{"title":"Exploiting temporal features in water resource carrying capacity assessment based on extended VIKOR","authors":"","doi":"10.1016/j.scs.2024.105801","DOIUrl":null,"url":null,"abstract":"<div><p>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 <em>v</em> 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.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724006255","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;