Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1357-2024
© Author(s) 2024. 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-24-1357-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Apr 2024
Research article |
| 24 Apr 2024
| 24 Apr 2024
Characteristics of debris-flow-prone watersheds and debris-flow-triggering rainstorms following the Tadpole Fire, New Mexico, USA
Luke A. McGuire
CORRESPONDING AUTHOR
Department of Geosciences, University of Arizona, Tucson, Arizona 85721, USA
Francis K. Rengers
Geologic Hazards Science Center, U.S. Geological Survey, Golden, Colorado 80401, USA
Ann M. Youberg
Arizona Geological Survey, University of Arizona, Tucson, Arizona 85721, USA
Alexander N. Gorr
Department of Geosciences, University of Arizona, Tucson, Arizona 85721, USA
Olivia J. Hoch
Geologic Hazards Science Center, U.S. Geological Survey, Golden, Colorado 80401, USA
Rebecca Beers
Arizona Geological Survey, University of Arizona, Tucson, Arizona 85721, USA
Ryan Porter
School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona 86011, USA
Related authors
Jon D. Pelletier, Robert G. Hayes, Olivia Hoch, Brendan Fenerty, and Luke A. McGuire
EGUsphere, https://doi.org/10.5194/egusphere-2024-1153, https://doi.org/10.5194/egusphere-2024-1153, 2024
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On the gently sloping landscapes next to mountain fronts, junction angles tend to be lower (more acute), while in bedrock landscapes where the initial landscape or tectonic forcing is likely more spatially variable, junction angles tend to be larger (more obtuse). We demonstrate this using an analysis of ~20 million junction angles for the U.S.A., augmented by analyses of the Loess Plateau, China, and synthetic landscapes.
Luke A. McGuire, Scott W. McCoy, Odin Marc, William Struble, and Katherine R. Barnhart
Earth Surf. Dynam., 11, 1117–1143, https://doi.org/10.5194/esurf-11-1117-2023, https://doi.org/10.5194/esurf-11-1117-2023, 2023
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Debris flows are mixtures of mud and rocks that can travel at high speeds across steep landscapes. Here, we propose a new model to describe how landscapes are shaped by debris flow erosion over long timescales. Model results demonstrate that the shapes of channel profiles are sensitive to uplift rate, meaning that it may be possible to use topographic data from steep channel networks to infer how erosion rates vary across a landscape.
Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley
EGUsphere, https://doi.org/10.5194/egusphere-2023-1931, https://doi.org/10.5194/egusphere-2023-1931, 2023
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Fire can dramatically increase the risk of debris flows to downstream communities with little warning, but hazard assessments have not traditionally included estimates of inundation. We unify models developed by the scientific community to create probabilistic estimates of inundation area in response to rainfall at forecast lead times (≥ 24 hours) needed for decision-making. This work takes an initial step towards an operational postfire debris-flow inundation hazard assessment product.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, https://doi.org/10.5194/nhess-23-2075-2023, 2023
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Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Tao Liu, Luke A. McGuire, Nina Oakley, and Forest Cannon
Nat. Hazards Earth Syst. Sci., 22, 361–376, https://doi.org/10.5194/nhess-22-361-2022, https://doi.org/10.5194/nhess-22-361-2022, 2022
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A well-constrained rainfall-runoff model forced by radar-derived precipitation is used to define rainfall intensity-duration (ID) thresholds for flash floods. The rainfall ID doubles in 5 years after a severe wildfire in a watershed in southern California, USA. Rainfall ID performs stably well for intense pulses of rainfall over durations of 30-60 minutes that cover at least 15%-25% of the watershed. This finding could help issuing flash flood warnings based on radar-derived precipitation.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 24, 1459–1483, https://doi.org/10.5194/nhess-24-1459-2024, https://doi.org/10.5194/nhess-24-1459-2024, 2024
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Debris flows are a type of fast-moving landslide that start from shallow landslides or during intense rain. Infrastructure located downstream of watersheds susceptible to debris flows may be damaged should a debris flow reach them. We present and evaluate an approach to forecast building damage caused by debris flows. We test three alternative models for simulating the motion of debris flows and find that only one can forecast the correct number and spatial pattern of damaged buildings.
Jon D. Pelletier, Robert G. Hayes, Olivia Hoch, Brendan Fenerty, and Luke A. McGuire
EGUsphere, https://doi.org/10.5194/egusphere-2024-1153, https://doi.org/10.5194/egusphere-2024-1153, 2024
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On the gently sloping landscapes next to mountain fronts, junction angles tend to be lower (more acute), while in bedrock landscapes where the initial landscape or tectonic forcing is likely more spatially variable, junction angles tend to be larger (more obtuse). We demonstrate this using an analysis of ~20 million junction angles for the U.S.A., augmented by analyses of the Loess Plateau, China, and synthetic landscapes.
Luke A. McGuire, Scott W. McCoy, Odin Marc, William Struble, and Katherine R. Barnhart
Earth Surf. Dynam., 11, 1117–1143, https://doi.org/10.5194/esurf-11-1117-2023, https://doi.org/10.5194/esurf-11-1117-2023, 2023
Short summary
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Debris flows are mixtures of mud and rocks that can travel at high speeds across steep landscapes. Here, we propose a new model to describe how landscapes are shaped by debris flow erosion over long timescales. Model results demonstrate that the shapes of channel profiles are sensitive to uplift rate, meaning that it may be possible to use topographic data from steep channel networks to infer how erosion rates vary across a landscape.
Francis K. Rengers, Samuel Bower, Andrew Knapp, Jason W. Kean, Danielle W. vonLembke, Matthew A. Thomas, Jaime Kostelnik, Katherine R. Barnhart, Matthew Bethel, Joseph E. Gartner, Madeline Hille, Dennis M. Staley, Justin Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy
EGUsphere, https://doi.org/10.5194/egusphere-2023-2063, https://doi.org/10.5194/egusphere-2023-2063, 2023
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Every year the U.S. Geological Survey produces 50–100 postfire debris flow hazard assessments using models for debris flow likelihood and volume. To refine these models they must be tested with datasets that clearly document rainfall, debris flow response, and debris flow volume. These datasets are difficult to obtain, but this study developed and analyzed a postfire dataset with more than 100 postfire storm responses over a two year period. We also proposed ways to improve these models.
