Literature DB >> 33905937

Can the water-saving potential of industrial sectors be quantified? An empirical approach applied on chemical and steel industries of Tianjin and Zhejiang provinces, China.

Pei-Yong Yu1, Chong-Mao Li2.   

Abstract

Although there has been increasing research on water saving in China's industrial sector, with the proposal of different methods and enriching perspectives, not much has been studied about the sector's water-saving potential (WSP), especially in terms of a quantitative analysis. In this paper, a quantitative WSP model is proposed based on (a) economic costs minimization, (b) diffusion of water-saving technologies, (c) progressive water price policies, and (d) data availability. To transform exogenous variables into endogenous ones, we assumed technology depreciation and designed a water trading mechanism in a policy-limited scenario. By analysing the data of 2015, the WSP of chemical and steel industries in Tianjin was estimated as 16.128 MCM and 1.914 MCM with technology penetration and strict progressive water prices, while the WSP in Zhejiang province was estimated as 17.541 MCM and 3.108 MCM with the same level of technology penetration. This study could be a reference point for further research on evaluation of WSP of other industrial sectors and guide governments in drafting water-saving policies.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cost minimization modelling; Industrial water saving potential; Quantitative research; Regional water consumption

Year:  2021        PMID: 33905937     DOI: 10.1016/j.scitotenv.2021.147023

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Synergic Benefits of Air Pollutant Reduction, CO2 Emission Abatement, and Water Saving under the Goal of Achieving Carbon Emission Peak: The Case of Tangshan City, China.

Authors:  Rupu Yang; Min Wang; Mengxue Zhao; Xiangzhao Feng
Journal:  Int J Environ Res Public Health       Date:  2022-06-10       Impact factor: 4.614

  1 in total

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