Articles | Volume 18, issue 9
Nat. Hazards Earth Syst. Sci., 18, 2331–2343, 2018
https://doi.org/10.5194/nhess-18-2331-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 18, 2331–2343, 2018
https://doi.org/10.5194/nhess-18-2331-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 04 Sep 2018
Research article | 04 Sep 2018
Evaluation of predictive models for post-fire debris flow occurrence in the western United States
Efthymios I. Nikolopoulos et al.
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Cited
10 citations as recorded by crossref.
- Advanced wind speed prediction using convective weather variables through machine learning application B. Md Abul Ehsan et al. 10.1016/j.acags.2019.100002
- Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al. 10.1016/j.jhydrol.2019.123957
- Weather-related thresholds for wildfire danger in a Mediterranean region: The case of Greece K. Papagiannaki et al. 10.1016/j.agrformet.2020.108076
- Fire Risk Assessment Models Using Statistical Machine Learning and Optimized Risk Indexing M. Choi & S. Jun 10.3390/app10124199
- A hybrid SVR-PSO model to predict concentration of sediment in typical and debris floods M. Kazemi et al. 10.1007/s12145-021-00570-0
- Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province J. Xiong et al. 10.3390/ijgi9020133
- Susceptibility assessment of “2020.3.30” Xichang post-fire debris flow using a machine learning method T. Jin et al. 10.1088/1755-1315/861/6/062039
- Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China Y. Zhang et al. 10.3390/rs11232801
- Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al. 10.5194/nhess-21-2773-2021
- Minimal effect of prescribed burning on fire spread rate and intensity in savanna ecosystems A. Moustakas & O. Davlias 10.1007/s00477-021-01977-3
10 citations as recorded by crossref.
- Advanced wind speed prediction using convective weather variables through machine learning application B. Md Abul Ehsan et al. 10.1016/j.acags.2019.100002
- Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al. 10.1016/j.jhydrol.2019.123957
- Weather-related thresholds for wildfire danger in a Mediterranean region: The case of Greece K. Papagiannaki et al. 10.1016/j.agrformet.2020.108076
- Fire Risk Assessment Models Using Statistical Machine Learning and Optimized Risk Indexing M. Choi & S. Jun 10.3390/app10124199
- A hybrid SVR-PSO model to predict concentration of sediment in typical and debris floods M. Kazemi et al. 10.1007/s12145-021-00570-0
- Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province J. Xiong et al. 10.3390/ijgi9020133
- Susceptibility assessment of “2020.3.30” Xichang post-fire debris flow using a machine learning method T. Jin et al. 10.1088/1755-1315/861/6/062039
- Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China Y. Zhang et al. 10.3390/rs11232801
- Evaluating methods for debris-flow prediction based on rainfall in an Alpine catchment J. Hirschberg et al. 10.5194/nhess-21-2773-2021
- Minimal effect of prescribed burning on fire spread rate and intensity in savanna ecosystems A. Moustakas & O. Davlias 10.1007/s00477-021-01977-3
Latest update: 18 Jan 2022
Short summary
Debris flows, following wildfires, constitute a significant threat to downstream populations and infrastructure. Therefore, developing measures to reduce the vulnerability of local communities to debris flows is of paramount importance. This work proposes a new model for predicting post-fire debris flow occurrence on a regional scale and demonstrates that the proposed model has notably higher skill than the currently used approaches.
Debris flows, following wildfires, constitute a significant threat to downstream populations and...
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