The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes

Wichmann, Volker

doi:10.5194/gmd-10-3309-2017

Cited by 28 publications

(42 citation statements)

References 31 publications

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“…The highest slope inclinations can be found on PF with 36.0 • and its basaltic lava material. Yamamoto et al (2005) conclude that basaltic material cannot be deposited on slopes of more than 33 • . However, the higher average slope inclination at PF compared to the findings of Yamamoto et al (2005) can be explained by the rock surface conditions, which also play an important role, since fresh volcanic rocks in particular are characterized by a high micro-roughness, especially where the lava could cool very quickly.…”

Section: Pfmentioning

confidence: 84%

Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion

Wegner

Haas

Heckmann

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. In four study areas within different lithological settings and rockfall activity, lidar data were applied for a morphometric analysis of block sizes, block shapes and talus cone characteristics. This information was used to investigate the dependencies between block size, block shape and lithology on the one hand and runout distances on the other hand. In our study, we were able to show that lithology seems to have an influence on block size and shape and that gravitational sorting did not occur on all of the studied debris cones but that other parameters apparently control the runout length of boulders. Such a parameter seems to be the block shape, as it plays the role of a moderating parameter in two of the four study sites, while we could not confirm this for our other study sites. We also investigated the influence of terrain parameters such as slope inclination, profile curvature and roughness. The derived roughness values show a clear difference between the four study sites and seem to be a good proxy for block size distribution on the talus cones and thus could be used in further studies to analyse a larger sample of block size distribution on talus cones with different lithologies.

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Section: Pfmentioning

confidence: 84%

Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion

Wegner

Haas

Heckmann

et al. 2021

Nat. Hazards Earth Syst. Sci.

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show abstract

“…Several different groups of models can be found in literature distinguishing on the basis of the simplifications made. For example, many rockfall and hydrological tools [62][63][64] implement the estimation of the steepest descent paths [65]. This method is based on the concept that rock blocks behave as surface water following the steepest descent down a slope [43].…”

Section: Large Scalementioning

confidence: 99%

Evaluating Rockfall Risk: Some Critical Aspects

et al. 2020

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Rockfalls evolve rapidly and unpredictably in mountain environments and can cause considerable losses to human societies, structures, economical activities, and also natural and historical heritage. Rockfall risk analyses are complex and multi-scale processes involving several disciplines and techniques. This complexity is due to the main features of rockfall phenomena, which are extremely variable over space and time. Today, a considerable number of methods exists for protecting land, as well as assessing and managing the risk level. These methodologies are often very different from each other, depending on the data required, the purposes of the analysis, and the reference scale adopted, i.e., the analysis level of detail. Nevertheless, several questions still remain open with reference to each phase of the hazard and risk process. This paper is devoted to a general overview of existing risk estimation methodologies and a critical analysis of some open questions with the aim of highlighting possible further research topics. A typical risk assessment framework is exemplified by analyzing a real case study. Each step of the process is treated at both the detailed and the large scale in order to highlight the main characteristics of each level of detail.

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“…After fitting the most used probability distributions to the binned data, we found that the best performing equation is a double-exponential equation fitting the empirical landslide data very well (Figure 7). Runout analysis has been performed by the Gravitational Process Path (GPP) model (Wichmann 2017) that estimates process paths and runout area for a given landslide event based on DEM and calibration data.…”

Section: Hazard Mappingmentioning

confidence: 99%

Development of an early warning system for shallow landslide hazard in the Grasberg area, Indonesia

Farina¹,

Catani²,

Rosi³

et al. 2020

Proceedings of the 2020 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering

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In the middle of the 20th century, one of the largest open pit mining facilities in the world was established at Grasberg on top of the main Papuan ridge. In time, this expanded to become the most notable man-made landscape feature on the entire island. Mining operations are supported by a large array of workshops and facilities, scattered from the top of the mountain down to the seashore. They include large camps and mining villages hosting the workforce and their families.In this work, we present the results of a project to help mining company staff define triggers for an early warning system (EWS) for shallow landslides using meteorological forecasts and rain gauge measurements. This would help to mitigate the risk for the Grasberg mine and surrounding valleys of sudden detachment, routing and runout of shallow landslides.To achieve such a scope, the work has been split into three main tasks: Definition of rainfall thresholds for the initiation of shallow landslides in the broader Grasberg area based on cumulative rainfall thresholds (CRT) and intensity-duration thresholds (IDT).Development of a hazard map for shallow landslides, including predictions of initial location, runout and volumes of sediment involved using a state-of-the-art machine learning multivariate statistical analysis tool called Random Forests (RF).Setup of an EWS based on the rainfall thresholds and support for the implementation of the operational chain of risk mitigation routine procedures already in place.

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The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes

Cited by 28 publications

References 31 publications

Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion

Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion

Evaluating Rockfall Risk: Some Critical Aspects

Development of an early warning system for shallow landslide hazard in the Grasberg area, Indonesia

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