title: Spatial Variation of the Relationship between PM 2.5 Concentrations and Meteorological Parameters in China.
abstract: Epidemiological studies around the world have reported that fine particulate matter (PM2.5) is closely associated with human health. The distribution of PM2.5 concentrations is influenced by multiple geographic and socioeconomic factors. Using a remote-sensing-derived PM2.5 dataset, this paper explores the relationship between PM2.5 concentrations and meteorological parameters and their spatial variance in China for the period 2001-2010. The spatial variations of the relationships between the annual average PM2.5, the annual average precipitation (AAP), and the annual average temperature (AAT) were evaluated using the Geographically Weighted Regression (GWR) model. The results indicated that PM2.5 had a strong and stable correlation with meteorological parameters. In particular, PM2.5 had a negative correlation with precipitation and a positive correlation with temperature. In addition, the relationship between the variables changed over space, and the strong negative correlation between PM2.5 and the AAP mainly appeared in the warm temperate semihumid region and northern subtropical humid region in 2001 and 2010, with some localized differences. The strong positive correlation between the PM2.5 and the AAT mainly occurred in the mid-temperate semiarid region, the humid, semihumid, and semiarid warm temperate regions, and the northern subtropical humid region in 2001 and 2010.
authors: College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China.
authors: Gang
authors: G
authors: Lin
authors: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China ; University of Chinese Academy of Sciences, Beijing 100101, China.
authors: Jingying
authors: J
authors: Fu
authors: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China.
authors: Dong
authors: D
authors: Jiang
authors: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Hydropower & Water Resources Research, Beijing 100038, China.
authors: Jianhua
authors: J
authors: Wang
authors: Satellite Environmental Application Center, Ministry of Environmental Protection, Beijing 100094, China.
authors: Qiao
authors: Q
authors: Wang
authors: College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China.
authors: Donglin
authors: D
authors: Dong
mesh_terms: D002681:China; D002980:Climate; D005843:Geography; D008685:Meteorological Concepts; D008962:Models, Theoretical; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D011891:Rain; D013696:Temperature
chemical_list: D052638:Particulate Matter