An Integration Method for Regional PM_2.5 Pollution Control Optimization Based on Meta-Analysis and Systematic Review.

Area of Science:

• Environmental Science
• Public Health
• Operations Research

Background:

• Increasingly severe PM2.5 pollution in China threatens public health.
• Quantifying mortality and designing mitigation strategies are crucial.

Purpose of the Study:

• To evaluate PM2.5-related mortality rates.
• To design pollution mitigation schemes using a two-objective optimization model.
• To balance air quality improvement costs and human health risks.

Main Methods:

• Health effect evaluation model for mortality estimation.
• Meta-analysis to estimate PM2.5-attributable deaths.
• Two-objective optimization model minimizing mortality and system cost.
• Data collection via surveys, literature, and expert consultation.

Main Results:

• Optimization model outputs are sensitive to objective function weighting.
• Prioritizing mortality reduction leads to higher efficiency treatment and lower pollutant concentrations.
• Weighting towards economic loss minimization may increase health risks.

Conclusions:

• The developed optimization model effectively balances health and economic factors.
• Effective application in Nanshan District, Shenzhen, provides a framework for other regions.
• Policy decisions on PM2.5 mitigation require careful consideration of objective weighting.