C3 Soil slope stabilization

Hearn, G. J.; Hunt, Thomas R.; D’Agostino, Salvatore

doi:10.1144/egsp24.12

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…Furthermore, rotational slip surfaces are common in cohesive fine-grained soils, particularly where slopes are over-steepened or undercut by excavation (Hearn et al 2011). The weathered blue-grey clayey SILT layer found at the base of BH3 provides a possible shear surface, allowing sliding and rotation.…”

Section: Materials Propertiesmentioning

confidence: 99%

“…A contrast in permeability between weathered clayey SILT and an impermeable Tolaga Group mudstone layer below would increase the pore water pressure in the overlying soils. However, a more detailed ground investigation and modelling are required to more clearly delineate the shear surface(s) depth and extent (Hearn et al 2011).…”

Section: Materials Propertiesmentioning

confidence: 99%

“…Another important factor is slope morphology, with the stepped morphology, steep angle and slope excavations conducive to shallow rotational movement (e.g. Hearn et al 2011).…”

Section: Slope Failure Processesmentioning

confidence: 99%

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Engineering geomorphological and InSAR investigation of an urban landslide, Gisborne, New Zealand

et al. 2022

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The East Coast region of New Zealand has some of the highest erosion rates in the world, due to its proximity to an active plate boundary, susceptibility to high-intensity storms and steep terrain underlain by young soft sedimentary rock and soil. In the city of Gisborne, expansion of residential blocks into steeper terrain in peri-urban areas has required improved capacity for the characterisation and monitoring of slope stability. Landslides have affected several properties and have destroyed infrastructure. Slope failure commonly occurs during heavy rainfall events when slow-moving retrogressive slides transition into earthflows and mudflows. In this study, we used in situ sampling and testing methods combined with remote sensing techniques to provide an understanding of the pre-failure and post-failure behaviour of an urban landslide in Gisborne. High-resolution aerial imagery, unmanned aerial vehicle imagery and light detection and ranging data revealed slope morphology and contours of prehistoric failures in the area, and highlighted the more recent impacts of deforestation on slope stability. Furthermore, Sentinel-1 InSAR analysis determined that gradual deformation began in 2017, following two ex-tropical cyclone events. Deformation downslope continued until an initial failure in July 2020. Following that event, some parts of the slope proceeded to accelerate, leading to a further reactivation event in November 2021, following heavy rainfall. During this November 2021 event, average line of sight velocities ranged from −7.9 to −11.2 mm/year, and deformation rates in the vertical direction (related to rotational slumping) averaged −11.2 to −11.9 mm/year, consistent with field observations.

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Section: Materials Propertiesmentioning

confidence: 99%

Section: Materials Propertiesmentioning

confidence: 99%

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Engineering geomorphological and InSAR investigation of an urban landslide, Gisborne, New Zealand

et al. 2022

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“…1.2; e.g., Blaschke et al 2000;Geertsema et al 2009). A second main driver of landslide costs, as case studies indicate (e.g., Cornforth 2005;Hearn et al 2011;Highland 2012), are the types and methods of post-disaster mitigation, whereas a correlation between direct costs and the damage to or the value of elements at risk is often hard to find (cf. Sect.…”

Section: Supervisor's Forewordmentioning

confidence: 99%

“…As a result of strongly variable landslide distribution patterns and the complexity in landslide process mechanisms, the identification, tracking, and documentation of past landslide losses is difficult, which constitutes a crucial problem for cost surveys (see also Highland 2006). Alternatively, case studies show that the costs of landslide damage are rather dependent on the type of landslide repair or mitigation than on the value at risk (e.g., Cornforth 2005;Hearn et al 2011;Highland 2012;, as assumed in quantitative risk analysis (e.g., Lee and Jones 2004). To improve availability and reliability of landslide loss data, the existing methods of cost assessment need to be optimized to these characteristic features of landslide impact, but this is poorly realized so far (cf.…”

Section: General Overviewmentioning

confidence: 99%