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Impacts of the Chengdu 2021 world university games on NO2 pollution: Implications for urban vehicle electrification promotion.
Zheng, Xi; Meng, Haiyan; Tan, Qinwen; Zhou, Zihang; Zhou, Xiaoling; Liu, Xuan; Grieneisen, Michael L; Wang, Nan; Zhan, Yu; Yang, Fumo.
Afiliación
  • Zheng X; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
  • Meng H; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
  • Tan Q; Chengdu Academy of Environmental Sciences, Chengdu, Sichuan 610072, China.
  • Zhou Z; Chengdu Academy of Environmental Sciences, Chengdu, Sichuan 610072, China.
  • Zhou X; Chengdu Academy of Environmental Sciences, Chengdu, Sichuan 610072, China.
  • Liu X; Chengdu Academy of Environmental Sciences, Chengdu, Sichuan 610072, China.
  • Grieneisen ML; Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, United States.
  • Wang N; College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan 610065, China.
  • Zhan Y; College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan 610065, China. Electronic address: yzhan@scu.edu.cn.
  • Yang F; College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan 610065, China.
Sci Total Environ ; 949: 175073, 2024 Nov 01.
Article en En | MEDLINE | ID: mdl-39089381
ABSTRACT
Emissions of nitrogen oxides (NOx) are a dominant contributor to ambient nitrogen dioxide (NO2) concentrations, but the quantitative relationship between them at an intracity scale remains elusive. The Chengdu 2021 FISU World University Games (July 22 to August 10, 2023) was the first world-class multisport event in China after the COVID-19 pandemic which led to a substantial decline in NOx emissions in Chengdu. This study evaluated the impact of variations in NOx emissions on NO2 concentrations at a fine spatiotemporal scale by leveraging this event-driven experiment. Based on ground-based and satellite observations, we developed a data-driven approach to estimate full-coverage hourly NO2 concentrations at 1 km resolution. Then, a random-forest-based meteorological normalization method was applied to decouple the impact of meteorological conditions on NO2 concentrations for every grid cell, the resulting data were then compared with the timely bottom-up NOx emissions. The SHapley-Additive-exPlanation (SHAP) method was employed to delineate the individual contributions of meteorological factors and various emission sources to the changes in NO2 concentrations. According to the full-coverage meteorologically normalized NO2 concentrations, a decrease in NOx emissions and favorable meteorological conditions accounted for 80 % and 20 % of the NO2 reduction, respectively, across Chengdu city during the control period. Within the strict control zone, a 30 % decrease in the meteorologically normalized NO2 concentrations was observed during the control period. The normalized NO2 concentrations demonstrated a strong correlation with NOx emissions (R = 0.96). Based on the SHAP analysis, traffic emissions accounted for 73 % of the reduction in NO2 concentrations, underscoring the significance of traffic control measures in improving air quality in urban areas. This study provides insights into the relationship between NO2 concentrations and NOx emissions using real-world data, which implies the substantial benefits of vehicle electrification for sustainable urban development.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos