An Integration Method for Regional PM 2.5 Pollution Control Optimization Based on Meta-Analysis and Systematic Review

Bingkui Qiu, Min Zhou, Yang Qiu, Yuxiang Ma, Chaonan Ma, Jiating Tu and Siqi Li
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Bingkui Qiu: Department of Tourism Management, Jin Zhong University, Jinzhong 033619, China
Min Zhou: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Yang Qiu: Department of Economics, University of Warwick, Coventry CV4 7AL, UK
Yuxiang Ma: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Chaonan Ma: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Jiating Tu: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Siqi Li: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China

IJERPH, 2021, vol. 19, issue 1, 1-22

Abstract: PM 2.5 pollution in China is becoming increasingly severe, threatening public health. The major goal of this study is to evaluate the mortality rate attributed to PM 2.5 pollution and design pollution mitigation schemes in a southern district of China through a two-objective optimization model. The mortality rate is estimated by health effect evaluation model. Subjected to limited data information, it is assumed that the meta-analysis method, through summarizing and combining the research results on the same subject, was suitable to estimate the percentage of deaths caused by PM 2.5 pollution. The critical parameters, such as the total number of deaths and the background concentration of PM 2.5 , were obtained through on-site survey, data collection, literature search, policy analysis, and expert consultation. The equations for estimating the number of deaths caused by PM 2.5 pollution were established by incorporating the relationship coefficient of exposure to reaction, calculated residual PM 2.5 concentration of affected region, and statistical total base number of deaths into a general framework. To balance the cost from air quality improvement and human health risks, a two-objective optimization model was developed. The first objective is to minimize the mortality rate attributable to PM 2.5 pollution, and the second objective is to minimize the total system cost over three periods. The optimization results demonstrated that the combination of weights assigned to the two objectives significantly influenced the model output. For example, a high weight value assigned to minimizing the number of deaths results in the increased use of treatment techniques with higher efficiencies and a dramatic decrease in pollutant concentrations. In contrast, a model weighted more toward minimizing economic loss may lead to an increase in the death toll due to exposure to higher air pollution levels. The effective application of this model in the Nanshan District of Shenzhen City, China, is expected to serve as a basis for similar work in other parts of the world in the future.

Keywords: meta-analysis; two-objective optimization; air quality management; mortality rate; Nanshan district (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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