中国臭氧污染的空间分布和健康效应

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Abstract

Based on the real-time monitoring data of 1365monitoring stations in China in 2017, the spatial data statistical model was used to reveal the spatial-temporal distribution of near-ground ozone pollution, and BenMap tool was used to estimate the health loss and health economic value of ozone pollution on the scale of 10km×10km grid. The concentration of O₃ had a strong seasonal variation, showing an inverted "V" trend, and the spatial distribution showed obvious agglomeration, that was high or low value areas were concentrated, which had a strong positive spatial correlation. In statistical sense, by simulating indoor and outdoor O₃ exposure by O₃ exposure coefficient, O₃ pollution caused 98473 cases of all-cause premature death in China in 2017 (95% CI:53419~143292), including premature death of cardiovascular diseases, which accounted for 45%. Based on the value of a statistical life estimated by different scholars, the estimated health economic loss ranged from 19.7 to 97.8 billion yuan, accounting for 0.05% to 0.26% of China's GDP in 2017.

Key words： ozone health effect BenMap spatial autocorrelation spatial-temporal variations

Received: 18 February 2019

PACS:

X503.1

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	Articles by authors
	ZENG Xian-gang
	RUAN Fang-fang
	JIANG Yi-jing

Cite this article:

ZENG Xian-gang,RUAN Fang-fang,JIANG Yi-jing. Spatial distribution and health effects of ozone pollution in China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(9): 4025-4032.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I9/4025

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