Alexander B. Prescott, Luke A. McGuire, Kwang-Sung Jun, Katherine R. Barnhart, and Nina S. Oakley
EGUsphere, https://doi.org/10.5194/egusphere-2023-1931, https://doi.org/10.5194/egusphere-2023-1931, 2023
Short summary
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Fire can dramatically increase the risk of debris flows to downstream communities with little warning, but hazard assessments have not traditionally included estimates of inundation. We unify models developed by the scientific community to create probabilistic estimates of inundation area in response to rainfall at forecast lead times (≥ 24 hours) needed for decision-making. This work takes an initial step towards an operational postfire debris-flow inundation hazard assessment product.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, https://doi.org/10.5194/nhess-23-2075-2023, 2023
Short summary
Short summary
Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Tao Liu, Luke A. McGuire, Nina Oakley, and Forest Cannon
Nat. Hazards Earth Syst. Sci., 22, 361–376, https://doi.org/10.5194/nhess-22-361-2022, https://doi.org/10.5194/nhess-22-361-2022, 2022
Short summary
Short summary
A well-constrained rainfall-runoff model forced by radar-derived precipitation is used to define rainfall intensity-duration (ID) thresholds for flash floods. The rainfall ID doubles in 5 years after a severe wildfire in a watershed in southern California, USA. Rainfall ID performs stably well for intense pulses of rainfall over durations of 30-60 minutes that cover at least 15%-25% of the watershed. This finding could help issuing flash flood warnings based on radar-derived precipitation.
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Evaluation of debris-flow building damage forecasts
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Simulation analysis of 3D stability of a landslide with a locking segment: a case study of the Tizicao landslide in Maoxian County, southwest China
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Optimization strategy for flexible barrier structures: investigation and back analysis of a rockfall disaster case in southwestern China
Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
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Morphological conditions of drainage basins that classify the presence or absence of debris flow fans were analyzed in areas with different rock strength using decision tree analysis. The relief ratio is the most important morphological factor regardless of the geology. However, the thresholds of morphological parameters needed for forming debris flow fans differ depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
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We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
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Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480, https://doi.org/10.5194/nhess-24-465-2024, https://doi.org/10.5194/nhess-24-465-2024, 2024
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Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci., 24, 1–12, https://doi.org/10.5194/nhess-24-1-2024, https://doi.org/10.5194/nhess-24-1-2024, 2024
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Dividing landscapes into hillslopes greatly improves predictions of landslide potential across landscapes, but their scaling is often arbitrarily set and can require significant computing power to delineate. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units scaled to best capture landslide processes. The results of this work will allow an improved understanding of landslide potential and can help reduce the impacts of landslides worldwide.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 23, 3805–3821, https://doi.org/10.5194/nhess-23-3805-2023, https://doi.org/10.5194/nhess-23-3805-2023, 2023
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The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-181, https://doi.org/10.5194/nhess-2023-181, 2023
Revised manuscript accepted for NHESS
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By a simplified formula linking rainfall and groundwater level, the rise of the phreatic surface within the slope can be obtained. Then, we derive the calculation of the seepage force. A global analysis method that considers both seepage and seismic forces is proposed to determine the safety factor of slopes subjected to the combined effect of rainfall and earthquake. The reliability of the proposed method is also verified with two examples combining software calculations and previous results.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-185, https://doi.org/10.5194/nhess-2023-185, 2023
Revised manuscript accepted for NHESS
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We mapped potential for heavy rainfall to cause landslides in part of the central mountains of Puerto Rico using new tools for estimating soil depth and quasi-3D slope stability. Potential ground-failure locations correlate well with the spatial density of landslides from Hurricane Maria. The smooth boundaries of the very high and high ground-failure susceptibility zones enclose 75 and 90 percent, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443, https://doi.org/10.5194/nhess-23-3425-2023, https://doi.org/10.5194/nhess-23-3425-2023, 2023
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A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Marius Schneider, Nicolas Oestreicher, Thomas Ehrat, and Simon Loew
Nat. Hazards Earth Syst. Sci., 23, 3337–3354, https://doi.org/10.5194/nhess-23-3337-2023, https://doi.org/10.5194/nhess-23-3337-2023, 2023
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Rockfalls and their hazards are typically treated as statistical events based on rockfall catalogs, but only a few complete rockfall inventories are available today. Here, we present new results from a Doppler radar rockfall alarm system, which has operated since 2018 at a high frequency under all illumination and weather conditions at a site where frequent rockfall events threaten a village and road. The new data set is used to investigate rockfall triggers in an active rockslide complex.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
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Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093, https://doi.org/10.5194/nhess-23-3079-2023, https://doi.org/10.5194/nhess-23-3079-2023, 2023
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The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Francis K. Rengers, Samuel Bower, Andrew Knapp, Jason W. Kean, Danielle W. vonLembke, Matthew A. Thomas, Jaime Kostelnik, Katherine R. Barnhart, Matthew Bethel, Joseph E. Gartner, Madeline Hille, Dennis M. Staley, Justin Anderson, Elizabeth K. Roberts, Stephen B. DeLong, Belize Lane, Paxton Ridgway, and Brendan P. Murphy
EGUsphere, https://doi.org/10.5194/egusphere-2023-2063, https://doi.org/10.5194/egusphere-2023-2063, 2023
Short summary
Short summary
Every year the U.S. Geological Survey produces 50–100 postfire debris flow hazard assessments using models for debris flow likelihood and volume. To refine these models they must be tested with datasets that clearly document rainfall, debris flow response, and debris flow volume. These datasets are difficult to obtain, but this study developed and analyzed a postfire dataset with more than 100 postfire storm responses over a two year period. We also proposed ways to improve these models.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
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Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013, https://doi.org/10.5194/nhess-23-2987-2023, https://doi.org/10.5194/nhess-23-2987-2023, 2023
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Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Praveen Kumar, Priyanka Priyanka, Kala Venkata Uday, and Varun Dutt
EGUsphere, https://doi.org/10.5194/egusphere-2023-1417, https://doi.org/10.5194/egusphere-2023-1417, 2023
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Our study focuses on predicting soil movement to mitigate landslide risks. We develop machine learning models with oversampling techniques to address the class imbalance in monitoring data. The dynamic ensemble model with K-Means SMOTE achieves high accuracy (99.68 %), precision, recall, and F1-score, followed by RF with K-Means SMOTE. Our findings highlight the potential of these models to improve soil movement predictions in landslide-prone areas.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-140, https://doi.org/10.5194/nhess-2023-140, 2023
Revised manuscript accepted for NHESS
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Central Asia regions are characterized by active tectonics, high mountains with glaciers and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of potential damming scenarios which endanger the population. To prevent this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters, was applied to spatially assess the rivers obstruction in Central Asia.
