A RAI of Data: Generalizing the Data-driven Rockfall Activity Index (RAI) based on Long-term Observations of Well Characterized Slopes (doi:10.7910/DVN/DAUYRL)

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A RAI of Data: Generalizing the Data-driven Rockfall Activity Index (RAI) based on Long-term Observations of Well Characterized Slopes

doi:10.7910/DVN/DAUYRL

Harvard Dataverse

2023-12-07

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Darrow, Margaret; Olsen, Michael; Wartman, Joseph; Leshchinsky, Ben, 2023, "A RAI of Data: Generalizing the Data-driven Rockfall Activity Index (RAI) based on Long-term Observations of Well Characterized Slopes", https://doi.org/10.7910/DVN/DAUYRL, Harvard Dataverse, V1

A RAI of Data: Generalizing the Data-driven Rockfall Activity Index (RAI) based on Long-term Observations of Well Characterized Slopes

doi:10.7910/DVN/DAUYRL

Darrow, Margaret (University of Alaska)

Olsen, Michael (Oregon State University)

Wartman, Joseph (University of Washington)

Leshchinsky, Ben (Oregon State University)

Harvard Dataverse

Yarbrough, Christina

2023-12-05

https://doi.org/10.7910/DVN/DAUYRL

Earth and Environmental Sciences, Engineering, Rock slope, rockfall, geology, Schmidt hammer

In prior PacTrans research, the research team developed the Rockfall Activity Index system (RAI), a point cloud-derived, high-resolution, morphology-based approach for identifying, assessing, and mapping rockfall hazards at a high resolution across the entire surface of a rock slope. Through continued monitoring at sites in both Alaska and Oregon, it is evident that rockfall activity is variable as a function of geology and rock properties. In this research, we used geologic characterization, analysis of change from lidar differencing, and collection of 4,800 Schmidt Hammer measurements to constrain relationships between geologic structure and rockfall activity at a variety of rock slopes. Generally, lower Schmidt Hammer rebound measurements were observed in areas with higher activity rates, suggesting rebound (especially when corrected per ASTM standards) may be an effective proxy for rockfall activity or susceptibility; however, the large variability in these measurements, particularly between sites, suggests that these measurements are best applied on a site-specific basis. Additionally, we computed rockfall volumes to analyze mobility impacts using an empirical relationship derived from the Rockfall Impacts to Mobility (RIM) database, demonstrating the importance of linking rockfall activity and hazard. Future work could look at expanding databases of rockfall impacts to mobility, collect more Schmidt hammer measurements, collect more epochs of rock slope digital terrain models, and further connect rock slope weathering and structure to the RAI analysis.

http://hdl.handle.net/1773/51001 This dataset was used in the creation of two reports. These reports are “Hammer Time: Using the Schmidt Hammer to Improve the Forecasting Accuracy of the Rockfall Activity Index (RAI (http://hdl.handle.net/1773/50996) and “A RAI of Data: Generalizing the Data-Driven Rockfall Activity Index (RAI) Based on Long-Term Observations of Well Characterized Slopes” While the data is the same, you can find an alternate copy of this data at https://doi.org/10.7910/DVN/OPGAKQ

• Darrow, M. M., Herrman, D. M., Olsen, M. J., Leshchinsky, B.A., Berrett, B., Presler, P., Peethambaran, B., Wartman, J. (2022). “Generalizing the Rockfall Activity Index (RAI) for well-characterized slopes.” 2022 Region 10 Transportation Conference, Oct. 14, 2022, poster. • Herrman, D. M. and Darrow, M. M. (Under Review). Hammer Time: Using the Schmidt Hammer to Improve the Rockfall Activity Index (RAI) Forecasting Accuracy: PacTrans, Seattle, WA. • Herrman, D., Darrow, M., Olsen, M., Wartman, J., Leshchinsky, B. (2022). “Analysis of the long-term effects of construction on rockfall along the Parks Highway, Alaska.” AEG 65th Annual Meeting, poster. • Markus, S. J., Wartman, J., Olsen, M., Darrow, M. M. (Under Review). “Lidar-derived rockfall inventory – an analysis of geomorphic evolution of rock slopes and modifying the Rockfall Activity Index (RAI).” Remote Sensing. • Olsen, M. J., Massey, C., Holtan, K., Wartman, J., Leshchinsky, B., Darrow, M., Senogles, A. (2022). "Application of the rockfall activity rate system (RoARs)." EUROCK 2022 Helsinki, 12-15 September 2022

• Darrow, M. M., Herrman, D. M., Olsen, M. J., Leshchinsky, B.A., Berrett, B., Presler, P., Peethambaran, B., Wartman, J. (2022). “Generalizing the Rockfall Activity Index (RAI) for well-characterized slopes.” 2022 Region 10 Transportation Conference, Oct. 14, 2022, poster. • Herrman, D. M. and Darrow, M. M. (Under Review). Hammer Time: Using the Schmidt Hammer to Improve the Rockfall Activity Index (RAI) Forecasting Accuracy: PacTrans, Seattle, WA. • Herrman, D., Darrow, M., Olsen, M., Wartman, J., Leshchinsky, B. (2022). “Analysis of the long-term effects of construction on rockfall along the Parks Highway, Alaska.” AEG 65th Annual Meeting, poster. • Markus, S. J., Wartman, J., Olsen, M., Darrow, M. M. (Under Review). “Lidar-derived rockfall inventory – an analysis of geomorphic evolution of rock slopes and modifying the Rockfall Activity Index (RAI).” Remote Sensing. • Olsen, M. J., Massey, C., Holtan, K., Wartman, J., Leshchinsky, B., Darrow, M., Senogles, A. (2022). "Application of the rockfall activity rate system (RoARs)." EUROCK 2022 Helsinki, 12-15 September 2022

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2022_PacTrans_AK_SH.xlsx

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2022_PacTrans_OR_SH.xlsx

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