Rockfall and Debris Flow Hazard Assessment of the Coastal Road of Gipuzkoa (Northern Spain)

Corominas, Jordi; Ibarbia, Iñaki; Luzuriaga, Susana; Navarro, J. A.; Jugo, Ioseba; Jurnet, Carles; Hürlimann, Marcel

doi:10.1007/978-3-642-31319-6_31

Cited by 5 publications

(7 citation statements)

References 2 publications

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“…The mapping procedure has been traditionally treated by using geomorphological methods, and progressively, methodologies based on multivariate statistics and GIS techniques ( [16]; [17]; [18]; [19]; [11]; [3]; [20]; [21]; among others) were applied. Other authors have contributed research in the evaluation of slope movements on rocky slopes.…”

Section: Background and State Of Artmentioning

confidence: 99%

“…The study of the propensity to slope movements on the slopes adjacent to linear road infrastructures (roads, railways, and other similar ones) requires a particular analysis of the susceptibility factors, since the high degree of anthropic alteration generates a mixed context between the natural and the artificial. In this situation, the conditions in which the predisposing factors to mobilization act can change their habitual behavior ( [1]; [2]; [3]).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain)

Perles-Roselló¹,

García²,

Sortino-Barrionuevo³

et al. 2021

Preprint

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This study addresses the peculiarities of the generation of slope movements in the context of road infrastructures and provide a predictive mapping of susceptibility to movements on slopes adjacent to road infrastructures (rockfalls). An inventory of slopes movements was mapped. From the development of the inventory of constant cases of mobilization that is used as a dependent variable, two statistical models can be obtained and compared for the same study area. One of them is based on the concept of frequency, whilst the other one is based on the application of a logistic regression. The results reveal the preponderant importance of lithology as a predictive variable, followed, at a considerable distance, by the slope gradient. Likewise, the importance of an unnatural and characteristic variable area of study, such as the presence of artificial cuts, is indicated as a causative factor. The results show a high degree of coincidence between the tendency of susceptibility predicted by the model, and the effective presence of empirical mobilization signs on the slopes, with Area Under Curve (AUC) values for Receiver Operating Characteristics (ROC) around 0.8.

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Section: Background and State Of Artmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain)

Perles-Roselló¹,

García²,

Sortino-Barrionuevo³

et al. 2021

Preprint

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show abstract

“…Sin embargo, por su particular casuística, son menos frecuentes los trabajos de susceptibilidad a los movimientos en masa o problemas de inundación específicamente referidos y adaptados al entorno de carreteras (Mérida, Perles & Blanco, 1998;Chau et al, 2004;Remondo et al, 2005;Ayalew & Yamagishi 2005;Youssef, Pradhan & Hassan, 2011;Ataollah et al, 2012;Corominas et al, 2013;Delmonaco, Margottini & Spizzino, 2006;San Millán et al, 2016, Sortino et al, 2016, y aún son menos comunes los trabajos referidos a la afección de carreteras por peligros múltiples de funcionamiento asociado. Pueden citarse análisis de las interaciones entre la erosión y la carga sólida de canales transversales a la carretera, o entre ésta y la estabilidad de taludes, y puentes (Simon & Downs, 1995;Lagasse, Schall & Richardson, 2001;Conesa & García, 2013;, aunque, en la mayoría de los casos estos trabajos se desarrollan como informes técnicos a nivel de proyecto de obra, con resultados muy precisos pero poco extrapolables a nivel del conjunto de una infraestructura (Brice, 1984, Furniss et al, 1998.…”

Section: Tratamiento Integral De Los Riesgos En La Infraestructura VIunclassified

“…Desde el punto de vista de la peligrosidad, en estos espacios los procesos hidro-geomorfológicos tienen que adaptar su dinámica a un entorno de transición brusca entre lo natural y lo artificial (Luce & Wemple, 2001;Perles & Cantarero, 2010;Corominas et al, 2013). Los flujos de escorrentía, interrumpidos por la propia infraestructura, han de ajustarse a condiciones artificiales de aceleración o remanso a través de culverts transversales, conducciones longitudinales, bermas, cunetas, etc.…”

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Metodología para la predicción de puntos de riesgos múltiples en infraestructuras viarias tras episodios torrenciales (road-risk)

Roselló

García

Rodríguez

et al. 2019

BAGE

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Se presentan los contenidos de una metodología que permite predecir y cartografiar aquellos puntos en el recorrido de una infraestructura viaria susceptibles de quedar bloqueados por riesgos tras episodios de precipitación torrencial. Se consideran los riesgos de movimiento en masa, subsidencia del firme, generación de balsas e inundación por desbordamiento de cauces aledaños. Para estimar las consecuencias en cada punto, se evalúan tanto factores de peligrosidad como de vulnerabilidad del medio humano frente al potencial corte de tráfico. Se ha diseñado, además, una aplicación informática que implementa la metodología obtenida y facilita su aplicación a otros casos.

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“…As for debris flow, scholars have studied the characteristics of debris flow activities (Wang et al, 2013;Sepúlveda et al, 2015;Xiong et al, 2020) to master its development law (Santi et al, 2011), which can effectively establish a debris flow evaluation model to assess the vulnerability (Sujatha, 2020) and hazard (Corominas et al, 2013;Kim et al, 2016) or risk (Budetta, 2002;Wieczorek et al, 2004;CUI et al, 2013;Ali et al, 2021), and put forward effective and reasonable control measures (Youssef et al, 2014). Through literature review, it is found that the research on highway debris flow disaster has not been evaluated from a regional perspective.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Highway in the Upper Reaches of Minjiang River under the Stress of Debris Flow

Li¹,

Tian²,

Huang³

et al. 2021

GEP

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The southwest mountainous area is a frequent debris flow disaster area in China, which poses a serious threat to the regional roads and greatly affects the normal traffic operation and the safety of residents' lives and property. The debris flow risk assessment of highway can quantify the threat degree of debris flow to the roads. In this paper, from the perspective of villages and towns, taking the upper reaches of Minjiang River as the research area, four factors including road network density, highway disaster resistance capacity, population density and highway cost are selected, and the weight is obtained by using entropy weight method, and the debris flow vulnerability evaluation results of highway are obtained by weighted calculation. Four indexes of debris flow density, shape factor, relative height difference and annual rainfall are selected to evaluate the debris flow hazard of highway by using the information method. Based on the vulnerability and hazard evaluation results, the risk of highway debris flow is evaluated, and the results are classified and discussed. The results show that: the risk of debris flow on the upper reaches of Minjiang River is relatively low, the overall spatial distribution shows a trend of high in the East and low in the west, and the overall risk of township roads in Wenchuan county is the highest; The risk of debris flow is generally high within −10 to 30 km from the central fault zone of Longmenshan.

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Rockfall and Debris Flow Hazard Assessment of the Coastal Road of Gipuzkoa (Northern Spain)

Cited by 5 publications

References 2 publications

Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain)

Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain)

Metodología para la predicción de puntos de riesgos múltiples en infraestructuras viarias tras episodios torrenciales (road-risk)

Risk Assessment of Highway in the Upper Reaches of Minjiang River under the Stress of Debris Flow

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