PhD ThesisSubaerial and subaqueous landslides are a significant hazard in intramountainous lake and fjord
landscapes across the globe. Landslides into, and within, the lakes and fjords can generate
tsunamis that present a risk to shoreline communities and infrastructure. Understanding the
landslide and associated hazard cascade (e.g. landslide tsunamis) is reliant on both identification
of deposits to assess their magnitude-frequency relationship, and detailed analysis of the
deposits, which can provide information on the landslide’s emplacement dynamics. This thesis
aims to better understand the distribution and dynamics of landslides within lakes and fjords in
the seismically active, high-mountain landscape of the South Island, New Zealand, to improve
the understanding of the hazard. Despite the similar physiographic setting to many global
counterparts (e.g. Norway, European Alps, western Canada, Patagonia), there have only been
a few studies to quantify the hazard from landslides into and within lakes and fjords of New
Zealand, compared to the subaerial landslide hazard. Previous research suggests that the lakes
and fjords of New Zealand may provide a well-preserved archive of previously unknown
landslide deposits.
A new literature-based inventory of lakes and fjords with known landslides is presented within
this thesis. In total, 15 lakes and 5 fjords were identified as having documented landslide events.
The lakes and fjords contain a variety of landslide types; including subaerial originating (n=7),
deltaic landslides (n=4), and mass-transport deposits, assumed to have originated from the
subaqueous slopes (n=7). Previous bathymetric data investigations in Lake Tekapo and Milford
Sound/Piopiotahi reveal deposits from multiple sources. Earthquakes are the main trigger, with
9 cases related to known earthquakes. Earthquakes are assumed to be the trigger in 5 further
lakes and fjords. In Milford Sound/Piopiotahi, morphological and morphometric analysis, and
numerical modelling by DAN3D of previously identified deposits from high-resolution
bathymetric data indicate that the landslides exhibit a variety of morphologies, morphometries,
and generally low apparent mobility. Factors such as transitioning from air to water, abrupt
slope angle changes from the steep fjord walls to flat basin wall, and lack of lateral confinement
resulting in freely spreading deposits appear to contribute to the apparent low mobility.
Furthermore, the best fit numerical simulations required high basal friction angles, and/or low
turbulence parameters to retard the landslide runout The modelling results also found a Voellmy
rheology to be effective in simulating the subaqueous portion of landslide runout, as varying
the velocity-dependent turbulence coefficient parameter could represent the resistance to flow
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by the water, in contrast to the frictional rheology where resistance is governed only by basal
friction angle.
In Lake Wānaka, newly collected bathymetric and sub-bottom data reveal comparatively few
deposits on the lakebed (n=17), in contrast to the large number of subaerial deposits mapped
and identified within the terrestrial catchment in this thesis (n=202). Limited subsurface
penetration precludes identifying more deposits within the lake infill. Sub-bottom data do reveal
that some of the visible deposits within the lake are draped by lake sediments, obscuring their
true thicknesses. Therefore, burial of deposits may be obscuring the total number of deposits
within the lake basin. The research presented within this thesis builds a proposed conceptual
model for landslide distributions in New Zealand lakes and fjords. Landslides may occur more
frequently in areas of frequent and strong seismicity. In contrast, regions with low frequency
seismicity will likely trigger fewer landslides into, and within the subaqueous basins less often.
Variations in sedimentation rates within the lakes and fjords control how long deposits will be
visible on the basin floors for. Furthermore, the newly identified deposits, and quantitative
insights into the landslide emplacement dynamics provide information that can be taken
forward to assess tsunami hazard, which may present the greatest risk to shoreline communities
and infrastructure around New Zealand lakes and fjords.Iapetus Natural Environment Research Council Doctoral Training
Partnership, and my CASE Partner, the British Geological Survey University Funding Initiative
PhD studentshi
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