Articles | Volume 19, issue 11
Nat. Hazards Earth Syst. Sci., 19, 2477–2495, 2019
https://doi.org/10.5194/nhess-19-2477-2019

Special issue: Advances in computational modelling of natural hazards and...

Nat. Hazards Earth Syst. Sci., 19, 2477–2495, 2019
https://doi.org/10.5194/nhess-19-2477-2019

Research article 12 Nov 2019

Research article | 12 Nov 2019

A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA

Ronda Strauch et al.

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Cited articles

Agee, J. K. and Kertis, J.: Forest types of the north Cascades National Park Service complex, Can. J. Bot., 65, 1520–1530, 1987. 
Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, B. Eng. Geol. Environ., 58, 21–44, 1999. 
Anagnostopoulos, G. G., Fatichi, S., and Burlando, P.: An advanced process-based distributed model for the investigation of rainfall-induced landslides: The effect of process representation and boundary conditions, Water Resour. Res., 51, 7501–7523, 2015. 
Ayalew, L., Yamagishi, H., and Ugawa, N.: Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan, Landslides, 1, 73–81, 2004. 
Baum, R. L., Galloway, D. L., and Harp, E. L.: Landslide and land subsidence hazards to pipelines, US Geological Survey Open-File Report 2008-1164, US Geological Survey, Reston, Virginia, 192 pp., 2008. 
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Short summary
Identifying landslide hazards is challenging but important for understanding risks to people and both built and natural resources. We use models to identify landslide hazards based on observed landslides and local site traits such as slope and on physical mechanisms such as soil moisture. Integrating both approaches improves hazard detection by accounting for processes not captured in the physically based model. Hazard maps are made for the North Cascades National Park Complex (Washington, USA).
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