Yi-Min Huang
Nat. Hazards Earth Syst. Sci., 23, 2649–2662, https://doi.org/10.5194/nhess-23-2649-2023, https://doi.org/10.5194/nhess-23-2649-2023, 2023
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Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, https://doi.org/10.5194/nhess-23-2625-2023, 2023
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We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
Simon Seelig, Thomas Wagner, Karl Krainer, Michael Avian, Marc Olefs, Klaus Haslinger, and Gerfried Winkler
Nat. Hazards Earth Syst. Sci., 23, 2547–2568, https://doi.org/10.5194/nhess-23-2547-2023, https://doi.org/10.5194/nhess-23-2547-2023, 2023
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A rapid sequence of cascading events involving thermokarst lake outburst, rock glacier front failure, debris flow development, and river blockage hit an alpine valley in Austria during summer 2019. We analyze the environmental conditions initiating the process chain and identify the rapid evolution of a thermokarst channel network as the main driver. Our results highlight the need to account for permafrost degradation in debris flow hazard assessment studies.
Camilla Lanfranconi, Paolo Frattini, Gianluca Sala, Giuseppe Dattola, Davide Bertolo, Juanjuan Sun, and Giovanni Battista Crosta
Nat. Hazards Earth Syst. Sci., 23, 2349–2363, https://doi.org/10.5194/nhess-23-2349-2023, https://doi.org/10.5194/nhess-23-2349-2023, 2023
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This paper presents a study on rockfall dynamics and hazard, examining the impact of the presence of trees along slope and block fragmentation. We compared rockfall simulations that explicitly model the presence of trees and fragmentation with a classical approach that accounts for these phenomena in model parameters (both the hazard and the kinetic energy change). We also used a non-parametric probabilistic rockfall hazard analysis method for hazard mapping.
Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, Mirzo Saidov, Gany Amirgalievich Bimurzaev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 23, 2229–2250, https://doi.org/10.5194/nhess-23-2229-2023, https://doi.org/10.5194/nhess-23-2229-2023, 2023
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This work was carried out within the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a random forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners, and administrators.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, https://doi.org/10.5194/nhess-23-2075-2023, 2023
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Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-68, https://doi.org/10.5194/nhess-2023-68, 2023
Revised manuscript accepted for NHESS
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In this study, we examine how future climate change may affect activity in landslides in Denmark using publicly available data. Our findings show that climate change will increase groundwater table depth, which will lead to increased landslide activity. During past events of extremely wet winters in this region, landslides caused damage to buildings and infrastructure.
Maxime Morel, Guillaume Piton, Damien Kuss, Guillaume Evin, and Caroline Le Bouteiller
Nat. Hazards Earth Syst. Sci., 23, 1769–1787, https://doi.org/10.5194/nhess-23-1769-2023, https://doi.org/10.5194/nhess-23-1769-2023, 2023
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In mountain catchments, damage during floods is generally primarily driven by the supply of a massive amount of sediment. Predicting how much sediment can be delivered by frequent and infrequent events is thus important in hazard studies. This paper uses data gathered during the maintenance operation of about 100 debris retention basins to build simple equations aiming at predicting sediment supply from simple parameters describing the upstream catchment.
Elsa S. Culler, Ben Livneh, Balaji Rajagopalan, and Kristy F. Tiampo
Nat. Hazards Earth Syst. Sci., 23, 1631–1652, https://doi.org/10.5194/nhess-23-1631-2023, https://doi.org/10.5194/nhess-23-1631-2023, 2023
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Landslides have often been observed in the aftermath of wildfires. This study explores regional patterns in the rainfall that caused landslides both after fires and in unburned locations. In general, landslides that occur after fires are triggered by less rainfall, confirming that fire helps to set the stage for landslides. However, there are regional differences in the ways in which fire impacts landslides, such as the size and direction of shifts in the seasonality of landslides after fires.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506, https://doi.org/10.5194/nhess-23-1483-2023, https://doi.org/10.5194/nhess-23-1483-2023, 2023
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We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit Kumar Punia
Nat. Hazards Earth Syst. Sci., 23, 1425–1431, https://doi.org/10.5194/nhess-23-1425-2023, https://doi.org/10.5194/nhess-23-1425-2023, 2023
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The NW Himalaya has been one of the most affected terrains of the Himalaya, subject to disastrous landslides. This article focuses on two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. We used a slope stability simulation to determine the response of the hillslopes accommodating these towns under various loading conditions. We found that the maximum displacement in these hillslopes might reach up to 20–25 m.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
Nat. Hazards Earth Syst. Sci., 23, 1257–1266, https://doi.org/10.5194/nhess-23-1257-2023, https://doi.org/10.5194/nhess-23-1257-2023, 2023
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Tree destruction is often used to back calculate the air blast impact region and to estimate the air blast power. Here we established a novel model to assess air blast power using tree destruction information. We find that the dynamic magnification effect makes the trees easier to damage by a landslide-induced air blast, but the large tree deformation would weaken the effect. Bending and overturning are two likely failure modes, which depend heavily on the properties of trees.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
Nat. Hazards Earth Syst. Sci., 23, 1241–1256, https://doi.org/10.5194/nhess-23-1241-2023, https://doi.org/10.5194/nhess-23-1241-2023, 2023
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Debris flows are fast flows most often found in torrential watersheds. They are composed of two phases: a liquid phase which can be mud-like and a granular phase, including large boulders, transported along with the flow. Due to their destructive nature, accessing features of the flow, such as velocity and flow height, is difficult. We present a protocol to analyse debris flow data and results of the Réal torrent in France. These results will help experts in designing models.
Carlos Millán-Arancibia and Waldo Lavado-Casimiro
Nat. Hazards Earth Syst. Sci., 23, 1191–1206, https://doi.org/10.5194/nhess-23-1191-2023, https://doi.org/10.5194/nhess-23-1191-2023, 2023
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This study is the first approximation of regional rainfall thresholds for shallow landslide occurrence in Peru. This research was generated from a gridded precipitation data and landslide inventory. The analysis showed that the threshold based on the combination of mean daily intensity–duration variables gives the best results for separating rainfall events that generate landslides. Through this work the potential of thresholds for landslide monitoring at the regional scale is demonstrated.
