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      A scenario analysis-based optimal management of water resources supply and demand balance: A case study of Chengdu, China

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          Abstract

          Water resources scarcity has threatened the coordinative development of demographics, society and economy. As a typical rapidly urbanizing area and an emerging megacity in China, Chengdu is confronting the pressure of inadequate water supply. The present study divides the macroeconomic factors that affect the water resource supply and demand balance into six major subsystems: water resources supply, water demand, water drainage, population, ecological environment and economy. The combining variable interaction description and predictive simulation models are applied to simulate the water supply and demand ratio (S:D) from 2005 to 2035. Further, this study designs different development scenarios to simulate the change of S:D ratios by altering the parameter values of driving factors. The results show that: (1) the S:D ratio will decline if the current development scenario continues, implying the serious water resources shortage and the severe water supply-demand conflict in Chengdu; (2) socio-economic water demand and wastewater/rainwater reuse are the key driving parameters of S:D ratio, especially the water consumption per ten thousand yuan of industrial value-added; (3) the S:D ratio will increase from 0.92 in the current baseline scenario to 1.06 in the integrated optimization scenario in 2025, and the long-term planning brings 2035 from 0.71 to 1.03, with the proportion of unconventional water supply rise to 38% and 61%, respectively. This study can provide a decision-making tool for policy-makers to explore plausible policy scenarios necessary for bridging the gap between the water supply and demand in megacities.

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            Modeling regional sustainable development scenarios using the Urbanization and Eco-environment Coupler: Case study of Beijing-Tianjin-Hebei urban agglomeration, China

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              Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Investigation
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Software
                Role: ConceptualizationRole: InvestigationRole: Validation
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                16 May 2022
                2022
                : 17
                : 5
                : e0267920
                Affiliations
                [1 ] Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan Province, China
                [2 ] Chengdu Engineering Corporation Limited, Power China, Chengdu, Sichuan Province, China
                [3 ] Urban Water Environment Treatment Engineering Technology Research Center of Sichuan Province, Chengdu, Sichuan Province, China
                Shenzhen University, CHINA
                Author notes

                Competing Interests: The authors declare that they have no competing financial interest in this work.

                Author information
                https://orcid.org/0000-0002-5912-2550
                Article
                PONE-D-22-02154
                10.1371/journal.pone.0267920
                9109908
                35576216
                c0d2d4db-5f44-45b8-bfbe-02447168d5e8
                © 2022 Yu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 January 2022
                : 18 April 2022
                Page count
                Figures: 10, Tables: 5, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 42101315
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 41571520
                Award Recipient :
                Funded by: The Open Fund of Sichuan Province Cyclic Economy Research Center
                Award ID: XHJJ-2002
                Award Recipient :
                Funded by: The Open Fund of Sichuan Province Cyclic Economy Research Center
                Award ID: XHJJ-2005
                Award Recipient :
                Funded by: The Chengdu Soft Science Research Project
                Award ID: 2020-RK00-00240-ZF
                Award Recipient :
                Funded by: The Chengdu Soft Science Research Project
                Award ID: 2020-RK00-00246-ZF
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012226, Fundamental Research Funds for the Central Universities;
                Award ID: 2682021CX069
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100012226, Fundamental Research Funds for the Central Universities;
                Award ID: 2682021ZTPY088
                Award Recipient :
                Funded by: the Consulting research project of Chinese Academy of Engineering
                Award ID: Q113520S02003
                Award Recipient :
                Funded by: Sichuan Youth Science and Technology Innovation Team Funding
                Award ID: 2022JDTD0005
                Award Recipient :
                This research was funded by the National Natural Science Foundation of China through grants awarded to YY and RZ (No. 42101315; No. 41571520); the Open Fund of Sichuan Province Cyclic Economy Research Center through grants awarded to YY and RZ (No. XHJJ-2005; No. XHJJ-2002); the Chengdu Soft Science Research Project through grants awarded to YY and RZ (No. 2020-RK00-00240-ZF; No. 2020-RK00-00246-ZF); and the Fundamental Research Funds for the Central Universities through grants awarded to YY and RZ (No. 2682021CX069; No. 2682021ZTPY088). The Consulting research project of Chinese Academy of Engineering (No. Q113520S02003) and the Sichuan Youth Science and Technology Innovation Team Funding (No.2022JDTD0005) also awarded grants to RZ.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Natural Resources
                Water Resources
                Social Sciences
                Economics
                Economic Models
                Supply and Demand
                Biology and Life Sciences
                Agriculture
                Agricultural Methods
                Agricultural Irrigation
                Research and Analysis Methods
                Simulation and Modeling
                Ecology and Environmental Sciences
                Sustainability Science
                Earth Sciences
                Hydrology
                Surface Water
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Growth
                Ecology and Environmental Sciences
                Pollution
                Water Pollution
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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                Uncategorized

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