The Impacts of Urban Form on PM2.5 Concentrations: A Regional Analysis of Cities in China from 2000 to 2015

被引:10
作者
Wang, Zefa [1 ]
Chen, Jing [2 ]
Zhou, Chunshan [3 ]
Wang, Shaojian [3 ]
Li, Ming [4 ]
机构
[1] Quanzhou Normal Univ, Coll Resources & Environm Sci, Quanzhou 362000, Peoples R China
[2] Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Peoples R China
[3] Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
[4] MNR, Land Consolidat & Rehabil Ctr, Beijing 100035, Peoples R China
关键词
urban landscape pattern; landscape metrics; regional differences; PM2.5; concentrations; China; CO2 EMISSION EFFICIENCY; YANGTZE-RIVER DELTA; LANDSCAPE PATTERN; AIR-QUALITY; TRAVEL BEHAVIOR; URBANIZATION; CONSUMPTION; SIMULATION; POLLUTION;
D O I
10.3390/atmos13060963
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The urban form (e.g., city size, shape, scale, density, etc.) can impact the air quality and public health. However, few studies have been conducted to assess the relationship between the urban form and PM2.5 concentrations on a regional scale and long-term basis in China. In this study, we explored the impact of the urban form on the PM2.5 concentrations in four different regions (i.e., northeast, central, east, western) across China for the years 2000, 2005, 2010, and 2015. Five landscape metrics were classified into three characteristics of the urban form (compactness, shape complexity, and urban expansion) using high-resolution remote-sensing data. With considerations given to regional differences, panel-data models and city-level panel data were used to calculate the impact of the urban form on the PM2.5 concentrations. The results of the study indicate that urban expansion is positively correlated with the PM2.5 concentrations across China, with the only exception being the country's western region, which suggests that urban extension is conducive to increasing the PM2.5 levels in relatively developed regions. Meanwhile, the positive relationship between the irregularity of cities and the PM2.5 concentrations indicates that reducing the urban shape complexity will help to mitigate PM2.5 pollution. Moreover, urban compactness, which mainly refers to the landscape-division-index values, proved to have a negative effect on the PM2.5 concentrations, suggesting that the optimization of urban spatial compactness could reduce PM2.5 levels. The findings of this study are beneficial for a better understanding of the intensity and direction of the effect of the urban form on PM2.5 concentrations.
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页数:14
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共 52 条
  • [11] Urban form and travel behaviour: Micro-level household attributes and residential context
    Dieleman, FM
    Dijst, M
    Burghouwt, G
    [J]. URBAN STUDIES, 2002, 39 (03) : 507 - 527
  • [12] Ewing R., 2007, GROWING COOLER EVIDE
  • [13] Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities
    Fang, Chuanglin
    Wang, Shaojian
    Li, Guangdong
    [J]. APPLIED ENERGY, 2015, 158 : 519 - 531
  • [14] Untangling Urban Sprawl and Climate Change: A Review of the Literature on Physical Planning and Transportation Drivers
    Feng, Qiu
    Gauthier, Pierre
    [J]. ATMOSPHERE, 2021, 12 (05)
  • [15] FORMAN R., 1986, LANDSCAPE ECOL
  • [16] The association between fine particulate air pollution and hospital emergency room visits for cardiovascular diseases in Beijing, China
    Guo, Yuming
    Jia, Yuping
    Pan, Xiaochuan
    Liu, Liqun
    Wichmann, H. -Erich
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2009, 407 (17) : 4826 - 4830
  • [17] Characteristics and source apportionment of PM2.5 during a fall heavy haze episode in the Yangtze River Delta of China
    Hua, Yang
    Cheng, Zhen
    Wang, Shuxiao
    Jiang, Jingkun
    Chen, Daren
    Cai, Siyi
    Fu, Xiao
    Fu, Qingyan
    Chen, Changhong
    Xu, Bingye
    Yu, Jianqiao
    [J]. ATMOSPHERIC ENVIRONMENT, 2015, 123 : 380 - 391
  • [18] A global comparative analysis of urban form: Applying spatial metrics and remote sensing
    Huang, Jingnan
    Lu, X. X.
    Sellers, Jefferey M.
    [J]. LANDSCAPE AND URBAN PLANNING, 2007, 82 (04) : 184 - 197
  • [19] Urban compactness and patch complexity influence PM2.5 concentrations in contrasting ways: Evidence from the Guangdong-Hong Kong-Macao Greater Bay Area of China
    Huang, Qianyuan
    Xu, Chao
    Jiang, Weiyu
    Yue, Wencong
    Rong, Qiangqiang
    Gu, Zhihui
    Su, Meirong
    [J]. ECOLOGICAL INDICATORS, 2021, 133
  • [20] High secondary aerosol contribution to particulate pollution during haze events in China
    Huang, Ru-Jin
    Zhang, Yanlin
    Bozzetti, Carlo
    Ho, Kin-Fai
    Cao, Jun-Ji
    Han, Yongming
    Daellenbach, Kaspar R.
    Slowik, Jay G.
    Platt, Stephen M.
    Canonaco, Francesco
    Zotter, Peter
    Wolf, Robert
    Pieber, Simone M.
    Bruns, Emily A.
    Crippa, Monica
    Ciarelli, Giancarlo
    Piazzalunga, Andrea
    Schwikowski, Margit
    Abbaszade, Guelcin
    Schnelle-Kreis, Juergen
    Zimmermann, Ralf
    An, Zhisheng
    Szidat, Soenke
    Baltensperger, Urs
    El Haddad, Imad
    Prevot, Andre S. H.
    [J]. NATURE, 2014, 514 (7521) : 218 - 222