Displacement Prediction Method for Rainfall-Induced Landslide Using Improved Completely Adaptive Noise Ensemble Empirical Mode Decomposition, Singular Spectrum Analysis, and Long Short-Term Memory on Time Series Data

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

It is necessary to specify the reference of Figure 2 and 3.

The use of the term CEEMDAN and similar items as the title should be corrected. Complete the words.

Figures and graphs should be modified according to the format of the magazine.

The accuracy of the models and method is still not high. How can the cause of this matter be interpreted and explained?

Analysis of stability and its mechanism will be explained more in this research.

According to different mechanisms in the stability analysis of soil slopes, what is the suggestion for estimating the type of landslide in the prediction of this model?

 

 

Comments on the Quality of English Language

A minor revision is suggested.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The paper presents a novel combination of ICEEMDAN, SSA, and LSTM models for predicting landslide displacement, well-explained and justified, which appears to contribute significantly to the field.

Results are presented with appropriate statistical analysis, including RMSE, MAE, and R^2 values, to support the claims.

However, I believe that the authors should present more details about the stages of data preprocessing and parameter adjustment for the models.

 

Even in the discussion section, it would be good to add more details regarding the practical implications of the authors' findings for the management and prediction of disasters in real-world scenarios.

Comments on the Quality of English Language

In my opinion, the manuscript must be proofread both for grammatical errors and for clarity of expression.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The data partitioning into 75 sets should be made clear. How was this done. Please see line 137.

Define singular entropy . Provide equation for it.

The major criticism is that training data set is large. Please perform the training by excluding 2010 data and including 2010 and 2011 for forecasting,

Author Response

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Author Response File: Author Response.pdf