Literature DB >> 30968293

A dualistic water cycle system dynamic model for sustainable water resource management through progressive operational scenario analysis.

Jiayu Peng1,2, Shaoyong Lu2, Yimei Cao3, Xing Wang2, Xiaozhen Hu2, Minghao Wang2,4, Binghui Zheng5.   

Abstract

A reliable system simulation of the reciprocal mechanism between water resource utilization and dualistic water cycle is essential to the basin water resource sustainability management. In this study, a system dynamic model was built to simulate the water cycle change and lake water environmental pressure under the influence of water resources utilization, and the procedure of a progressive operational scenario analysis of how to relieve water environment pressure was illustrated. Dianchi Lake, which is the sixth largest and the most severely polluted freshwater lake in China, was employed as a case study to demonstrate the applicability of the model. The change of runoff components and pollution load of total nitrogen from 2000 to 2030 were discussed. Also, the sustainable water resource management was ultimately realized in the planning period through three progressive levels of water resource regulation scenarios. Compared with business-as-usual scenario, the TN pollution load into lake and total water demand decrease by 27.1 and 27.3%, and the domestic water use, industry water use, tertiary industry water use, and irrigation decrease 9.0, 16.8, 29.5, and 30% in the scenario 3.

Entities:  

Keywords:  Dianchi Lake Basin; Dualistic water cycle system; Progressive operational scenario analysis; Sustainable water resource management; System dynamic model

Mesh:

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Year:  2019        PMID: 30968293     DOI: 10.1007/s11356-019-04565-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

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

Authors:  Yang Yu; Tianyu Zhou; Rui Zhao; Zhanglong Li; Chao Shen
Journal:  PLoS One       Date:  2022-05-16       Impact factor: 3.752

  1 in total

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