Related Experiment Video
Updated: Jul 7, 2025

11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
13.0K
Modifying national industrial structure for reducing heavy metals in China: A nexus-based multi-objective
Guangfei Yang1, Zitong Guo1, Wenjun Wu2
1Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China.
The Science of the Total Environment
|December 23, 2023
Summary
This study introduces a new method to reduce heavy metal (HM) pollution by analyzing their interconnected sources. The approach optimizes industrial output, significantly cutting HM risks while boosting economic gains.
Area of Science:
- Environmental Science
- Industrial Ecology
- Risk Assessment
Background:
- Heavy metals (HMs) pose significant toxicity risks and share common emission sources.
- Collaborative reduction strategies are needed due to interconnected HM pollution.
Purpose of the Study:
- To propose a novel nexus-based optimization approach for mitigating atmospheric heavy metal pollution.
- To explore the interconnectedness (nexus) among various HMs for effective environmental management.
Main Methods:
- Compilation of the 2017 atmospheric HM emission inventory.
- Development and application of the Integrated Nexus Strength of HMs Risk (HMR-INS).
- Utilizing a multi-region input-output (MRIO) table and multi-objective optimization.
Main Results:
- The proposed approach outperforms traditional methods in reducing HM-related risks and increasing total output.
- Achieved a 1.9 million tons reduction in HM-related risks.
- Secured a 1.37 trillion yuan increment in total output.
Conclusions:
- The nexus-based optimization approach offers a feasible strategy for industrial modification.
- Balances economic efficiency with the stability of industrial structure for HM mitigation.

