Potential effects of climate changes on soil–atmosphere interaction and landslide hazard

Rianna, Guido; Comegna, Luca; Mercogliano, Paola; Picarelli, Luciano

doi:10.1007/s11069-016-2481-z

Cited by 19 publications

(9 citation statements)

References 26 publications

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“…Other studies carried out by the IPCC indicate a high probability of impacting the hydrological cycle due to human activities, which have generated an increase in the moisture content in the atmosphere throughout the world [5, p.143]. This could be mitigated by setting priorities and implementing adaptation strategies in time [10].…”

Section: Climate Variabilitymentioning

confidence: 99%

A review of the relation between climate variability and mass removal processes

Barreto

Rojas²

2021

ing. Solidar

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This literature review article is a product of the Research Project “Relation Between Climate Variability with Mass Removal Processes. Tunja-Páez case study”, developed in the Universidad Pedagógica y Tecnológica de Colombia in the year 2020. Introduction: This article focuses on the review of research studies and advances made during the last decade regarding the influence of climatic variability on the dynamics of slopes. Objective: To determine the influence of climatic variability in areas that present slope instability in the Tunja-Páez road corridor located in the department of Boyacá. Methods: A systematic review of information from books, manuals, reports, guides, and scientific articles on climate change, climate variability, mass removal processes, meteorological variables, and their influence on the resilience and adaptation of infrastructure related to containment and slope drainage projects. Results: The studies indicate criteria that relate temperature, precipitation and seismic activity with the occurrence of mass movements. Conclusion: Climatic anomalies in terms of precipitation and temperature has allowed research methodologies using probabilistic models to be developed for estimating the occurrence of said phenomena in future scenarios. Originality: The presented literature indicates the influence of climatic variability in the resulting mass removal processes as evidenced in studies at the global and national level. Limitations: This article scientific studies have been compiled that contrast the problems in the stability of slopes of the Tunja-Páez road corridor, without going into the details of these problems.

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Section: Climate Variabilitymentioning

confidence: 99%

A review of the relation between climate variability and mass removal processes

Barreto

Rojas²

2021

ing. Solidar

View full text Add to dashboard Cite

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“…The digital layer of temperature degree (annual average) consisted of eight classes with a 2 • C increase in each class from 4 • C to 18 • C. In large-scale studies, the layers of climate conditions and temperature degree are counted homogeneous, and hence are unsuitable, but in this research, because of the small scale of the study area, those layers were heterogeneous enough for evaluation of their possible effects on landslide occurrence. Both factors have been shown to impact landslide occurrence by affecting the soil-atmosphere relationship, that is to say, they can change the soil moisture which in turn can change the pore water pressure, and therefore shear strength of the slopes [94,95]. In addition, an increase of humidity and temperature can both considerably influence the weathering process of rocks and soils and facilitate the production of basic materials for land sliding [96].…”

Section: Data and Informationmentioning

confidence: 99%

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms

Vakhshoori

Pourghasemi

Zare

et al. 2019

Water

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The aim of this study was to apply data mining algorithms to produce a landslide susceptibility map of the national-scale catchment called Bandar Torkaman in northern Iran. As it was impossible to directly use the advanced data mining methods due to the volume of data at this scale, an intermediate approach, called normalized frequency-ratio unique condition units (NFUC), was devised to reduce the data volume. With the aid of this technique, different data mining algorithms such as fuzzy gamma (FG), binary logistic regression (BLR), backpropagation artificial neural network (BPANN), support vector machine (SVM), and C5 decision tree (C5DT) were employed. The success and prediction rates of the models, which were calculated by receiver operating characteristic curve, were 0.859 and 0.842 for FG, 0.887 and 0.855 for BLR, 0.893 and 0.856 for C5DT, 0.891 and 0.875 for SVM, and 0.896 and 0.872 for BPANN that showed the highest validation rates as compared with the other methods. The proposed approach of NFUC proved highly efficient in data volume reduction, and therefore the application of computationally demanding algorithms for large areas with voluminous data was feasible.

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“…In the latter case, a stochastic approach is coupled with biascorrected climate data to provide assessments at an hourly scale (adopted for the Ravello test case). Some studies (Reder et al, 2016;Ciervo et al, 2016;Rianna et al, 2017b) make use of expeditious statistical approaches referring to rainfall thresholds to assess slope stability conditions, while other studies employ physically based approaches (Damiano and Mercogliano, 2013;Rianna et al, 2017a).…”

Section: Previous Studies Of Flow-like Movements In Pyroclastic Soilsmentioning

confidence: 99%

Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change

Uzielli

Rianna

Ciervo

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. In recent years, flow-like landslides have extensively affected pyroclastic covers in the Campania region in southern Italy, causing human suffering and conspicuous economic damages. Due to the high criticality of the area, a proper assessment of future variations in event occurrences due to expected climate changes is crucial. The study assesses the temporal variation in flow-like landslide hazard for a section of the A3 “Salerno–Napoli” motorway, which runs across the toe of the Monte Albino relief in the Nocera Inferiore municipality. Hazard is estimated spatially depending on (1) the likelihood of rainfall-induced event occurrence within the study area and (2) the probability that the any specific location in the study area will be affected during the runout. The probability of occurrence of an event is calculated through the application of Bayesian theory. Temporal variations due to climate change are estimated up to the year 2100 through an ensemble of high-resolution climate projections, accounting for current uncertainties in the characterization of variations in rainfall patterns. Reach probability, or defining the probability that a given spatial location is affected by flow-like landslides, is calculated spatially based on a distributed empirical model. The outputs of the study predict substantial increases in occurrence probability over time for two different scenarios of future socioeconomic growth and atmospheric concentration of greenhouse gases.

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Potential effects of climate changes on soil–atmosphere interaction and landslide hazard

Cited by 19 publications

References 26 publications

A review of the relation between climate variability and mass removal processes

A review of the relation between climate variability and mass removal processes

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms

Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change

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