Scale and spatial distribution assessment of rainfall-induced landslides in a catchment with mountain roads

Abstract

Abstract. This study focused on landslides in a catchment with mountain roads that were caused by Nanmadol (2011) and Kong-rey (2013) typhoons. Image interpretation techniques were employed to for satellite images captured before and after the typhoons to derive the surface changes. A multivariate hazard evaluation method was adopted to establish a landslide susceptibility assessment model. The evaluation of landslide locations and relationship between landslide and predisposing factors is preparatory for assessing and mapping landslide susceptibility. The results can serve as a reference for preventing and mitigating slope disasters on mountain roads.

Topographic Control on Ground Motions and Landslides From the 2015 Gorkha Earthquake

“…Landslides that are negatively amplified are on average located at the base of hillslopes near rivers. These comparatively weak PGVs can trigger landslides because of high landslide susceptibility within river valleys due to river incision, steep slopes, the effects of groundwater on rock strength, and the common occurences of unconsolidated sediments (Rault et al., 2019; Tseng et al., 2018), (Figure 3b, inset). Of the landslides that are positively amplified, a uniform distribution is observed along the hillslope, primarily on the ridge side facing away from the epicenter of the earthquake, rather than at ridge tops as we might expect from a vertically incident wavefield (Figure 3a, inset).…”

Preface: Landslide–transport network interactions

“…Changes to landslides below roads are attributed to changes in drainage from the road, a growing issue widely observed in other climate and geomorphologic contexts (Penna et al, 2014). More work is needed in this area, for which Tseng et al (2018) provide methods to quantify and analyse different processes acting within the locality of roads.…”

“…Understanding the impacts of landslides on transportation network. Examples of methods include forensic analysis of costs (Klose et al, 2016), economic impact modelling (Klose et al, 2015;Jaiswal et al, 2010), traffic impact modelling (Meyer et al, 2015), and modelling spatial and temporal changes to meteorologically triggered landslides under climate change in road corridors (Uzielli et al, 2018).…”

Spatiotemporal Landslide Susceptibility Mapping Incorporating the Effects of Heavy Rainfall: A Case Study of the Heavy Rainfall in August 2021 in Kitakyushu, Fukuoka, Japan

“…On the other hand, rainfall is one of the most critical inducing factors, especially heavy and prolonged rainfall, and rainfall analysis is thus one of the core steps in the temporal LSA [34,35]. The impact of rainfall intensity and duration on landslides has long been an issue of great interest for researchers in LSA [36,37].…”