Literature DB >> 30290309

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

Zhaoyang Yang1, Jinxi Song2, Dandong Cheng3, Jun Xia1, Qi Li1, Muhammad Irfan Ahamad1.   

Abstract

The quantity and quality of water resources are of great importance in maintaining urban socio-economic development. Accordingly, substantial research has been conducted on the concept of the water resources carrying capacity (WRCC). In this study, analytic hierarchy process (AHP) and system dynamics (SD) models were combined to construct a multi-criteria evaluation system of the WRCC and a socio-economic/water resources SD model for Xi'an. The developmental trends of the society, economy, water supply/demand, and wastewater discharge were obtained from 2015 to 2020 using five scenarios designed for distinct purposes; these scenarios and trends were comprehensively evaluated using a combination of qualitative and quantitative analyses. The results indicated that the WRCC (0.32 in 2020) in Xi'an will shift from a normal to a poor state if the current social development pattern is maintained; therefore, we conclude that the socio-economic development of Xi'an is unsustainable. However, under a comprehensive scheme, the WRCC index (0.64 in 2020) will increase by 48% compared with the WRCC index under a business-as-usual scenario. Further, some practical suggestions, including the promotion of industrial reforms and the improvement of water-use efficiency and recycling policies, were provided for improving the regional WRCC.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Analytic hierarchy process; SD model; Scenario analysis; Water management; Water resources carrying capacity

Mesh:

Year:  2018        PMID: 30290309     DOI: 10.1016/j.jenvman.2018.09.085

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  9 in total

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Journal:  Int J Environ Res Public Health       Date:  2021-12-09       Impact factor: 3.390

  9 in total

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