scholarly journals A novel system of indicators for evaluating system resilience of regional agricultural water resources

2017 ◽  
Vol 18 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Dong Liu ◽  
Yang Ding ◽  
Qiang Fu ◽  
Dan Zhao ◽  
Muhammad Imran Khan ◽  
...  
Keyword(s):  
Water Resources ◽  
Index System ◽  
Structural Characteristics ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Agricultural Water ◽  
Water Resource System ◽  
Jiansanjiang Administration ◽  
Agricultural Water Resources ◽  
Key Indicators

Abstract Constructing a reasonable evaluation index system is important for characterizing water and land resources and for ecological restoration. To solve random and incomplete problems using a traditional evaluation index system, a novel model for evaluating regional agricultural water resources using a resilience index system was proposed. In addition, a new method for an evaluation index system and the filtering of key indicators were investigated. Based on the structural characteristics of a regional agricultural water resource system (AWRS), the model for an evaluation index system was built by constructing a hierarchical indicator architecture using a hierarchical framework model. The index weight was calculated using criteria importance through intercriteria correlation (CRITIC). Then, index completeness was ensured using principal component analysis, and the reliability of the results was tested using the analytic hierarchy process. The model was applied to the Jiansanjiang Administration of Agricultural Reclamation in Heilongjiang, China. The main results included the following: (1) the index was optimized from 46 to 32, which identified the key indicators that affect the resilience of the Jiansanjiang Administration AWRS, and (2) an evaluation index system was constructed with a completeness of 85.6%. The results of this study provide an important and practical model for studying the resilience of related resources and environmental fields.

Construction of Water Resources Utilization Efficiency Evaluation Index System Based on Cloud Model

2013 ◽  
Vol 864-867 ◽  
pp. 2249-2256
Author(s):  
Xin Jian Guan ◽  
Yu Meng ◽  
Ze Ning Wu
Keyword(s):  
Water Resources ◽  
Index System ◽  
Cloud Model ◽  
Qualitative Evaluation ◽  
Evaluation Index System ◽  
Utilization Efficiency ◽  
Evaluation Index ◽  
Index Set ◽  
Quantitative Score ◽  
Water Resources Utilization

This paper presents a method for selecting indexes based on cloud model. The natural language qualitative evaluation of water resources utilization efficiency (WRUE) indexes from several experts were converted into quantitative score values. The randomness and fuzziness of conversion process could be fully reflected. Based on the basic index set of WRUE and fifty experts` comments, cloud model was used to calculate each index`s value. Finally, eight indexes covering overall, agricultural, industrial and living industry were selected to construct the evaluation index system. Cloud model is convenient, objective, and the calculation process is simple. The construction of evaluation index system lays a good foundation for the evaluation of WURE.

Comprehensive Evaluation on Exploitation and Utilization of Water Resources Based on Improved Fuzzy Pattern Recognition Model

2013 ◽  
Vol 361-363 ◽  
pp. 1036-1041
Author(s):  
Hua Wei Chen ◽  
Ming Yuan Fan ◽  
Ji Wen Huang ◽  
Xin Zhang ◽  
Hai Jiao Liu ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Water Resources ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ecological Environment ◽  
Fuzzy Pattern Recognition ◽  
Exploitation And Utilization ◽  
Fuzzy Pattern

Through identifying the exploitation and utilization of water resources system, this paper establishes an improved fuzzy pattern recognition model by combining fuzzy matter-element model with the improved entropy evaluation method and sets up the comprehensive evaluation index system which includes 3 layers and 10 indicators from two aspects: water utilization efficiency and water ecological environment. The proposed model and evaluation index system are applied to evaluate the comprehensive exploitation-utilization grade in Shandong Province. Results show that the exploitation-utilization of water resources and water ecological environment are not balanced in Shandong province, this indicates that the growth of ecological benefits and the protection of water ecological environment are ignored in the process of water resources exploitation-utilization.

scholarly journals Evaluation Index System for Agricultural Water Management in Targeted Poverty Alleviation Based on 3E Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yingfeng Chen ◽  
Shuyang Zhu ◽  
Ming Fan
Keyword(s):  
Water Management ◽  
Index System ◽  
Poverty Alleviation ◽  
Evaluation System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Agricultural Water ◽  
Agricultural Water Management ◽  
And Performance

Agricultural water management provides the basic support and guarantee for targeted poverty alleviation. This paper presents a 3E + 1 evaluation model for the performance of agricultural water management in targeted poverty alleviation based on 3E theory, which is more scientific, reasonable, and reliable. On this basis, an evaluation index system including three levels of indicators is designed, and the weight of each evaluation index and performance evaluation model is determined. A case study of a county in the old district of Maoshan in Jiangsu province was conducted using the proposed evaluation theory and methods. The results show that the overall performance of agricultural water management for targeted poverty alleviation in this area was good but needs more improvement in innovation. The evaluation results are roughly consistent with the evaluations of higher authorities, experts, and scholars, which proves that the evaluation system is scientific and reasonable.

