title: Fine Particulate Matter Pollution and Hospital Admissions for Respiratory Diseases in Beijing, China.
abstract: Fine particulate matter has become the premier air pollutant of Beijing in recent years, enormously impacting the environmental quality of the city and the health of the residents. Fine particles with aerodynamic diameters of 0~0.3 μm, 0.3~0.5 μm, and 0.5~1.0 μm, from the yeasr 2007 to 2012, were monitored, and the hospital data about respiratory diseases during the same period was gathered and calculated. Then the correlation between respiratory health and fine particles was studied by spatial analysis and grey correlation analysis. The results showed that the aerial fine particulate matter pollution was mainly distributed in the Zizhuyuan sub-district office. There was a certain association between respiratory health and fine particles. Outpatients with respiratory system disease in this study area were mostly located in the southeastern regions (Balizhuang sub-district office, Ganjiakou sub-district office, Wanshoulu sub-district office, and Yongdinglu sub-district office) and east-central regions (Zizhuyuan sub-district office and Shuangyushu sub-district office) of the study area. Correspondingly, PM₁ (particulate matter with aerodynamic diameter smaller than 1.0 um) concentrations in these regions were higher than those in any other regions. Grey correlation analysis results showed that the correlation degree of the fine particle concentration with the number of outpatients is high, and the smaller fine particles had more obvious effects on respiratory system disease than larger particles.
authors.affiliation: Urban Environmental Process and Digital Modeling Laboratory, Capital Normal University, Beijing 100048, China. xiong_ql@163.com.
authors.forename: Qiulin
authors.initials: Q
authors.lastname: Xiong
authors.affiliation: Urban Environmental Process and Digital Modeling Laboratory, Capital Normal University, Beijing 100048, China. zhwenji1215@163.com.
authors.forename: Wenji
authors.initials: W
authors.lastname: Zhao
authors.affiliation: Urban Environmental Process and Digital Modeling Laboratory, Capital Normal University, Beijing 100048, China. gongzhn@163.com.
authors.forename: Zhaoning
authors.initials: Z
authors.lastname: Gong
authors.affiliation: Beijing Municipal Environmental Monitoring Center, Beijing 100044, China. wenhuidiandian@163.com.
authors.forename: Wenhui
authors.initials: W
authors.lastname: Zhao
authors.affiliation: Department of Geography and Planning, State University of New York College at Buffalo, Buffalo, NY 14222, USA. tangt@buffalostate.edu.
authors.forename: Tao
authors.initials: T
authors.lastname: Tang
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000068476:Beijing / Q000453:epidemiology; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D010045:Outpatients / Q000706:statistics & numerical data; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D012140:Respiratory Tract Diseases / Q000453:epidemiology* / Q000209:etiology; D012621:Seasons; D062206:Spatial Analysis
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter
keywords: fine particulate matter; functional areas; grey correlation analysis; hospital admissions; respiratory diseases; spatial distribution