantitative analysis method to describe the transforming characteristics from uncertainty to certainties of complex system [33,34]. Set pair is defined as two set with certain connection attributes, then any two elements within the system can be regarded as set pair from the perspective of systematic science [15,33].…”

Section: Evaluation Index System Of Wsee Systemmentioning

confidence: 99%

Structure Simulation and Equilibrium Evaluation Analysis of Regional Water Resources, Society, Economy and Ecological Environment Complex System

Wang

Jin

et al. 2023

Entropy

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Currently, the implementation of water resource spatial equilibrium strategy is a fundamental policy of water resource integrated management in China; it is also a considerable challenge to explore the relationship structure features of water resources, society, economy and ecological environment (WSEE) complex system. For this purpose, firstly, we applied information entropy, ordered degree and connection number coupling method to reveal the membership characteristics between different evaluation indicators and grade criterion. Secondly, the system dynamics approach was introduced to describe the relationship features among different equilibrium subsystems. Finally, the ordered degree, connection number, information entropy and system dynamics integrated model was established to conduct relationship structure simulation and evolution trend evaluation of the WSEE system. The application results in Hefei city, Anhui Province, China, demonstrated that: (1) the variation of overall equilibrium conditions of WSEE system in Hefei city, 2020–2029 was higher compared to that of 2010–2019, though the increasing rate of ordered degree and connection number entropy (ODCNE) became slower after 2019; and (2) the annual ODCNE value from 2020 to 2029 of WSEE system under dry year scenarios increased about 0.0812, which indicated that the construction of Yangtze-Huaihe Diversion (YHD) project could play significant positive role in mitigating the equilibrium situation of WSEE system in Hefei city in the future. On the whole, this study is capable of providing the guidance basis for constructing a theoretical framework of structure simulation and equilibrium evaluation analysis of WSEE complex system.

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Section: Evaluation Index System Of Wsee Systemmentioning

confidence: 99%

Structure Simulation and Equilibrium Evaluation Analysis of Regional Water Resources, Society, Economy and Ecological Environment Complex System

Wang

Jin

et al. 2023

Entropy

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“…To compare with the connection number value u, the evaluation grade value h i of sample i was calculated using the level eigenvalue method (Zhou et al, 2022) in Eq. 14. h was also divided into three levels according to the critical values of evaluation index grade criteria, which corresponded to water resources overloaded status h∈(2.5, 3.0], critical overloaded status h∈[1.5, 2.5], and loadable status h∈[1.0, 1.5), respectively.…”

Section: Evaluation and Diagnosis Model Of Wrcc Based On Dynamic Diff...mentioning

confidence: 99%

“…For comparison with the connection number value u, the set pair potential of connection number for evaluation index was used to diagnose the obstacle factors of WRCC. According to SPA, set pair potential reflected the overall development trend of set pair at the macro level (Zhao, 2000;Zhou et al, 2022). To quantitatively describe this trend, Cui et al (2018) constructed the subtraction set pair potential s 1 (u) of the ternary connection number in Eq.…”

Section: Evaluation and Diagnosis Model Of Wrcc Based On Dynamic Diff...mentioning

confidence: 99%

Quantitative Evaluation and Diagnosis of Water Resources Carrying Capacity (WRCC) Based on Dynamic Difference Degree Coefficient in the Yellow River Irrigation District

Zhou

Jin

et al. 2022

Front. Earth Sci.

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In order to effectively deal with the uncertainty between evaluation samples and evaluation criteria, and quantitatively identify the water resources carrying capacity (WRCC) and its obstacle factors in the Yellow River irrigation district, a calculation method of dynamic difference degree coefficient varying with evaluation sample was proposed, and then an evaluation and diagnosis model of WRCC was established. The results applied to the Dagong irrigation district showed that the overall WRCC of five counties in the irrigation district were improved from 2010 to 2017, especially since 2013. The improvement magnitudes of Changyuan County, Fengqiu County, and Hua County were significantly higher than those of Xun County and Neihuang County. In 2017, Fengqiu County, Changyuan County, Hua County, Xun County, and Neihuang County were in water resources critical overloaded status, and the connection number values were 0.231, 0.163, 0.120, −0.293, and −0.331, respectively, which is consistent with the fact that their distances become farther from the main stream of the Yellow River. In addition, the utilization ratio of water resources, available water resources amount per capita, GDP per capita, and water deficient ratio in each county belonged to the middle or strong obstacle index over a long period of time. They were the crucial obstacle factors of WRCC in the Dagong irrigation district, as well as the core and difficult points of water resources management. In some counties, the effective irrigation area ratio, effective utilization coefficient of irrigation water, and water consumption ratio of the ecological environment gradually developed from strong obstacle to weak or strong promotion index. These were important reasons for the improvement of their carrying situation, reflecting their control of agricultural and ecological water consumption. In short, the results of the case study suggest that the model established in this study is conducive to the identification of water resources’ carrying status and its key obstacle factors in the Yellow River irrigation district, and can be applied to the evaluation and regulation of resources and environment carrying capacity.

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“…Zhang et al [24] used a fuzzy variable set model for a comprehensive assessment of agricultural drought risk in Liaoning Province, China, starting from the direction of hazard, exposure, vulnerability, and drought resilience. Zhou et al [25] combined the entropy principle and fuzzy pattern recognition method to analyze agricultural drought vulnerability in Bengbu, China. Ma et al [26] conducted a comprehensive risk assessment of high-temperature disaster in kiwifruit in Shaanxi Province based on natural disaster system theory.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Yong

Guga

et al. 2022

Agriculture

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The negative impact of high-temperature disaster on agricultural production is becoming more and more serious, and reducing the vulnerability to high-temperature disaster is fundamental to achieving sustainable agricultural development. This study is mainly focused on the vulnerability to agricultural high-temperature disaster in Shaanxi Province, China. Firstly, 15 indicators were selected from the perspectives of exposure, sensitivity, and adaptability. Secondly, the combined weighting method (Critic-G1 model) was used to determine the weight of each index. Based on the aforementioned procedures, the Kullback–Leibler (KL)-distance-improved TOPSIS model was utilized to evaluate the vulnerability. Lastly, the obstacle model was used to analyze the influencing factors and to make recommendations for disaster prevention and mitigation. The results show that: (1) The improved TOPSIS model was closer to the results of the synthetical index method. (2) The northern and southern area of Shaanxi is more vulnerable to high-temperature disaster, especially in Ankang and Tongchuan. Low values are distributed in the Guanzhong Plain. (3) Sensitivity is the biggest obstacle to reducing the vulnerability to high-temperature disaster. Among the influencing factors, the meteorological yield reduction coefficient of variation, multiple cropping index and per capita net income of rural residents of the obstacle are high. Decreasing sensitivity should be accompanied by increasing adaptability to improve regional disaster preparedness and mitigation. The results of this study can provide a basis for the development of agricultural high-temperature disaster mitigation and loss reduction strategies and provide new ideas for future research.

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Agricultural drought vulnerability assessment and diagnosis based on entropy fuzzy pattern recognition and subtraction set pair potential

Cited by 25 publications

References 20 publications

Structure Simulation and Equilibrium Evaluation Analysis of Regional Water Resources, Society, Economy and Ecological Environment Complex System

Structure Simulation and Equilibrium Evaluation Analysis of Regional Water Resources, Society, Economy and Ecological Environment Complex System

Quantitative Evaluation and Diagnosis of Water Resources Carrying Capacity (WRCC) Based on Dynamic Difference Degree Coefficient in the Yellow River Irrigation District

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

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