Classification and susceptibility assessment of debris flow  based on a semi-quantitative method combination of the fuzzy <i>C</i>-means algorithm, factor analysis and efficacy coefficient

Liang, Zhu; Wang, Changming; Han, Songling; Ullah Jan Khan, Kaleem; Liu, Yiao

doi:https://doi.org/10.5194/nhess-20-1287-2020

Articles | Volume 20, issue 5

https://doi.org/10.5194/nhess-20-1287-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Resilience to risks in built environments

https://doi.org/10.5194/nhess-20-1287-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 5

Research article

|

14 May 2020

Research article |

| 14 May 2020

Classification and susceptibility assessment of debris flow based on a semi-quantitative method combination of the fuzzy C-means algorithm, factor analysis and efficacy coefficient

Zhu Liang, Changming Wang, Songling Han, Kaleem Ullah Jan Khan, and Yiao Liu

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Final revised paper (published on 14 May 2020)
Preprint (discussion started on 30 Jan 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'A picture is partly blurred', Li JiaXin, 29 Feb 2020
- SC2: 'Modification', Zhu Liang, 01 Mar 2020
SC3: 'DISCUSSION', Xiu He, 01 Mar 2020
- AC1: 'Modification', Zhu Liang, 01 Mar 2020
SC4: 'DISCUSSION', Jen Haddy, 02 Mar 2020
- AC2: 'Modification', Zhu Liang, 02 Mar 2020
RC1: 'Some minor revisions', Daniele Masi, 02 Mar 2020
- AC3: 'Modification', Zhu Liang, 02 Mar 2020
AC3: 'Modification', Zhu Liang, 02 Mar 2020
RC2: 'Refree's comment', Anonymous Referee #2, 30 Mar 2020
- AC4: 'Modification', Zhu Liang, 31 Mar 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (15 Apr 2020) by Mattia Leone

AR by Zhu Liang on behalf of the Authors (16 Apr 2020) Author's response Manuscript

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Short summary

The present study built a semi-quantitative classification and susceptibility assessment method for a study area, combining multiple mathematical methods and 3S technologies. The results have been verified with field investigation and other evaluation methods. Different methods have their own advantages and disadvantages, and some methods are complementary to a certain extent, so it is desirable to enhance the rationality of the application through the combination of multiple methods.