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Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM2.5 and PM10) Concentrations
 
 
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Volume 19
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Article
Peer-Review Record

PM2.5 Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model

Int. J. Environ. Res. Public Health 2022, 19(17), 10811; https://doi.org/10.3390/ijerph191710811
by Hang Zhang 1, Yong Liu 1,2,*, Dongyang Yang 1,2 and Guanpeng Dong 1,2,3,*
Reviewer 2: Anonymous
Int. J. Environ. Res. Public Health 2022, 19(17), 10811; https://doi.org/10.3390/ijerph191710811
Submission received: 21 July 2022 / Revised: 23 August 2022 / Accepted: 26 August 2022 / Published: 30 August 2022
(This article belongs to the Special Issue Advances in Air Pollution Meteorology Research)

Round 1

Reviewer 1 Report

The article is important for the explored PM2.5 concentration variability and appropriate to the journal theme. The results are important to explore the health risks of PM2.5 pollution exposure. In conclusion, a further methodological extension to simultaneously modelling monitoring station and remote sensing-based PM2.5 concentration data, as well as the temporal dependency, is on top of our future research priorities ok. And environmental policies?? (suggestion, discuss the importance).

Comments for author File: Comments.pdf

Author Response

Please see the attachment, in which the point-by-point response to the two reviewers' comments are provided.

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear Authors,

The study's subject falls into the target Journal's aims.

As a first consideration, it is necessary to indicate that air pollution modelling is a relevant aspect of public health to protect human beings' health. In this sense, particulate matter modelling is paramount, especially in particles with an aerodynamic diameter lower than 2.5 µm. The structure of the paper follows the scientific directrices.

General comments

The editing of English should be improved; there are grammatical errors in the paper.

Specific comments

In the abstract appear acronyms that have not previously been defined.

The objective of publishing a research work is the dissemination of its scientific content and potential use by other researchers. For this reason, the authors should upgrade the methodological development, which should be enhanced to ease its implementation by other research groups worldwide (major revision). In this sense, the methodology reported is complex to understand.

Figure 6. The text could be highlighted to visualize better.

Author Response

Please see the attachment, in which the point-by-point response to the two reviewers' comments are provided.

Author Response File: Author Response.pdf

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