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| Health effects’ spatial distribution analysis of PM2.5 pollution in China based on spatial grid scale |
| ZENG Xian-gang1, RUAN Fang-fang1, PENG Yan-yan2 |
1. School of Environment & Natural Resources, Renmin University of China, Beijing 100872, China;
2. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China |
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Abstract Based on the monitoring data of the national urban air quality real-time release platform, this study used the spatial interpolation method to simulate the exposure level of China PM2.5 on the spatial grid scale of 10kmx10km, and used the BenMap model to estimate the health loss of China's PM2.5 pollution in 2017. Then this study conducted a spatial analysis of the health economic losses of PM2.5 pollution on a city scale. In terms of statistical significance, the total PM2.5 pollution in 2017 caused 321435 premature deaths, 746078 hospital admissions, and 14877551 morbidity in China. The health economic loss was about 126.25 billion yuan, accounting for 1.53% of the national GDP. From the perspective of urban scale, the health effect showed a certain spatial agglomeration effect, and the cities in Beijing-Tianjin-Hebei region were more serious. In terms of spatial distribution, the main distributions were "high-high" and "low-low", that was, high-value cities of health economic loss gathered with each other, and low-value cities of health economic loss gathered with each other, too. And there existed a phenomenon that the high-value cities influenced each other and gradually spread around, and then affected the low-value cities around.
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Received: 20 December 2018
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