Luca Verrucci, Giovanni Forte, Melania De Falco, Paolo Tommasi, Giuseppe Lanzo, Kevin W. Franke, and Antonio Santo
Nat. Hazards Earth Syst. Sci., 23, 1177–1190, https://doi.org/10.5194/nhess-23-1177-2023, https://doi.org/10.5194/nhess-23-1177-2023, 2023
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Stability analyses in static and seismic conditions were performed on four rockslides that occurred during the main shocks of the 2016–2017 central Italy seismic sequence. These results also indicate that specific structural features of the slope must carefully be accounted for in evaluating potential hazards on transportation infrastructures in mountainous regions.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175, https://doi.org/10.5194/nhess-23-1157-2023, https://doi.org/10.5194/nhess-23-1157-2023, 2023
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The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Joshua N. Jones, Georgina L. Bennett, Claudia Abancó, Mark A. M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 23, 1095–1115, https://doi.org/10.5194/nhess-23-1095-2023, https://doi.org/10.5194/nhess-23-1095-2023, 2023
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We modelled where landslides occur in the Philippines using landslide data from three typhoon events in 2009, 2018, and 2019. These models show where landslides occurred within the landscape. By comparing the different models, we found that the 2019 landslides were occurring all across the landscape, whereas the 2009 and 2018 landslides were mostly occurring at specific slope angles and aspects. This shows that landslide susceptibility must be considered variable through space and time.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
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Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Xun Huang, Zhijian Zhang, and Guoping Xiang
Nat. Hazards Earth Syst. Sci., 23, 871–889, https://doi.org/10.5194/nhess-23-871-2023, https://doi.org/10.5194/nhess-23-871-2023, 2023
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A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666, https://doi.org/10.5194/nhess-23-643-2023, https://doi.org/10.5194/nhess-23-643-2023, 2023
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This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622, https://doi.org/10.5194/nhess-23-601-2023, https://doi.org/10.5194/nhess-23-601-2023, 2023
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In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, https://doi.org/10.5194/nhess-23-343-2023, 2023
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On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229, https://doi.org/10.5194/nhess-23-205-2023, https://doi.org/10.5194/nhess-23-205-2023, 2023
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In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
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Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Marc Peruzzetto, Yoann Legendre, Aude Nachbaur, Thomas J. B. Dewez, Yannick Thiery, Clara Levy, and Benoit Vittecoq
Nat. Hazards Earth Syst. Sci., 22, 3973–3992, https://doi.org/10.5194/nhess-22-3973-2022, https://doi.org/10.5194/nhess-22-3973-2022, 2022
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Volcanic edifices result from successive construction and dismantling phases. Thus, the geological units forming volcanoes display complex geometries. We show that such geometries can be reconstructed thanks to aerial views, topographic surveys and photogrammetric models. In our case study of the Samperre cliff (Martinique, Lesser Antilles), it allows us to link destabilizations from a rocky cliff to the existence of a filled paleo-valley and estimate a potentially unstable volume.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
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The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci., 22, 3751–3764, https://doi.org/10.5194/nhess-22-3751-2022, https://doi.org/10.5194/nhess-22-3751-2022, 2022
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The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, rendering these databases unusable for landslide hazard models. In this work, we developed a Python library, Landsifier, consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only a landslide polygon shapefile as an input.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700, https://doi.org/10.5194/nhess-22-3679-2022, https://doi.org/10.5194/nhess-22-3679-2022, 2022
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Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022, https://doi.org/10.5194/nhess-22-3641-2022, 2022
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This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Cited articles
Benavides-Solorio, J. and MacDonald, L. H.: Post-fire runoff and erosion from simulated rainfall on small plots, Colorado Front Range, Hydrol. Process., 15, 2931–2952, 2001.
Bonnin, G. M., Martin, D., Lin, B., Parzybok, T., Yekta, M., and Riley, D.: NOAA Atlas 14, Precipitation-Frequency Atlas of the United States, Volume 1 Version 5.0: Semiarid Southwest (Arizona, Southeast California, Nevada, New Mexico, Utah), National Weather Service, Silver Spring, MD, https://hdsc.nws.noaa.gov/pfds/pfds_map_cont.html (last access: 8 April 2024), 2011.
Bunte, K. and Abt, S. R.: Sampling Surface and Subsurface Particle-Size Distributions in Wadable Gravel- and Cobble-Bed Streams for Analyses in Sediment Transport, Hydraulics, and Streambed Monitoring, General Technical Report RMRS-GTR-74, US Department of Agriculture, Forest Service, 450 pp., https://doi.org/10.2737/RMRS-GTR-74, 2001.
Cannon, S. H., Gartner, J. E., Wilson, R. C., Bowers, J. C., and Laber, J. L.: Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California, Geomorphology, 96, 250–269, 2008.
Cannon, S. H., Gartner, J. E., Rupert, M. G., Michael, J. A., Rea, A. H., and Parrett, C.: Predicting the probability and volume of postwildfire debris flows in the intermountain western United States, Geol. Soc. Am. Bull., 122, 127–144, 2010.
Carsel, R. F. and Parrish, R. S.: Developing joint probability distributions of soil water retention characteristics, Water Resour. Res., 24, 755–769, 1988.
Conedera, M., Peter, L., Marxer, P., Forster, F., Rickenmann, D., and Re, L.: Consequences of forest fires on the hydrogeological response of mountain catchments: a case study of the Riale Buffaga, Ticino, Switzerland, Earth Surf. Proc. Land., 28, 117–129, https://doi.org/10.1002/esp.425, 2003.
Costa, J. E.: Rheologic, geomorphic, and sedimentologic differentiation of water floods, hyperconcentrated flows, and debris flows, Flood Geomorphology, John Wiley & Sons New York, 113–122, ISBN 0471625582, 1988.
Crocker, R. L. and Tiver, N. S.: Survey methods in grassland ecology, Grass Forage Sci., 3, 1–26, 1948.
Degraff, J. V., Cannon, S. H., and Gartner, J. E.: The Timing of Susceptibility to Post-Fire Debris Flows in the Western United States, Environ. Eng. Geosci., 21, 277–292, 2015.
Diakakis, M., Mavroulis, S., Vassilakis, E., and Chalvatzi, V.: Exploring the Application of a Debris Flow Likelihood Regression Model in Mediterranean Post-Fire Environments, Using Field Observations-Based Validation, Land (Basel), 12, 555, https://doi.org/10.3390/land12030555, 2023.
DiBiase, R. A. and Lamb, M. P.: Dry sediment loading of headwater channels fuels post-wildfire debris flows in bedrock landscapes, Geology, 48, 189–193, https://doi.org/10.1130/G46847.1, 2020.
