Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden

被引:29
|
作者
Lu, Xingcheng [1 ]
Yuan, Dehao [2 ]
Chen, Yiang [1 ]
Fung, Jimmy C. H. [1 ,2 ]
机构
[1] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Clear Water Bay, Hong Kong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Math, Clear Water Bay, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Global PM2.5; Urbanization; Mortality density; Machine learning; Meteorological variation; Climate; PARTICULATE MATTER; AIR-QUALITY; CHINA; COMBUSTION; EMISSIONS; POLLUTION; REGION; HAZE;
D O I
10.1016/j.envpol.2020.116003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
PM2.5 pollution has adverse health effects on humans. Urbanization and long-term meteorological variations play important roles in influencing the PM2.5 concentration and its associated health effects. Our results indicate that the urbanization process can enhance the PM2.5 concentration globally. The PM2.5 caused mortality density (deaths/100 km(2)) is also positively correlated with the urbanization degree in both developed and developing countries. The results from machine learning technique revealed that the meteorology-driven variation in PM2.5-caused health burden has increased with the increase in the urbanization degree from 1980 to 2018, suggesting that residents living in urban areas are more vulnerable to experiencing unfavorable meteorological conditions (e.g. low wind speed and planetary boundary layer height). The maximum difference in PM2.5-caused mortality due to the variation in annual meteorological conditions (between 2013 and 1986) was 270 600 (196 800-317 900). Our findings indicate an urgent need to understand the driving force behind the appearance of unfavorable meteorological situations and propose suitable climate mitigation measures. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
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