标题: <p>Performance comparison of Fengyun-4A and Himawari-8 in PM2.5 estimation in China & nbsp;</p>

作者: Hu, YQ (Hu, Yuqing); Zeng, C (Zeng, Chao); Li, TW (Li, Tongwen); Shen, HF (Shen, Huanfeng)

来源出版物: ATMOSPHERIC ENVIRONMENT 卷: 271 文献号: 118898 DOI: 10.1016/j.atmosenv.2021.118898 出版年: FEB 15 2022

摘要: The increase in the PM2.5 concentration has become the focus of public concern due to the health risks it poses. In contrast to the sparsely distributed ground stations, geostationary satellites can provide a unique method of frequently monitoring national-scale PM2.5 concentrations. The Himawari-8 and Fengyun-4A (FY-4A) satellites have both been used to monitor PM2.5 concentrations due to their high spatial (5 km and 4 km, respectively) and temporal resolutions (hourly), but it is still not clear which satellite is more suitable for such studies. In this study, the hourly PM(2.5)concentrations were estimated based on a deep belief network using top-of-atmosphere (TOA) reflectance data and other auxiliary variables from April 2018 to March 2019. To comprehensively and effectively verify the accuracy of the results, three cross-validation methods were applied. The evaluation indexes of FY-4A were slightly higher than those of Himawari-8. The distributions of their estimated PM2.5 concentration mappings were consistent in terms of the overall trend, but they exhibit regional inconsistencies. In-depth analysis of the results revealed that the main reasons for these inconsistencies are the differences in the spatial resolution, training data, satellite platforms, and retrieval algorithms. Through comparative analysis, the effects of the satellite platforms and retrieval algorithms were determined to be negligible. In general, the FY-4A satellite was found to be more adaptable to PM2.5 concentration estimation in China due to its wide coverage and high estimation accuracy.& nbsp;

入藏号: WOS:000788223800003

语言: English

文献类型: Article

作者关键词: Air pollution; Geostationary satellite; FY-4A; Himawari-8; <p>PM2.5</p>

地址: [Hu, Yuqing; Zeng, Chao; Shen, Huanfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Shen, Huanfeng] Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

[Shen, Huanfeng] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

[Li, Tongwen] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519082, Peoples R China.

通讯作者地址: Zeng, C (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: zengchao@whu.edu.cn

影响因子：4.798