Ebel, B. A.: Measurement Method Has a Larger Impact Than Spatial Scale For Plot-Scale Field-Saturated Hydraulic Conductivity (Kfs) After Wildfire and Prescribed Fire in Forests, Earth Surf. Proc. Land., 44, 1945–1956, https://doi.org/10.1002/esp.4621, 2019.
Ebel, B. A.: Temporal evolution of measured and simulated infiltration following wildfire in the Colorado Front Range, USA: Shifting thresholds of runoff generation and hydrologic hazards, J. Hydrol, 585, 124765, https://doi.org/10.1016/j.jhydrol.2020.124765, 2020.
Ebel, B. A. and Martin, D. A.: Meta-analysis of field-saturated hydraulic conductivity recovery following wildland fire: Applications for hydrologic model parameterization and resilience assessment, Hydrol. Process., 31, 3682–3696, https://doi.org/10.1002/hyp.11288, 2017.
Ebel, B. A. and Moody, J. A.: Synthesis of soil-hydraulic properties and infiltration timescales in wildfire-affected soils, Hydrol. Process., 31, 324–340, https://doi.org/10.1002/hyp.10998, 2017.
Ebel, B. A. and Moody, J. A.: Parameter estimation for multiple post-wildfire hydrologic models, Hydrol. Process., 34, 4049–4066, https://doi.org/10.1002/hyp.13865, 2020.
Ebel, B. A., Moody, J. A., and Martin, D. A.: Post-fire temporal trends in soil-physical and -hydraulic properties and simulated runoff generation: Insights from different burn severities in the 2013 Black Forest Fire, CO, USA, Sci. Total Environ., 802, 149847, https://doi.org/10.1016/j.scitotenv.2021.149847, 2022.
Esposito, G., Gariano, S. L., Masi, R., Alfano, S., and Giannatiempo, G.: Rainfall conditions leading to runoff-initiated post-fire debris flows in Campania, Southern Italy, Geomorphology, 423, 8830–8839, https://doi.org/10.1016/j.geomorph.2022.108557, 2023.
Florsheim, J. L., Keller, E. A., and Best, D. W.: Fluvial sediment transport in response to moderate storm flows following chaparral wildfire, Ventura County, southern California, Geol. Soc. Am. Bull., 103, 504–511, https://doi.org/10.1130/0016-7606(1991)103<0504:FSTIRT>2.3.CO;2, 1991.
Friedman, E. Q. and Santi, P. M.: Relationship between rainfall intensity and debris–flow initiation in a southern Colorado burned area, in: Association of Environmental and Engineering Geologists Special Publication 28, Colorado School of Mines, https://doi.org/10.25676/11124/173181, 2019.
Gabet, E. J. and Bookter, A.: A morphometric analysis of gullies scoured by post-fire progressively bulked debris flows in southwest Montana, USA, Geomorphology, 96, 298–309, 2008.
García-Ruiz, J. M., Arnáez, J., Gómez-Villar, A., Ortigosa, L., and Lana-Renault, N.: Fire-related debris flows in the Iberian Range, Spain, Geomorphology, 196, 221–230, https://doi.org/10.1016/j.geomorph.2012.03.032, 2013.
Gorr, A. N., McGuire, L. A., Youberg, A. M., Beers, R., and Liu, T.: Inundation and flow properties of a runoff-generated debris flow following successive high-severity wildfires in northern Arizona, USA, Earth Surf. Proc. Land., 49, 622–641, https://doi.org/10.1002/esp.5724, 2024.
Graber, A. P., Thomas, M. A., and Kean, J. W.: How Long Do Runoff-Generated Debris-Flow Hazards Persist After Wildfire?, Geophys. Res. Lett., 50, e2023GL105101, https://doi.org/10.1029/2023GL105101, 2023.
Green, H. W. and Ampt, G. A.: Studies on Soil Phyics, 1. The flow of air and water through soils, J Agr. Sci., 4, 1–24, 1911.
Hoch, O. J., McGuire, L. A., Youberg, A. M., and Rengers, F. K.: Hydrogeomorphic Recovery and Temporal Changes in Rainfall Thresholds for Debris Flows Following Wildfire, J. Geophys. Res.-Earth, 126, e2021JF006374, https://doi.org/10.1029/2021JF006374, 2021.
Holden, Z. A., Swanson, A., Luce, C. H., Jolly, W. M., Maneta, M., Oyler, J. W., Warren, D. A., Parsons, R., and Affleck, D.: Decreasing fire season precipitation increased recent western US forest wildfire activity, P. Natl. Acad. Sci. USA, 115, E8349–E8357, https://doi.org/10.1073/pnas.1802316115, 2018.
Huff, F. A.: Time distribution of rainfall in heavy storms, Water Resour. Res., 3, 1007–1019, https://doi.org/10.1029/WR003i004p01007, 1967.
Jin, T., Hu, X., Liu, B., Xi, C., He, K., Cao, X., Luo, G., Han, M., Ma, G., Yang, Y., and Wang, Y.: Susceptibility Prediction of Post-Fire Debris Flows in Xichang, China, Using a Logistic Regression Model from a Spatiotemporal Perspective, Remote Sens.-Basel, 14, 1306, https://doi.org/10.3390/rs14061306, 2022.
Johansen, M. P., Hakonson, T. E., and Breshears, D. D.: Post-fire runoff and erosion from rainfall simulation: contrasting forests with shrublands and grasslands, Hydrol. Process., 15, 2953–2965, 2001.
Jordan, P.: Post-wildfire debris flows in southern British Columbia, Canada, Int. J. Wildland Fire, 25, 322–336, https://doi.org/10.1071/WF14070, 2016.
Kean, J. W., Staley, D. M., and Cannon, S. H.: In situ measurements of post-fire debris flows in southern California: Comparisons of the timing and magnitude of 24 debris-flow events with rainfall and soil moisture conditions, J. Geophys. Res.-Earth (2003–2012), 116, 1–21, https://doi.org/10.1029/2011JF002005, 2011.
Kean, J. W., Staley, D. M., Leeper, R. J., Schmidt, K. M., and Gartner, J. E.: A low-cost method to measure the timing of postfire flash floods and debris flows relative to rainfall, Water Resour. Res., 48, W05516, https://doi.org/10.1029/2011WR011460, 2012.
Kean, J. W., Coe, J. A., Coviello, V., Smith, J. B., McCoy, S. W., and Arattano, M.: Estimating rates of debris flow entrainment from ground vibrations, Geophys. Res. Lett., 42, 6365–6372, https://doi.org/10.1002/2015GL064811, 2015.
