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Accuracy assessment on eight public PM2.5 concentration datasets across China

文献类型：期刊论文

作者Di, Yangchen4; Gao, Xizhang3; Liu, Haijiang2; Li, Baolin; Sun, Cong2; Yuan, Yecheng; Ni, Yong2
刊名ATMOSPHERIC ENVIRONMENT
出版日期2024-12-01
卷号338页码:120799
关键词Accuracy assessment Remote sensing retrieval China
DOI10.1016/j.atmosenv.2024.120799
产权排序1
文献子类Article
英文摘要Economic development has historically led to environmental challenges, notably in China where fine particulate matter with an aerodynamic diameter no greater than 2.5 mu m (PM2.5), has significantly influenced human health and social issues. However, the scarcity and uneven distribution of ground-based PM2.5 observation sites hinder studies about air pollution impacts at regional and national scales. Although PM2.5 datasets based on remote sensing retrieval algorithms have provided long-term and high-resolution gridded near surface PM2.5 concentration data recently, comparisons on accuracy between datasets were not conducted by previous studies. This study evaluated eight publicly accessible PM2.5 datasets (i.e., CHAP, GHAP, GWRPM25, HQQPM25, LGHAP v1, LGHAP v2, MuAP, and TAP) across China using independent records at 1020 monitoring sites from 2017 to 2022 at monthly and annual granularities. Mean Absolute Errors (MAEs) showed a seasonal trend, with higher errors in winter and lower in summer. Datasets exhibited a bias towards overestimation or underestimation based on concentration levels. CHAP, GWRPM25, and HQQPM25 had better estimation control. Additionally, the incorporation of spatiotemporal features into original machine learning based algorithms was likely credited to the outperformance compared to conventional PM2.5 simulation methods. Overall, this study contributed to comprehensive references for PM2.5 concentration dataset users and potential explanations to the variations within and among datasets.
WOS关键词TRACKING AIR-POLLUTION ; AEROSOL OPTICAL DEPTH ; SPATIAL-DISTRIBUTION ; PRODUCTS ; LAND ; VARIABILITY ; POLLUTANTS ; LGHAP ; AOD
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:001314237800001
源URL[http://ir.igsnrr.ac.cn/handle/311030/207916]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Gao, Xizhang
作者单位1.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Di, Yangchen,Gao, Xizhang,Liu, Haijiang,et al. Accuracy assessment on eight public PM2.5 concentration datasets across China[J]. ATMOSPHERIC ENVIRONMENT,2024,338:120799.
APA Di, Yangchen.,Gao, Xizhang.,Liu, Haijiang.,Li, Baolin.,Sun, Cong.,...&Ni, Yong.(2024).Accuracy assessment on eight public PM2.5 concentration datasets across China.ATMOSPHERIC ENVIRONMENT,338,120799.
MLA Di, Yangchen,et al."Accuracy assessment on eight public PM2.5 concentration datasets across China".ATMOSPHERIC ENVIRONMENT 338(2024):120799.

入库方式： OAI收割

来源：地理科学与资源研究所

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