dc.contributor.advisor |
Gao, Jay |
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dc.contributor.author |
Chen, Ruigang (Simon) |
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dc.date.accessioned |
2022-05-22T23:57:44Z |
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dc.date.available |
2022-05-22T23:57:44Z |
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dc.date.issued |
2021 |
en |
dc.identifier.uri |
https://hdl.handle.net/2292/59427 |
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dc.description |
Full Text is available to authenticated members of The University of Auckland only. |
en |
dc.description.abstract |
This study aims to evaluate the geomorphological influences on earthquake-triggered landslides in Kaikōura in the mountainous upper South Island of New Zealand. Landslide-affected sites were initially mapped from two Sentinel-2 satellite images (before and after the Kaikōura earthquake) by using unsupervised classification. These two landslide maps (pre- and post-earthquake) were subsequently refined based on two high-resolution aerial photographs. The two refined landslide maps were overlaid in ArcGIS to identify the landslide-affected areas caused by the Kaikōura earthquake. The earthquake-triggered landslide map and the two landslide distribution maps were superimposed with four raster layers, including slope gradient, soil type, land use, and distance to fault line. These four layers were selected as the independent variables for statistical modelling. In addition, a Logistic Regression model was used to assess the spatial relationship between the four independent variables and the distribution of earthquake-triggered landslides, in order to quantify the geomorphological influences after the Kaikōura earthquake. At the end, a landslide susceptibility map was produced based on the model results. By comparing the landslide susceptibility map with the soil erosion data, this study summarised the changes of land stability caused by the earthquake and predicted the potential landslide hazard zone in the study area.
The landslide-affected areas increased from 474.05 ha before the Kaikōura earthquake to 1,656.40 ha after the earthquake. The distribution of earthquake-triggered landslides is positively correlated with the factor of slope gradient, but negatively with three other factors including distance to fault line, land use, and soil type. Among these four influencing factors, slope gradient, soil type, and distance to fault line are statistically significant to the landslide occurrence, while land use has no significant impact on landslide occurrence. The total area of very high level of landslide |
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dc.publisher |
ResearchSpace@Auckland |
en |
dc.relation.ispartof |
Masters Thesis - University of Auckland |
en |
dc.relation.isreferencedby |
UoA |
en |
dc.rights |
Restricted Item. Full Text is available to authenticated members of The University of Auckland only. |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. |
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dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ |
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dc.title |
GIS-based Assessment of Geomorphological Influences on Earthquake-triggered Landslides in Kaikōura |
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dc.type |
Thesis |
en |
thesis.degree.discipline |
Geography |
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thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Masters |
en |
dc.date.updated |
2022-05-03T08:32:58Z |
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dc.rights.holder |
Copyright: the author |
en |