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Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data.
Li, Daichao; Xu, Fangnian; Chen, Zuoqi; Xie, Xiaowei; Fan, Kunkun; Zeng, Zhan.
Afiliación
  • Li D; The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350108, China; Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China.
  • Xu F; The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350108, China; Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China.
  • Chen Z; The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350108, China; Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China. Electronic address: zqchen@fzu.edu.cn.
  • Xie X; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
  • Fan K; The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350108, China; Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, China.
  • Zeng Z; Hunan Cartographic Publishing House, Changsha, Hunan 410007, China.
Sci Total Environ ; 914: 169955, 2024 Mar 01.
Article en En | MEDLINE | ID: mdl-38211858
ABSTRACT
Human activity plays a crucial role in influencing PM2.5 concentration and can be assessed through nighttime light remote sensing. Therefore, it is important to investigate whether the nighttime light brightness can enhance the accuracy of PM2.5 simulation in different stages. Utilizing PM2.5 mobile monitoring data, this study introduces nighttime lighting brightness as an additional factor in the PM2.5 simulation model across various time periods. It compares the differences in simulation accuracy, explores the impact of nocturnal human activities on PM2.5 concentrations at different periods of the following day, and analyzes the spatial and temporal pollution pattern of PM2.5 in urban functional areas. The results show that (1) the incorporation of nighttime lighting brightness effectively enhances the model's accuracy (R2), with an improvement ranging from 0.04 to 0.12 for different periods ranges. (2) the model's accuracy improves more prominently during 800-1200 on the following day, and less so during 1200-1800, as the PM2.5 from human activities during the night experiences a strong aggregation effect in the morning of the next day, with the effect on PM2.5 concentration declining after diffusion until the afternoon. (3) PM2.5 is primarily concentrated in urban functional areas including construction sites, roads, and industrial areas during each period. But in the period of 800-1200, there is a significant level of PM2.5 pollution observed in commercial and residential areas, due to the human activities that occurred the previous night.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies 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
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos