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.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-1321-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A multivariate statistical method for susceptibility analysis of debris flow in southwestern China
Feng Ji
State Key Laboratory of Geohazard Prevention and Geoenvironment
Protection, Chengdu University of Technology, Chengdu, 610059, China
Zili Dai
CORRESPONDING AUTHOR
Department of Civil Engineering, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
Renjie Li
State Key Laboratory of Geohazard Prevention and Geoenvironment
Protection, Chengdu University of Technology, Chengdu, 610059, China
Viewed
Total article views: 2,483 (including HTML, PDF, and XML)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,767 | 650 | 66 | 2,483 | 71 | 80 |
- HTML: 1,767
- PDF: 650
- XML: 66
- Total: 2,483
- BibTeX: 71
- EndNote: 80
Cumulative views and downloads
(calculated since 13 Dec 2019)
Total article views: 2,032 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 May 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,495 | 477 | 60 | 2,032 | 64 | 75 |
- HTML: 1,495
- PDF: 477
- XML: 60
- Total: 2,032
- BibTeX: 64
- EndNote: 75
Total article views: 451 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Dec 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
272 | 173 | 6 | 451 | 7 | 5 |
- HTML: 272
- PDF: 173
- XML: 6
- Total: 451
- BibTeX: 7
- EndNote: 5
Viewed (geographical distribution)
Total article views: 2,483 (including HTML, PDF, and XML)
Thereof 2,160 with geography defined
and 323 with unknown origin.
Total article views: 2,032 (including HTML, PDF, and XML)
Thereof 1,793 with geography defined
and 239 with unknown origin.
Total article views: 451 (including HTML, PDF, and XML)
Thereof 367 with geography defined
and 84 with unknown origin.
Country | # | Views | % |
---|---|---|---|
United States of America | 1 | 683 | 27 |
China | 2 | 566 | 22 |
Germany | 3 | 204 | 8 |
India | 4 | 62 | 2 |
Ireland | 5 | 44 | 1 |
Country | # | Views | % |
---|---|---|---|
China | 1 | 527 | 25 |
United States of America | 2 | 518 | 25 |
Germany | 3 | 162 | 7 |
India | 4 | 56 | 2 |
Ireland | 5 | 41 | 2 |
Country | # | Views | % |
---|---|---|---|
United States of America | 1 | 165 | 36 |
Germany | 2 | 42 | 9 |
China | 3 | 39 | 8 |
Canada | 4 | 21 | 4 |
France | 5 | 10 | 2 |
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
- 683
1
683
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
- 527
1
527
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
- 165
1
165
Cited
16 citations as recorded by crossref.
- Physical process-based runout modeling and hazard assessment of catastrophic debris flow using SPH incorporated with ArcGIS: A case study of the Hongchun gully H. Cheng et al. 10.1016/j.catena.2022.106052
- Three-dimensional modeling of the impact behavior of debris flows in areas affected by earthquakes Z. Dai et al. 10.1007/s11069-023-05928-9
- Dynamic process of a typical slope debris flow: a case study of the wujia gully, Zengda, Sichuan Province, China Y. Shunyu et al. 10.1007/s11069-021-05194-7
- Mapping the territories of the mountain-foothill zone of Tajikistan exposed to mudflows M. Safarov et al. 10.1007/s11629-024-9020-2
- Quantitative physical model of vulnerability of buildings to urban flow slides in construction solid waste landfills: a case study of the 2015 Shenzhen flow slide H. Cheng et al. 10.1007/s11069-022-05239-5
- Study on the Source of Debris Flow in the Northern Scenic Spot of Changbai Mountain Based on Multi-Source Data J. Yan et al. 10.3390/rs15092473
- Debris Flow Assessment in the Gaizi-Bulunkou Section of Karakoram Highway N. Jiang et al. 10.3389/feart.2021.660579
- Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al. 10.1007/s11069-022-05487-5
