Articles | Volume 18, issue 8
https://doi.org/10.5194/nhess-18-2295-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2295-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Combining temporal 3-D remote sensing data with spatial rockfall simulations for improved understanding of hazardous slopes within rail corridors
Megan van Veen
CORRESPONDING AUTHOR
Department of Geological Sciences and Geological Engineering, Queen's
University, Kingston, K7L 3N6, Canada
BGC Engineering Inc., Toronto, M5H 2W9, Canada
D. Jean Hutchinson
Department of Geological Sciences and Geological Engineering, Queen's
University, Kingston, K7L 3N6, Canada
David A. Bonneau
Department of Geological Sciences and Geological Engineering, Queen's
University, Kingston, K7L 3N6, Canada
Zac Sala
Department of Geological Sciences and Geological Engineering, Queen's
University, Kingston, K7L 3N6, Canada
Matthew Ondercin
Department of Geological Sciences and Geological Engineering, Queen's
University, Kingston, K7L 3N6, Canada
BGC Engineering Inc., Toronto, M5H 2W9, Canada
Matt Lato
Department of Geological Sciences and Geological Engineering, Queen's
University, Kingston, K7L 3N6, Canada
BGC Engineering Inc., Toronto, M5H 2W9, Canada
Viewed
Total article views: 2,807 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Nov 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,747 | 985 | 75 | 2,807 | 75 | 72 |
- HTML: 1,747
- PDF: 985
- XML: 75
- Total: 2,807
- BibTeX: 75
- EndNote: 72
Total article views: 2,139 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Aug 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,345 | 734 | 60 | 2,139 | 70 | 62 |
- HTML: 1,345
- PDF: 734
- XML: 60
- Total: 2,139
- BibTeX: 70
- EndNote: 62
Total article views: 668 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Nov 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
402 | 251 | 15 | 668 | 5 | 10 |
- HTML: 402
- PDF: 251
- XML: 15
- Total: 668
- BibTeX: 5
- EndNote: 10
Viewed (geographical distribution)
Total article views: 2,807 (including HTML, PDF, and XML)
Thereof 2,640 with geography defined
and 167 with unknown origin.
Total article views: 2,139 (including HTML, PDF, and XML)
Thereof 1,983 with geography defined
and 156 with unknown origin.
Total article views: 668 (including HTML, PDF, and XML)
Thereof 657 with geography defined
and 11 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
17 citations as recorded by crossref.
- Intelligent construction for the transportation infrastructure: a review Q. He et al. 10.1093/iti/liac007
- Definitions and Concepts for Quantitative Rockfall Hazard and Risk Analysis D. Hantz et al. 10.3390/geosciences11040158
- Dendrogeomorphological Reconstruction of Rockfall Activity in a Forest Stand, in the Cozia Massif (Southern Carpathians, Romania) A. Ovreiu et al. 10.3390/f15010122
- The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation J. Williams et al. 10.1029/2019JF005225
- Estimating rockfall and block volume scenarios based on a straightforward rockfall frequency model C. Moos et al. 10.1016/j.enggeo.2022.106828
- Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data S. Mirmazloumi et al. 10.3390/rs14153821
- Lidar-Derived Rockfall Inventory—An Analysis of the Geomorphic Evolution of Rock Slopes and Modifying the Rockfall Activity Index (RAI) S. Markus et al. 10.3390/rs15174223
- Assessment and Mechanism Analysis of Forest Protection against Rockfall in a Large Rock Avalanche Area K. Song et al. 10.3390/f14101982
- The collision experiment between rolling stones of different shapes and protective cushion in open-pit mines C. Zhu et al. 10.1007/s11629-020-6380-0
- The relevance of rock shape over mass—implications for rockfall hazard assessments A. Caviezel et al. 10.1038/s41467-021-25794-y
- Power law models for rockfall frequency-magnitude distributions: review and identification of factors that influence the scaling exponent A. Graber & P. Santi 10.1016/j.geomorph.2022.108463
- Estimating Rockfall and Block Volume Scenarios Based on a Straightforward Rockfall Frequency Model C. Moos et al. 10.2139/ssrn.4059824
- Integrated rockfall hazard and risk assessment along highways: An example for Jiuzhaigou area after the 2017 Ms 7.0 Jiuzhaigou earthquake, China X. Li et al. 10.1007/s11629-018-5355-x
- UAV-photogrammetry rockfall monitoring of natural slopes in Glenwood Canyon, CO, USA: background activity and post-wildfire impacts A. Graber & P. Santi 10.1007/s10346-022-01974-9
- Urban rail transit obstacle detection based on Improved R-CNN D. He et al. 10.1016/j.measurement.2022.111277
- Rockfall Analysis Based on UAV Technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey) M. UTLU et al. 10.30897/ijegeo.740963
- Evaluating the Impact of DEM Spatial Resolution on 3D Rockfall Simulation in GIS Environment M. Kakavas et al. 10.3390/geosciences14080200
17 citations as recorded by crossref.