Kean, J. W., McGuire, L. A., Rengers, F. K., Smith, J. B., and Staley, D. M.: Amplification of postwildfire peak flow by debris, Geophys. Res. Lett., 43, 8545–8553, https://doi.org/10.1002/2016GL069661, 2016.
Kean, J. W., Staley, D. M., Lancaster, J. T., Rengers, F. K., Swanson, B. J., Coe, J. A., Hernandez, J. L., Sigman, A. J., Allstadt, K. E., and Lindsay, D. N.: Inundation, flow dynamics, and damage in the 9 January 2018 Montecito debris-flow event, California, USA: Opportunities and challenges for post-wildfire risk assessment, Geosphere, 15, 1140–1163, https://doi.org/10.1130/GES02048.1, 2019.
Kern, A. N., Addison, P., Oommen, T., Salazar, S. E., and Coffman, R. A.: Machine Learning Based Predictive Modeling of Debris Flow Probability Following Wildfire in the Intermountain Western United States, Math. Geosci., 49, 717–735, https://doi.org/10.1007/s11004-017-9681-2, 2017.
Key, C. H. and Benson, N. C.: Landscape assessment (LA), FIREMON: Fire Effects Monitoring and Inventory System. Gen. Tech. Rep. RMRS‐GTR‐164‐CD, Department of Agriculture, Forest Service, Rocky Mountain Research Station: Fort Collins, Colorado, USA, https://www.fs.usda.gov/rm/pubs_series/rmrs/gtr/rmrs_gtr164.pdf (last access: 8 April 2024), 2006.
Kirchmeier-Young, M. C. and Zhang, X.: Human influence has intensified extreme precipitation in North America, P. Natl. Acad. Sci. USA, 117, 13308–13313, https://doi.org/10.1073/pnas.1921628117, 2020.
Lamb, M. P., Scheingross, J. S., Amidon, W. H., Swanson, E., and Limaye, A.: A model for fire-induced sediment yield by dry ravel in steep landscapes, J. Geophys. Res., 116, F03006, https://doi.org/10.1029/2010JF001878, 2011.
Lancaster, J. T., Swanson, B. J., Lukashov, S. G., Oakley, N. S., Lee, J. B., Spangler, E. R., Hernandez, J. L., Olson, B. P. E., DeFrisco, M. J., Lindsay, D. N., Schwatrz, Y. J., McCrea, S. E., Roffers, P. D., and Tran, C. M.: Observations and Analyses of the 9 January 2018 Debris-Flow Disaster, Santa Barbara County, California, Environ. Eng. Geosci., 27, 3–27, 2021.
Langhans, C., Smith, H. G., Chong, D. M. O., Nyman, P., Lane, P. N. J., and Sheridan, G. J.: A model for assessing water quality risk in catchments prone to wildfire, J. Hydrol, 534, 407–426, https://doi.org/10.1016/j.jhydrol.2015.12.048, 2016.
Larsen, I. J., Pederson, J. L., and Schmidt, J. C.: Geologic versus wildfire controls on hillslope processes and debris flow initiation in the Green River canyons of Dinosaur National Monument, Geomorphology, 81, 114–127, https://doi.org/10.1016/j.geomorph.2006.04.002, 2006.
Larsen, I. J., MacDonald, L. H., Brown, E., Rough, D., Welsh, M. J., Pietraszek, J. H., Libohova, Z., de Dios Benavides-Solorio, J., and Schaffrath, K.: Causes of post-fire runoff and erosion: water repellency, cover, or soil sealing?, Soil Sci. Soc. Am. J., 73, 1393–1407, 2009.
Liu, T., McGuire, L. A., Youberg, A. M., Gorr, A. N., and Rengers, F. K.: Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements, Earth Surf. Proc. Land., 48, 2368–2386, https://doi.org/10.1002/esp.5633, 2023.
McGuire, L. A. and Youberg, A. M.: Impacts of successive wildfire on soil hydraulic properties: Implications for debris flow hazards and system resilience, Earth Surf. Proc. Land., 44, 2236–2250, https://doi.org/10.1002/esp.4632, 2019.
McGuire, L. A. and Youberg, A. M.: What drives spatial variability in rainfall intensity-duration thresholds for post-wildfire debris flows? Insights from the 2018 Buzzard Fire, NM, USA, Landslides, 17, 2385–2399, https://doi.org/10.1007/s10346-020-01470-y, 2020.
McGuire, L. A., Kean, J. W., Staley, D. M., Rengers, F. K., and Wasklewicz, T. A.: Constraining the relative importance of raindrop- and flow-driven sediment transport mechanisms in postwildfire environments and implications for recovery time scales, J. Geophys. Res.-Earth, 121, 2211–2237, https://doi.org/10.1002/2016JF003867, 2016.
McGuire, L. A., Rengers, F. K., Kean, J. W., Staley, D. M., and Mirus, B. B.: Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post-wildfire debris flow initiation, Hydrol. Process., 32, 1173–1187, https://doi.org/10.1002/hyp.11458, 2018.
McGuire, L. A., Youberg, A. M., Rengers, F. K., Abramson, N. S., Ganesh, I., Gorr, A. N., Hoch, O., Johnson, J. C., Lamom, P., Prescott, A. B., Zanetell, J., and Fenerty, B.: Extreme Precipitation Across Adjacent Burned and Unburned Watersheds Reveals Impacts of Low Severity Wildfire on Debris-Flow Processes, J. Geophys. Res.-Earth, 126, 1–21, https://doi.org/10.1029/2020jf005997, 2021.
McGuire, L. A., Rengers, F. K., Youberg, A. M., Gorr, A. N., Hoch, O., and Beers, R.: Hydrologic monitoring and field data collected following the 2020 Tadpole Fire, New Mexico, USA, HydroShare [data set], https://doi.org/10.4211/hs.136eeec98a4141e6aedb57bdf6fb1fb5, 2023.
Meyer, G. A. and Wells, S. G.: Fire-related sedimentation events on alluvial fans, Yellowstone National Park, USA, J. Sediment. Res., 67, 776–791, 1997.
Miller, J. D. and Thode, A. E.: Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR), Remote Sens. Environ., 109, 66–80, https://doi.org/10.1016/j.rse.2006.12.006, 2007.
Moody, J. A., Smith, J. D., and Ragan, B. W.: Critical shear stress for erosion of cohesive soils subjected to temperatures typical of wildfires, J. Geophys. Res.-Earth, 110, F01004, https://doi.org/10.1029/2004JF000141, 2005.
