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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (19 Aug 2019) by Albert J. Kettner
AR by Svenja Lange on behalf of the Authors (18 Sep 2019)  Author's response
ED: Publish subject to technical corrections (25 Sep 2019) by Albert J. Kettner

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Ronda Strauch on behalf of the Authors (05 Nov 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (05 Nov 2019) by Albert J. Kettner
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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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