Definitions and concepts for quantitative rockfall hazard and risk analysis

D Hantz, J Corominas, GB Crosta, M Jaboyedoff - Geosciences, 2021 - mdpi.com
There is an increasing need for quantitative rockfall hazard and risk assessment that
requires a precise definition of the terms and concepts used for this particular type of …

Power law models for rockfall frequency-magnitude distributions: review and identification of factors that influence the scaling exponent

A Graber, P Santi - Geomorphology, 2022 - Elsevier
Power laws fit to rockfall frequency-magnitude distributions are commonly used to
summarize rockfall inventories, but uncertainty remains regarding which variables control …

UAV-photogrammetry rockfall monitoring of natural slopes in Glenwood Canyon, CO, USA: Background activity and post-wildfire impacts

A Graber, P Santi - Landslides, 2023 - Springer
Rockfall is a common hazard along US Interstate Highway 70 in Glenwood Canyon,
Colorado. While natural rock slopes source a substantial number of rockfalls, there remains …

The importance of monitoring interval for rockfall magnitude‐frequency estimation

JG Williams, NJ Rosser, RJ Hardy… - Journal of Geophysical …, 2019 - Wiley Online Library
Rockfalls commonly exhibit power law volume‐frequency distributions, where fewer large
events are observed relative to more numerous small events. Within most inventories, the …

Urban rail transit obstacle detection based on Improved R-CNN

D He, R Ren, K Li, Z Zou, R Ma, Y Qin, W Yang - Measurement, 2022 - Elsevier
Excellent active obstacle detection capability is critical to operate fully automatic trains safely
and reliably. There are some problems exist in the traditional sensor-based obstacle …

The collision experiment between rolling stones of different shapes and protective cushion in open-pit mines

C Zhu, M He, M Karakus, X Zhang, Z Guo - Journal of Mountain Science, 2021 - Springer
Though gravel cushions are used worldwide in open-pit mines and railway slopes to control
the impact of rolling stones, no universal technical standards have been put in place to …

Supervised machine learning algorithms for ground motion time series classification from InSAR data

SM Mirmazloumi, AF Gambin, R Palamà, M Crosetto… - Remote Sensing, 2022 - mdpi.com
The increasing availability of Synthetic Aperture Radar (SAR) images facilitates the
generation of rich Differential Interferometric SAR (DInSAR) data. Temporal analysis of …

[HTML][HTML] Estimating rockfall and block volume scenarios based on a straightforward rockfall frequency model

C Moos, Z Bontognali, L Dorren, M Jaboyedoff… - Engineering …, 2022 - Elsevier
Rockfall causes a large number of accidents and fatalities in steep environments. A realistic
quantification of rockfall risk is thus crucial for an effective prevention of damages and loss of …

The relevance of rock shape over mass—implications for rockfall hazard assessments

A Caviezel, A Ringenbach, SE Demmel… - Nature …, 2021 - nature.com
The mitigation of rapid mass movements involves a subtle interplay between field surveys,
numerical modelling, and experience. Hazard engineers rely on a combination of best …

Integrated rockfall hazard and risk assessment along highways: An example for Jiuzhaigou area after the 2017 Ms 7.0 Jiuzhaigou earthquake, China

X Li, S Ling, C Sun, J Xu, T Huang - Journal of Mountain Science, 2019 - Springer
This work addresses the integrated assessment of rockfall (including landslides) hazards
and risk for S301, Z120, and Z128 highways, which are important transportation corridors to …