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The effect of urban morphological characteristics on the spatial variation of PM2.5 air quality in downtown Nanjing.
Kokkonen, Tom V; Xie, Yuning; Paasonen, Pauli; Gani, Shahzad; Jiang, Lin; Wang, Bo; Zhou, Derong; Qin, Wei; Nie, Wei; Kerminen, Veli-Matti; Petäjä, Tuukka; Sun, Jianning; Kulmala, Markku; Ding, Aijun.
Affiliation
  • Kokkonen TV; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University Nanjing China tvkokkonen@nju.edu.cn.
  • Xie Y; Nanjing Atmospheric Environment and Green Development Research Institute (NAGR) Nanjing China.
  • Paasonen P; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki Helsinki Finland.
  • Gani S; Nanjing Atmospheric Environment and Green Development Research Institute (NAGR) Nanjing China.
  • Jiang L; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki Helsinki Finland.
  • Wang B; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki Helsinki Finland.
  • Zhou D; Helsinki Institute of Sustainability Science, University of Helsinki Helsinki Finland.
  • Qin W; Nanjing Atmospheric Environment and Green Development Research Institute (NAGR) Nanjing China.
  • Nie W; Gulou Environment Protection Department Nanjing China.
  • Kerminen VM; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University Nanjing China tvkokkonen@nju.edu.cn.
  • Petäjä T; Nanjing Atmospheric Environment and Green Development Research Institute (NAGR) Nanjing China.
  • Sun J; Jiangsu Environmental Monitoring Center Nanjing China.
  • Kulmala M; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University Nanjing China tvkokkonen@nju.edu.cn.
  • Ding A; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University Nanjing China tvkokkonen@nju.edu.cn.
Environ Sci Atmos ; 1(7): 481-497, 2021 Nov 25.
Article in En | MEDLINE | ID: mdl-34913037
ABSTRACT
The effects of the urban morphological characteristics on the spatial variation of near-surface PM2.5 air quality were examined. Unlike previous studies, we performed the analyses in real urban environments using continuous observations covering the whole scale of urban densities typically found in cities. We included data from 31 measurement stations divided into 8 different wind sectors with individually defined morphological characteristics leading to highly varying urban characteristics. The urban morphological characteristics explained up to 73% of the variance in normalized PM2.5 concentrations in street canyons, indicating that the spatial variation of the near-surface PM2.5 air quality was mostly defined by the characteristics studied. The fraction of urban trees nearby the stations was found to be the most important urban morphological characteristic in explaining the PM2.5 air quality, followed by the height-normalized roughness length as the second important parameter. An increase in the fraction of trees within 50 m of the stations from 25 percentile to 75 percentile (i.e. by the interquartile range, IQR) increased the normalized PM2.5 concentration by up to 24% in the street canyons. In open areas, an increase in the trees by the IQR actually decreased the normalized PM2.5 by 6% during the pre-COVID period. An increase in the height-normalized roughness length by the IQR increased the normalized PM2.5 by 9% in the street canyons. The results obtained in this study can help urban planners to identify the key urban characteristics affecting the near-surface PM2.5 air quality and also help researchers to evaluate how representative the existing measurement stations are compared to other parts of the cities.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Environ Sci Atmos Year: 2021 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Environ Sci Atmos Year: 2021 Type: Article