Spatial-Temporal Distribution Variation of Ground-Level Ozone in China's Pearl River Delta Metropolitan Region

doi:10.3390/ijerph18030872

	Spatial-Temporal Distribution Variation of Ground-Level Ozone in China's Pearl River Delta Metropolitan Region
	Zhang, An 1; Lin, Jinhuang 2; Chen, Wenhui 3; Lin, Mingshui 4; Lei, Chengcheng 1
刊名	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
	2021-02-01
卷号	18 期号:3 页码:13
关键词	ground-level ozone spatial– temporal kriging spatial– temporal distribution spatial clustering centers of gravity
DOI	10.3390/ijerph18030872
通讯作者	Lin, Jinhuang(dg1927019@smail.nju.edu.cn) ; Lin, Mingshui(linms@fjnu.edu.cn)
英文摘要	Long-term exposure to ozone pollution will cause severe threats to residents' physical and mental health. Ground-level ozone is the most severe air pollutant in China's Pearl River Delta Metropolitan Region (PRD). It is of great significance to accurately reveal the spatial-temporal distribution characteristics of ozone pollution exposure patterns. We used the daily maximum 8-h ozone concentration data from PRD's 55 air quality monitoring stations in 2015 as input data. We used six models of STK and ordinary kriging (OK) for the simulation of ozone concentration. Then we chose a better ozone pollution prediction model to reveal the ozone exposure characteristics of the PRD in 2015. The results show that the Bilonick model (BM) model had the highest simulation precision for ozone in the six models for spatial-temporal kriging (STK) interpolation, and the STK model's simulation prediction results are significantly better than the OK model. The annual average ozone concentrations in the PRD during 2015 showed a high spatial variation in the north and east and low in the south and west. Ozone concentrations were relatively high in summer and autumn and low in winter and spring. The center of gravity of ozone concentrations tended to migrate to the north and west before moving to the south and then finally migrating to the east. The ozone's spatial autocorrelation was significant and showed a significant positive correlation, mainly showing high-high clustering and low-low clustering. The type of clustering undergoes temporal migration and conversion over the four seasons, with spatial autocorrelation during winter the most significant.
资助项目	National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种	英语
出版者	MDPI
WOS记录号	WOS:000615183900001
资助机构	National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160659]
专题	中国科学院地理科学与资源研究所
通讯作者	Lin, Jinhuang; Lin, Mingshui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China 3.Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Peoples R China 4.Fujian Normal Univ, Coll Tourism, Fuzhou 350117, Peoples R China
推荐引用方式 GB/T 7714	Zhang, An,Lin, Jinhuang,Chen, Wenhui,et al. Spatial-Temporal Distribution Variation of Ground-Level Ozone in China's Pearl River Delta Metropolitan Region[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2021,18(3):13.
APA	Zhang, An,Lin, Jinhuang,Chen, Wenhui,Lin, Mingshui,&Lei, Chengcheng.(2021).Spatial-Temporal Distribution Variation of Ground-Level Ozone in China's Pearl River Delta Metropolitan Region.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,18(3),13.
MLA	Zhang, An,et al."Spatial-Temporal Distribution Variation of Ground-Level Ozone in China's Pearl River Delta Metropolitan Region".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18.3(2021):13.