Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China

Persistent dilemma of water resource is one of the most challenging environmental issues worldwide. The shortage of water quantity fundamentally restricts the sustainable development of the economy and society, and the deterioration of water quality further aggravates the shortage of water quantity. The water metabolic mechanism depicts how material elements interact and operate during the inflow and outflow of water resources and pollutants in regional water system contexts, so exploring it from the perspective of dual control of quantity and quality provides a new view for identifying efficient management pathways. Thus, the objective of this study is to predict and analyze the metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control. In detail, the prediction of water metabolism network in future scenario is established based on the Grey Model-Biproportional Scaling Method (GM-RAS) and the Input-Output Analysis (IOA). Subsequently, the Ecological Network Analysis (ENA) is applied to execute water metabolism analysis under the water quantity-quality joint control perspective. The proposed framework is applied to water system management of Zhejiang Province, China. The regional water metabolism development trends are illustrated, water quantity-quality pollutants (COD, NH 3-N ) metabolism mechanisms are analyzed, and key industrial sectors for future scenario water system management are identified. The results indicated that: (a) in order to achieve joint improvement of water resource conservation and environmental conditions, agriculture (AGR), manufacturing (MAN), gas (GAS) and the other sectors (OSE) are identified the key industrial sectors. (b) Under the current economic development model, the water system network will evolve towards improving the whole efficiency. The comprehensive dynamic analysis of quality-quantity collaborative control will provide a scientific support to guide the dilemma of water resources in an attempt to promoting the healthy development of water system. • A methodology framework towards quantity-quality collaborative control is proposed. • The dynamic metabolic mechanism of quantity-quality is investigated. • The key industrial sectors for water system management are identified. • The methodology is applied to Zhejiang Province, China for water system regulation.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2024-12-27
DOI
https://doi.org/10.1016/j.indic.2024.100571
Citations
1
Primary Topic
Sustainability and Ecological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.21

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article

Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China

Huaicheng Guo, Xiao Pu, Yang Zhang, S.Z. Li et al.
1 citations
Environmental and Sustainability Indicators
Sustainability and Ecological Systems Analysis
0.21
article

Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China

Huaicheng Guo, Xiao Pu, Yang Zhang, S.Z. Li, Tianqi Liu, Jinbo Zhang, Changbo Qin, Lu Lü
article en
1 citations

Abstract

Persistent dilemma of water resource is one of the most challenging environmental issues worldwide. The shortage of water quantity fundamentally restricts the sustainable development of the economy and society, and the deterioration of water quality further aggravates the shortage of water quantity. The water metabolic mechanism depicts how material elements interact and operate during the inflow and outflow of water resources and pollutants in regional water system contexts, so exploring it from the perspective of dual control of quantity and quality provides a new view for identifying efficient management pathways. Thus, the objective of this study is to predict and analyze the metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control. In detail, the prediction of water metabolism network in future scenario is established based on the Grey Model-Biproportional Scaling Method (GM-RAS) and the Input-Output Analysis (IOA). Subsequently, the Ecological Network Analysis (ENA) is applied to execute water metabolism analysis under the water quantity-quality joint control perspective. The proposed framework is applied to water system management of Zhejiang Province, China. The regional water metabolism development trends are illustrated, water quantity-quality pollutants (COD, NH 3-N ) metabolism mechanisms are analyzed, and key industrial sectors for future scenario water system management are identified. The results indicated that: (a) in order to achieve joint improvement of water resource conservation and environmental conditions, agriculture (AGR), manufacturing (MAN), gas (GAS) and the other sectors (OSE) are identified the key industrial sectors. (b) Under the current economic development model, the water system network will evolve towards improving the whole efficiency. The comprehensive dynamic analysis of quality-quantity collaborative control will provide a scientific support to guide the dilemma of water resources in an attempt to promoting the healthy development of water system. • A methodology framework towards quantity-quality collaborative control is proposed. • The dynamic metabolic mechanism of quantity-quality is investigated. • The key industrial sectors for water system management are identified. • The methodology is applied to Zhejiang Province, China for water system regulation.

Environmental and Sustainability IndicatorsVol. 25
Peking University (CN), Chinese Academy for Environmental Planning (CN), Capital Normal University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Clean water and sanitation
Openalex Percentile: Top 47%
Sustainability and Ecological Systems Analysis
0.21
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