Rockfall susceptibility zoning based on back analysis of rockfall deposit inventory in Gunung Kelir, Java

Samodra, Guruh; Chen, Guangqi; Sartohadi, Junun; Hadmoko, Danang Sri; Kasama, Kiyonobu; Setiawan, Muhammad Anggri

doi:10.1007/s10346-016-0713-7

Cited by 18 publications

(15 citation statements)

References 14 publications

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“…Additionally, the results of this study are in line with other landslide research in the west of Yogyakarta (Priyono et al 2011;Samodra et al 2016). They also found that the level of landslide occurrence was high on the middle slopes.…”

Section: Discussionsupporting

confidence: 80%

“…Priyono, et al (2011) found that the high level of landslide vulnerability was characterised as middle to upper slope area with steep to very steep slopes (>60%), which displayed a high level of weathering and erosion. These results were also corroborated by the trajectory analysis of rock falls data inventory conducted by Samodra et al (2016). They found that the most of potentially rock falls were triggered from the middle slope.…”

Section: Discussionsupporting

confidence: 74%

“…They found that the most of potentially rock falls were triggered from the middle slope. Moreover, the middle slope also produced the most dangerous rock falls for homes located nearby, because it generateed some of the highest velocity of rock falls (Samodra, et al, 2016) The CLSL result provideed important information in coseismic landslide susceptibility zoning. The unavailability of coseismic landslide, landslide data and the difficulties to investigate the coseismic source directly were the main problems in this study area.…”

Section: Discussionmentioning

confidence: 97%

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Coseismic landslide susceptibility assessment using geographic information system

Saputra

Gomez

Hadmoko

et al. 2016

Geoenviron Disasters

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Background: Indonesia is one of the most earthquake prone countries in the world. More than 14,000 earthquakes of magnitude greater than 5 occurred in Indonesia between 1897 and 2009. Earthquakes are a major cause of slope instability eventually triggering coseismic landslides, which cost 1.5 million US$/ year in Java: one of the most densely islands in Indonesia. This paper aims to assess coseismic landslide susceptibility using Geographic Information System (GIS) on the western flank of Baturagung Escarpment, 8 km southeast of the Yogyakarta City, a data sparse area. Therefore, we have used a probabilistic seismic hazard analysis to calculate the peak ground accelerations, while the coseismic landslide susceptibility analysis was done by the scoring method in the GIS adopted from Mora and Vahrson model (Costa Rica), which is well adopted for data sparse areas. Conclusions: Based on the mapped landslide occurrence, the landslides tend to occur in the zone of moderate CLSL and they are distributed along the border between moderate and low coseismic landslide zone, meaning that the change on local condition could be playing an important role in triggering coseismic landslide.

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Section: Discussionsupporting

confidence: 80%

Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 97%

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Coseismic landslide susceptibility assessment using geographic information system

Saputra

Gomez

Hadmoko

et al. 2016

Geoenviron Disasters

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“…Rock falls represent special landslide hazards since their rapid movements and various trajectories make it difficult to predict their hazard potential (Costa & Agliardi 2003). Several methods have been suggested to assess cliff stability from physical prediction rock fall hazard index (Crosta & Agliardi 2003) via Rockfall Hazard Rating System (Budetta 2004) and to modelling of their trajectories (Crosta & Agliardi 2002, Abbruzzese et al 2009, Copons et al 2009, Samodra et al 2016. 10…”

mentioning

confidence: 99%

“…Most of rock fall hazard publications deal with hard, well cemented rocks such as limestone (Samodra et al 2016) or various other types of sedimentary rocks (Michoud et al 2012) igneous or metamorphic rocks. In contrast, very few previous studies 20 deal with cliff face stability and rock fall hazard of low strength rock such as volcanic tuffs (Fanti et al 2012, Margottini et al 2015.…”

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confidence: 99%

Slope stability and rock fall hazard assessment of volcanic tuffs using RPAS and TLS with 2D FEM slope modelling

Török¹,

Barsi²,

Bögöly³

et al. 2017

Preprint

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Abstract. Low strength rhyolite tuff forms steep cliffs in NE Hungary. A multi-dimensional approach including field analysis and laboratory tests was conducted to understand the mechanical properties of the tuff and to measure discontinuity 10 surfaces. With the help of RPAS (Remotely Piloted Aircraft System) and TLS (Terrestrial Laser Scanning), a digital terrain model (DTM) was generated, and the results of these surveys were compared. Cross sections and joint system data were obtained from DTM and used as input parameters for the slope stability analyses. The rocky slope was modelled by 2D FEM (Finite Element Method) software and potential hazards such as planar failure, wedge failure and toppling were identified.The paper demonstrates the usefulness of combined field analyses, geomechanical laboratory testing and various remote 15 sensing techniques (such as RPAS and TLS) in rock face stability calculations and failure mode analysis.

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Rockfall susceptibility analysis of the “San Michele Arcangelo” historic trail (Central Italy) based on virtual outcrops and multiple propagation models

Guerriero,

Annibali Corona,

Di Martire

et al. 2024

Bull Eng Geol Environ

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The “San Michele Arcangelo” historic trail (Aurunci Regional Park, central Italy), located along the southern slope of Mt. Altino, which is highly prone to rockfalls, is hiked every year by thousands of faithful on pilgrimage who are exposed to such kinds of instabilities. To contribute to a better understanding of the condition and evolution of such phenomena, providing a susceptibility scenario able to support the adoption of mitigation measures, a specific analysis was completed based on field and literature data. Three-dimensional virtual outcrop models were obtained through both photogrammetric and iPad Pro LiDAR surveys to derive geomechanical features of outcropping rocks and estimate potential detaching block volume. Possible mechanisms of detachment were then analyzed using the Markland test method. Susceptibility to rockfall propagation and block deposition was analyzed using GIS processing and rockfall propagation simulations based on deterministic/stochastic models. Such models consist of a combination of a deterministic algorithm able to simulate the physics of rockfall movement during propagation and a stochastic treatment of input parameters based on random sampling within defined interval. Two different rockfall simulations were compared in this study using the Rockyfor3D™ (ecorisQ Association) software and the newly developed RocFall3© (RocScience) code. The use of iPad Pro LiDAR survey provides accurate and high-resolution point clouds, with high speed of acquisition and real-time processing of data. Discontinuity sets identified from 3D models have represented the input for kinematic analyses of slopes, allowing to identify potential failure mechanisms among wedge and planar sliding or toppling. Rockfall simulations indicate the potential for rock blocks propagation and deposition over the whole study area. Comparing the results of rockfall simulations with the geomorphological map of the area it is evident the control exerted by the hydrographic network on rockfall propagation as demonstrated by the presence of screes and slope deposits along the main channels. Understanding the potential susceptibility to both propagation and deposition of rock blocks along the trail provides useful indication for the assessment of appropriate mitigation measures to realize for the safer touristic fruition of the site.

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Rockfall susceptibility zoning based on back analysis of rockfall deposit inventory in Gunung Kelir, Java

Cited by 18 publications

References 14 publications

Coseismic landslide susceptibility assessment using geographic information system

Coseismic landslide susceptibility assessment using geographic information system

Slope stability and rock fall hazard assessment of volcanic tuffs using RPAS and TLS with 2D FEM slope modelling

Rockfall susceptibility analysis of the “San Michele Arcangelo” historic trail (Central Italy) based on virtual outcrops and multiple propagation models

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