The economic loss of public health from PM 2.5 pollution in the Fenwei Plain
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RESEARCH ARTICLE
The economic loss of public health from PM2.5 pollution in the Fenwei Plain Ziyu Dong 1,2 & Li Li 1,2,3 & Yalin Lei 1,2 & Sanmang Wu 1,2 & Dan Yan 4 & Hong Chen 1,2 Received: 19 March 2020 / Accepted: 26 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract At present, the concentration of PM2.5 in the Fenwei Plain has become the second highest in China, ranking second to the Beijing–Tianjin–Hebei region. At the same time, China began to monitor and control the PM2.5 concentration in the Fenwei Plain, but the data indicated that the concentration of PM2.5 in the Fenwei Plain rose instead of falling. PM2.5 concentrations in 6 cities from the Fenwei Plain ranked highest among the 20 cities in 2018 in China, and PM2.5 pollution can cause some health economic loss. Based on this background, the exposure–response model is used to estimate the impact of PM2.5 pollution on the health economic loss in the Fenwei Plain, and PM2.5 concentration in 2020, 2025, and 2030 is also predicted based on the setting of three scenarios: baseline scenario, emission reduction scenario, and enhanced emission reduction scenario. Then, according to the estimated results, the paper provides suggestions for reducing public health loss in the Fenwei Plain in the future. Keyword PM2.5 pollution . Health effect and economic loss . Exposure . response model . Fenwei Plain
Introduction Since the 1990s, people have been increasingly concerned about the influences of air contamination on health effects. Earlier studies were dominated by epidemiological studies, which kept a watchful eye on the influences of air contamination on various health indicators of exposed populations. An epidemiological
Responsible editor: Philippe Garrigues Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11356-020-10651-0) contains supplementary material, which is available to authorized users. * Li Li [email protected] 1
School of Economics and Management, China University of Geosciences, Beijing 100083, China
2
Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
3
State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100011, China
4
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
study was conducted in the USA and it revealed the relationship between PM2.5 and a variety of health indicators such as consultation rate, respiratory morbidity, decreased lung capacity, and mortality (Chow and Spengler 1986). Then the odds ratio (OR) of three kinds of respiratory symptoms (chronic coughing up phlegm, shortness of breath, and sudden breathing) and three kinds of respiratory disease from outdoor air pollution were proved that its values increased with higher levels of air pollution trend in 1994 and 1995 (Jin and Ren 2000). Besides, Forastiere et al. (2005) looked at how pollution levels in the dail
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