- Intelligent construction for the transportation infrastructure: a review Q. He et al. 10.1093/iti/liac007
- Definitions and Concepts for Quantitative Rockfall Hazard and Risk Analysis D. Hantz et al. 10.3390/geosciences11040158
- Dendrogeomorphological Reconstruction of Rockfall Activity in a Forest Stand, in the Cozia Massif (Southern Carpathians, Romania) A. Ovreiu et al. 10.3390/f15010122
- The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation J. Williams et al. 10.1029/2019JF005225
- Estimating rockfall and block volume scenarios based on a straightforward rockfall frequency model C. Moos et al. 10.1016/j.enggeo.2022.106828
- Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data S. Mirmazloumi et al. 10.3390/rs14153821
- Lidar-Derived Rockfall Inventory—An Analysis of the Geomorphic Evolution of Rock Slopes and Modifying the Rockfall Activity Index (RAI) S. Markus et al. 10.3390/rs15174223
- Assessment and Mechanism Analysis of Forest Protection against Rockfall in a Large Rock Avalanche Area K. Song et al. 10.3390/f14101982
- The collision experiment between rolling stones of different shapes and protective cushion in open-pit mines C. Zhu et al. 10.1007/s11629-020-6380-0
- The relevance of rock shape over mass—implications for rockfall hazard assessments A. Caviezel et al. 10.1038/s41467-021-25794-y
- Power law models for rockfall frequency-magnitude distributions: review and identification of factors that influence the scaling exponent A. Graber & P. Santi 10.1016/j.geomorph.2022.108463
- Estimating Rockfall and Block Volume Scenarios Based on a Straightforward Rockfall Frequency Model C. Moos et al. 10.2139/ssrn.4059824
- Integrated rockfall hazard and risk assessment along highways: An example for Jiuzhaigou area after the 2017 Ms 7.0 Jiuzhaigou earthquake, China X. Li et al. 10.1007/s11629-018-5355-x
- UAV-photogrammetry rockfall monitoring of natural slopes in Glenwood Canyon, CO, USA: background activity and post-wildfire impacts A. Graber & P. Santi 10.1007/s10346-022-01974-9
- Urban rail transit obstacle detection based on Improved R-CNN D. He et al. 10.1016/j.measurement.2022.111277
- Rockfall Analysis Based on UAV Technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey) M. UTLU et al. 10.30897/ijegeo.740963
- Evaluating the Impact of DEM Spatial Resolution on 3D Rockfall Simulation in GIS Environment M. Kakavas et al. 10.3390/geosciences14080200
Latest update: 19 Nov 2024
Short summary
Rockfalls present a hazard to railways in mountainous terrain. 3-D remote monitoring data can be used to identify events that occurred between data collections. Using a case study from British Columbia, we present a method combining 3-D rockfall event data with spatial rockfall simulations to provide a refined estimate of the frequency of rockfalls presenting a direct hazard to passing trains and railway infrastructure, which is often less than the total number of rockfalls that occurred.
Rockfalls present a hazard to railways in mountainous terrain. 3-D remote monitoring data can be...
Altmetrics
Final-revised paper
Preprint