Literature DB >> 28034421

A system dynamics urban water management model for Macau, China.

Tong Wei1, Inchio Lou2, Zhifeng Yang3, Yingxia Li4.   

Abstract

Urban water resources have been facing significant pressure from population growth, urbanization, and climate change. A system dynamics urban water management model was proposed to simulate the dynamic interactions between urban water demands and society, economy, climate, and water conservation. The residents' water conservation willingness was incorporated in the model and water-saving effects were quantified. The simulation results for Macau showed that population size was the main driving force for urban water demand. The change of temperature and precipitation has obvious effects on the landscape water demand. The water demand output is sensitive to the change in population, per capita demand, and temperature. Increased precipitation will reduce urban water demand and increased economic growth will increase water demand. By implementing integrated water conservation measures and improved water conservation willingness, water demand could be reduced by 17.5%.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Macau; System dynamics; Water conservation willingness; Water demand

Mesh:

Year:  2016        PMID: 28034421     DOI: 10.1016/j.jes.2016.06.034

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  4 in total

1.  Forecasting the Water Demand in Chongqing, China Using a Grey Prediction Model and Recommendations for the Sustainable Development of Urban Water Consumption.

Authors:  Hua'an Wu; Bo Zeng; Meng Zhou
Journal:  Int J Environ Res Public Health       Date:  2017-11-15       Impact factor: 3.390

2.  Scenario Modeling of Urbanization Development and Water Scarcity Based on System Dynamics: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China.

Authors:  Chao Bao; Dongmei He
Journal:  Int J Environ Res Public Health       Date:  2019-10-11       Impact factor: 3.390

3.  Development of a dynamic water budget model for Abu Dhabi Emirate, UAE.

Authors:  Mohamed I Kizhisseri; Mohamed M Mohamed; Walid El-Shorbagy; Rezaul Chowdhury; Adrian McDonald
Journal:  PLoS One       Date:  2021-01-27       Impact factor: 3.240

4.  The water supply association analysis method in Shenzhen based on kmeans clustering discretization and apriori algorithm.

Authors:  Xin Liu; Xuefeng Sang; Jiaxuan Chang; Yang Zheng; Yuping Han
Journal:  PLoS One       Date:  2021-08-05       Impact factor: 3.240

  4 in total

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