Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data
文献类型：期刊论文
| 作者 | Li, Daichao3,4; Xu, Fangnian3,4; Chen, Zuoqi3,4; Xie, Xiaowei2; Fan, Kunkun3,4; Zeng, Zhan1 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 914页码:13 |
| ISSN号 | 0048-9697 |
| 关键词 | PM2.5 simulation NPP-VIIRS Mobile monitoring Urban functional areas GWR-GBDT Spatiotemporal analysis |
| DOI | 10.1016/j.scitotenv.2024.169955 |
| 通讯作者 | Chen, Zuoqi(zqchen@fzu.edu.cn) |
| 英文摘要 | 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 8:00-12:00 on the following day, and less so during 12:00-18:00, 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 8:00-12:00, 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. |
| WOS关键词 | REGRESSION-MODEL ; INTRAURBAN AREA ; URBAN ; PM10 |
| 资助项目 | Strategic Priority Research Pro-gram of the Chinese Academy of Sciences[XDA23100502] ; National Natural Science Foundation of China[42301523] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001166358400001 |
| 资助机构 | Strategic Priority Research Pro-gram of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202864]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Zuoqi |
| 作者单位 | 1.Hunan Cartog Publishing House, Changsha 410007, Hunan, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350108, Peoples R China 4.Fuzhou Univ, Acad Digital China Fujian, Fuzhou 350108, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Daichao,Xu, Fangnian,Chen, Zuoqi,et al. Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,914:13. |
| APA | Li, Daichao,Xu, Fangnian,Chen, Zuoqi,Xie, Xiaowei,Fan, Kunkun,&Zeng, Zhan.(2024).Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data.SCIENCE OF THE TOTAL ENVIRONMENT,914,13. |
| MLA | Li, Daichao,et al."Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data".SCIENCE OF THE TOTAL ENVIRONMENT 914(2024):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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