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Review
Peer-Review Record

Recent Technological and Methodological Advances for the Investigation of Submarine Landslides

J. Mar. Sci. Eng. 2022, 10(11), 1728; https://doi.org/10.3390/jmse10111728
by Zhigang Shan 1,2, Hao Wu 1,2,3,*, Weida Ni 1,2, Miaojun Sun 1,2, Kuanjun Wang 1,2,*, Liuyuan Zhao 1,2, Yihuai Lou 4, An Liu 1,2, Wei Xie 1,2, Xing Zheng 1,2 and Xingsen Guo 5
Reviewer 1: Anonymous
Reviewer 2:
J. Mar. Sci. Eng. 2022, 10(11), 1728; https://doi.org/10.3390/jmse10111728
Submission received: 15 October 2022 / Revised: 3 November 2022 / Accepted: 9 November 2022 / Published: 11 November 2022
(This article belongs to the Special Issue Advances in Marine Engineering: Geological Environment and Hazards)

Round 1

Reviewer 1 Report

Line 049: Please check if the pipe lines could be replaced with underwater cables.

Line 77: It is recommended to describe the reason why the topic has become a hot spot with some scientific or socioeconomic events or issues related to the topic.

Line 109: The name of the sea in the figure is recommended to be described as East/Japan Sea instead of Japan Sea. The naming is under a long-lasting argument between two adjacent countries (East Sea or Japan Sea).

Line 120: The driving stress could be decreased as well as increased depending on the directional values of listed factors (e.g. positive or negative change in sea level). 

Line 163: situs is better to be changed into sites

Line 433-: Numerical numbering is not necessary. Summarizing and concluding remarks could be added before and after the listed sentences.

 

Author Response

The authors would like to thank you for taking the time to review our manuscript. We have addressed all your concerns. Please check the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper's idea and written overall are very good the abstract is representative and the introduction  is reasonable  and covers the topics but I think I was expecting to know more about models such  as machine learning and big data fusion technology, for example, the programming model such as python used in machine learning the package 

Author Response

We appreciate your thoughtful review of our manuscript.

The future research directions of in-situ investigation techniques, physical simulation, and numerical simulation methods are discussed in section 6. We suggest that machine learning can be used to process heterogeneous data from multiple sources and is an excellent supplement compared with numerical simulations.

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