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Effects of Urban Landscape Pattern on PM2.5 Pollution--A Beijing Case Study.

Wu J, Xie W, Li W, Li J - PLoS ONE (2015)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: The Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Peking University Shenzhen, Shenzhen, China.

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.

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Related in: MedlinePlus

Seasonal pattern of four categories of all sites.
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pone.0142449.g002: Seasonal pattern of four categories of all sites.

Mentions: All 35 sites were valid samples during the study period. The annual average concentration of 35 sites was 90.724μg/m3, which was 2–3 times higher than the WHO Level 1 Interim Target of 35μg/m3. The maximum value of annual average concentration was 115.894μg/m3 in the Liulihe site, while the minimum value was 62.054μg/m3 in Miyun reservoir site. Fig 2 showed that PM2.5 concentration in winter and autumn was larger than that in spring and summer. The average concentration of four seasons was 85.349μg/m3, 79.149μg/m3, 86.887μg/m3 and 112.299μg/m3. The peak concentrations of spring, summer, autumn and winter were 109.930μg/m3 (Liulihe site), 100.899μg/m3 (Daxing site), 147.738μg/m3 (Daxing site) and 163.347μg/m3 (Inner YongDingMen street site). The PM2.5 concentration between different sites and different seasons changes greatly. The spatiotemporal variation of PM2.5 concentration in Beijing may be evident.


Effects of Urban Landscape Pattern on PM2.5 Pollution--A Beijing Case Study.

Wu J, Xie W, Li W, Li J - PLoS ONE (2015)

Seasonal pattern of four categories of all sites.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4643981&req=5

pone.0142449.g002: Seasonal pattern of four categories of all sites.
Mentions: All 35 sites were valid samples during the study period. The annual average concentration of 35 sites was 90.724μg/m3, which was 2–3 times higher than the WHO Level 1 Interim Target of 35μg/m3. The maximum value of annual average concentration was 115.894μg/m3 in the Liulihe site, while the minimum value was 62.054μg/m3 in Miyun reservoir site. Fig 2 showed that PM2.5 concentration in winter and autumn was larger than that in spring and summer. The average concentration of four seasons was 85.349μg/m3, 79.149μg/m3, 86.887μg/m3 and 112.299μg/m3. The peak concentrations of spring, summer, autumn and winter were 109.930μg/m3 (Liulihe site), 100.899μg/m3 (Daxing site), 147.738μg/m3 (Daxing site) and 163.347μg/m3 (Inner YongDingMen street site). The PM2.5 concentration between different sites and different seasons changes greatly. The spatiotemporal variation of PM2.5 concentration in Beijing may be evident.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: The Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Peking University Shenzhen, Shenzhen, China.

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.

Show MeSH
Related in: MedlinePlus