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Impact of urban space on PM2.5 distribution: A multiscale and seasonal study in the Yangtze River Delta urban agglomeration.
Zhang, Jing; Chen, Jian; Zhu, Wenjian; Ren, Yuan; Cui, Jiecan; Jin, Xiaoai.
Afiliação
  • Zhang J; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin' an, 311300, China.
  • Chen J; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin' an, 311300, China.
  • Zhu W; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin' an, 311300, China.
  • Ren Y; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin' an, 311300, China.
  • Cui J; Zhejiang Development & Planning Institute, Hangzhou, 310030, China.
  • Jin X; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin' an, 311300, China. Electronic address: jinxa@zafu.edu.cn.
J Environ Manage ; 363: 121287, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38843733
ABSTRACT
Despite concerted efforts in emission control, air pollution control remains challenging. Urban planning has emerged as a crucial strategy for mitigating PM2.5 pollution. What remains unclear is the impact of urban form and their interactions with seasonal changes. In this study, base on the air quality monitoring stations in the Yangtze River Delta urban agglomeration, the relationship between urban spatial indicators (building morphology and land use) and PM2.5 concentrations was investigated using full subset regression and variance partitioning analysis, and seasonal differences were further analysed. Our findings reveal that PM2.5 pollution exhibits different sensitivities to spatial scales, with higher sensitivity to the local microclimate formed by the three-dimensional structure of buildings at the local scale, while land use exerts greater influence at larger scales. Specifically, land use indicators contributed sustantially more to the PM2.5 prediction model as buffer zone expand (from an average of 2.41% at 100 m range to 47.30% at 5000 m range), whereas building morphology indicators display an inverse trend (from an average of 13.84% at 100 m range to 1.88% at 5000 m range). These results enderscore the importance of considering building morphology in local-scale urban planning, where the increasing building height can significantly enhance the disperion of PM2.5 pollution. Conversely, large-scale urban planning should prioritize the mixed use of green spaces and construction lands to mitigate PM2.5 pollution. Moreover, the significant seasonal differences in the ralationship between urban spatical indicatiors and PM2.5 pollution were observed. Particularly moteworthy is the heightened association between forest, water indicators and PM2.5 concentrations in summer, indicating the urban forests may facilitate the formation of volatile compunds, exacerbating the PM2.5 pollution. Our study provides a theoretical basis for addressing scale-related challenges in urban spatial planning, thereby forstering the sustainable development of cities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estações do Ano / Monitoramento Ambiental / Rios / Poluentes Atmosféricos / Poluição do Ar / Material Particulado País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estações do Ano / Monitoramento Ambiental / Rios / Poluentes Atmosféricos / Poluição do Ar / Material Particulado País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China