title: Effects of Urban Landscape Pattern on PM2.5 Pollution--A Beijing Case Study.
abstract: PM2.5 refers to particulate matter (PM) in air that is less than 2.5 μm in aerodynamic diameter, which has negative effects on air quality and human health. PM2.5 is the main pollutant source in haze occurring in Beijing, and it also has caused many problems in other cities. Previous studies have focused mostly on the relationship between land use and air quality, but less research has specifically explored the effects of urban landscape patterns on PM2.5. This study considered the rapidly growing and heavily polluted Beijing, China. To better understand the impact of urban landscape pattern on PM2.5 pollution, five landscape metrics including PLAND, PD, ED, SHEI, and CONTAG were applied in the study. Further, other data, such as street networks, population density, and elevation considered as factors influencing PM2.5, were obtained through RS and GIS. By means of correlation analysis and stepwise multiple regression, the effects of landscape pattern on PM2.5 concentration was explored. The results showed that (1) at class-level, vegetation and water were significant landscape components in reducing PM2.5 concentration, while cropland played a special role in PM2.5 concentration; (2) landscape configuration (ED and PD) features at class-level had obvious effects on particulate matter; and (3) at the landscape-level, the evenness (SHEI) and fragmentation (CONTAG) of the whole landscape related closely with PM2.5 concentration. Results of this study could expand our understanding of the role of urban landscape pattern on PM2.5 and provide useful information for urban planning.
authors.affiliation: The Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Peking University Shenzhen, Shenzhen, China.|College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Ministry of Education, Peking University, Beijing, China.
authors.forename: Jiansheng
authors.initials: J
authors.lastname: Wu
authors.affiliation: The Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Peking University Shenzhen, Shenzhen, China.
authors.forename: Wudan
authors.initials: W
authors.lastname: Xie
authors.affiliation: Department of Urban Planning and Design, University of Hong Kong, Hong Kong, China.
authors.forename: Weifeng
authors.initials: W
authors.lastname: Li
authors.affiliation: The Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Peking University Shenzhen, Shenzhen, China.|Department of Urban Development and Land Policy, Urban Planning & Design Institute of Shenzhen, Shenzhen, China.
authors.forename: Jiacheng
authors.initials: J
authors.lastname: Li
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis*; D000068476:Beijing; D004784:Environmental Monitoring / Q000379:methods; D006801:Humans; D000067936:Natural Resources; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D011156:Population Density; D014507:Urbanization
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter