Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-41-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-19-41-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Study on the combined threshold for gully-type debris flow early warning
Jian Huang
CORRESPONDING AUTHOR
State Key Laboratory of Geohazard Prevention and Geoenvironment
Protection Chengdu University of Technology, Chengdu, Sichuan 610059, China
Theodoor Wouterus Johannes van Asch
State Key Laboratory of Geohazard Prevention and Geoenvironment
Protection Chengdu University of Technology, Chengdu, Sichuan 610059, China
Faculty of Geosciences, Utrecht University, Heidelberglaan 2, 3584, CS, the Netherlands
Changming Wang
State Key Laboratory of Geohazard Prevention and Geoenvironment
Protection Chengdu University of Technology, Chengdu, Sichuan 610059, China
Qiao Li
State Key Laboratory of Geohazard Prevention and Geoenvironment
Protection Chengdu University of Technology, Chengdu, Sichuan 610059, China
Viewed
Total article views: 3,819 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Aug 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,321 | 1,269 | 229 | 3,819 | 233 | 243 |
- HTML: 2,321
- PDF: 1,269
- XML: 229
- Total: 3,819
- BibTeX: 233
- EndNote: 243
Total article views: 3,056 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Jan 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,888 | 960 | 208 | 3,056 | 221 | 229 |
- HTML: 1,888
- PDF: 960
- XML: 208
- Total: 3,056
- BibTeX: 221
- EndNote: 229
Total article views: 763 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Aug 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 433 | 309 | 21 | 763 | 12 | 14 |
- HTML: 433
- PDF: 309
- XML: 21
- Total: 763
- BibTeX: 12
- EndNote: 14
Viewed (geographical distribution)
Total article views: 3,819 (including HTML, PDF, and XML)
Thereof 3,391 with geography defined
and 428 with unknown origin.
Total article views: 3,056 (including HTML, PDF, and XML)
Thereof 2,683 with geography defined
and 373 with unknown origin.
Total article views: 763 (including HTML, PDF, and XML)
Thereof 708 with geography defined
and 55 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
17 citations as recorded by crossref.
- Rainfall early warning threshold and its spatial distribution of rainfall-induced landslides in China H. Dou et al. https://doi.org/10.1016/j.rockmb.2023.100056
- Slope instabilities in steep cultivation systems: Process classification and opportunities from remote sensing P. Tarolli et al. https://doi.org/10.1002/ldr.3798
- Experimental field study on the influence of underground plant roots on the initiation of gulley debris flows Y. Wang et al. https://doi.org/10.1016/j.catena.2025.109128
- Scraping Effect of Dam-Overtopping Debris Flow—A Case Study of Chutou Gully ‘8.20’ in Miansi Town, Wenchuan County C. Huang et al. https://doi.org/10.1080/13632469.2024.2343781
- Statistical Tests for Extreme Precipitation Volumes V. Korolev et al. https://doi.org/10.3390/math7070648
- Early warning of debris flow using optimized self-organizing feature mapping network X. Wang et al. https://doi.org/10.2166/ws.2020.142
- Preface: Advances in flood risk assessment and management C. Prieto et al. https://doi.org/10.5194/nhess-20-1045-2020
- Using drone-based multispectral imaging for investigating gravelly debris flows and geomorphic characteristics H. Chen et al. https://doi.org/10.1007/s12665-024-11544-y
- Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C. Zhou et al. https://doi.org/10.1007/s10346-021-01796-1
- Determination of Landslide Displacement Warning Thresholds by Applying DBA-LSTM and Numerical Simulation Algorithms Y. Dai et al. https://doi.org/10.3390/app12136690
- Exploring the initiating mechanism, monitoring equipment and warning indicators of gully-type debris flow for disaster reduction: a review Y. Du et al. https://doi.org/10.1007/s11069-024-06742-7
- Landslide early warning, case studies from Southwest China N. Ju et al. https://doi.org/10.1016/j.enggeo.2020.105917
- Data-Assimilation-Driven Geohazard Monitoring and Early Warning Along Railways: A Review and the PAD Framework Y. Du et al. https://doi.org/10.3390/ijgi15090416
- Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al. https://doi.org/10.1016/j.geomorph.2022.108519
- A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. https://doi.org/10.1016/j.heliyon.2023.e23247
- Handling Uncertainty in Models of Seismic and Postseismic Hazards: Toward Robust Methods and Resilient Societies B. MacGillivray https://doi.org/10.1111/risa.13663
- The Effect of Erosion-Induced Amplification and Topographic Controls on the Evolution and Deposition of the 5 August 2016 Xiaosha River Debris-Flow Event in Yunnan, China L. Jiang et al. https://doi.org/10.3390/quat9050068
17 citations as recorded by crossref.
