Landslide susceptibility and mobilization rates in the Mount Elgon region, Uganda

Broeckx, Jente; Maertens, Michiel; Isabirye, Moses; Vanmaercke, Matthias; Namazzi, Betty; Deckers, Jozef; Tamale, Joseph; Jacobs, Liesbet; Thiery, Wim; Kervyn, Matthieu; Vranken, Liesbet; Poesen, Jean

doi:10.1007/s10346-018-1085-y

Cited by 39 publications

(17 citation statements)

References 55 publications

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“…A range of studies from around the world have assessed the locations of landslides and used them to construct susceptibility models for local settings [e.g., Emberson et al 2021, Goetz et al 2015, Broeckx et al 2019, across larger regions [e.g., Van Den Eeckhaut & Hervas, 2012, and globally [e.g., Stanley et al 2017, Nowicki Jesse et al 2018, Tanyas et al 2019. Comprehensive reviews of landslide susceptibility models [Budimir et al 2015, Reichenbach et al 2018] highlight a number of factors that are often considered to be generally important for landslide susceptibility.…”

Section: Introductionmentioning

confidence: 99%

Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories

Emberson

Kirschbaum²,

Amatya³

et al. 2021

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Abstract. Landslides are a key hazard in high-relief areas around the world and pose a risk to population and infrastructure. It is important to understand where landslides are likely to occur in the landscape to inform local analyses of exposure and potential impacts. Large triggering events such as earthquakes or major rain storms often cause hundreds or thousands of landslides, and mapping the landslide populations generated by these events can provide extensive datasets of landslide locations. Previous work has explored the characteristic locations of landslides triggered by seismic shaking, but rainfall induced landslides are likely to occur in different parts of a given landscape when compared to seismically induced failures. Here we show measurements of a range of topographic parameters associated with rainfall-induced landslides inventories, including a number of previously unpublished inventories which we also present here. We find that average upstream angle and compound topographic index are strong predictors of landslide headscarp location, while local relief and topographic position index provide a stronger sense of where landslide material may end up (and thus where hazard may be highest). By providing a large compilation of inventory data for open use by the landslide community, we suggest that this work could be useful for other regional and global landslide modelling studies and local calibration of landslide susceptibility assessment, as well as hazard mitigation studies.

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Section: Introductionmentioning

confidence: 99%

Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories

Emberson

Kirschbaum²,

Amatya³

et al. 2021

Preprint

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show abstract

“…Using different remote sensing methods allows quantitative assessments of several exogenous processes at different scales and qualitative levels. Landslide processes may have different appearances, and their assessment requires different approaches [80,81]. Each tool solves the problem differently.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Shoreline Transformation Rates and Landslide Monitoring on the Bank of Kuibyshev Reservoir (Russia) Using Multi-Source Data

et al. 2021

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This study focuses on the Kuibyshev reservoir (Volga River basin, Russia)—the largest in Eurasia and the third in the world by area (6150 km2). The objective of this paper is to quantitatively assess the dynamics of reservoir bank landslides and shoreline abrasion at active zones based on the integrated use of modern instrumental methods (i.e., terrestrial laser scanning—TLS, unmanned aerial vehicle—UAV, and a global navigation satellite system—GNSS) and GIS analysis of historical imagery. A methodology for the application of different methods of instrumental assessment of abrasion and landslide processes is developed. Different approaches are used to assess the intensity of landslide and abrasion processes: the specific volume and material loss index, the planar displacement of the bank scarp, and the planar-altitude analysis of displaced soil material based on the analysis of slope profiles. Historical shoreline position (1958, 1985, and 1987) was obtained from archival aerial photo data, whereas data for 1975, 1993, 2010, 2011, and 2012 were obtained from high-resolution satellite image interpretation. Field surveys of the geomorphic processes from 2002, 2003, 2005, 2006, 2014 were carried out using Trimble M3 and Trimble VX total stations; in 2012–2014 and 2019 TLS and UAV surveys were made, respectively. The monitoring of landslide processes showed that the rate of volumetric changes at Site 1 remained rather stable during the measurement period with net material losses of 0.03–0.04 m−3 m−2 yr−1. The most significant contribution to the average annual value of the material loss was snowmelt runoff. The landslide scarp retreat rate at Site 2 showed a steady decreasing trend, due to partial overgrowth of the landslide accumulation zone resulting in its relative stabilization. The average long-term landslide scarp retreat rate is—2.3 m yr−1. In 2019 earthworks for landscaping at this site have reduced the landslide intensity by more than 2.5 times to—0.84 m yr−1.

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“…Using different remote sensing methods allows quantitative assessments of several exogenous processes at different scales and qualitative levels. Landslide processes may have different appearances, and their assessment requires different approaches (Broeckx et al , 2019(Broeckx et al , , 2020. Each tool solves the problem differently.…”

Section: Discussionmentioning

confidence: 99%

Assessment of modern shoreline transformation rates on the banks of one of the largest reservoirs in the world (Kuibyshev reservoir, Russia) using instrumental methods

Op¹,

Usmanov²,

Gafurov³

et al. 2021

Preprint

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The study object is the Kuibyshev reservoir. The objective is to quantitatively assess reservoir bank landslides and shoreline abrasion in active zones based on the integrated use of modern instrumental methods. Different approaches are used to assess the intensity of landslide and abrasion processes: the specific volume and material loss index, the planar displacement of the bank scarp, and the planar-altitude analysis displacements of soil masses based on the analysis of slope profiles. Shoreline position for the past periods (1958, 1985, and 1987) was obtained from archival aerial photography data; data for 1975, 1993, 2010, 2011, and 2012 were obtained from high-resolution satellite image interpretation. Field surveys of these geomorphic processes at the study areas in 2002, 2003, 2005, 2006, 2014 were carried out using total stations; in 2012-2014 using terrestrial laser scanning and a UAV survey in 2019. The monitoring of landslide processes showed that the rate of volumetric changes at Site 1 remained rather stable during the measurement period with net material losses of 0.03-0.04 m3/m2/year. The most significant contribution to the average annual value of material loss was by snowmelt runoff. The landslide scarp retreat rate at Site 2 showed a steady decreasing trend, due to partial overgrowth of the landslide accumulation zone resulting in its relative stabilization. The average long-term landslide scarp retreat rate is 2.3 m/year. In recent years, landslide control measures realized at this site have reduced the landsliding intensity by more than 2.5 times to 0.84 m/year

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Landslide susceptibility and mobilization rates in the Mount Elgon region, Uganda

Cited by 39 publications

References 55 publications

Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories

Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories

Assessment of Shoreline Transformation Rates and Landslide Monitoring on the Bank of Kuibyshev Reservoir (Russia) Using Multi-Source Data

Assessment of modern shoreline transformation rates on the banks of one of the largest reservoirs in the world (Kuibyshev reservoir, Russia) using instrumental methods

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