Moody, J. A., Ebel, B. A., Nyman, P., Martin, D. A., Stoof, C., and Mckinley, R.: Relations between soil hydraulic properties and burn severity, Int. J. Wildland Fire, 25, 279–293, https://doi.org/10.1071/WF14062, 2016.
Neris, J., Tejedor, M., Rodríguez, M., Fuentes, J., and Jiménez, C.: Effect of forest floor characteristics on water repellency, infiltration, runoff and soil loss in Andisols of Tenerife (Canary Islands, Spain), Catena, 108, 50–57, https://doi.org/10.1016/j.catena.2012.04.011, 2013.
Nikolopoulos, E. I., Destro, E., Bhuiyan, M. A. E., Borga, M., and Anagnostou, E. N.: Evaluation of predictive models for post-fire debris flow occurrence in the western United States, Nat. Hazards Earth Syst. Sci., 18, 2331–2343, https://doi.org/10.5194/nhess-18-2331-2018, 2018.
Nyman, P., Sheridan, G., Smith, H. G., and Lane, P. N. J.: Evidence of debris flow occurrence after wildfire in upland catchments of south-east Australia, Geomorphology, 125, 383–401, 2011.
Nyman, P., Smith, H. G., Sherwin, C. B., Langhans, C., Lane, P. N. J., and Sheridan, G. J.: Predicting sediment delivery from debris flows after wildfire, Geomorphology, 250, 173–186, https://doi.org/10.1016/j.geomorph.2015.08.023, 2015.
Oakley, N. S., Lancaster, J. T., Kaplan, M. L., and Ralph, F. M.: Synoptic conditions associated with cool season post-fire debris flows in the Transverse Ranges of southern California, Nat. Hazards, 88, 327–354, https://doi.org/10.1007/s11069-017-2867-6, 2017.
Palucis, M. C., Ulizio, T. P., and Lamb, M. P.: Debris Flow Initiation From Ravel-Filled Channel Bed Failure Following Wildfire In A Bedrock Landscape With Limited Sediment Supply, Bull. Geol. Soc. Am., 133, 2079–2096, https://doi.org/10.1130/B35822.1, 2021.
Panagos, P., Meusburger, K., Ballabio, C., Borrelli, P., and Alewell, C.: Soil erodibility in Europe: A high-resolution dataset based on LUCAS, Sci. Total Environ., 479–480, 189–200, https://doi.org/10.1016/j.scitotenv.2014.02.010, 2014.
Parise, M. and Cannon, S. H.: Wildfire impacts on the processes that generate debris flows in burned watersheds, Nat. Hazards, 61, 217–227, https://doi.org/10.1007/s11069-011-9769-9, 2012.
Parsons, A., Robichaud, P. R., Lewis, S. A., Napper, C., and Clark, J. T.: Field guide for mapping post-fire soil burn severity, General Technical Report RMRS-GTR, USDA Forest Service, https://doi.org/10.2737/RMRS-GTR-243, 1–49, 2010.
Peduto, D., Iervolino, L., Esposito, G., Foresta, V., Matano, F., and Masi, R.: Clues of wildfire-induced geotechnical changes in volcanic soils affected by post-fire slope instabilities, B. Eng. Geol. Environ., 81, 454, https://doi.org/10.1007/s10064-022-02947-x, 2022.
Pierson, T. C.: Distinguishing between Debris Flows and Floods from Field Evidence in Small Watersheds, U. S. Geological Survey Fact Sheet No. 2004-3142, U.S. Geological Survey, https://doi.org/10.3133/fs20043142, 2005.
Porter, R., Joyal, T., Beers, R., Loverich, J., LaPlante, A., Spruell, J., Youberg, A., Schenk, E., Robichaud, P. R., and Springer, A. E.: Seismic Monitoring of Post-wildfire Debris Flows Following the 2019 Museum Fire, Arizona, Front. Earth Sci., 9, 649938, https://doi.org/10.3389/feart.2021.649938, 2021.
Raymond, C. A., McGuire, L. A., Youberg, A. M., Staley, D. M., and Kean, J. W.: Thresholds for post-wildfire debris flows: Insights from the Pinal Fire, Arizona, USA, Earth Surf. Proc. Land., 45, 1349–1360, https://doi.org/10.1002/esp.4805, 2020.
Rengers, F. K., McGuire, L. A., Kean, J. W., Staley, D. M., and Hobley, D. E. J.: Model simulations of flood and debris flow timing in steep catchments after wildfire, Water Resour. Res., 52, 6041–6061, https://doi.org/10.1002/2015WR018176, 2016.
Rengers, F. K., McGuire, L. A., Kean, J. W., Staley, D. M., and Youberg, A. M.: Progress in simplifying hydrologic model parameterization for broad applications to post-wildfire flooding and debris-flow hazards, Earth Surf. Proc. Land., 44, 3078–3092, https://doi.org/10.1002/esp.4697, 2019.
Rengers, F. K., McGuire, L. A., Youberg, A. M., Gorr, A. N., Hoch, O., Barnhart, K. R., and Beers, R.: Tadpole fire field measurements following the 8 September 2020 debris flow, Gila National Forest, NM, U. S. Geological Survey data release, U.S. Geological Survey, https://doi.org/10.5066/P9I564PP, 2022.
Rengers, F. K., McGuire, L. A., Barnhart, K. R., Youberg, A. M., Cadol, D., Gorr, A. N., Hoch, O. J., Beers, R., and Kean, J. W.: The influence of large woody debris on post-wildfire debris flow sediment storage, Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, 2023.
Robichaud, P. R. and Hungerford, R. D.: Water repellency by laboratory burning of four northern Rocky Mountain forest soils, J. Hydrol, 231, 207–219, 2000.
Robichaud, P. R., Jordan, P., Lewis, S. A., Ashmun, L. E., Covert, S. A., and Brown, R. E.: Evaluating the effectiveness of wood shred and agricultural straw mulches as a treatment to reduce post-wildfire hillslope erosion in southern British Columbia, Canada, Geomorphology, 197, 21–33, 2013.
Robichaud, P. R., Wagenbrenner, J. W., Pierson, F. B., Spaeth, K. E., Ashmun, L. E., and Moffet, C. A.: Infiltration and interrill erosion rates after a wildfire in western Montana, USA, Catena, 142, 77–88, 2016.
Schmidt, K. M., Hanshaw, M. N., Howle, J. F., Kean, J. W., Staley, D. M., Stock, J. D., and Bawden, G. W.: Hydrologic conditions and terrestrial laser scanning of post-fire debris flows in the San Gabriel Mountains, CA, USA, Italian Journal of Engineering Geology and Environment, Special issue: V Conference Debris Flow, 583–593, https://doi.org/10.4408/IJEGE.2011-03.B-064, 2011.
