Development and intercity transferability of land-use regression models for predicting ambient PM10, PM2.5, NO2 and O3 concentrations in northern Taiwan

Li, Zhiyuan; Ho, Kin-Fai; Chuang, Hsiao-Chi; Yim, Steve Hung Lam

doi:https://doi.org/10.5194/acp-21-5063-2021

Articles | Volume 21, issue 6

https://doi.org/10.5194/acp-21-5063-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Air quality research at street level (ACP/GMD inter-journal...

https://doi.org/10.5194/acp-21-5063-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 6

Research article

|

31 Mar 2021

Research article |

| 31 Mar 2021

Development and intercity transferability of land-use regression models for predicting ambient PM₁₀, PM_2.5, NO₂ and O₃ concentrations in northern Taiwan

Zhiyuan Li, Kin-Fai Ho, Hsiao-Chi Chuang, and Steve Hung Lam Yim

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Final revised paper (published on 31 Mar 2021)
Supplement to the final revised paper
Preprint (discussion started on 27 Oct 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review coments', Anonymous Referee #2, 13 Nov 2020
- AC1: 'Reply on RC1', Steve Hung Lam Yim, 29 Dec 2020
RC2: 'Referee's anonymous comments on acp-2020-950', Anonymous Referee #1, 24 Dec 2020
- AC2: 'Reply on RC2', Steve Hung Lam Yim, 29 Dec 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Steve Hung Lam Yim on behalf of the Authors (29 Dec 2020) Author's response Manuscript

ED: Publish as is (08 Jan 2021) by Sunling Gong

AR by Steve Hung Lam Yim on behalf of the Authors (18 Jan 2021) Manuscript

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Short summary

This study established land-use regression (LUR) models using only routine air quality measurement data to support long-term health studies in an Asian metropolitan area. The established LUR models captured the spatial variability in exposure to air pollution with remarkable predictive accuracy. This is the first Asian study to evaluate intercity transferability of LUR models, and it highlights that there exist uncertainties when transferring LUR models between nearby cities.