Landslide Inventory and Susceptibility Mapping for a Proposed Pipeline Route, Yukon Alaska Highway Corridor, Canada

Blais-Stevens, A; Lipovsky, Panya; Kremer, Marian; Couture, R; Page, A

doi:10.1007/978-3-642-31319-6_30

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…BlaisStevens et al (2010a) published a regional landslide inventory based solely on aerial photo interpretation aerial photos from National Air-Photo Library) that also included the contribution by Huscroft et al (2004). Interpretation of high-resolution satellite imagery (WorldView-2) collected in 2010 helped fine tune and update the inventory that was used to validate regional landslide susceptibility models as well as field verification (Blais-Stevens et al, 2010b, 2011. Horton et al (2008Horton et al ( , 2013 used a distributed empirical model that can be transposed to a small area within YAHC where an inventory of past events exist.…”

Section: Previous Workmentioning

confidence: 99%

“…As a first step in assessing the types of geohazards, the GSC in collaboration with the Yukon Geological Survey (Huscroft et al, 2004), compiled an inventory of geological hazards, particularly landslides (Blais-Stevens et al, 2010a). Several landslide types were observed including debris flows, debris slides, rockfalls, rock slides, active layer detachment slides, retrogressive thaw slumps, among others (Blais-Stevens et al, 2011). Once the baseline landslide information was compiled, the next step was to provide an overview of the landslide distribution and landslide "hot spots" by plotting distribution maps and producing regional qualitative landslide susceptibility maps (Blais-Stevens et al, 2010b, 2011Couture et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Several landslide types were observed including debris flows, debris slides, rockfalls, rock slides, active layer detachment slides, retrogressive thaw slumps, among others (Blais-Stevens et al, 2011). Once the baseline landslide information was compiled, the next step was to provide an overview of the landslide distribution and landslide "hot spots" by plotting distribution maps and producing regional qualitative landslide susceptibility maps (Blais-Stevens et al, 2010b, 2011Couture et al, 2010). Different susceptibility models were created for different types of landslides, namely rockfall/rock slides, active layer detachment slides, retrogressive thaw slumps, and debris flows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada

Blais-Stevens

Behnia

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. 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.

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Section: Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada

Blais-Stevens

Behnia

2016

Nat. Hazards Earth Syst. Sci.

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Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada

Behnia

Blais-Stevens

2017

Nat Hazards

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Analysis of remote sensing data pertaining to debris flows: Insights from selected drainage basins in Bulgaria

Tamburadzhiev

2024

J geographical I JC

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The present study is focused on remote sensing data analysis of the factors for the formation and development of debris flows in mountain drainage basins in Bulgaria. The rate of debris flow susceptibility in the range of the selected drainage basins was investigated. The relevance of the present study is related to the frequency of adverse hydro-climatic phenomena of natural and anthropogenic origin in the last decade in different parts of Bulgaria. Topographic conditions (slope angle), lithology, and land cover (vegetation) are considered as a complex area factor for the formation and development of debris flows. A morphometric analysis of the relief and the drainage network was carried out in order to analyze the debris flow susceptibility. Morphometric parameters and the Normalized Difference Vegetation Index (NDVI) were calculated in Geographic Information System (GIS) environment. The channel networks were classified by stream ordering. GIS analysis is done on the basis of Digital Elevation Model (DEM), Landsat multispectral satellite images, and geological maps. A complex debris flow susceptibility analysis was carried out. A classification system for debris flow susceptibility was generated. The complex analysis of the slope angle, lithology, and land cover within the studied basins show that drainage basins characterized predominantly by rocks of volcanic igneous complex and to a considerable extent by bare soils and arable lands are more susceptible to debris flows. The percentage of the highest rates of debris flow susceptibility is extremely low for the four studied drainage basins, which is largely due to the smaller slope gradients.

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Landslide Inventory and Susceptibility Mapping for a Proposed Pipeline Route, Yukon Alaska Highway Corridor, Canada

Cited by 4 publications

References 11 publications

Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada

Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada

Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada

Analysis of remote sensing data pertaining to debris flows: Insights from selected drainage basins in Bulgaria

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