Effect of Forest Presence on Rockfall Trajectory. An Example from Greece

Saroglou, Charalampos; Berger, Frédéric; Bourrier, Franck; Asteriou, Pavlos; Tsiambaos, G.; Tsagkas, Dimitrios

doi:10.1007/978-3-319-09057-3_337

Cited by 6 publications

(6 citation statements)

References 2 publications

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“…At the Taesch (CH) study site, all deposited blocks of the rockfall event of August 2013 were mapped. At the Claro (CH), Flaesch (CH), Orvin (CH, c.f., Moos et al, 2018), Schmitten (CH) and Tithorea in Greece (GR) (, c.f., Saroglou et al, 2015) study sites, we mapped all de-posited rockfall blocks of multiple recent rockfall events. At six other study sites, we mapped selected freshly deposited blocks which had either a large V ol in comparison to surrounding blocks or a longer runout distance compared to the majority of the Dorren et al, 2005b).…”

Section: Study Sites and Mapping Of Swmentioning

confidence: 99%

Delimiting rockfall runout zones using reach probability values simulated with a Monte-Carlo based 3D trajectory model

Dorren

Berger

Bourrier

et al. 2022

Preprint

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Abstract. At present, a quantitative basis for delimiting realistic rockfall runout zones on the basis of trajectory simulation data is generally missing. The objective of this study is to come up with standardized reach probability threshold values (RPTV) to separate "realistic" from "unrealistic" simulated rockfall runouts. We therefore compared reach probability values (Preach) simulated with Rockyfor3D for 458 mapped, fresh rockfall blocks (silent witnesses SW) on 18 different sites with a volume >= 0.05 m3 and estimated occurrence frequencies up to 300 years. We analysed which block, slope and forest characteristics influenced Preach of the SW based on a linear mixed effects model. The results indicate that the limit of a realistic runout zone lies in the range where simulated Preach values are between > 1 % and approximately 3 %. We conclude that RPTV can be defined to values lying in the range from 1.2 % to 2.5 % depending on the defined block volume and the encountered cumulative basal area in a forested transit zone. Where possible, the defined RPTV should be compared and validated by field recordings of SW.

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Section: Study Sites and Mapping Of Swmentioning

confidence: 99%

Delimiting rockfall runout zones using reach probability values simulated with a Monte-Carlo based 3D trajectory model

Dorren

Berger

Bourrier

et al. 2022

Preprint

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“…The most known and studied events, which have occurred along highways and other roads, are those of Tempi highway (shown in Figure 5b Sites of high risk in inhabited areas need to be identified in order to minimize rockfall risk. Additionally, there are a large number of rockfall incidents, which have occurred in archaeological Recent events that affected inhabited areas are those in Eptachori in 1994 (site 17), in Skyros in 2001 [44], Santomeri in 2008 (Koukouvelas et al, 2015 [45]), and Tithorea in 2010 (Saroglou et al, 2015) [46], Plomari in 2018 and Alyki village in 2019. Finally, a house was impacted by a rockfall during a M w 6.4 earthquake in Lefkada in 2015, resulting in one casualty (Saroglou et al, 2018 [30]).…”

Section: Impact Of Rockfalls In Greecementioning

confidence: 99%

“…Nikitas in Lefkada island during the earthquakes in 2003 and 2015 (Figure 5b). Impact of main rockfall events: (a) on local road network in Lefkada during 2003 earthquake (site 3) (b) on National Highway in Tempi valley in 2009 (site 11), (c) in Alyki village in 2019 (site 43), (d) in Monemvasia archaeological site (site 19).Recent events that affected inhabited areas are those in Eptachori in 1994 (site 17), in Skyros in 2001 [44], Santomeri in 2008(Koukouvelas et al, 2015 [45]), and Tithorea in 2010(Saroglou et al, 2015) [46], Plomari in 2018 and Alyki village in 2019. Finally, a house was impacted by a rockfall during a Mw 6.4 earthquake in Lefkada in 2015, resulting in one casualty (Saroglou et al, 2018[30]).…”

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confidence: 99%

GIS-Based Rockfall Susceptibility Zoning in Greece

Saroglou

2019

Geosciences

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The assessment of rockfall risks on human activities and infrastructure is of great importance. Rock falls pose a significant risk to (a) transportation infrastructure, (b) inhabited areas, and (c) Cultural Heritage sites. The paper presents a method to assess rockfall susceptibility at national scale in Greece, using a simple rating approach and Geographic Information Systems (GIS) techniques. An extensive inventory of rockfalls for the entire country was compiled for the period between 1935 and 2019. The rockfall events that were recorded are those which have mainly occurred as distinct rockfall episodes in natural slopes and have impacted human activities, such as roads, inhabited areas, and archaeological sites. Through a detailed analysis of the recorded data, it was possible to define the factors which determine the occurrence of rockfalls. Based on this analysis, the susceptibility zoning against rockfalls at the national scale was prepared, using a simple rating approach and GIS techniques. The rockfall susceptibility zoning takes into account the following parameters: (a) the slope gradient, (b) the lithology, (c) the annual rainfall intensity, (d) the earthquake intensity, and (e) the active fault presence. Emphasis was given on the study of the earthquake effect as a triggering mechanism of rockfalls. Finally, the temporal and spatial frequency of the recorded events and the impact of rockfalls on infrastructure assets and human activities in Greece were evaluated.

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“…in Skyros in 2001 , Santomeri in 2008 and Tithorea in 2010 (Saroglou et. al., 2015), Plomari in 2018 and Alyki village in 2019..…”

Section: Impact Of Rockfalls In Greecementioning

confidence: 99%

GIS-Based Rockfall Susceptibility Zoning in Greece

Saroglou¹

2019

Preprint

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The assessment of rockfall risks on human activities and infrastructure is of great importance. Rock falls pose a significant risk to a) transportation infrastructure b) inhabited areas and c) Cultural Heritage sites. The paper presents a method to assess rockfall susceptibility at national scale in Greece, using a simple rating approach and GIS techniques. An extensive inventory of rockfalls for the entire country was compiled for the period between 1935 and 2019. The rockfall events that were recorded are those, which have mainly occurred as distinct rockfall episodes in natural slopes and have impacted human activities, such as roads, inhabited areas and archaeological sites. Through a detailed analysis of the recorded data, it was possible to define the factors which determine the occurrence of rockfalls. Based on this analysis, the susceptibility zoning against rockfalls at national scale was prepared, using a simple rating approach and GIS techniques. The rockfall susceptibility zoning takes into account the following parameters: (a) the slope gradient, (b) the lithology, (c) the annual rainfall intensity, (d) the earthquake intensity and (e) the active fault presence. Emphasis was given on the study of the earthquake effect as a triggering mechanism of rockfalls. Finally, the temporal and spatial frequency of the recorded events and the impact of rockfalls on infrastructure assets and human activities in Greece were evaluated.

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Effect of Forest Presence on Rockfall Trajectory. An Example from Greece

Cited by 6 publications

References 2 publications

Delimiting rockfall runout zones using reach probability values simulated with a Monte-Carlo based 3D trajectory model

Delimiting rockfall runout zones using reach probability values simulated with a Monte-Carlo based 3D trajectory model

GIS-Based Rockfall Susceptibility Zoning in Greece

GIS-Based Rockfall Susceptibility Zoning in Greece

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