Research on Water Resources Vulnerability Evaluation Model Based on Extension Theory

2013 ◽  
Vol 726-731 ◽  
pp. 4123-4130
Author(s):  
Hai Jiao Liu ◽  
Yu Zhi Shi ◽  
Ming Yuan Fan ◽  
Ji Wen Huang ◽  
Hua Wei Chen ◽  
...  
Keyword(s):  
Water Resources ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Vulnerability Evaluation ◽  
Efficient Performance ◽  
Proposed Model ◽  
Water Resources Vulnerability

Water resources vulnerability evaluation has important significance to guide the water resources management and water ecological environment protection. This paper builds the water resources vulnerability evaluation index system from three aspects of natural, human and bearing capacity and integrates matter-element theory with entropy weight to construct the matter-element extension evaluation model of water resources vulnerability. The area of Shandong Province is selected for study, and the proposed model and evaluation index system are applied to respectively evaluates the water resources vulnerability of each city, the results show that the proposed model has a efficient performance, and water resources vulnerability evaluated is higher in whole study area and varies significantly in space, moreover, the northwestern cities are higher, on the contrary, the southeastern cities are lower.

Study on evaluation index system of sustainable development of mine water resources based on PSO-AHP model and fuzzy comprehensive evaluation

2021 ◽  
pp. 1-12
Author(s):  
Xiaomin Liu ◽  
Haiyan Liu ◽  
Zheng Wan ◽  
Lifei Wang ◽  
Qiong Chen
Keyword(s):  
Water Resources ◽  
Index System ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ecological Environment ◽  
Ahp Model ◽  
The Impact

Water resources is an important basic energy. The determination of weights is one of the important indexes in water resources evaluation system and reasonable allocation of weights is the key to quantitative evaluation. In order to establish a scientific evaluation index system of the influence of mining disturbance on water resources for purpose of a more reliable and effective evaluation result and realizing the protection of water resources system, a comprehensive evaluation system of water resources based on PSO-AHP model is proposed in the paper. Combined with the specific geological environment characteristics of mines, this paper establishes a four-level evaluation index system after identifying the factors affecting water resources and ecological environment. By applying the particle swarm optimization (PSO) to the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, a PSO-AHP model and then a fitness function are constructed to solve and optimize the weight values in the evaluation index system, and the calculated weight values are checked by consistency checking method. The evaluation results suggest that the index system can accurately reflect the impact of mining on water resources and water ecological environment and etc., providing certain reference value for sewage resourcing and reducing the harmful effect on environment by sewage discharge.

Identification of resilience characteristics of a regional agricultural water resources system based on index optimization and improved support vector machine

2019 ◽  
Vol 19 (7) ◽  
pp. 1899-1910 ◽  
Author(s):  
Dong Liu ◽  
Lei Xu ◽  
Qiang Fu ◽  
Mo Li ◽  
Muhammad Abrar Faiz
Keyword(s):  
Support Vector Machine ◽  
Water Resources ◽  
Indicator System ◽  
Evaluation Index System ◽  
Practical Significance ◽  
Support Vector ◽  
Agricultural Water ◽  
Water Resources System ◽  
Agricultural Water Resources ◽  
Improved Support Vector Machine

Abstract In order to solve the gap and accuracy in the analytical methods of the resilience of a regional agricultural water resources system, a suitable evaluation index system based on the optimal index model was introduced and applied to the 15 farms in the Jiansanjiang Administration of Heilongjiang Province of China. An improved support vector machine (SVM) was used to analyze the resilience level of each farm for the selected time period. The test results showed that the indicator optimization model had the advantage of eliminating redundant indicators and ensuring the maximum content of screening indicators. The indicator system reflected all original information by 34% of initial indicators. The results showed that the particle swarm optimization-support vector machine (PSO-SVM) model had higher accuracy for the evaluation of agricultural water resource resilience through the analysis of stability and reliability of each model. The spatial pattern of resilience over selected farms was generally characterized by ‘low in the southwest and high in the northeast’. The research achievements may provide technical and theoretical support for solving problems of index optimization and analysis methods of system resilience, and have an important theoretical and practical significance for promoting the sustainable development of regional agricultural water resources systems.

scholarly journals Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China

Entropy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 14 ◽  
Author(s):  
Yan Chen ◽  
Yazhong Feng ◽  
Fan Zhang ◽  
Lei Wang
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Rough Set ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Huai River Basin ◽  
Huai River ◽  
Water Resources Vulnerability ◽  
The Huai River Basin

Assessing water resources vulnerability is the foundation of local water resources management. However, as one of the major water systems in China, there is no existing evaluation index system that can effectively assess water resource vulnerability for the Huai River basin. To address this issue, we identified key vulnerability factors, constructed an evaluation index system, and applied such system to evaluate water resources vulnerability for the Huai River basin empirically in this paper. Specifically, our evaluation index system consists of 18 indexes selected from three different aspects: water shortage, water pollution, and water-related natural disaster. Then, the improved blind deletion rough set method was used to reduce the size of the evaluation index while keep the evaluation power. In addition, the improved conditional information entropy rough set method was employed to calculate the weights of evaluation indexes. Based on the reduced index system and calculated weights, a rough set cloud model was applied to carry out the vulnerability evaluation. The empirical results show that the Huai River basin water resources were under severe vulnerability conditions for most of the time between 2000 and 2016, and the Most Stringent Water Resources Management System (MS-WRMS) established in 2012 did not work effectively as expected.

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