Landslide Hazard Scenarios Based on Both Past Landslides and Precipitation

Remondo, Juan; Bonachea, Jaime; Rivas, Victoria; Sánchez-Espeso, Javier; Bruschi, Viola María; Cendrero, Antonio; Terán, J.R. Díaz de; Fernández-Maroto, Gema; Gómez-Arozamena, José; González-Dı́ez, Alberto; Sàinz, Carlos

doi:10.1007/978-3-319-53498-5_111

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…These observations reveal a certain lag in the impact of rainfall and reservoir water level on landslides. Rainfall increases both surface and underground runoff, contributing to reservoir area infiltration, leading to a subsequent rise in reservoir water, exhibiting a hysteresis effect [39].…”

Section: Quantitative Analysis Of the Association Degree Between Land...mentioning

confidence: 99%

Study on Landslide Displacement Prediction Considering Inducement under Composite Model Optimization

Ye,

Liu,

Xie

et al. 2024

Electronics

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The precise extraction of displacement time series for complex landslides poses significant challenges, and conventional landslide prediction models often overlook the deformation impacts of displacement triggers. To address this, we introduce a novel composite model tailored for predicting landslide displacement. This model employs Variational Mode Decomposition (VMD) to isolate each displacement component, with optimization achieved through the groupwise coupling algorithm. Subsequently, Grey correlation analysis (GRA) is applied to quantitatively assess the dynamic correlations between various triggering factors and landslide displacement. This analysis informs the construction of a feature set predicated on these correlation factors. Integrating the time-series VMD module into the standard Transformer architecture facilitates the prediction of landslide displacement. This integration allows for the extraction of critical time-evolution features associated with the displacement components. Ultimately, the predicted displacements are aggregated and reconstructed. We validate our model using the Bazimen landslide case study, analyzing displacement monitoring data from 1 January 2007, to 31 December 2012. The values of the root mean square error and the mean absolute percentage error were 1.86 and 4.85, respectively. This model offers a more nuanced understanding of the multifaceted causes and evolutionary dynamics underpinning landslide displacement and deformation, thereby markedly enhancing prediction accuracy.

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Section: Quantitative Analysis Of the Association Degree Between Land...mentioning

confidence: 99%

Study on Landslide Displacement Prediction Considering Inducement under Composite Model Optimization

Ye,

Liu,

Xie

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…1), and represents the typical hilly and mountainous Atlantic landscape. This area presents generalized persistent precipitation values (average: 1597 mm/year) and two main rainy periods: November-January and April (Remondo et al 2017). The study area comprises two main geological units: the Basque Arc, with Mesozoic and Cenozoic marine sedimentary materials, and the Paleozoic Massif of Cinco Villas, in the northeaster sector (EVE 2010).…”

Section: Study Areamentioning

confidence: 99%

Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)

Bornaetxea

Remondo

Bonachea

et al. 2023

Preprint

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As in many landslide-prone areas of the world, landslides are recurrent in the Gipuzkoa province (northern Spain) and commonly cause damage to communication infrastructure such as roads and railways. This geomorphological process also threatens buildings and human beings, albeit in a lesser level. Despite the individual efforts by different institutions and academic research groups, basic and crucial information about historic and ancient landslides occurred in this territory—i.e., landslide inventories—is incomplete or unevenly distributed throughout the province. The aim of this work is to present the state of the art on landslide information through the description of the existing landslide inventories conducted in Gipuzkoa to date. Among the collected information, 5 landslide inventories are in digital format and 11 on paper maps, spanning the period 1991 to 2018. We have compared the digital databases using different strategies to assess their differences and provide some recommendations, specific for Gipuzkoa, to improve the quality of landslide information currently available, to avoid duplicate efforts in data collection and further the understanding of landslide occurrences at regional scale.

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“…The inventory of landslides (multi-temporal and event-based) includes a total of 1,180 movements (Table 1) identified and dated primarly through interpretation of aerial photographs and orthophotos and fieldwork, covering a 60-year period (Remondo et al, 2003b(Remondo et al, , 2008(Remondo et al, , 2017Bonachea et al, 2009;Rivas et al, 2016). Landslides correspond mainly to debris slides, of small size (≈500 m2 and 200 m3), affecting weathered and colluvial materials.…”

Section: Landslide Inventorymentioning

confidence: 99%

“…This information, although with limitations, provides a great opportunity to carry out a robust assessment of the characteristics of the rainfall capable of producing intense landslide activity in this area. This is particularly relevant taking into account that in Cantabrian Mountains, where landslides are a common and widespread geomorphic process, only a few works related to rainfall induced landslides have been carried out (mainly Remondo et al, 2017;Valenzuela et al, 2017a).…”

Section: Introductionmentioning

confidence: 99%

Rainfall and weather conditions inducing intense landslide activity in northern Spain (Deba, Guipúzcoa)

Rivas

Remondo

Bonachea

et al. 2020

Preprint

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Abstract. The Deba area is intensely affected by frequent shallow landslides triggered by rainfall. Relationships between rainfall and landslides in northern Spain, particularly for rainfall events driving multiple movements simultaneously, have not been explored in depth so far. This contribution explores the role of rainfall in landslide activity during a quite long time span, (60 years), from a large network of rainfall gauges and a complete inventory of landslides, and utilizing three different strategies of analysis. 1,180 landslides have been inventoried, and 3,241 rainfall episodes automatically recognized and characterized in terms of rainfall amount, duration and intensity. Antecedent rainfall has also been considered. Six episodes of intense rainfall, which have produced multiple landslides (> 50 % of the recent past occurrences) have been identified. The analysis provides different results: the extraordinary character of the triggering rainfall has been assessed, the meteorological conditions associated to those extreme episodes have been recognized and empirical rainfall threshold producing multiple landslides has been found (I = 7.7D-0.428) and compared with others described in literature. Results show that multiple landslide occurrences are triggered by extreme convective rainfall, intense, short and with limited horizontal extent, as well as a marked summer-autumn seasonality, characteristic of Mediterranean climate.

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Landslide Hazard Scenarios Based on Both Past Landslides and Precipitation

Cited by 4 publications

References 20 publications

Study on Landslide Displacement Prediction Considering Inducement under Composite Model Optimization

Study on Landslide Displacement Prediction Considering Inducement under Composite Model Optimization

Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)

Rainfall and weather conditions inducing intense landslide activity in northern Spain (Deba, Guipúzcoa)

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