Exploiting temporal features in water resource carrying capacity assessment based on extended VIKOR

• A novel integrated model framework is proposed to evaluate WRCC . • It can grasp the dynamic changes and development trends of WRCC status. • It can identify the factors that affect the improvement of regional WRCC. • The results provide guidance for the formulation of regional sustainable development strategies. Investigation of water resources carrying capacity (WRCC) is very important to promote regional high-quality development. However, existing WRCC assessment models overlook the dynamic changes over time, limiting their practical application. This study constructs 15 evaluation index systems, and proposes a time-varying multi-criteria decision-making (MCDM) framework for regional WRCC evaluation, incorporating an obstacle degree model to identify key hindrances. The applicability of the proposed framework is verified by using the Nine Cities of the Pearl River Delta (NCPD) as a typical research area. The findings indicate that: (1) The proposed framework expands the capabilities of existing methods and provides a potential method to grasp the dynamic changes and directions of results over time; (2) The distribution of WRCC in the research region exhibits a pattern of low in the central and high around; (3) Per capita water resources, total water supply, and ecological water use rate are key elements influencing WRCC improvement, with obstacle frequencies over 0.8. Additionally, when the decision-making mechanism coefficient v is [0.3,0.8], the highest status of Zhuahi's WRCC is guaranteed. This work gives a fresh perspective for grasping the temporal dynamic changes of regional WRCC and provides a scientific reference for decision makers to formulate relevant plans.

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Publication Details

Journal
Sustainable Cities and Society
Published
2024-09-06
DOI
https://doi.org/10.1016/j.scs.2024.105801
Citations
22
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
4.44

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article

Exploiting temporal features in water resource carrying capacity assessment based on extended VIKOR

Xi Yang, Zhihe Chen
22 citations
Sustainable Cities and Society
Water Quality Monitoring Technologies
4.44
article

Exploiting temporal features in water resource carrying capacity assessment based on extended VIKOR

Xi Yang, Zhihe Chen
article en
22 citations

Abstract

• A novel integrated model framework is proposed to evaluate WRCC . • It can grasp the dynamic changes and development trends of WRCC status. • It can identify the factors that affect the improvement of regional WRCC. • The results provide guidance for the formulation of regional sustainable development strategies. Investigation of water resources carrying capacity (WRCC) is very important to promote regional high-quality development. However, existing WRCC assessment models overlook the dynamic changes over time, limiting their practical application. This study constructs 15 evaluation index systems, and proposes a time-varying multi-criteria decision-making (MCDM) framework for regional WRCC evaluation, incorporating an obstacle degree model to identify key hindrances. The applicability of the proposed framework is verified by using the Nine Cities of the Pearl River Delta (NCPD) as a typical research area. The findings indicate that: (1) The proposed framework expands the capabilities of existing methods and provides a potential method to grasp the dynamic changes and directions of results over time; (2) The distribution of WRCC in the research region exhibits a pattern of low in the central and high around; (3) Per capita water resources, total water supply, and ecological water use rate are key elements influencing WRCC improvement, with obstacle frequencies over 0.8. Additionally, when the decision-making mechanism coefficient v is [0.3,0.8], the highest status of Zhuahi's WRCC is guaranteed. This work gives a fresh perspective for grasping the temporal dynamic changes of regional WRCC and provides a scientific reference for decision makers to formulate relevant plans.

Sustainable Cities and SocietyVol. 114
Sun Yat-sen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 5%
Water Quality Monitoring Technologies
4.44
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