Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada
This research activity aimed at reducing risk to infrastructure, such as a proposed pipeline route roughly parallel to the Yukon Alaska Highway Corridor (YAHC), by filling geoscience knowledge gaps in geohazards. Hence, the Geological Survey of Canada compiled an inventory of landslides including de...
Published in: | Natural Hazards and Earth System Sciences |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus Publications
2016
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00014065 2023-05-15T18:48:43+02:00 Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada Blais-Stevens, A. Behnia, P. 2016-02 electronic https://doi.org/10.5194/nhess-16-449-2016 https://noa.gwlb.de/receive/cop_mods_00014065 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00014021/nhess-16-449-2016.pdf https://nhess.copernicus.org/articles/16/449/2016/nhess-16-449-2016.pdf eng eng Copernicus Publications Natural Hazards and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2064587 -- http://www.nat-hazards-earth-syst-sci.net/ -- 1684-9981 https://doi.org/10.5194/nhess-16-449-2016 https://noa.gwlb.de/receive/cop_mods_00014065 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00014021/nhess-16-449-2016.pdf https://nhess.copernicus.org/articles/16/449/2016/nhess-16-449-2016.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2016 ftnonlinearchiv https://doi.org/10.5194/nhess-16-449-2016 2022-02-08T22:55:19Z This research activity aimed at reducing risk to infrastructure, such as a proposed pipeline route roughly parallel to the Yukon Alaska Highway Corridor (YAHC), by filling geoscience knowledge gaps in geohazards. Hence, the Geological Survey of Canada compiled an inventory of landslides including debris flow deposits, which were subsequently used to validate two different debris flow susceptibility models. A qualitative heuristic debris flow susceptibility model was produced for the northern region of the YAHC, from Kluane Lake to the Alaska border, by integrating data layers with assigned weights and class ratings. These were slope angle, slope aspect, surficial geology, plan curvature, and proximity to drainage system. Validation of the model was carried out by calculating a success rate curve which revealed a good correlation with the susceptibility model and the debris flow deposit inventory compiled from air photos, high-resolution satellite imagery, and field verification. In addition, the quantitative Flow-R method was tested in order to define the potential source and debris flow susceptibility for the southern region of Kluane Lake, an area where documented debris flow events have blocked the highway in the past (e.g. 1988). Trial and error calculations were required for this method because there was not detailed information on the debris flows for the YAHC to allow us to define threshold values for some parameters when calculating source areas, spreading, and runout distance. Nevertheless, correlation with known documented events helped define these parameters and produce a map that captures most of the known events and displays debris flow susceptibility in other, usually smaller, steep channels that had not been previously documented. Article in Journal/Newspaper Alaska Yukon Niedersächsisches Online-Archiv NOA Canada Kluane Lake ENVELOPE(-138.773,-138.773,61.261,61.261) Yukon Natural Hazards and Earth System Sciences 16 2 449 462 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Blais-Stevens, A. Behnia, P. Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada |
topic_facet |
article Verlagsveröffentlichung |
description |
This research activity aimed at reducing risk to infrastructure, such as a proposed pipeline route roughly parallel to the Yukon Alaska Highway Corridor (YAHC), by filling geoscience knowledge gaps in geohazards. Hence, the Geological Survey of Canada compiled an inventory of landslides including debris flow deposits, which were subsequently used to validate two different debris flow susceptibility models. A qualitative heuristic debris flow susceptibility model was produced for the northern region of the YAHC, from Kluane Lake to the Alaska border, by integrating data layers with assigned weights and class ratings. These were slope angle, slope aspect, surficial geology, plan curvature, and proximity to drainage system. Validation of the model was carried out by calculating a success rate curve which revealed a good correlation with the susceptibility model and the debris flow deposit inventory compiled from air photos, high-resolution satellite imagery, and field verification. In addition, the quantitative Flow-R method was tested in order to define the potential source and debris flow susceptibility for the southern region of Kluane Lake, an area where documented debris flow events have blocked the highway in the past (e.g. 1988). Trial and error calculations were required for this method because there was not detailed information on the debris flows for the YAHC to allow us to define threshold values for some parameters when calculating source areas, spreading, and runout distance. Nevertheless, correlation with known documented events helped define these parameters and produce a map that captures most of the known events and displays debris flow susceptibility in other, usually smaller, steep channels that had not been previously documented. |
format |
Article in Journal/Newspaper |
author |
Blais-Stevens, A. Behnia, P. |
author_facet |
Blais-Stevens, A. Behnia, P. |
author_sort |
Blais-Stevens, A. |
title |
Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada |
title_short |
Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada |
title_full |
Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada |
title_fullStr |
Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada |
title_full_unstemmed |
Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada |
title_sort |
debris flow susceptibility mapping using a qualitative heuristic method and flow-r along the yukon alaska highway corridor, canada |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/nhess-16-449-2016 https://noa.gwlb.de/receive/cop_mods_00014065 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00014021/nhess-16-449-2016.pdf https://nhess.copernicus.org/articles/16/449/2016/nhess-16-449-2016.pdf |
long_lat |
ENVELOPE(-138.773,-138.773,61.261,61.261) |
geographic |
Canada Kluane Lake Yukon |
geographic_facet |
Canada Kluane Lake Yukon |
genre |
Alaska Yukon |
genre_facet |
Alaska Yukon |
op_relation |
Natural Hazards and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2064587 -- http://www.nat-hazards-earth-syst-sci.net/ -- 1684-9981 https://doi.org/10.5194/nhess-16-449-2016 https://noa.gwlb.de/receive/cop_mods_00014065 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00014021/nhess-16-449-2016.pdf https://nhess.copernicus.org/articles/16/449/2016/nhess-16-449-2016.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/nhess-16-449-2016 |
container_title |
Natural Hazards and Earth System Sciences |
container_volume |
16 |
container_issue |
2 |
container_start_page |
449 |
op_container_end_page |
462 |
_version_ |
1766241976795004928 |