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Renato Macciotta
Renato Macciotta
Civil and Environmental Engineering, University of Alberta
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
Developing an Early Warning System for a Very Slow Landslide Based on Displacement Monitoring
R Macciotta, M Hendry, CD Martin
Natural Hazards, 2015
872015
Universal confined tensile strength of intact rock
H Lan, J Chen, R Macciotta
Scientific Reports, 9, 2019
782019
Quantitative Risk Assessment of Slope Hazards along a Section of Railway in the Canadian Cordillera - A Methodology Considering the Uncertainty in the Results
R Macciotta, CD Martin, R Morgenstern, Norbert, M Cruden, David
Landslides, 2015
712015
UAVs for monitoring, investigation and mitigation design of a rock slope with multiple failure mechanisms – a case study
J Rodriguez, R Macciotta, M Hendry, C Gräpel, R Skirrow
Landslides, 2020
572020
Application of multi-dimensional electrical resistivity tomography datasets to investigate a very slow-moving landslide near Ashcroft, British Columbia, Canada
D Huntley, P Bobrowsky, M Hendry, R Macciotta, D Elwood, K Sattler, ...
Landslides, 2019
542019
Measuring displacements of the Thompson River valley landslides, south of Ashcroft, BC, Canada, using satellite InSAR
J Journault, R Macciotta, M Hendry, F Charbonneau, P Bobrowsky, ...
Landslides, 2017
532017
Probabilistic estimation of rockfall height and kinetic energy based on a three-dimensional trajectory model and Monte Carlo simulation
R Macciotta, CD Martin, DM Cruden
Landslides, 757-772, 2015
532015
Effect of Thompson River elevation on velocity and instability of Ripley Slide
MT Hendry, R Macciotta, MC Derek, B Reich
Canadian Geotechnical Journal, 2014
492014
Displacement of a landslide retaining wall and application of an enhanced failure forecasting approach
T Carlà, R Macciotta, M Hendry, CD Martin, T Edwards, T Evans, E Intrieri, ...
Landslides, 2017
422017
Anisotropy rather than transverse isotropy in Longmaxi shale and the potential role of tectonic stress
J Chen, H Lan, R Macciotta, Y Wu, Q Li, X Zhao
Engineering geology 247, 38-47, 2018
412018
Quantifying Weather Conditions for Rock Fall Hazard Management
R Macciotta, CD Martin, T Edwards, DM Cruden, T Keegan
Georisk: Assessment and Management of Risk for Engineered Systems and …, 2015
402015
Application of Bayesian network and artificial intelligence to reduce accident/incident rates in oil & gas companies
F Sattari, R Macciotta, D Kurian, L Lefsrud
Safety Science 133, 2020
382020
Quantifying rock fall probabilities and their temporal distribution associated with weather seasonality
R Macciotta, M Hendry, D Cruden, A Blais-Stevens, T Edwards
Landslides, 15, 2017
372017
Multi-technique Geophysical Investigation of a Very Slow-moving Landslide Near Ashcroft, British Columbia, Canada
D Huntley, P Bobrowsky, M Hendry, R Macciotta, M Best
Journal of Environmental and Engineering Geophysics 24 (1), 87-110, 2019
332019
The role of discontinuities in the susceptibility, development, and runout of rock avalanches: a review
H Lan, Y Zhang, R Macciotta, L Li, Y Wu, H Bao, J Peng
Landslides 19 (6), 1391-1404, 2022
312022
Quantitative relationship between weather seasonality and rock fall occurrences north of Hope, BC, Canada
C Pratt, R Macciotta, M Hendry
Bulletin of Engineering Geology and the Environment, 13, 2018
302018
Development and application of a quantitative risk assessment to a very slow moving rock slope and potential sudden acceleration
R Macciotta, CD Martin, NR Morgenstern, DM Cruden
Landslides, 2015
302015
Remote sensing applications for landslide monitoring and investigation in Western Canada
R Macciotta, MT Hendry
Remote Sensing 13 (3), 366, 2021
292021
Practical evaluation of single‐frequency dGNSS for monitoring slow‐moving landslides
J Rodriguez, E Dean, M Hendry, R Macciotta, T Evans, C Gräpel, ...
Landslides, 2021
282021
Analysis of train derailments and collisions to identify leading causes of loss incidents in rail transport of dangerous goods in Canada
H Ebrahimi, F Sattari, L Lefsrud, R Macciotta
Journal of loss prevention in the process industries 72, 104517, 2021
282021
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