Developing a Groundwater Quality Assessment in Mexico: A GWQI-Machine Learning Model

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Well written and useful demonstration of why WQI is so useful, but the most important part is the selection of the correct parameters to include.

 

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The manuscript is generally well-structured and clearly articulated. However, some sentences are lengthy and complex. They would benefit from being divided into shorter, more concise statements to improve overall readability

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

This study developing a new groundwater quality index ( 𝐺 𝑊𝑄𝐼 ) through the integration of machine learning (ML) models. It is recommended that the authors make minor revisions. The specific details are as follows:

 

1) The abstract needs to be further refined to highlight the main findings of this study and to clarify its significance.

 

2) In the Materials and Methods section, the basis and rationale for selecting these evaluation methods are explained.

 

3) It is recommended to add a section on the limitations and shortcomings of this study.

 

 

4) The notation of aqueous chemical components should be unified in the manuscript, such as NO₃⁻ and NO₃, and so on.

Author Response

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Author Response File: Author Response.pdf