Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models

Jiaxin Chen; Shengqiang Zhu; Peng Wang; Zhonghua Zheng; Su Shi; Xinyue Li; Chang Xu; Kexin Yu; Renjie Chen; Haidong Kan; Hongliang Zhang; Xia Meng

doi:10.1016/j.scitotenv.2024.171831

Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models

Jiaxin Chen
, Shengqiang Zhu
, Peng Wang
, Zhonghua Zheng
, Su Shi
, Xinyue Li
, Chang Xu
, Kexin Yu
, Renjie Chen
, Haidong Kan
, Hongliang Zhang
, Xia Meng

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	171831
Journal	Science of the Total Environment
Volume	926
DOIs	https://doi.org/10.1016/j.scitotenv.2024.171831
Publication status	Published - 1 May 2024

Access to Document

10.1016/j.scitotenv.2024.171831

https://linkinghub.elsevier.com/retrieve/pii/S0048969724019740

Cite this

@article{089eb3f146fb48ffa0189cf6af5069a1,

title = "Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models",

author = "Jiaxin Chen and Shengqiang Zhu and Peng Wang and Zhonghua Zheng and Su Shi and Xinyue Li and Chang Xu and Kexin Yu and Renjie Chen and Haidong Kan and Hongliang Zhang and Xia Meng",

year = "2024",

month = may,

day = "1",

doi = "10.1016/j.scitotenv.2024.171831",

language = "English",

volume = "926",

pages = "171831",

journal = "Science of the Total Environment",

issn = "0048-9697",

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TY - JOUR

T1 - Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models

AU - Chen, Jiaxin

AU - Zhu, Shengqiang

AU - Wang, Peng

AU - Zheng, Zhonghua

AU - Shi, Su

AU - Li, Xinyue

AU - Xu, Chang

AU - Yu, Kexin

AU - Chen, Renjie

AU - Kan, Haidong

AU - Zhang, Hongliang

AU - Meng, Xia

PY - 2024/5/1

Y1 - 2024/5/1

U2 - 10.1016/j.scitotenv.2024.171831

DO - 10.1016/j.scitotenv.2024.171831

M3 - Article

SN - 0048-9697

VL - 926

SP - 171831

JO - Science of the Total Environment

JF - Science of the Total Environment

ER -