- Rainfall early warning threshold and its spatial distribution of rainfall-induced landslides in China H. Dou et al. https://doi.org/10.1016/j.rockmb.2023.100056
- Slope instabilities in steep cultivation systems: Process classification and opportunities from remote sensing P. Tarolli et al. https://doi.org/10.1002/ldr.3798
- Experimental field study on the influence of underground plant roots on the initiation of gulley debris flows Y. Wang et al. https://doi.org/10.1016/j.catena.2025.109128
- Scraping Effect of Dam-Overtopping Debris Flow—A Case Study of Chutou Gully ‘8.20’ in Miansi Town, Wenchuan County C. Huang et al. https://doi.org/10.1080/13632469.2024.2343781
- Statistical Tests for Extreme Precipitation Volumes V. Korolev et al. https://doi.org/10.3390/math7070648
- Early warning of debris flow using optimized self-organizing feature mapping network X. Wang et al. https://doi.org/10.2166/ws.2020.142
- Preface: Advances in flood risk assessment and management C. Prieto et al. https://doi.org/10.5194/nhess-20-1045-2020
- Using drone-based multispectral imaging for investigating gravelly debris flows and geomorphic characteristics H. Chen et al. https://doi.org/10.1007/s12665-024-11544-y
- Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C. Zhou et al. https://doi.org/10.1007/s10346-021-01796-1
- Determination of Landslide Displacement Warning Thresholds by Applying DBA-LSTM and Numerical Simulation Algorithms Y. Dai et al. https://doi.org/10.3390/app12136690
- Exploring the initiating mechanism, monitoring equipment and warning indicators of gully-type debris flow for disaster reduction: a review Y. Du et al. https://doi.org/10.1007/s11069-024-06742-7
- Landslide early warning, case studies from Southwest China N. Ju et al. https://doi.org/10.1016/j.enggeo.2020.105917
- Data-Assimilation-Driven Geohazard Monitoring and Early Warning Along Railways: A Review and the PAD Framework Y. Du et al. https://doi.org/10.3390/ijgi15090416
- Validation and potential forecast use of a debris-flow rainfall threshold calibrated with the Backward Dynamical Approach M. Martinengo et al. https://doi.org/10.1016/j.geomorph.2022.108519
- A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. https://doi.org/10.1016/j.heliyon.2023.e23247
- Handling Uncertainty in Models of Seismic and Postseismic Hazards: Toward Robust Methods and Resilient Societies B. MacGillivray https://doi.org/10.1111/risa.13663
- The Effect of Erosion-Induced Amplification and Topographic Controls on the Evolution and Deposition of the 5 August 2016 Xiaosha River Debris-Flow Event in Yunnan, China L. Jiang et al. https://doi.org/10.3390/quat9050068
Saved (final revised paper)
Latest update: 17 Oct 2026
Short summary
Wenjia gully is a typical gully-type debris flow, which has a large-scale catchment and great hazard risk to the local people. Based on the monitoring data for almost 6 years until now, the characteristics of debris-flow-triggering parameters (pore pressure and rainfall) have been analyzed, especially the relationship with debris flow occurrences. Then, a combined threshold has been presented and tested in order to provide a method for safeguarding the population in the region.
Wenjia gully is a typical gully-type debris flow, which has a large-scale catchment and great...
Special issue
Altmetrics
Final-revised paper
Preprint