Abstract
Water resource and environment capacity have become two of the most important restrictions for sustainable development in resource-based cities whose leading industries are the exploitation and processing of resources. Taking Ordos in China as an example, this article constructs an integrated model combining a multi-objective optimization model with input–output analysis to achieve the tradeoffs between economic growth, water utilization and environmental protection. This dynamic model includes socioeconomic, water supply–demand, water quality control, air quality control, energy consumption control and integrated policy sub-models. These six sub-models interact with each other. After simulation, this article proposes efficient solutions on industrial restructuring by maximizing the Gross Regional Product of Ordos from 394.3 in 2012 to 785.1 billion RMB in 2025 with a growth rate of 6.4% annually; and presents a water supply plan by maximizing the proportion of reclaimed water from 2% to 6.3% through sewage treatment technology selection and introduction, and effective water allocation. Meanwhile, the environmental impacts are all in line with the planning targets. This study illustrates that the integrated modeling is generic and can be applied to any region suffering uncoordinated development issues and can serve as a pre-evaluation approach for conducting early warning research to offer suggestions for government decision-making.
Highlights
With the continuous development of socioeconomics, water resource and environment capacity [1] have become the most important constraints for sustainable development in many regions [2], especially in Chinese resource-based cities whose leading industries are the exploitation and processing of local natural resources [3]
IO model has been applied to the study of the environmental influences of industrial development, including the assessment of greenhouse gas emission related to resource sectors in a specific region [13]; the evaluation of water pollution during the process of resource exploitation [14]; and the assessment of energy consumption and environmental pollution discharge according to regional economic growth [15,16,17]
A multi-objective linear programming model can endogenously put forward the efficient solution for industrial restructuring by maximizing the economic output within the constraints of specific energy conservation and emission reduction goals, and present an exercisable water resource recycling plan by maximizing local water supply through sewage treatment technology selection, introduction, and installation and water allocation
Summary
With the continuous development of socioeconomics, water resource and environment capacity [1] have become the most important constraints for sustainable development in many regions [2], especially in Chinese resource-based cities whose leading industries are the exploitation and processing of local natural resources [3]. IO model has been applied to the study of the environmental influences of industrial development, including the assessment of greenhouse gas emission related to resource sectors in a specific region [13]; the evaluation of water pollution during the process of resource exploitation [14]; and the assessment of energy consumption and environmental pollution discharge according to regional economic growth [15,16,17]. A multi-objective linear programming model can endogenously put forward the efficient solution for industrial restructuring by maximizing the economic output within the constraints of specific energy conservation and emission reduction goals, and present an exercisable water resource recycling plan by maximizing local water supply through sewage treatment technology selection, introduction, and installation and water allocation. According to our field survey and data collection, we construct a model to suit the sustainable development of resource-based cities
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