Articles | Volume 16, issue 2
https://doi.org/10.5194/nhess-16-449-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-449-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Feb 2016
Research article |
| 11 Feb 2016
Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada
A. Blais-Stevens
CORRESPONDING AUTHOR
Geological Survey of Canada, 601 Booth Street, Ottawa, K1A0E8, Canada
P. Behnia
Geological Survey of Canada, 601 Booth Street, Ottawa, K1A0E8, Canada
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Cited
31 citations as recorded by crossref.
- Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. 10.1007/s00477-021-02093-y
- Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada P. Behnia & A. Blais-Stevens 10.1007/s11069-017-3104-z
- Lahar flow characteristic of Semeru Volcano based on Flow-R Model and its countermeasure M. Munir et al. 10.1088/1755-1315/1343/1/012032
- A methodological framework for flood hazard assessment for land transport infrastructures C. Samela et al. 10.1016/j.ijdrr.2022.103491
- Nature-Based Solution Integration to Enhance Urban Geomorphological Mapping: A Methodological Approach E. Hamidova et al. 10.3390/land13040467
- Glacial debris flow susceptibility mapping based on combined models in the Parlung Tsangpo Basin, China Y. Zhou et al. 10.1007/s11629-023-8500-0
- Exploring the potential relationship between the occurrence of debris flow and landslides Z. Liang et al. 10.5194/nhess-21-1247-2021
- Exploring Complementary Models Consisting of Machine Learning Algorithms for Landslide Susceptibility Mapping H. Hu et al. 10.3390/ijgi10100639
- Regional debris flow susceptibility analysis based on principal component analysis and self-organizing map: a case study in Southwest China Q. Wang et al. 10.1007/s12517-016-2752-8
- Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. 10.3390/s19163451
- Classification and susceptibility assessment of debris flow based on a semi-quantitative method combination of the fuzzy <i>C</i>-means algorithm, factor analysis and efficacy coefficient Z. Liang et al. 10.5194/nhess-20-1287-2020
- Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al. 10.1007/s11069-022-05487-5
- Regional assessment of coastal landslide susceptibility in Liguria, Northern Italy, using MaxEnt S. Orefice & C. Innocenti 10.1007/s11069-024-06833-5
- Dynamic hazard assessment of group-occurring debris flows based on a coupled model Y. Nie et al. 10.1007/s11069-021-04558-3
- Combining stratigraphic forward modeling and susceptibility mapping to investigate the origin and evolution of submarine canyons L. Wan et al. 10.1016/j.geomorph.2021.108047
- Development of a region-partitioning method for debris flow susceptibility mapping S. Qiao et al. 10.1007/s11629-020-6497-1
- Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China Y. Li et al. 10.1007/s12583-022-1803-1
- At the Intersection of Flood Risk and Social Vulnerability: A Case Study of New Orleans, Louisiana, USA S. Garcia-Rosabel et al. 10.3390/geohazards5030044
- Regional landslide susceptibility assessment using multi-stage remote sensing data along the coastal range highway in northeastern Taiwan C. Lee et al. 10.1016/j.geomorph.2017.10.019
- Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization M. Sturzenegger et al. 10.2113/EEG-D-20-00006
- A user-centered mapping design for geomorphological hazard thematic map S. Shen et al. 10.1080/17445647.2023.2251510
- Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. 10.1007/s11629-018-5098-8
- Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al. 10.1002/esp.5501
- Mapping debris flow susceptibility based on watershed unit and grid cell unit: a comparison study S. Qin et al. 10.1080/19475705.2019.1604572
- A comparison of statistical and machine learning methods for debris flow susceptibility mapping Z. Liang et al. 10.1007/s00477-020-01851-8
- Susceptibility areas identification and risk assessment of debris flow using the Flow-R model: a case study of Basu County of Tibet H. Xu et al. 10.1186/s40677-022-00216-3
- Debris flow susceptibility and propagation assessment in West Koyulhisar, Turkey A. Polat & D. Erik 10.1007/s11629-020-6261-6
- Assessment of exposed elements in a changing built environment by using an integrated model of debris flow initiation and runout (Kalimpong region, Himalaya) S. Bera et al. 10.1007/s10064-021-02352-w
- Susceptibility assessment of rainfall induced debris flow zones in Ladakh–Nubra region, Indian Himalaya H. Negi et al. 10.1007/s12040-019-1277-4
- Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study D. Vianello et al. 10.1007/s10346-022-01985-6
- Hazard regionalization of debris-flow disasters along highways in China C. Yin & J. Zhang 10.1007/s11069-018-3229-8
30 citations as recorded by crossref.
- Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. 10.1007/s00477-021-02093-y
- Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada P. Behnia & A. Blais-Stevens 10.1007/s11069-017-3104-z
- Lahar flow characteristic of Semeru Volcano based on Flow-R Model and its countermeasure M. Munir et al. 10.1088/1755-1315/1343/1/012032
- A methodological framework for flood hazard assessment for land transport infrastructures C. Samela et al. 10.1016/j.ijdrr.2022.103491
- Nature-Based Solution Integration to Enhance Urban Geomorphological Mapping: A Methodological Approach E. Hamidova et al. 10.3390/land13040467
- Glacial debris flow susceptibility mapping based on combined models in the Parlung Tsangpo Basin, China Y. Zhou et al. 10.1007/s11629-023-8500-0
- Exploring the potential relationship between the occurrence of debris flow and landslides Z. Liang et al. 10.5194/nhess-21-1247-2021
- Exploring Complementary Models Consisting of Machine Learning Algorithms for Landslide Susceptibility Mapping H. Hu et al. 10.3390/ijgi10100639
- Regional debris flow susceptibility analysis based on principal component analysis and self-organizing map: a case study in Southwest China Q. Wang et al. 10.1007/s12517-016-2752-8
- Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. 10.3390/s19163451
- Classification and susceptibility assessment of debris flow based on a semi-quantitative method combination of the fuzzy <i>C</i>-means algorithm, factor analysis and efficacy coefficient Z. Liang et al. 10.5194/nhess-20-1287-2020
- Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al. 10.1007/s11069-022-05487-5
- Regional assessment of coastal landslide susceptibility in Liguria, Northern Italy, using MaxEnt S. Orefice & C. Innocenti 10.1007/s11069-024-06833-5
- Dynamic hazard assessment of group-occurring debris flows based on a coupled model Y. Nie et al. 10.1007/s11069-021-04558-3
- Combining stratigraphic forward modeling and susceptibility mapping to investigate the origin and evolution of submarine canyons L. Wan et al. 10.1016/j.geomorph.2021.108047
- Development of a region-partitioning method for debris flow susceptibility mapping S. Qiao et al. 10.1007/s11629-020-6497-1
- Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China Y. Li et al. 10.1007/s12583-022-1803-1
- At the Intersection of Flood Risk and Social Vulnerability: A Case Study of New Orleans, Louisiana, USA S. Garcia-Rosabel et al. 10.3390/geohazards5030044
- Regional landslide susceptibility assessment using multi-stage remote sensing data along the coastal range highway in northeastern Taiwan C. Lee et al. 10.1016/j.geomorph.2017.10.019
- Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization M. Sturzenegger et al. 10.2113/EEG-D-20-00006
- A user-centered mapping design for geomorphological hazard thematic map S. Shen et al. 10.1080/17445647.2023.2251510
- Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. 10.1007/s11629-018-5098-8
- Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al. 10.1002/esp.5501
- Mapping debris flow susceptibility based on watershed unit and grid cell unit: a comparison study S. Qin et al. 10.1080/19475705.2019.1604572
- A comparison of statistical and machine learning methods for debris flow susceptibility mapping Z. Liang et al. 10.1007/s00477-020-01851-8
- Susceptibility areas identification and risk assessment of debris flow using the Flow-R model: a case study of Basu County of Tibet H. Xu et al. 10.1186/s40677-022-00216-3
- Debris flow susceptibility and propagation assessment in West Koyulhisar, Turkey A. Polat & D. Erik 10.1007/s11629-020-6261-6
- Assessment of exposed elements in a changing built environment by using an integrated model of debris flow initiation and runout (Kalimpong region, Himalaya) S. Bera et al. 10.1007/s10064-021-02352-w
- Susceptibility assessment of rainfall induced debris flow zones in Ladakh–Nubra region, Indian Himalaya H. Negi et al. 10.1007/s12040-019-1277-4
- Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study D. Vianello et al. 10.1007/s10346-022-01985-6
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
The main objective is to fill knowledge gaps related to debris flow hazards in northern Canada for decision-makers. This study has tested two debris flow susceptibility methods in areas along the Yukon Alaska Highway corridor. One knowledge driven qualitative heuristic method for the northern part of the corridor and one data driven quantitative method using Flow-R for a smaller area close to Kluane Lake within the corridor. Both methods have shown good correlation with debris flow inventory.
The main objective is to fill knowledge gaps related to debris flow hazards in northern Canada...
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