Scholle, P. A.: Geologic Map of New Mexico, Tech. rep., New Mexico Bureau of Geology and Mineral Resources, ISBN 883905168, 2003.
Schwarz, G. E. and Alexander, R. B.: Soils data for the Conterminous United States Derived from the NRCS State Soil Geographic (STATSGO) Data Base, U. S. Geological Survey data release, U.S. Geological Survey, https://doi.org/10.5066/P94JAULO, 1995.
Scott, D. F. and van Wyk, D. B.: The effects of wildfire on soil wettability and hydrological behaviour of an afforested catchment, J. Hydrol, 121, 239–256, 1990.
Singleton, M. P., Thode, A. E., Sánchez Meador, A. J., and Iniguez, J. M.: Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015, Forest Ecol. Manag., 433, 709–719, https://doi.org/10.1016/j.foreco.2018.11.039, 2019.
Smith, D. P., Schnieders, J., Marshall, L., Melchor, K., Wolfe, S., Campbell, D., French, A., Randolph, J., Whitaker, M., Klein, J., Steinmetz, C., and Kwan, R.: Influence of a Post-dam Sediment Pulse and Post-fire Debris Flows on Steelhead Spawning Gravel in the Carmel River, California, Front. Earth Sci., 9, 802825, https://doi.org/10.3389/feart.2021.802825, 2021.
Staley, D. M., Kean, J. W., Cannon, S. H., Schmidt, K. M., and Laber, J. L.: Objective definition of rainfall intensity-duration thresholds for the initiation of post-fire debris flows in southern California, Landslides, 10, 547–562, https://doi.org/10.1007/s10346-012-0341-9, 2013.
Staley, D. M., Negri, J. A., Kean, J. W., Laber, J. L., Tillery, A. C., and Youberg, A. M.: Prediction of spatially explicit rainfall intensity–duration thresholds for post-fire debris-flow generation in the western United States, Geomorphology, 278, 149–162, 2017.
Staley, D. M., Kean, J. W., and Rengers, F. K.: The recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States, Geomorphology, 370, 107392, https://doi.org/10.1016/j.geomorph.2020.107392, 2020.
Stoof, C. R., Vervoort, R. W., Iwema, J., van den Elsen, E., Ferreira, A. J. D., and Ritsema, C. J.: Hydrological response of a small catchment burned by experimental fire, Hydrol. Earth Syst. Sci., 16, 267–285, https://doi.org/10.5194/hess-16-267-2012, 2012.
Stoof, C. R., Ferreira, A. J. D., Mol, W., van den Berg, J., de Kort, A., Drooger, S., Slingerland, E. C., Mansholt, A. U., Ferreira, C. S. S., and Ritsema, C. J.: Soil surface changes increase runoff and erosion risk after a low-moderate severity fire, Geoderma, 239, 58–67, https://doi.org/10.1016/j.geoderma.2014.09.020, 2015.
Thomas, M. A., Rengers, F. K., Kean, J. W., McGuire, L. A., Staley, D. M., Barnhart, K. R., and Ebel, B. A.: Postwildfire Soil-Hydraulic Recovery and the Persistence of Debris Flow Hazards, J. Geophys. Res.-Earth, 126, e2021JF006091, https://doi.org/10.1029/2021JF006091, 2021.
Tillery, A. C. and Matherne, A. M.: Postwildfire debris-flow hazard assessment of the area burned by the 2012 Little Bear fire, south-central New Mexico, U. S. Geological Survey Open-File Report 2013–1108, U.S. Geological Survey, 2012.
Tillery, A. C. and Rengers, F. K.: Controls on debris-flow initiation on burned and unburned hillslopes during an exceptional rainstorm in southern New Mexico, USA, Earth Surf. Proc. Land., 45, 1051–1066, https://doi.org/10.1002/esp.4761, 2020.
Tillery, A. C., Haas, J. R., Miller, L. W., Scott, J. H., and Thompson, M. P: Potential Postwildfire Debris-Flow Hazards–A Prewildfire Evaluation for the Sandia and Manzano Mountains and Surrounding Areas, Central New Mexico, Scientific Investigations Report 2014-5161, U.S. Geological Survey, https://doi.org/10.3133/sir20145161, 2014.
Van Eck, C. M., Nunes, J. P., Vieira, D. C. S., Keesstra, S., and Keizer, J. J.: Physically-Based Modelling of the Post-Fire Runoff Response of a Forest Catchment in Central Portugal: Using Field versus Remote Sensing Based Estimates of Vegetation Recovery, Land Degrad. Dev., 27, 1535–1544, https://doi.org/10.1002/ldr.2507, 2016.
Vandervaere, J.-P., Vauclin, M., and Elrick, D. E.: Transient flow from tension infiltrometers II. Four methods to determine sorptivity and conductivity, Soil Sci. Soc. Am. J., 64, 1272–1284, 2000..
Vieira, D. C. S., Fernández, C., Vega, J. A., and Keizer, J. J.: Does soil burn severity affect the post-fire runoff and interrill erosion response? A review based on meta-analysis of field rainfall simulation data, J. Hydrol, 523, 452–464, https://doi.org/10.1016/j.jhydrol.2015.01.071, 2015.
Wall, S. A., Roering, J. J., and Rengers, F. K.: Runoff-initiated post-fire debris flow Western Cascades, Oregon, Landslides, 17, 1649–1661, https://doi.org/10.1007/s10346-020-01376-9, 2020.
Wang, Y., Hu, X., Wu, L., Ma, G., Yang, Y., and Jing, T.: Evolutionary history of post-fire debris flows in Ren'e Yong valley in Sichuan Province of China, Landslides, 19, 1479–1490, https://doi.org/10.1007/s10346-022-01867-x, 2022.
Wells, W. G.: The effects of fire on the generation of debris flows in southern California, Reviews in Engineering Geology, 7, 105–114, 1987.
Zhang, R.: Determination of soil sorptivity and hydraulic conductivity from the disk infiltrometer, Soil Sci. Soc. Am. J., 61, 1024–1030, 1997.
Short summary
Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris flows. We monitored debris flow activity following a fire in western New Mexico, USA, and observed 16 debris flows over a <2-year monitoring period. Rainstorms with recurrence intervals of approximately 1 year were sufficient to initiate debris flows. All debris flows initiated during the first several months following the fire, indicating a rapid decrease in debris flow susceptibility over time.
Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris...
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