Spatiotemporal patterns of PM10 concentrations over China during 2005–2016: A satellite-based estimation using the random forests approach

Chen, G; Wang, Yichao; Li, S; Cao, W; Ren, H; Knibbs, LD; Abramson, MJ; Guo, Y

Spatiotemporal patterns of PM10 concentrations over China during 2005–2016: A satellite-based estimation using the random forests approach

Version 2 2024-06-05, 11:03

Version 1 2021-07-23, 08:31

journal contribution

posted on 2024-06-05, 11:03 authored by G Chen, Yichao WangYichao Wang, S Li, W Cao, H Ren, LD Knibbs, MJ Abramson, Y Guo

Spatiotemporal patterns of PM10 concentrations over China during 2005–2016: A satellite-based estimation using the random forests approach

History

Journal

Environmental Pollution

Volume

242

Pagination

605-613

Location

England

Publisher DOI

https://doi.org/10.1016/j.envpol.2018.07.012

ISSN

0269-7491

eISSN

1873-6424

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Issue

Pt A

Publisher

ELSEVIER SCI LTD

Usage metrics

Keywords

Science & Technology Life Sciences & Biomedicine Environmental Sciences Environmental Sciences & Ecology PM10 AOD Random forests China AEROSOL OPTICAL DEPTH ESTIMATING PM2.5 CONCENTRATIONS AMBIENT AIR-POLLUTION LAND-USE REGRESSION GROUND-LEVEL PM2.5 PUBLIC-HEALTH UNITED-STATES LUNG-CANCER MODIS PARTICULATE 4105 Pollution and contamination

Licence

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

Spatiotemporal patterns of PM10 concentrations over China during 2005–2016: A satellite-based estimation using the random forests approach

History

Journal

Volume

Pagination

Location

Publisher DOI

ISSN

eISSN

Language

Publication classification

Issue

Publisher

Usage metrics

Categories

Keywords

Licence

Exports