Degree of Water Shortage in the Three Outlets of Southern Jingjiang River Calculated by Variable Weight Grey Correlation Method

DAI Wen, Lu Dian-qing, WANG Jin-feng,ZHANG Fu-zhu, TONG Shuang-mei

Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (6) : 17-23.

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Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (6) : 17-23. DOI: 10.11988/ckyyb.20160253
WATER RESOURCES AND ENVIRONMENT

Degree of Water Shortage in the Three Outlets of Southern Jingjiang River Calculated by Variable Weight Grey Correlation Method

  • DAI Wen1,2, Lu Dian-qing2, WANG Jin-feng1,ZHANG Fu-zhu3, TONG Shuang-mei1
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Abstract

The objective of the study is to analyze the water shortage in the three outlets of southern Jingjiang river and to provide scientific basis for the sustainable rational utilization of water resources in the region. The use of constant weight methods in previous studies resulted in state imbalance of evaluation indicators. In the present study, the variable weight theory is adopted to define the variable weight of evaluation indicators. Furthermore, in association with gray correlation method, the gray correlation model of water shortage is established and applied to evaluating the water shortage in the three outlets of southern Jingjiang river. The water resources in three outlets of Jingjiang river are all in small shortage, and the shortage degree in Huarong county is the largest, followed by Nanxian county and Anxiang county. The variable weight gray correlation method is feasible and reasonable in calculating water shortage degree, and it meets the requirements of a balanced evaluation.

Key words

variable weight / grey correlation / degree of water shortage / three outlets of Jingjiang River / balance of evaluation indicators

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DAI Wen, Lu Dian-qing, WANG Jin-feng,ZHANG Fu-zhu, TONG Shuang-mei. Degree of Water Shortage in the Three Outlets of Southern Jingjiang River Calculated by Variable Weight Grey Correlation Method[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(6): 17-23 https://doi.org/10.11988/ckyyb.20160253

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