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Article
Peer-Review Record

Study on Height Prediction of Water Flowing Fractured Zone in Deep Mines Based on Weka Platform

Sustainability 2023, 15(1), 737; https://doi.org/10.3390/su15010737
by Liyang Bai 1,2,3,4, Changlong Liao 2, Changxiang Wang 2,*, Meng Zhang 2, Fanbao Meng 5, Mingjin Fan 5 and Baoliang Zhang 6
Reviewer 1:
Reviewer 2: Anonymous
Sustainability 2023, 15(1), 737; https://doi.org/10.3390/su15010737
Submission received: 8 December 2022 / Revised: 22 December 2022 / Accepted: 28 December 2022 / Published: 31 December 2022
(This article belongs to the Special Issue Challenges and Strategies for Sustainable Development in Deep Mines)

Round 1

Reviewer 1 Report

The authors have developed practical methods and interfaces to assist in predicting the development height of water flowing fractured zones in deep mines. The work done by the author is meaningful and effective and the recommendations for this decision are as follows:

1.           The author needs to explain in detail in the "Introduction" what is the current research about the development height of water flowing fractured zones in deep mines. Moreover, the significance of the research should be presented in the "abstract" or "introduction" sections and the significance and progress of your research needs to be explained in "introduction" section. Some references should be cited as follows: (a) Insight into mineral flotation fundamentals through the DFT method. Int J Min Sci Technol 2021;31(6):983-994. (b) Investigation of collector mixtures on the flotation dynamics of low-rank coal. Fuel 2022; 327:125171.

2.           As mentioned in the introduction, the current empirical formulas are no longer applicable. What influence factors are taken into account by these empirical formulas and how are they calculated?

3.           What is the Hard rock lithology proportional coefficient. This paper introduces the calculation method of Hard rock lithology proportion coefficient.

4.           How does the Inclined length of working face affect the development height of the water-conducting fracture zone?

5.            In order to retain valid data, normalization and discretization are carried out. What is the specific calculation formula? It is suggested to increase the relevant theories in this aspect.

6.            What is the TP Rate, how is this parameter evaluated, There is no introduction in the paper.

7.            The coordinate axes of the related pictures should be unified, and the font and size should also be unified.

8.           It is suggested to further check the format of references.

Author Response

Thanks a lot for your hard work. Now we want to response your comments as below.

Comment 1: The author needs to explain in detail in the "Introduction" what is the current research about the development height of water flowing fractured zones in deep mines. Moreover, the significance of the research should be presented in the "abstract" or "introduction" sections and the significance and progress of your research needs to be explained in "introduction" section. Some references should be cited as follows: (a) Insight into mineral flotation fundamentals through the DFT method. Int J Min Sci Technol 2021;31(6):983-994. (b) Investigation of collector mixtures on the flotation dynamics of low-rank coal. Fuel 2022; 327:125171.

Response: Thank you very much. The calculation method in the 'three under' regulation is simple, but only one influencing factor of coal seam mining thickness is considered. Due to the large difference of mine occurrence conditions, it is only suitable for preliminary estimation. The theoretical calculation and numerical simulation method are better than the calculation method in the procedure, but there are shortcomings such as single calculation and simple model. The accuracy of similar material simulation test and field measurement is high, but the workload is heavy, the operation is complex and the cost is high. The prediction method proposed in this paper has comprehensive considerations, simple operation and high prediction accuracy.

 

Comment 2: Some of the units in the text are not standardized, for example: Table 1 Physical and mechanical parameters of sandstone under uniaxial compression.

Response: Thank you very much. These formulas only consider the influence factor of coal seam mining thickness. For example, the calculation formula of the height Hf of water flowing fractured zone in hard rock is as follows:

or                        

In the formula:  is mining thickness

 

Comment 3: What is the Hard rock lithology proportional coefficient. This paper introduces the calculation method of Hard rock lithology proportion coefficient.

Response: Thank you very much. Hard rock lithology proportion coefficient refers to the ratio of hard rock to statistical height above the roof of coal seam. The hard rock involved in statistics refers to sandstone, mixed rock and igneous rock. The specific calculation formula is as follows:

In the formula:  is height mining;  is the cumulative thickness of hard rock strata within the height range of the estimated water flowing fractured zone.

 

Comment 4: How does the Inclined length of working face affect the development height of the water flowing fractured zone?

Response: Thank you very much. Before the coal seam reaches full mining, the development height of the water flowing fractured zone gradually increases with the mining of the working face; when the coal seam is fully mined, the influence of the inclined length of the working face on the development of the high belt is not obvious.

 

Comment 5: In order to retain valid data, normalization and discretization are carried out. What is the specific calculation formula? It is suggested to increase the relevant theories in this aspect.

Response: Thank you very much. The normalized calculation formula is as follows:

In the formula:  is the sample before normalization,  is the normalized sample,  is the minimum value in the original sample,  is the maximum value in the original sample.

The calculation formula of discretization is as follows:

In the formula:  is the discretized sample,  is the maximum value of the normalized sample data,  is the minimum value of the normalized sample data,  is the step size.

 

Comment 6: What is the TP Rate, how is this parameter evaluated, There is no introduction in the paper. 

