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Conclusion
The
goals of this project have been succesfully achieved. An analysis of
the landslide susceptibilty along the Sea to Sky Highway has been completed
using slope stability conditions, and a coupled slope and hydrological
model developed by Montgomery and Dietrich (1994). Landslide susceptibility
maps have been produced, including an overall map showing landslide
susceptibility from Horseshoe Bay to Squamish, as well as closeups of
the Porteau, Lions Bay, and Britannia Beach areas. Animations of the
effects of increased steady state rainfall on slope stability for varied
friction angles were produced, and three dimensional visualizations
of landslide susceptibility, including two animations have been created.
Overall, the results
of this project provide a good first approximation for an overview of
landslide susceptibility, but careful attention needs to be paid to
the interpretation of the critical precipitation values, given the complexities
of hydrology. The estimated precipitation intensity is an index of potential
landslide susceptibility, but given the hydrological complexities of
the area, they require careful interpretation for meaningful results.
However, most landslides will be initiated during high intensity, rare
storm events, so the approach taken in this project is sufficient as
a first approximation. Additional field based studies would need to
be conducted to supplement the model for more accurate interpretations
of landslide susceptibility.
The
study area has steep slopes and thin soils, and Montgomery and Dietrich
(1994) indicate that the model performs very well in this sort of terrain.
The results obtained from this project appear to be consistent with
historical landslide occurences along the Sea to Sky Highway, as well
as with the location of existing landslide defenses. While there is
a large amount of uncertainty in the accuracy of the results of this
project, largely because of the many assumed parameters, the methods
used in this project have been shown to provide a simple way of modelling
landslide susceptibility over relatively large areas with minimal amounts
of data.
Acknowledgements
We
would like to thank the following people for their assistance in this
project:
Dr.
Brett Eaton, Instructor of Hillslope Geomorphology, UBC;
Dr.
Brian Klinkenberg, Instructor of Advanced Issues in GIS, UBC;
Jeff Phillips, Teaching
Assistant for Advanced Issues in GIS, UBC;
and
a big thanks to Jose Aparicio for the many hours of help in the computer
labs.
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