- Study on debris flow vulnerability of ensemble learning model based on spy technology A case study of upper Minjiang river basin Y. Chen et al. 10.1038/s41598-025-03479-6
- SPH-Based Numerical Study on the Influence of Baffle Height and Inclination on the Interaction between Granular Flows and Baffles H. Cheng et al. 10.3390/w14193063
- A hybrid-optimized Random Forest interpretable model for debris flow susceptibility by prior model-based negative sampling H. Wen et al. 10.1016/j.asr.2025.04.055
- Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture Y. Li et al. 10.1007/s10064-024-03657-2
- Numerical Investigation of Rockfall and Cascading Debris Flow Disasters Caused by Extreme Rainfall: A Case Study of Huashan Mountain in Jinan, China T. Kong et al. 10.1007/s40098-025-01197-4
- Risk Assessment of Population Loss Posed by Earthquake-Landslide-Debris Flow Disaster Chain: A Case Study in Wenchuan, China X. Han et al. 10.3390/ijgi10060363
- Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
- Numerical analysis of debris flow erosion in the mountainous areas affected by the 2008 Wenchuan earthquake using a depth-averaged two-phase model H. Cheng et al. 10.1007/s11069-022-05669-1
16 citations as recorded by crossref.
- Physical process-based runout modeling and hazard assessment of catastrophic debris flow using SPH incorporated with ArcGIS: A case study of the Hongchun gully H. Cheng et al. 10.1016/j.catena.2022.106052
- Three-dimensional modeling of the impact behavior of debris flows in areas affected by earthquakes Z. Dai et al. 10.1007/s11069-023-05928-9
- Dynamic process of a typical slope debris flow: a case study of the wujia gully, Zengda, Sichuan Province, China Y. Shunyu et al. 10.1007/s11069-021-05194-7
- Mapping the territories of the mountain-foothill zone of Tajikistan exposed to mudflows M. Safarov et al. 10.1007/s11629-024-9020-2
- Quantitative physical model of vulnerability of buildings to urban flow slides in construction solid waste landfills: a case study of the 2015 Shenzhen flow slide H. Cheng et al. 10.1007/s11069-022-05239-5
- Study on the Source of Debris Flow in the Northern Scenic Spot of Changbai Mountain Based on Multi-Source Data J. Yan et al. 10.3390/rs15092473
- Debris Flow Assessment in the Gaizi-Bulunkou Section of Karakoram Highway N. Jiang et al. 10.3389/feart.2021.660579
- Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al. 10.1007/s11069-022-05487-5
- Study on debris flow vulnerability of ensemble learning model based on spy technology A case study of upper Minjiang river basin Y. Chen et al. 10.1038/s41598-025-03479-6
- SPH-Based Numerical Study on the Influence of Baffle Height and Inclination on the Interaction between Granular Flows and Baffles H. Cheng et al. 10.3390/w14193063
- A hybrid-optimized Random Forest interpretable model for debris flow susceptibility by prior model-based negative sampling H. Wen et al. 10.1016/j.asr.2025.04.055
- Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture Y. Li et al. 10.1007/s10064-024-03657-2
- Numerical Investigation of Rockfall and Cascading Debris Flow Disasters Caused by Extreme Rainfall: A Case Study of Huashan Mountain in Jinan, China T. Kong et al. 10.1007/s40098-025-01197-4
- Risk Assessment of Population Loss Posed by Earthquake-Landslide-Debris Flow Disaster Chain: A Case Study in Wenchuan, China X. Han et al. 10.3390/ijgi10060363
- Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
- Numerical analysis of debris flow erosion in the mountainous areas affected by the 2008 Wenchuan earthquake using a depth-averaged two-phase model H. Cheng et al. 10.1007/s11069-022-05669-1
Latest update: 17 Jul 2025
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 %.
Southwest China is a severe disaster zone in terms of debris flow. To analyze the susceptibility...