Articles | Volume 22, issue 7
https://doi.org/10.5194/nhess-22-2317-2022
© Author(s) 2022. 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-22-2317-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jul 2022
Research article |
| 27 Jul 2022
| 27 Jul 2022
Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars
Chuxuan Li
CORRESPONDING AUTHOR
Department of Earth and Planetary Sciences, Northwestern University, Evanston, IL 60208, USA
Alexander L. Handwerger
Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Jiali Wang
Environmental Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
Wei Yu
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, CO 80309, USA
Global Systems Laboratory, NOAA, Denver, CO 80305-3328, USA
Xiang Li
Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
Noah J. Finnegan
Department of Earth and Planetary Sciences, University of California Santa Cruz, Santa Cruz, CA 95064, USA
Yingying Xie
Program in Environmental Sciences, Northwestern University, Evanston, IL 60208, USA
Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
Giuseppe Buscarnera
Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
Daniel E. Horton
Department of Earth and Planetary Sciences, Northwestern University, Evanston, IL 60208, USA
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Cited
9 citations as recorded by crossref.
- Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al. 10.1007/s11069-023-06096-6
- Toward Improved Regional Hydrological Model Performance Using State‐Of‐The‐Science Data‐Informed Soil Parameters C. Li et al. 10.1029/2023WR034431
- Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications T. Partridge et al. 10.1002/wat2.1728
- Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
- Urbanization enhances channel and surface runoff: A quantitative analysis using both physical and empirical models over the Yangtze River basin S. Huang et al. 10.1016/j.jhydrol.2024.131194
- Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach A. Cerbelaud et al. 10.3390/rs15092361
- The Dolan Fire of Central Coastal California: Burn Severity Estimates from Remote Sensing and Associations with Environmental Factors I. Oseghae et al. 10.3390/rs16101693
- Prediction of rainfall-induced debris flow using Random Forests and Bayesian Optimization in Yingxiu Town, Wenchuan County, China R. Liu et al. 10.1007/s10064-024-03649-2
- A cluster analysis of cold-season atmospheric river tracks over the North Atlantic and their linkages to extreme precipitation and winds C. Li et al. 10.1007/s00382-022-06297-y
8 citations as recorded by crossref.
- Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al. 10.1007/s11069-023-06096-6
- Toward Improved Regional Hydrological Model Performance Using State‐Of‐The‐Science Data‐Informed Soil Parameters C. Li et al. 10.1029/2023WR034431
- Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications T. Partridge et al. 10.1002/wat2.1728
- Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
- Urbanization enhances channel and surface runoff: A quantitative analysis using both physical and empirical models over the Yangtze River basin S. Huang et al. 10.1016/j.jhydrol.2024.131194
- Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach A. Cerbelaud et al. 10.3390/rs15092361
- The Dolan Fire of Central Coastal California: Burn Severity Estimates from Remote Sensing and Associations with Environmental Factors I. Oseghae et al. 10.3390/rs16101693
- Prediction of rainfall-induced debris flow using Random Forests and Bayesian Optimization in Yingxiu Town, Wenchuan County, China R. Liu et al. 10.1007/s10064-024-03649-2
Latest update: 29 Jun 2024
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Short summary
In January 2021 a storm triggered numerous debris flows in a wildfire burn scar in California. We use a hydrologic model to assess debris flow susceptibility in pre-fire and postfire scenarios. Compared to pre-fire conditions, postfire conditions yield dramatic increases in peak water discharge, substantially increasing debris flow susceptibility. Our work highlights the hydrologic model's utility in investigating and potentially forecasting postfire debris flows at regional scales.
In January 2021 a storm triggered numerous debris flows in a wildfire burn scar in California....
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