Response: Thank you very much. TP Rate represents the proportion of the predicted positive class. The higher the value, the higher the accuracy of the positive class prediction. 

 

Comment 7: The coordinate axes of the related pictures should be unified, and the font and size should also be unified.

Response: Thank you very much. We have checked the image of the entire document, corrected it, and unified the format.

 

Comment 8: It is suggested to further check the format of references.

Response: Thank you very much. We have used literature editing software to unify the format of references.

Author Response File: Author Response.docx

Reviewer 2 Report

This paper excavated a large number of failure data of water-conducting fracture zone in deep mine mining, adopted scientific methods, and establishes a simple and effective model, which can facilitate the operation of researchers and field workers. However, in order to meet the publishing standards, the author also needs to make the following modifications.
1.Keywords do not reflect the core word Weka platform mentioned in the title of this paper. It is suggested to modify the title or keywords.
2.It is mentioned in the paper that the empirical formulas in mining regulations are widely used to calculate the height of water-conducting fractured zone. Which formulas are they?
3.In the correlation analysis module, four factors affecting the height of water-conducting fractured zone are selected and the scatter diagram is established for analysis. How do these factors affect the development height of water-conducting fractured zone?
4.Mining height and seam thickness, whether these two factors are the same meaning. If they are different, they need to be distinguished.
5.In this paper, the visual interface is written based on VB computer language for the calculation of the height of water-conducting fracture zone, and it is suggested to add a software design flow chart.
6.The first part of the conclusion is not a summative point of view, so it is suggested to modify the conclusion.

Author Response

Thanks a lot for your hard work. Now we want to response your comments as below.

Comment 1: Keywords do not reflect the core word Weka platform mentioned in the title of this paper. It is suggested to modify the title or keywords.

Response: Thank you very much. The keywords of this paper have been modified. The modified keywords are as follows:

Keywords: water flowing fractured zone; Weka platform; Bayes classifier; neural network; support vector machine

 

Comment 2: It is mentioned in the paper that the empirical formulas in mining regulations are widely used to calculate the height of water-conducting fractured zone. Which formulas are they?

Response: Thank you very much. There are many empirical formulas, but only one factor of mining thickness is considered. For example, the formula for calculating the height of water flowing fractured zone Hf in hard rock is as follows:

or                        

In the formula:  is mining thickness

 

Comment 3: In the correlation analysis module, four factors affecting the height of water-conducting fractured zone are selected and the scatter diagram is established for analysis. How do these factors affect the development height of water-conducting fractured zone?

Response: Thank you very much. 

(1) Mining depth

According to the theory of mine pressure control, in a certain range, the greater the mining depth, the greater the mine pressure, mine pressure is proportional to the size and depth of coal mining.

(2) Coefficient of hard rock lithology ratio

The coefficient of hard rock lithology ratio refers to the ratio of hard rock to statistical height above the roof of coal seam. The hard rock participating in the statistics refers to sandstone, mixed rock and igneous rock. The specific calculation formula is as follows:

In the formula:  is height mining;  is the cumulative thickness of hard rock strata within the height range of the estimated water flowing fractured zone.

(3) Mining thickness

When the working face advances, periodic pressure will be generated, resulting in roof caving. With the increase of coal seam mining thickness, the plastic zone of overlying strata becomes larger, resulting in the height of caving zone is also larger.

(4) Inclined length of working face

Before the coal seam is fully mined, the development height of the water flowing fractured zone gradually increases with the mining of the working face; when the coal seam is fully mined, the influence of the inclined length of the working face on the development of the high belt is not obvious.

 

Comment 4: Mining height and seam thickness, whether these two factors are the same meaning. If they are different, they need to be distinguished.

Response: Thank you very much. Mining height and coal seam thickness are not the same meaning, mining height refers to the actual mining height of the shearer, only when the mining height is equal to the thickness of the coal seam. All referred to in this article are mining heights, so there is no need to distinguish.

 

Comment 5: In this paper, the visual interface is written based on VB computer language for the calculation of the height of water-conducting fracture zone, and it is suggested to add a software design flow chart.

Response: Thank you very much. The software design flow chart is as follows:

 

Fig.6 Process design of the software

 

Comment 6: The first part of the conclusion is not a summative point of view, so it is suggested to modify the conclusion.

Response: Thank you very much. The conclusions of this paper have been modified. The modified conclusions are as follows:

(1) Based on the Weka platform, 33 groups of measured data of water flowing fractured zone height are used as training samples, and Naive Bayes, artificial neural network and support vector machine models are used for training respectively. The prediction results are compared and analyzed by confusion matrix, node error rate and detailed accuracy. It is concluded that the artificial neural network model is the best.

(2) Based on artificial neural network, taking mining depth, coefficient of hard rock lithology ratio, height mining and inclined length of working face as the main factors, the accuracy of the height prediction model of water flowing fractured zone is 80%, which has achieved good prediction effect and can provide reference for the prediction of height failure grade of water flowing fractured zone.

(3) Based on VB computer language, the height prediction system of water flowing fractured zone is developed. The system is simple to operate, practical and convenient, and realizes the height prediction of water flowing fractured zone under different methods.

Author Response File: Author Response.docx

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