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Article
Peer-Review Record

Real-Time Leak Diagnosis in Water Distribution Systems Based on a Bank of Observers and a Genetic Algorithm

Water 2022, 14(20), 3289; https://doi.org/10.3390/w14203289
by Adrián Navarro-Díaz 1, Jorge Alejandro Delgado-Aguiñaga 2,*, Ildeberto Santos-Ruiz 3 and Vicenç Puig 4
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Water 2022, 14(20), 3289; https://doi.org/10.3390/w14203289
Submission received: 1 September 2022 / Revised: 1 October 2022 / Accepted: 9 October 2022 / Published: 18 October 2022
(This article belongs to the Section Water Resources Management, Policy and Governance)

Round 1

Reviewer 1 Report

See my attached comments.

Comments for author File: Comments.pdf

Author Response

RESPONSE TO REVIEWERS on paper WATER-1922664 “Real-time leak diagnosis in water distribution systems based on a bank of observers and a genetic algorithm”

Please revise the attached PDF file.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper investigated the Real-Time Leak Diagnosis in Water Distribution Systems Based on a Bank of Observers and a Genetic Algorithm. I recommend the following:

1. The proposed method should be compared againist the state-of-the-art classical method and show the percentage of improvement (if any).

2. In results and discussion, it is important to quantitively represnt the success rate of the leak detection form the proposed method and the classical method and compare these rates.

3. The quantitive overall accurcay of the proposed method should be presnted in the abstract and  conclusion to show how siginfact the propsed method.

 

Author Response

RESPONSE TO REVIEWERS on paper WATER-1922664 “Real-time leak diagnosis in water distribution systems based on a bank of observers and a genetic algorithm”

Please revise the attached PDF file.

Author Response File: Author Response.pdf

Reviewer 3 Report

1. I suggest adding a better description of a real-world WDN prior to jumping into details on the model. Such information would aid the reader in understanding how the model is or is not replicating real-world conditions.

2. What size leaks (see line 105) can be detected? Is this model targeting pin-hole leaks or larger leaks that would be akin to a water main breaking? I ask this question also in the context of the availability of instrumentation within a WDN. It seems like there would be limited pressure sensors and even electronically-read flowmeters on the user side (the far downstream) of the WDN.

3. In the experimental validation, the model was able to leverage knowing exactly where the pipes were. If this model were being applied to an existing, buried network, what uncertainty would that introduce into the model?

Author Response

RESPONSE TO REVIEWERS on paper WATER-1922664 “Real-time leak diagnosis in water distribution systems based on a bank of observers and a genetic algorithm”

Please revise the attached PDF file.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

I recommend acceptance of the revised version. The authors consided my comments in the revised version. 

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