Development of Calibrated Two-Dimensional Runout Maps at a Columnar Jointed Basalt Rockfall-Prone Site

ABSTRACT: Whitney Terrace, located in southeastern Boise, ID, has experienced rockfall from a columnar jointed basalt cliff. This study presents the procedure used to produce two-dimensional calibrated runout maps. Models were calibrated using the runout distances of 75 existing rockfall boulders. Lumped Mass calibrations yielded simulation results that matched the mean runout distances observed at the site, but did not provide the proper distribution. Rigid Body calibration also matched mean runout distances, but there was no differential in runout between boulder size groups. Rigid Body calibration with forest damping zones produced the most realistic calibrations. The models were considered calibrated when the location of the calibrated boulder was within one-half the standard deviation of the mean runout distance of the furthest group of simulated rocks. Depending on the slope profile, final normal and tangential restitution coefficients varied between 0.4 and 0.55, and 0.72 and 0.98, respectively. The runout maps showed that 50- and 100-kg rocks experienced less runout because of vegetation. It is theorized that steeper slopes and block movement may limit the beneficial effects of vegetation in stopping falling rocks. Larger rocks, 800 and 1500 kg, could be a hazard to the existing subdivision on Whitney Terrace.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.56952/arma-2025-0607
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Calibrated Two-Dimensional Runout Maps at a Columnar Jointed Basalt Rockfall-Prone Site

Bhaskar Chittoori, Mary MacLaughlin, Nick Hudyma, Olivia Tabor et al.
1 citations
Landslides and related hazards
2.42
article

Development of Calibrated Two-Dimensional Runout Maps at a Columnar Jointed Basalt Rockfall-Prone Site

Bhaskar Chittoori, Mary MacLaughlin, Nick Hudyma, Olivia Tabor, Lucas Jason Arsenith, Grant Goertzen
article en
1 citations

Abstract

ABSTRACT: Whitney Terrace, located in southeastern Boise, ID, has experienced rockfall from a columnar jointed basalt cliff. This study presents the procedure used to produce two-dimensional calibrated runout maps. Models were calibrated using the runout distances of 75 existing rockfall boulders. Lumped Mass calibrations yielded simulation results that matched the mean runout distances observed at the site, but did not provide the proper distribution. Rigid Body calibration also matched mean runout distances, but there was no differential in runout between boulder size groups. Rigid Body calibration with forest damping zones produced the most realistic calibrations. The models were considered calibrated when the location of the calibrated boulder was within one-half the standard deviation of the mean runout distance of the furthest group of simulated rocks. Depending on the slope profile, final normal and tangential restitution coefficients varied between 0.4 and 0.55, and 0.72 and 0.98, respectively. The runout maps showed that 50- and 100-kg rocks experienced less runout because of vegetation. It is theorized that steeper slopes and block movement may limit the beneficial effects of vegetation in stopping falling rocks. Larger rocks, 800 and 1500 kg, could be a hazard to the existing subdivision on Whitney Terrace.

Boise State University (US), Montana Technological University (US)
Openalex Percentile: Top 10%
Landslides and related hazards
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.