2023
DOI: 10.1038/s41598-023-40487-w
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Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province

Lyu Yan,
Dong Jiao,
Zhan Yongshi

Abstract: Water security is not only an ecological environmental issue but also a bearing on national security and development. The study of water resources carrying capacity is the basis for future socioeconomic development and is the driving force for social progress. Therefore, it is important to investigate the influence factors of regional and national water resources carrying capacity (WRCC) and predict the future trend development. In view of the regional water resources data of the past 10 years in Anhui provinc… Show more

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Cited by 10 publications
(4 citation statements)
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“…Meriem Naimi Ait-Aoudia(Ait-Aoudia & Berezowska-Azzag, 2016) conducted an assessment of WRCC to analyze the balance between domestic demand and water supply.In order to assess the WRCC of specific regions, the assessment factors were determined by evaluating the relevant factors of water usage and availability. The concept framework for assessing the capacity of water resource was developed derived from the supply-demand relationship.Lyu Yan and others, focused on the previous decade's regional water resource data of Anhui Province in China (Yan, Jiao, & Yongshi, 2023).They constructed a framework for the Driving Force-Pressure-State-Impact-Response Management (DPSIRM) model and conducted a comprehensive evaluation of WRCC using the entropy weight method and variable weight theory. Based on the derived comprehensive evaluation values and incorporating the modified Gray-Markov combined forecasting, they made predictions for the the coming years about the local WRCC.Chang Zhengqian, in 2020, discussed the concept and research methods of regional WRCC (Zhenggan, 2020).…”
Section: Overview Of Water Resource Ecological Securitymentioning
confidence: 99%
“…Meriem Naimi Ait-Aoudia(Ait-Aoudia & Berezowska-Azzag, 2016) conducted an assessment of WRCC to analyze the balance between domestic demand and water supply.In order to assess the WRCC of specific regions, the assessment factors were determined by evaluating the relevant factors of water usage and availability. The concept framework for assessing the capacity of water resource was developed derived from the supply-demand relationship.Lyu Yan and others, focused on the previous decade's regional water resource data of Anhui Province in China (Yan, Jiao, & Yongshi, 2023).They constructed a framework for the Driving Force-Pressure-State-Impact-Response Management (DPSIRM) model and conducted a comprehensive evaluation of WRCC using the entropy weight method and variable weight theory. Based on the derived comprehensive evaluation values and incorporating the modified Gray-Markov combined forecasting, they made predictions for the the coming years about the local WRCC.Chang Zhengqian, in 2020, discussed the concept and research methods of regional WRCC (Zhenggan, 2020).…”
Section: Overview Of Water Resource Ecological Securitymentioning
confidence: 99%
“…The sustainable management and assessment of water resources have become critical issues in the progress of urbanization (Yan et al, 2023), and the assessment of WRCC has been repeatedly conducted to provide scientific suggestions for water resource management and sustainable development (Anamaghi et al, 2023;Zhou et al, 2023). The WRCC results could provide a reference for setting sustainable development goals, including population scale and economic criteria, and provide a basis for formulating appropriate improved water resource utilization and protection strategies.…”
Section: Enabling the Design Of Policymentioning
confidence: 99%
“…Conflicts over water resources between humans and nature continuously increase in China as rapid economic growth and social development continue (Wang, Kai, et al, 2023;Yan et al, 2023), attracting researchers' attention. Discharge of water pollutants and exploitation of water resources pose a daunting challenge to the sustainable development of the economy and society (Jia et al, 2018;Jiang, 2009).…”
mentioning
confidence: 99%
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