Preface: Landslide–transport network interactions

Taylor, Faith E.; Tarolli, Paolo; Malamud, Bruce D.

doi:10.5194/nhess-20-2585-2020

Cited by 12 publications

(8 citation statements)

References 38 publications

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“…Roads, which are by definition always included in the first visibility class, are also considered by many authors as a predisposing factor since cut-and-fill failures, drainage and groundwater alteration can influence the occurrence of landslides (Brenning et al, 2015;Donnini et al, 2017;Giordan et al, 2018;McAdoo et al, 2018). Moreover, Taylor et al (2020) suggest that transport networks and landslides are interconnected in terms of process and impacts. Indeed, Tanyaş et al (2022) also state that road construction acts as a major causative factor of landslides.…”

Section: Discussionmentioning

confidence: 99%

Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)

Bornaetxea

Marchesini

Kumar

et al. 2022

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslide inventories are used for multiple purposes including landscape characterisation and monitoring, and landslide susceptibility, hazard and risk evaluation. Their quality and completeness can depend on the data and the methods with which they were produced. In this work we evaluate the effects of a variable visibility of the territory to map on the spatial distribution of the information collected in different landslide inventories prepared using different approaches in a study area. The method first classifies the territory in areas with different visibility levels from the paths (roads) used to map landslides and then estimates the landslide density reported in the inventories into the different visibility classes. Our results show that (1) the density of the information is strongly related to the visibility in inventories obtained through fieldwork, technical reports and/or newspapers, where landslides are under-sampled in low-visibility areas; and (2) the inventories obtained by photo interpretation of images suffer from a marked under-representation of small landslides close to roads or infrastructures. We maintain that the proposed procedure can be useful to evaluate the quality and completeness of landslide inventories and then properly orient their use.

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Section: Discussionmentioning

confidence: 99%

Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)

Bornaetxea

Marchesini

Kumar

et al. 2022

Nat. Hazards Earth Syst. Sci.

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“…Swanson & Dryness 1975, Sidle et al 2011 as well as recently (e.g. Sudmeier-Rieux et al 2019, Taylor et al 2020. Road construction works can also set preconditions for increased subsequent landslide activity, as, for example, described by McAdoo et al (2018), who concluded that likely twice as many rainfall-triggered landslides occur in areas close to poorly constructed roads as it would be the case without roads.…”

Section: Introductionmentioning

confidence: 87%

Landslides associated with recent road constructions in the Río Lucma catchment, eastern Cordillera Blanca, Peru

Emmer

Hölbling

Abad

et al. 2022

An. Acad. Bras. Ciênc.

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Extensive road construction works recently took place in the remote eastern part of the Peruvian Cordillera Blanca, aiming at a better connection of isolated mountain communities with regional administrative centres. Here we document and characterize landslides associated with these road construction efforts in the Río Lucma catchment, Peru. We show that a total area of 321,332 m 2 has been affected by landslides along the 47.1 km of roads constructed between 2015 and 2018. While landslides downslope the roads (48.2%) and complex landslides crossing the roads (46.4%) were the most frequent landslide types in relation to the position of the road; slide-type movement (60.7%) prevails over the fl ow-type movement (39.3%). Timewise, we found that 75.0% of landslides were observed simultaneously with road construction work, while the remaining 25.0% occurred up to seven months after the roads had been constructed.We plotted the lagged occurrence of these subsequent landslides against precipitation data, showing that 85.7% of them were observed during the wet season (November to April). We conclude that the majority of mapped landslides were directly associated with road constructions and that the road constructions also may set preconditions for landslides, which mainly occurred during the subsequent wet season.

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“…Historical or field-based inventories often show an abundant quantity of landslides near urban areas or infrastructure, where damage is more frequent, sites are more accessible, and mitigation plans are elaborated (Guzzetti et al, 1999(Guzzetti et al, , 1994Ibsen and Brunsden, 1996;Steger et al, 2021;Trigila et al, 2010;Wood et al, 2020). Usually, the accumulation of information along roads is particularly rich, highlighting that landslides and transport networks are intrinsically interconnected in terms of process and impacts (Taylor et al, 2020). The reasons of that close relationship are very complex and not fully unravelled (Brenning et al, 2015;Donnini et al, 2017;Giordan et al, 2018;McAdoo et al, 2018;Meneses et al, 2019;Santangelo et al, 2015;Sidle et al, 2014;Sidle and Ziegler, 2012), raising a need to investigate whether the major availability of roadside landslide information in inventories is purely causal (roads act as predisposing factors) or also depends on other factors, such as visibility matters.…”

Section: Rationalementioning

confidence: 99%

Terrain visibility impact on the preparation of landslide inventories: some practical cases

Bornaetxea

Marchesini

Kumar

et al. 2021

Preprint

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Abstract. Landslide inventories are used for multiple purposes including landscape characterisation and monitoring, and landslide susceptibility, hazard and risk evaluation. Their quality can depend on the data and the methods with which they were produced. In this work we evaluate the effects of a variable visibility of the territory to map on the spatial distribution of the information collected by four landslide inventories prepared using different approaches in two study areas. The method first classifies the territory in areas with different visibility levels from the paths (roads) used to map landslides, and then estimates the landslide density reported in the inventories into the different visibility classes. Our results show that 1) the density of the information is strongly related to the visibility in inventories obtained through fieldwork, technical reports and/or newspapers, where landslides are under-sampled in low visibility classes; and 2) the inventories obtained by photo-interpretation of images suffer from a marked under representation of small landslides close to roads or infrastructures. We maintain that the proposed procedure can be useful to evaluate the quality of landslide inventories and then properly orient their use.

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Preface: Landslide–transport network interactions

Cited by 12 publications

References 38 publications

Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)

Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)

Landslides associated with recent road constructions in the Río Lucma catchment, eastern Cordillera Blanca, Peru

Terrain visibility impact on the preparation of landslide inventories: some practical cases

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