Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method

To quantitatively evaluate and diagnose the carrying capacity of regional water resources under uncertain conditions, an index system and corresponding grade criteria were constructed from the perspective of carrying subsystem. Meanwhile, an improved entropy weight method was used to determine the o...

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Main Authors: Yi Cui, Ping Feng, Juliang Jin, Li Liu
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/5/359
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author Yi Cui
Ping Feng
Juliang Jin
Li Liu
author_facet Yi Cui
Ping Feng
Juliang Jin
Li Liu
author_sort Yi Cui
collection DOAJ
description To quantitatively evaluate and diagnose the carrying capacity of regional water resources under uncertain conditions, an index system and corresponding grade criteria were constructed from the perspective of carrying subsystem. Meanwhile, an improved entropy weight method was used to determine the objective weight of the index. Then, an evaluation model was built by applying set pair analysis, and a set pair potential based on subtraction was proposed to identify the carrying vulnerability factors. Finally, an empirical study was carried out in Anhui Province. The results showed that the consistency among objective weights of each index was considered, and the uncertainty between the index and grade criterion was reasonably dealt with. Furthermore, although the carrying situation in Anhui was severe, the development tended to be improved. The status in Southern Anhui was superior to that in the middle area, and that in the northern part was relatively grim. In addition, for Northern Anhui, the fewer water resources chiefly caused its long-term overloaded status. The improvement of capacity in the middle area was mainly hindered by its deficient ecological water consumption and limited water-saving irrigation area. Moreover, the long-term loadable condition in the southern part was due largely to its relatively abundant water resources and small population size. This evaluation and diagnosis method can be widely applied to carrying issues in other resources and environment fields.
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spelling doaj.art-944b5949fc33443da17a613b1e14c2072022-12-22T04:21:14ZengMDPI AGEntropy1099-43002018-05-0120535910.3390/e20050359e20050359Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight MethodYi Cui0Ping Feng1Juliang Jin2Li Liu3Stage Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaStage Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, ChinaSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, ChinaTo quantitatively evaluate and diagnose the carrying capacity of regional water resources under uncertain conditions, an index system and corresponding grade criteria were constructed from the perspective of carrying subsystem. Meanwhile, an improved entropy weight method was used to determine the objective weight of the index. Then, an evaluation model was built by applying set pair analysis, and a set pair potential based on subtraction was proposed to identify the carrying vulnerability factors. Finally, an empirical study was carried out in Anhui Province. The results showed that the consistency among objective weights of each index was considered, and the uncertainty between the index and grade criterion was reasonably dealt with. Furthermore, although the carrying situation in Anhui was severe, the development tended to be improved. The status in Southern Anhui was superior to that in the middle area, and that in the northern part was relatively grim. In addition, for Northern Anhui, the fewer water resources chiefly caused its long-term overloaded status. The improvement of capacity in the middle area was mainly hindered by its deficient ecological water consumption and limited water-saving irrigation area. Moreover, the long-term loadable condition in the southern part was due largely to its relatively abundant water resources and small population size. This evaluation and diagnosis method can be widely applied to carrying issues in other resources and environment fields.http://www.mdpi.com/1099-4300/20/5/359water resources carrying capacityevaluation and diagnosisvulnerability indexinformation entropyset pair analysisset pair potentialindex weight
spellingShingle Yi Cui
Ping Feng
Juliang Jin
Li Liu
Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method
Entropy
water resources carrying capacity
evaluation and diagnosis
vulnerability index
information entropy
set pair analysis
set pair potential
index weight
title Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method
title_full Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method
title_fullStr Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method
title_full_unstemmed Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method
title_short Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method
title_sort water resources carrying capacity evaluation and diagnosis based on set pair analysis and improved the entropy weight method
topic water resources carrying capacity
evaluation and diagnosis
vulnerability index
information entropy
set pair analysis
set pair potential
index weight
url http://www.mdpi.com/1099-4300/20/5/359
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AT pingfeng waterresourcescarryingcapacityevaluationanddiagnosisbasedonsetpairanalysisandimprovedtheentropyweightmethod
AT juliangjin waterresourcescarryingcapacityevaluationanddiagnosisbasedonsetpairanalysisandimprovedtheentropyweightmethod
AT liliu waterresourcescarryingcapacityevaluationanddiagnosisbasedonsetpairanalysisandimprovedtheentropyweightmethod