A New Approach to Mapping Landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA - Research Data


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Created: Aug 19, 2020 at 8:32 p.m.
Last updated: Aug 19, 2020 at 9:01 p.m.
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Abstract

We developed a new approach for mapping landslide hazard combining probabilities of landslide impact derived from a data-driven statistical approach applied to three different landslide datasets and a physically-based model of shallow landsliding. This data includes the site characteristics used in the empirical approach to derive a susceptibility index (SI) and a probability of failure, and the physically based probability derived from a previous regional study (see Related Resources). These probabilities are integrated into a weighting term that is used to adjust the physical model of landslide initiation to account for empirical evidence not captured by the infinite slope stability model alone. The data and modeling are for a 30 meter grid resolution study domain in the North Cascades National Park Complex, Washington, U.S.A (see Resource Coverage).

The data are provided as Esri ArcGIS shapefiles and rasters, as well as an example ASCII files for one raster and the header for conversion of ASCII to raster. Spatial reference for raster mapping is NAD_1983, Albers conical equal area projection. Elevation was acquired from National Elevation Dataset (NED) at 30 m grid scale; other datasets are matched to scale and location. Curvature, slope (tan theta), and aspect are derived from elevation. A wetness index, divided into five categories, is derived from elevation calculated as the natural log of the ratio of the specific catchment area to the sine of the local slope. Land use and land cover (LULC) data were acquired from USGS National Land Cover Data (NLCD) based on 2011 Landsat satellite data and grouped into eight general categories. Mapped landslides were provided by the National Park Service (NPS) from a landform mapping inventory. Source areas used to define initiation zones were identified as the upper 20% of debris avalanche landslide types. Lithology is provided by Washington State Department of Natural Resources surface geology maps and is grouped into seven categories. Other layers include the boundary of the national park used to demonstrate the model, the area included in the analysis (i.e., excluding high-elevation areas covered by glaciers, permanent snowfields, and exposed bedrock, wetlands and other water surfaces, and slopes less than 17 degrees), the empirical based SI, the calculated weight, and the probabilities of landslide activity for the empirical, physical, and weight-adjusted physical models. Additional data and information that supports this research or facilitates future research is available in Supplementary Information (See Related Resources).

This repository holds the data used in the paper: A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA, published in Natural Hazards and Earth System Sciences 19, 1-19, 2019.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
North Cascades National Park Complex
North Latitude
49.0313°
East Longitude
-120.4688°
South Latitude
48.2188°
West Longitude
-121.6563°

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References

Related Resources

The content of this resource is part of: Supplemental information available at: https://www.hydroshare.org/resource/01d920ba8aea4a91927aa154d187f510/
The content of this resource serves as the data for: Strauch, R., Istanbulluoglu, E. and Riedel, J. A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades ofWashington, USA, Nat. Hazards Earth Syst. Sci., 19, 1–19, 2019.
This resource cites: Strauch, R., Istanbulluoglu, E., Nudurupati, S. S., Bandaragoda, C., Gasparini, N. M., and Tucker, G. E.: A hydro-climatological approach to predicting regional landslide probability using Landlab, Earth Surf. Dynam., 6, 49–75, https://doi.org/10.5194/esurf- 6-49-2018, 2018.
The content of this resource was copied from: https://www.hydroshare.org/resource/6d8c3c46f4c8422796f28584eb9bdfaa/

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
US National Science Foundation CBET 1336725
US National Science Foundation ICER, PREEVENTS 1663859
US Department of Interior, US Geological Society, Northwest Climate Adaptation Science Center Graduate Fellowship Award GS240B-B

How to Cite

Strauch, R., E. Istanbulluoglu, J. Riedel (2020). A New Approach to Mapping Landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA - Research Data, HydroShare, http://www.hydroshare.org/resource/c83e2ac0cee34496980857830ed4ffdb

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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