Academic literature on the topic 'Rainfall-triggered shallow landslides, Regional slope stability analysis, Root reinforcement, Vegetation'

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Journal articles on the topic "Rainfall-triggered shallow landslides, Regional slope stability analysis, Root reinforcement, Vegetation"

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Salvatici, Teresa, Veronica Tofani, Guglielmo Rossi, et al. "Application of a physically based model to forecast shallow landslides at a regional scale." Natural Hazards and Earth System Sciences 18, no. 7 (2018): 1919–35. http://dx.doi.org/10.5194/nhess-18-1919-2018.

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Abstract. In this work, we apply a physically based model, namely the HIRESSS (HIgh REsolution Slope Stability Simulator) model, to forecast the occurrence of shallow landslides at the regional scale. HIRESSS is a physically based distributed slope stability simulator for analyzing shallow landslide triggering conditions during a rainfall event. The modeling software is made up of two parts: hydrological and geotechnical. The hydrological model is based on an analytical solution from an approximated form of the Richards equation, while the geotechnical stability model is based on an infinite s
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Masi, Elena Benedetta, Samuele Segoni, and Veronica Tofani. "Root Reinforcement in Slope Stability Models: A Review." Geosciences 11, no. 5 (2021): 212. http://dx.doi.org/10.3390/geosciences11050212.

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The influence of vegetation on mechanical and hydrological soil behavior represents a significant factor to be considered in shallow landslides modelling. Among the multiple effects exerted by vegetation, root reinforcement is widely recognized as one of the most relevant for slope stability. Lately, the literature has been greatly enriched by novel research on this phenomenon. To investigate which aspects have been most treated, which results have been obtained and which aspects require further attention, we reviewed papers published during the period of 2015–2020 dealing with root reinforcem
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van Zadelhoff, Feiko Bernard, Adel Albaba, Denis Cohen, et al. "Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations." Natural Hazards and Earth System Sciences 22, no. 8 (2022): 2611–35. http://dx.doi.org/10.5194/nhess-22-2611-2022.

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Abstract. Shallow landslides pose a risk to infrastructure and residential areas. Therefore, we developed SlideforMAP, a probabilistic model that allows for a regional assessment of shallow-landslide probability while considering the effect of different scenarios of forest cover, forest management and rainfall intensity. SlideforMAP uses a probabilistic approach by distributing hypothetical landslides to uniformly randomized coordinates in a 2D space. The surface areas for these hypothetical landslides are derived from a distribution function calibrated on observed events. For each generated l
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Giadrossich, Filippo, Massimiliano Schwarz, Michael Marden, Roberto Marrosu, and Chris Phillips. "Minimum representative root distribution sampling for calculating slope stability in Pinus radiata D.Don plantations in New Zealand." New Zealand Journal of Forestry Science 50 (August 11, 2020). http://dx.doi.org/10.33494/nzjfs502020x68x.

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Background: Rainfall-triggered shallow landslides on steep slopes cause significant soil loss and can be hazards for property and people in many parts of the world. In New Zealand’s hill country, they are the dominant erosion process and are responsible for soil loss and subsequent impacts on regional water quality. Use of wide-spaced trees and afforestation with fast growing conifers are the primary land management tools in New Zealand to help control erosion and improve water quality. To decide where to implement erosion controls in the landscape requires determining the most susceptible pla
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Dissertations / Theses on the topic "Rainfall-triggered shallow landslides, Regional slope stability analysis, Root reinforcement, Vegetation"

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Masi, Elena Benedetta. "The root reinforcement in a distributed slope stability model: effects on regional-scale simulations." Doctoral thesis, 2020. http://hdl.handle.net/2158/1192258.

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The shallow landslides are hazardous mass movements commonly triggered by intense rainfall. The hazardousness of these events is mainly due to their common evolution in rapid mass movements as debris avalanches and flows and to the frequently occurring in the form of clusters of events. Because of their characteristics, the forecasting is a particularly valuable tool to protect people and infrastructures from this kind of landslide events. The presence of vegetation on hillslopes significantly reduces the slopes susceptibility to the shallow landslides, and the stabilising action is mainly du
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