Probabilistic Modeling of Landslide Hazards To Improve the Resilience of Transportation Infrastructure [Research Brief]

Nelson, Peter A; Neimann, Jeffrey; Byron, Elizabeth

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Probabilistic Modeling of Landslide Hazards To Improve the Resilience of Transportation Infrastructure [Research Brief]

2023-07-01
By Nelson, Peter A ; Neimann, Jeffrey ; Byron, Elizabeth

File Language:

English

Details

Creators:

Nelson, Peter A ; Neimann, Jeffrey ; Byron, Elizabeth
Corporate Creators:

Colorado State University ; Mountain-Plains Consortium
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Debris Flows Disaster Resilience Floods Forecasting Highways Landslides Mapping Monte Carlo Method Probability
Publication/ Report Number:

MPC 23-500 (project 593) | July 2023
Resource Type:

Brief
Geographical Coverage:

Colorado ; United States
Edition:

Research Brief
Corporate Publisher:

Mountain-Plains Consortium
Abstract:

Prediction of landslides and their potential impacts on infrastructure is a challenging problem due to variability and uncertainty in hydroclimatic variables and soil and hillslope properties. This research aims to quantify this uncertainty by developing a probabilistic model for landsliding and applying it to current and future climate scenarios.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:6b27ace4f0a198c70e797ae424d76522ab0369e283be50144ab035c3ea19d5f037fbff31910ac1b8feb467d8dc09adbdedf60f174fd4c1e55078db1fc7710368
Download URL:

https://rosap.ntl.bts.gov/view/dot/72895/dot_72895_DS1.pdf
File Type:

[PDF - 1.55 MB ]

File Language:

English

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