A multivariate statistical method for susceptibility  analysis of debris flow in southwestern China

Ji, Feng; Dai, Zili; Li, Renjie

doi:https://doi.org/10.5194/nhess-20-1321-2020

Articles | Volume 20, issue 5

https://doi.org/10.5194/nhess-20-1321-2020

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

Special issue:

Advances in extreme value analysis and application to natural...

https://doi.org/10.5194/nhess-20-1321-2020

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

Articles | Volume 20, issue 5

Research article

|

18 May 2020

Research article |

| 18 May 2020

A multivariate statistical method for susceptibility analysis of debris flow in southwestern China

Feng Ji, Zili Dai, and Renjie Li

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Final revised paper (published on 18 May 2020)
Preprint (discussion started on 13 Dec 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'referee comment', Anonymous Referee #1, 23 Dec 2019
- RC3: 'A multivariate statistical method for susceptibility analysis of the debris flow in Southwest China', Anonymous Referee #3, 15 Jan 2020
  - AC3: 'Response to the comments of Anonymous Referee #3 for nhess-2019-349', Zili Dai, 11 Mar 2020
- AC1: 'Response to the comments of Anonymous Referee #1 for nhess-2019-349', Zili Dai, 11 Mar 2020
RC2: 'Comments to nhess-2019-349', Anonymous Referee #2, 10 Jan 2020
- AC2: 'Response to the comments of Anonymous Referee #2 for nhess-2019-349', Zili Dai, 11 Mar 2020

Peer-review completion

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

ED: Publish as is (23 Mar 2020) by Yasser Hamdi

AR by Zili Dai on behalf of the Authors (28 Mar 2020) Author's response Manuscript

Short summary

Southwest China is a severe disaster zone in terms of debris flow. To analyze the susceptibility to debris flows in this area, this study evaluates 70 typical debris flow gullies as statistical samples and proposes an empirical model based on quantification theory. A total of 10 debris flow gullies on the upstream of the Dadu River are analyzed to verify the reliability of the proposed model. The results show that the accuracy of the statistical model is 90 %.