Preliminary Modeling of Rockfall Runout: Definition of the Input Parameters for the QGIS Plugin QPROTO

Castelli, Marta; Torsello, Giulia; Vallero, Gianmarco

doi:10.3390/geosciences11020088

Cited by 13 publications

(22 citation statements)

References 28 publications

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“…QPROTO plugin allows to assign a different propensity to detachment index (DI) to each source point. DI can be seen as a weight highlighting the most likely source zones to trigger rockfall events and can be defined as a function of the available information related to the study area combined with the results of rapid on-site survey [22]  Boulder mass which is 10m 3 according to in situ measurements (Fig 3).  Energy Line Angle of the cone equals to 32 o , based on slopes conditions which were extracted by the used DSMs.…”

Section: Resultsmentioning

confidence: 99%

“…For this study, QPROTO plugin was applied in Platiana rockfall as it offers all the above characteristics. According to this plugin, an equivalent pure sliding motion in a plane simplifies the complex path that a block follows along a slope [22]. The main parameters of QPROTO, which is based on Cone Method, are the aspect -dip direction θ of the slope, the energy line angle φp of the slope and the lateral angle -lateral angle α of the cone.…”

Section: Discussionmentioning

confidence: 99%

“…In this paper, the three dimension QGIS-based plugin QPROTO [22] was applied in a well-studied rockfall in Platiana village of Ilia prefecture in Greece. This plugin was created for implementing Cone Method which is using a DTM and a grid file containing all the rockfall source points aiming to estimate the potential rockfall propagation area [23].…”

Section: Introductionmentioning

confidence: 99%

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The influence of DSM on rock-fall simulation: a case study from Western Greece

Kakavas¹,

Nikolakopoulos²

2022

Earth Resources and Environmental Remote Sensing/Gis Applications XIII

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A plethora of risk-assessment methodologies have been developed for the detection of rockfall-prone areas. In this study, a freely available add-on for QGIS software named QPROTO, was chosen for hazard and susceptibility analyses of a well-studied rockfall in Platiana village of Ilia prefecture. QPROTO is based on the Cone Method and focuses on the identification of areas vulnerable to rockfall phenomena. The software takes into consideration the slope's topography and various empirical parameters (e.g. dip direction θ, energy angle φp, lateral angle a). It calculates block velocity, kinetic energy, as well as the estimation of the time-independent relative rockfall hazard. The basic input parameters in QPROTO are a Digital Elevation Model (DEM), aspect, detachment propensity, boulder mass, energy line angle and lateral spreading angle. Slope characteristics (slope inclination, forest coverage) and block characteristics (block volume, block shape) are the main parameters that influence the evolution of a rockfall phenomenon. As DEMs extract details pertaining to the topography of the slope it is an essential factor for rockfall quantative computation via the aforementioned plugin. Eight free available DEMs have been evaluated in this work aiming to assess the most efficient ones. A DSM created from UAV data, a DSM from the Greek Cadastral, DSM from the Ministry of Agriculture, ALOS AW3D30 DEM, ASTER GDEM, SRTM30 DEM, SRTM90 DEM and TanDEM_X are used. Diverse analyses were performed and the results are presented. It is proved that the spatial resolution of the DEM is very crucial for the accuracy of the results.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The influence of DSM on rock-fall simulation: a case study from Western Greece

Kakavas¹,

Nikolakopoulos²

2022

Earth Resources and Environmental Remote Sensing/Gis Applications XIII

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“…To validate the RADAR plugin, the proposed methodology is applied to a particularly critical alpine region situated within the municipality of Bardonecchia, located in the Susa Valley, part of the Piemonte region in Italy. In this context, a comprehensive 3D analysis of rockfall runout is performed using the established QGIS Predictive ROckfall TOol (QPROTO) plugin [14], along with the newly introduced RADAR plugin.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Assess the Influence of Rockfall Source Areas: The Case Study of Bardonecchia (Italy)

Milan,

Napoli,

Barbero

et al. 2023

Geosciences

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In this research article, we propose a practical methodology for evaluating the affecting potential of detachment areas in rockfalls. Our innovative approach combines an assessment of the visibility of rockfall source areas, with reference to specific rockfall scenarios and elements at risk, considering the rockfall Susceptibility Index to Failure (SIF) of these areas. The result is the characterization of source areas through a rockfall Source Affecting Index (SAI), which considers both the morphology of the slope and the geostructural conditions of the rock walls. This information can be very useful since it aids in optimizing more in-depth analyses, as well as the placement of monitoring instruments or stabilization systems. The proposed methodology has been implemented in the open-source software QGIS through the development of an easy-to-use plugin named Ranking of the Affecting Potential of Detachment Areas in Rockfalls, or “RADAR”. RADAR is designed to be used in conjunction with QPROTO, a well-known QGIS plugin for preliminary rockfall susceptibility/hazard analyses based on a visibility analysis and a simplified mechanical method. To demonstrate the effectiveness of the proposed approach, an application to a case study located in the Western Alps (Bardonecchia, Italy) is presented and discussed in the paper.

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“…In this regard, the use of computer tools for rockfall simulations has become popular in determining runout distance, jump height, kinetic energy, and impact force [30], and consequently identifying potential rockfall areas [31]. In this study, the QPROTO tool was used [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca–Ecuador)

et al. 2021

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In most countries, landslides have caused severe socioeconomic impacts on people, cities, industrial establishments, and lifelines, such as highways, railways, and communication network systems. Socioeconomic losses due to slope failures are very high and they have been growing as the built environment expands into unstable hillside areas under the pressures of growing populations. Human activities as the construction of buildings, transportation routes, dams, and artificial canals have often been a major factor for the increasing damage due to slope failures. When recovery actions are not durable from an economic point of view, increasing the population’s awareness is the key strategy to reduce the effects of natural and anthropogenic events. Starting from the case study of the Pan-American Highway (the Ecuadorian part), this article shows a multi-approach strategy for infrastructure monitoring. The combined use of (i) DInSAR technique for detection of slow ground deformations, (ii) field survey activities, and (iii) the QPROTO tool for analysis of slopes potentially prone to collapse allowed us to obtain a first cognitive map to better characterize 22 km of the highway between the cities of Cuenca and Azogues. This study is the primary step in the development of a landslide awareness perspective to manage risk related to landslides along infrastructure corridors, increasing user safety and providing stakeholders with a management system to plan the most urgent interventions and to ensure the correct functionality of the infrastructure.

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Preliminary Modeling of Rockfall Runout: Definition of the Input Parameters for the QGIS Plugin QPROTO

Cited by 13 publications

References 28 publications

The influence of DSM on rock-fall simulation: a case study from Western Greece

The influence of DSM on rock-fall simulation: a case study from Western Greece

A Novel Approach to Assess the Influence of Rockfall Source Areas: The Case Study of Bardonecchia (Italy)

Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca–Ecuador)

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