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Effects of urban functional fragmentation on nitrogen dioxide (NO2) variation with anthropogenic-emission restriction in China.
Meng, Yuan; Wong, Man Sing; Xing, Hanfa; Zhu, Rui; Qin, Kai; Kwan, Mei-Po; Lee, Kwon Ho; Kwok, Coco Yin Tung; Li, Hon.
  • Meng Y; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
  • Wong MS; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. Ls.charles@polyu.edu.hk.
  • Xing H; Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. Ls.charles@polyu.edu.hk.
  • Zhu R; School of Geography, South China Normal University, Guangzhou, Guangdong, China.
  • Qin K; College of Geography and Environment, Shandong Normal University, Jinan, Shandong, China.
  • Kwan MP; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
  • Lee KH; School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China.
  • Kwok CYT; Department of Geography and Resource Management, and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
  • Li H; Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB, Utrecht, The Netherlands.
Sci Rep ; 11(1): 11908, 2021 06 07.
Article in English | MEDLINE | ID: covidwho-1260948
ABSTRACT
Urban functional fragmentation plays an important role in assessing Nitrogen Dioxide (NO2) emissions and variations. While the mediated impact of anthropogenic-emission restriction has not been comprehensively discussed, the lockdown response to the novel coronavirus disease 2019 (COVID-19) provides an unprecedented opportunity to meet this goal. This study proposes a new idea to explore the effects of urban functional fragmentation on NO2 variation with anthropogenic-emission restriction in China. First, NO2 variations are quantified by an Autoregressive Integrated Moving Average with external variables-Dynamic Time Warping (SARIMAX-DTW)-based model. Then, urban functional fragmentation indices including industrial/public Edge Density (ED) and Landscape Shape Index (LSI), urban functional Aggregation Index (AI) and Number of Patches (NP) are developed. Finally, the mediated impacts of anthropogenic-emission restriction are assessed by evaluating the fragmentation-NO2 variation association before and during the lockdown during COVID-19. The findings reveal negative effects of industrial ED, public LSI, urban functional AI and NP and positive effects of public ED and industrial LSI on NO2 variation based on the restricted anthropogenic emissions. By comparing the association analysis before and during lockdown, the mediated impact of anthropogenic-emission restriction is revealed to partially increase the effect of industrial ED, industrial LSI, public LSI, urban functional AI and NP and decrease the effect of public ED on NO2 variation. This study provides scientific findings for redesigning the urban environment in related to the urban functional configuration to mitigating the air pollution, ultimately developing sustainable societies.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-91236-w

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-91236-w