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Article
Peer-Review Record

Enhancing Wind Erosion Assessment of Metal Structures on Dry and Degraded Lands through Machine Learning

Land 2023, 12(8), 1503; https://doi.org/10.3390/land12081503
by Marta Terrados-Cristos *, Francisco Ortega-Fernández, Marina Díaz-Piloñeta, Vicente Rodríguez Montequín and José Valeriano Álvarez Cabal
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3:
Land 2023, 12(8), 1503; https://doi.org/10.3390/land12081503
Submission received: 16 June 2023 / Revised: 22 July 2023 / Accepted: 26 July 2023 / Published: 28 July 2023
(This article belongs to the Special Issue Feature Papers for Land Innovations – Data and Machine Learning)

Round 1

Reviewer 1 Report

The manuscript "Enhancing Wind-Erosion Assessment of Metal structures on Dry and Degraded Lands through Machine Learning" has been submitted for publication in land JournalThis is an interesting work and also has important value for engineering construction guidance in arid areas. However, this is only a simple research showing a relation between metal loss and wind erosion, and needs much data to get further improvement about developing a predictive model. I recommend a major revision before it could be published, which consider the following remarks. 

1. Data sources form literature need to be further clarified and more details, such as from field or lab test? Only come from references [51] [52] [53]? and how to Data standardization

2. L510-511, I don't understand references [37] " H. A. Khanouki, Development of Erosion Equations for Solid Particle and Liquid Droplet Impact. University of Tulsa, 2015.", should belongs to a dissertation or report?

4. how to deal with different data from different literature?

5. Why not to consider climate factors in different region?

6. Please explain the meaning for " U2.41" in the formula (5)

7. Why to choose 75% of the data for training, and 25% for testing in model?

8. Hope to have discussion sections in this manuscript for your research?

Line 66-67: As height increases, the negative impact of the process becomes less severe. however, I dont understand the impact height for different metal during wind erosion.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

interesting approach. It appears more can be said about drylands and the importance of the study. Clarity on how drylands were modelled in the lab and its relatability to real-world conditions would be helpful. What would in-situ challenges be in actual deserts?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Dear Authors,

I have had the pleasure to go through the paper entitled "Enhancing Wind-Erosion Assessment of Metal Structures on Dry and Degraded Lands through Machine Learning", which I have found to be interesting, sound and worth considering for publication in the Land (MDPI) Journal.

I have no major concern regarding the paper framing, but only minor concerns for which I have laid out some comments in the manuscript attached.

Comments for author File: Comments.pdf

The English is fine, only minor editing is required.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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