Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains

Marin, Roberto; Velásquez, María Fernanda; Aristizábal, Edwin Fabián García; Alvioli, Massimiliano; Aristizábal, Édier

doi:10.1016/j.catena.2021.105563

Cited by 22 publications

(13 citation statements)

References 62 publications

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“…Comparing the rainfall thresholds defined by not excluding and excluding these data shows that these data will reduce the accuracy and lift the position of the rainfall thresholds curves on the graph (Figure 5, Table 3). At the basin scale, given that the overall behavior of all unstable grid cells in the entire study area is analyzed, it is reasonable to select a fixed D value to exclude the same I values [53,54,56]. However, it is different for defining the rainfall thresholds at the grid cell or slope unit scales.…”

Section: Discussionmentioning

confidence: 99%

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Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS

Zhang

Jiang

et al. 2022

Water

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The Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model has been widely used to define rainfall thresholds for triggering shallow landslides. In this study, the rainfall intensity(I)-duration(D) thresholds for multiple slope units of an area in Pu’an County, Guizhou Province, China were defined based on TRIGRS. Given that TRIGRS is used to simulate the slope stability under the conditions of a given increasing sequence of I-D data, if the slope reaches instability at I = a, D = b, it will also become unstable in the case of I = a, D > b or I > a, D = b. To explore the effect of these I-D data with the same I or D values on the definition of I-D thresholds and the best method to exclude these data, two screening methods were used to exclude the I-D data that caused instability in the TRIGTS simulation. First, I-D data with the same I values when D values are greater than a certain limit value were excluded. Second, several D values were selected to exclude I-D data with the same I values for a slope unit. Then, an I value was selected to exclude I-D data with the same D values. After screening, two different I-D thresholds were defined. The comparison with the thresholds defined without screening shows that the I-D data with the same I or D values will reduce the accuracy of thresholds. Moreover, the second screening method can entirely exclude these data.

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Section: Discussionmentioning

confidence: 99%

“…Marin et al utilized TRIGRS to define the I-D thresholds at the basin scale [53,54,56]. This method was used in this study to define the I-D rainfall threshold of the slope units with critical rainfall in Dabang village.…”

Section: Methods To Define I-d Thresholdsmentioning

confidence: 99%

Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS

Zhang

Jiang

et al. 2022

Water

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“…A pesar de que no existen registros de la evolución de la topografía, si extrapolamos esta correlación, a partir del año 2015 debió existir un cambio bastante acusado de la topografía. Como se observa en la tabla 1, a partir del año 2015 se registran valores tres veces más altos de precipitación respecto a los años anteriores, por lo que la presencia de precipitaciones constantes podrían haber acelerado los movimientos en masa, tal y como se demostró en estudios realizados en zonas andinas en Latinoamérica y en Ecuador (Marin et al, 2021;Soto et al, 2017;Zárate et al, 2021). Además, de acuerdo con las características edáficas de la zona, la cangagua meteorizada y suelta, permite que el agua que cae por efecto de la precipitación se infiltre y escurra en las capas subsuperficiales, teniendo un efecto similar a lo ocurrido en la erosión regresiva que se muestra en el río Coca en la zona norte del Ecuador (Graw et al, 2022).…”

Section: Evolución De Los Movimientos En Masa De Tierra Y Sus Consecu...unclassified

América Latina ante los (nuevos) retos de la justicia social y ambiental.

Gusman¹,

Guilarte²,

Cidrás³

et al. 2023

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La justicia ha sido una cuestión teórica recurrente en las ciencias sociales críticas, entendiendo como tales aquellas que parten de un posicionamiento claro que rehúye de la objetividad pura de las ciencias naturales y que propone una actitud reflexiva explicitada e históricamente contextualizada de los procesos estudiados (Brenner et al., 2012). Ya en los años setenta, autores como Harvey intentan aplicar el concepto de justicia en el que se incluya un componente espacial, con lo que intentan desarrollar una teoría de justicia social territorial: que implique cubrir las necesidades en función de los ingresos obtenidos y redistribuir de tal manera que los territorios con una posición más desaventajada sean los más favorecidos (Harvey, 2014). Investigaciones como las de Young (2000), publicada inicialmente en 1990, contribuyeron a que los geógrafos se centraran, además de en los procesos de redistribución, en las diferencias en las formas de opresión y dominación a los grupos sociales subalternos (Young, 2000; Pzybylinski, 2022). Dentro de ese conjunto, las reflexiones centradas en el carácter de (in)justicia del proceso de urbanización son recurrentes (Lévy et al, 2018). Más concretamente, en lo que se refiere al ámbito puramente geográfico, autores como Hopkins analizan el compromiso de la subdisciplina de la Geografía social con la consecución de justicia social (Hopkins, 2021).A pesar de la importancia que la espacialidad ha asumido en el planteamiento de las cuestiones de justicia, tanto en su vertiente territorial como también temporal, fenómenos como el cambio climático, la integración de las economías nacionales en un sistema económico global, la creciente urbanización, la mejoría de las REFERENCIAS

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“…Physically-based models have been used in the last few decades to assess landslide susceptibility and hazard in many regions worldwide (Baum et al, 2005;Lin et al, 2021;Michel et al, 2014;Montrasio et al, 2011). There are developing methodologies such as probabilistic applications (Marin and Mattos, 2020;Raia et al, 2014), or rainfall threshold definition (Alvioli et al, 2018;Marin, 2020;Marin et al, , 2021cMarin et al, , 2021dPapa et al, 2013). Even though the spatial and temporal prediction of landslides is considered a very difficult (almost impossible in many cases) task due to the high variability and that many factors (with great uncertainty) intervene in their occurrence, landslide early warning systems in different regions worldwide have adopted different methods trying to forecast landslide occurrence (Guzzetti et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Understanding the sensitivity to the soil properties and rainfall conditions of two physically-based slope stability models

Marin¹,

Mattos²,

Fernández-Escobar

2022

Boletín de Geología

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Physically-based models have been used to assess landslide susceptibility, hazard, and risk in many regions worldwide. They have also been regarded as valuable tools for landslide prediction and the development or improvement of landslide early warning systems. They are usually validated to demonstrate their predictive capacity, but they are not deeply studied regularly to understand the sensitivity of the input variables and the behavior of the models under many different rainfall scenarios. In this research paper, we studied two distributed physically-based models for shallow landslides: SLIP and Iverson. For this, the first-order second-moment (FOSM) method was used to calculate the contribution of random input variables (soil strength, unit weight, and permeability parameters) to the variance of the factor of safety. Different intensity and duration rainfall events were simulated to assess the response of the models to those rainfall conditions in terms of the factor of safety and failure probability. The results showed that the shear strength (cohesion and friction angle, in order of significance) parameters have the largest contribution to the variance in both models, but they vary depending on geological, geotechnical, and topographic conditions. The Iverson and SLIP models respond in different ways to the variation of rainfall conditions: for shorter durations (e.g. ≤ 8 h), increasing the intensity caused more unstable areas in the SLIP model, while for longer durations the unstable areas were considerably higher for the Iverson model. Understanding those behaviors can be useful for practical and appropriate implementation of the models in landslide assessment projects.

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Assessing two methods of defining rainfall intensity and duration thresholds for shallow landslides in data-scarce catchments of the Colombian Andean Mountains

Cited by 22 publications

References 62 publications

Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS

Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS

América Latina ante los (nuevos) retos de la justicia social y ambiental.

Understanding the sensitivity to the soil properties and rainfall conditions of two physically-based slope stability models

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