The role of human activities on sediment connectivity of shallow landslides

Persichillo, Maria Giuseppina; Bordoni, Massimiliano; Cavalli, Marco; Crema, Stefano; Meisina, Claudia

doi:10.1016/j.catena.2017.09.025

Cited by 100 publications

(64 citation statements)

References 62 publications

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“…This aspect testifies how slope instability phenomena can actively deliver sediment to particular portions of a road network, producing damage provoked by the impact of the mobilized materials on the infrastructure (Sidle et al, 2014;Klose et al, 2015). Persichillo et al (2018) demonstrated that, in two catchments of Oltrepò Pavese, the road sectors hit by the materials mobilized by shallow landslides that occurred upstream are the ones located close to slopes characterized by the lowest or the highest values of sediments connectivity along the entire catchment. In order to verify the potential influence of this parameter in discriminating the susceptible road sectors, an index of sediment connectivity within the predictor variables of the model was inserted.…”

Section: Predictor Variablesmentioning

confidence: 87%

“…Moreover, societal changes, together with the decreasing number of people actively cultivating the area, caused a reduction in land care practices and maintenance works in both abandoned and cultivated vineyards (Persichillo et al, 2017a(Persichillo et al, , 2018.…”

Section: The Study Areamentioning

confidence: 99%

“…Moreover, 24 failures (5 % of the total number) were roto-translational slides affecting the trench in correspondence with a cut of a road. These phenomena were named as B2 type, according to the term used by Zizioli et al (2013) and Persichillo et al (2018).…”

Section: The Study Areamentioning

confidence: 99%

“…Until now, sediment connectivity has not been considered yet. Tarolli and Sofia (2016) and Persichillo et al (2018) analyzed two different hilly and mountainous catchments, located in western USA and northeastern Oltrepò Pavese, respectively, in order to highlight potential connections between a road network and the sediment delivery. The works both quantified the sediment connectivity using the index of connectivity (IC), that allows the evaluation of the potential connection between hillslopes and features, which act as targets for transported sediments based only on the morphological and topographical characteristics and the vegetation cover of a territory.…”

Section: Predictor Variablesmentioning

confidence: 99%

“…This aspect is well described by the amount in sediment connectivity, which influences the path and the travel distance of the materials mobilized by a slope failure until reaching a potential natural or anthropogenic barrier (e.g., river or road) (Cavalli et al, 2013;Tarolli and Sofia, 2016;Persichillo et al, 2018). In this way, the landslide runout can be estimated and inserted when modelling road susceptibility without employing numerical or physical methods, which require rheological and geotechnical data not easily measurable for the slope materials (Hungr, 1995;Fannin and Wise, 2001;Pastor et al, 2014;Fan et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni

Persichillo

Meisina

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides cause severe damage to the road network of the hit zone, in terms of both direct (partial or complete destruction of a road or blockages) and indirect (traffic restriction or the cut-off of a certain area) costs. Thus, the identification of the parts of the road network that are more susceptible to landslides is fundamental to reduce the risk to the population potentially exposed and the financial expense caused by the damage. For these reasons, this paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to being hit by shallow landslides triggered in slopes upstream from the infrastructure. This model was based on the Generalized Additive Method, where the function relating predictors and response variable is an empirically fitted smooth function that allows fitting the data in the more likely functional form, considering also non-linear relations. This work also analyzed the importance, on the estimation of the susceptibility, of considering or not the sediment connectivity, which influences the path and the travel distance of the materials mobilized by a slope failure until hitting a potential barrier such as a road. The study was carried out in a catchment of northeastern Oltrepò Pavese (northern Italy), where several shallow landslides affected roads in the last 8 years. The most significant explanatory variables were selected by a random partition of the available dataset in two parts (training and test subsets), 100 times according to a bootstrap procedure. These variables (selected 80 times by the bootstrap procedure) were used to build the final susceptibility model, the accuracy of which was estimated through a 100-fold repetition of the holdout method for regression, based on the training and test sets created through the 100 bootstrap model selection. The presented methodology allows the identification, in a robust and reliable way, of the most susceptible road sectors that could be hit by sediments delivered by landslides. The best predictive capability was obtained using a model in which the index of connectivity was also calculated according to a linear relationship, was considered. Most susceptible road traits resulted to be located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. Different land use scenarios were considered in order to estimate possible changes in road susceptibility. Land use classes of the study area were characterized by similar connectivity features. As a consequence, variations on the susceptibility of the road network according to different scenarios of distribution of land cover were limited. The results of this research demonstrate the ability of the developed methodology in the assessment of susceptible roads. This could give the managers of infrastructure information about the criticality of the different road traits, thereby allowing attention and economic budgets to be shifted towards the most critical assets, where structural and non-structur...

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Section: Predictor Variablesmentioning

confidence: 87%

Section: The Study Areamentioning

confidence: 99%

Section: The Study Areamentioning

confidence: 99%

Section: Predictor Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni

Persichillo

Meisina

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Quantifying sediment connectivity: Moving toward a holistic assessment through a mixed methods approach

Turley

Hassan

Slaymaker

2021

Earth Surf Processes Landf

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The sediment connectivity concept is particularly suitable for tackling complex, multidisciplinary questions through systems thinking. However, it is unclear how to directly measure connectivity, and so proxy variables are often applied by indices to provide estimates. In this study, we critically evaluate a broad range of connectivity indices encompassing structural and functional connectivity as well as hillslope channel coupling. We then discuss their role in providing a more holistic estimation of connectivity within the Tahoma Creek Watershed, WA. Of the 14 km of channel below the glacier front, the upper 6 km (0–6 km) are coupled to the adjacent hillslopes. Coupled reaches correspond to regions with a high proportion of area contributing sediment and relatively high connectivity values, where all measures decrease in the downstream direction. A significant transition occurs near river kilometer 6. Here the valley bottom abruptly widens, deposition occurs, and the hillslopes become decoupled from the active channel. This transitional reach is also identified as a geomorphic hotspot based on the network structure. The lower 8 km of channel downstream of this reach are largely depositional and percent contributing area and connectivity values remain low, eventually reaching a minimum. Despite their limitations, we found each method to provide unique and useful information regarding connectivity. The effect of scale and event magnitude on connectivity is illustrated. We also found vegetation, topographic characteristics, and network structure to be important in high‐gradient glacio‐volcanic landscapes. The choice of an index will depend on the research objectives, data availability, and the proxy variables that best describe the variability within the defined area.

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Predicting sediment connectivity in a mountain basin: A quantitative analysis of the index of connectivity

Martini

Cavalli

Picco

2022

Earth Surf Processes Landf

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Sediment connectivity underlies the relationships between sediment source areas and stream network and the use of topography-based indices, such as the index of connectivity (IC), has become a common approach to investigate these relationships.However, few studies have tested the potential of the IC as an independent variable for predicting observable processes. In this study, the aim is the validation of the IC as a semi-quantitative tool for depicting structural connectivity and predicting sediment dynamics linking sediment sources to the channel network after a large

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The role of human activities on sediment connectivity of shallow landslides

Cited by 100 publications

References 62 publications

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Quantifying sediment connectivity: Moving toward a holistic assessment through a mixed methods approach

Predicting sediment connectivity in a mountain basin: A quantitative analysis of the index of connectivity

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