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Updated: Sep 17, 2025
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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Achieving synergy between pollution reduction and carbon mitigation in the eco-industrial park: a multi-objective
Chunlei Du1, Yin Yuan2, Lu Sun1
1School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Journal of Environmental Management
|July 2, 2025
Summary
Eco-Industrial Parks (EIPs) can achieve green transformation through optimized industrial structures. This framework significantly cuts carbon emissions and waste, promoting sustainable development.
Area of Science:
- Environmental Science
- Industrial Ecology
- Operations Research
Background:
- Eco-Industrial Parks (EIPs) aim to balance industrial growth with environmental protection.
- Optimizing EIP industrial structure is challenging due to competing economic, energy, and ecological goals.
Purpose of the Study:
- Develop a multi-objective optimization framework for EIPs.
- Systematically balance economic benefits, energy consumption, and waste management.
- Guide sustainable industrial restructuring.
Main Methods:
- Developed a mathematical optimization model.
- Integrated energy input-output data, waste treatment, and emission parameters.
- Evaluated industrial restructuring pathways under policy constraints.
Main Results:
- Projected carbon emission intensity reductions of 27.29% (2025) and 45.64% (2030).
- Anticipated reductions in final solid waste treatment volume by 72.13% (2025) and 91.59% (2030).
- Significant decreases in SO2, NOx, and PM emissions via clean energy and recycling.
Conclusions:
- The optimization model provides practical value for green, low-carbon transformation in high-tech industrial parks.
- Offers a quantitative foundation for sustainable restructuring in similar industrial settings.
- Facilitates the implementation of effective environmental and economic strategies.
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