Articles | Volume 6, issue 1
https://doi.org/10.5194/esurf-6-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-6-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2018
Research article |
| 07 Feb 2018
| 07 Feb 2018
A hydroclimatological approach to predicting regional landslide probability using Landlab
Ronda Strauch
CORRESPONDING AUTHOR
Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
Erkan Istanbulluoglu
Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
Sai Siddhartha Nudurupati
Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
Christina Bandaragoda
Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
Nicole M. Gasparini
Earth and Environmental Sciences, Tulane University, New Orleans, LA, USA
Gregory E. Tucker
Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USA
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO, USA
Viewed
Total article views: 5,555 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Jun 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,811 | 2,548 | 196 | 5,555 | 556 | 117 | 130 |
- HTML: 2,811
- PDF: 2,548
- XML: 196
- Total: 5,555
- Supplement: 556
- BibTeX: 117
- EndNote: 130
Total article views: 4,553 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Feb 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,355 | 2,012 | 186 | 4,553 | 370 | 113 | 119 |
- HTML: 2,355
- PDF: 2,012
- XML: 186
- Total: 4,553
- Supplement: 370
- BibTeX: 113
- EndNote: 119
Total article views: 1,002 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Jun 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 456 | 536 | 10 | 1,002 | 186 | 4 | 11 |
- HTML: 456
- PDF: 536
- XML: 10
- Total: 1,002
- Supplement: 186
- BibTeX: 4
- EndNote: 11
Viewed (geographical distribution)
Total article views: 5,555 (including HTML, PDF, and XML)
Thereof 5,093 with geography defined
and 462 with unknown origin.
Total article views: 4,553 (including HTML, PDF, and XML)
Thereof 4,130 with geography defined
and 423 with unknown origin.
Total article views: 1,002 (including HTML, PDF, and XML)
Thereof 963 with geography defined
and 39 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
21 citations as recorded by crossref.
- A Channel Network Model for Sediment Dynamics Over Watershed Management Time Scales C. Beveridge et al. 10.1029/2019MS001852
- Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range S. Timilsina et al. 10.1007/s10346-020-01582-5
- Improving Slope Stability Estimates by Incorporating Geophysical and Remote Sensing Monitoring Data into Hydro-Geomechanical Modeling S. Fiolleau et al. 10.2139/ssrn.4055920
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- Infinite slope stability model and steady-state hydrology-based shallow landslide susceptibility evaluations: The Guneysu catchment area (Rize, Turkey) F. Keles & H. Nefeslioglu 10.1016/j.catena.2021.105161
- Multi-decadal erosion rates from glacierized watersheds on Mount Baker, Washington, USA, reveal topographic, climatic, and lithologic controls on sediment yields E. Schwat et al. 10.1016/j.geomorph.2023.108805
- SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi 10.3390/w16111507
- Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure C. Bandaragoda et al. 10.1016/j.envsoft.2019.03.020
- A landslide runout model for sediment transport, landscape evolution, and hazard assessment applications J. Keck et al. 10.5194/esurf-12-1165-2024
- Topographic controls on divide migration, stream capture, and diversification in riverine life N. Lyons et al. 10.5194/esurf-8-893-2020
- State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides A. DiBiagio et al. 10.1007/s10346-024-02300-1
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. 10.5194/esurf-8-379-2020
- A cellular automaton integrating spatial case-based reasoning for predicting local landslide hazards J. Chen et al. 10.1080/13658816.2023.2273877
- Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al. 10.1016/j.geomorph.2022.108560
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. 10.5194/nhess-24-501-2024
- A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA R. Strauch et al. 10.5194/nhess-19-2477-2019
- Glacier Recession and the Response of Summer Streamflow in the Pacific Northwest United States, 1960–2099 C. Frans et al. 10.1029/2017WR021764
- Spatial Patterns of Storm‐Induced Landslides and Their Relation to Rainfall Anomaly Maps O. Marc et al. 10.1029/2019GL083173
- Computationally-feasible uncertainty quantification in model-based landslide risk assessment A. Yildiz et al. 10.3389/feart.2022.1032438
21 citations as recorded by crossref.
- A Channel Network Model for Sediment Dynamics Over Watershed Management Time Scales C. Beveridge et al. 10.1029/2019MS001852
- Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range S. Timilsina et al. 10.1007/s10346-020-01582-5
- Improving Slope Stability Estimates by Incorporating Geophysical and Remote Sensing Monitoring Data into Hydro-Geomechanical Modeling S. Fiolleau et al. 10.2139/ssrn.4055920
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- Infinite slope stability model and steady-state hydrology-based shallow landslide susceptibility evaluations: The Guneysu catchment area (Rize, Turkey) F. Keles & H. Nefeslioglu 10.1016/j.catena.2021.105161
- Multi-decadal erosion rates from glacierized watersheds on Mount Baker, Washington, USA, reveal topographic, climatic, and lithologic controls on sediment yields E. Schwat et al. 10.1016/j.geomorph.2023.108805
- SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi 10.3390/w16111507
- Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure C. Bandaragoda et al. 10.1016/j.envsoft.2019.03.020
- A landslide runout model for sediment transport, landscape evolution, and hazard assessment applications J. Keck et al. 10.5194/esurf-12-1165-2024
- Topographic controls on divide migration, stream capture, and diversification in riverine life N. Lyons et al. 10.5194/esurf-8-893-2020
- State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides A. DiBiagio et al. 10.1007/s10346-024-02300-1
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. 10.5194/esurf-8-379-2020
- A cellular automaton integrating spatial case-based reasoning for predicting local landslide hazards J. Chen et al. 10.1080/13658816.2023.2273877
- Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al. 10.1016/j.geomorph.2022.108560
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. 10.5194/nhess-24-501-2024
- A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA R. Strauch et al. 10.5194/nhess-19-2477-2019
- Glacier Recession and the Response of Summer Streamflow in the Pacific Northwest United States, 1960–2099 C. Frans et al. 10.1029/2017WR021764
- Spatial Patterns of Storm‐Induced Landslides and Their Relation to Rainfall Anomaly Maps O. Marc et al. 10.1029/2019GL083173
- Computationally-feasible uncertainty quantification in model-based landslide risk assessment A. Yildiz et al. 10.3389/feart.2022.1032438
Latest update: 15 Nov 2024
Short summary
We develop a model of annual probability of shallow landslide initiation triggered by soil water from a hydrologic model. Our physically based model accommodates data uncertainty using a Monte Carlo approach. We found elevation-dependent patterns in probability related to the stabilizing effect of forests and soil and slope limitation at high elevations. We demonstrate our model in Washington, USA, but it is designed to run elsewhere with available data for risk planning using the Landlab.
We develop a model of annual probability of shallow landslide initiation triggered by soil water...
