Loading...
Presentation Type
Oral Presentation
Subjects
Landslides -- Pacific Northwest, Mountain hydrology -- Remote sensing, Hydrology, Soil moisture
Advisor
Adam Booth
Student Level
Undergraduate
Abstract
The Pacific Northwest experiences many landslides due to its climate. Remotely sensed data offers new ways to study how hydrologic variables such as precipitation, surface soil moisture (SSM), and pore-water pressure within a landslide behave and respond to changes in each other. The goal of this study is to find meaningful relationships between these variables such that in the future remotely sensed data alone will be able to provide meaningful insights for PNW landslide regions, which may lack on-site data monitoring. To examine these relationships at the Silt Creek Landslide in the western Oregon Cascades, a time-series graph for each variable was produced for precipitation and SSM over four water years, and over eight consecutive months for pore pressure. SSM data was remotely sensed via satellite, pore pressure data was collected through a borehole within the landslide, and precipitation data was downloaded from an on-site station. Analysis of the hydrological variables revealed a lag time of 1 day between precipitation initiation and SSM response and a lag time of 6-11 days for peak pore pressure responses. SSM was shown to follow a predictable growth pattern at the start of each wet season and then maintain a maximum value until the dry season. The relationship between pore pressure and SSM was found to be strongly correlated for drying periods. If the Silt Creek Landslide reactivates in the future, this remotely sensed hydrologic data will serve as a guide to predicting displacement timings for this study site based on pore pressure predictions.
Please provide feedback here:
https://docs.google.com/forms/d/e/1FAIpQLSdTDOpjdyRDsuOETPsZoSl1qmjM74kflvrGAJZo1F6WnDjOww/viewform?usp=sf_link
Rights
© Copyright the author(s)
IN COPYRIGHT:
http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DISCLAIMER:
The purpose of this statement is to help the public understand how this Item may be used. When there is a (non-standard) License or contract that governs re-use of the associated Item, this statement only summarizes the effects of some of its terms. It is not a License, and should not be used to license your Work. To license your own Work, use a License offered at https://creativecommons.org/
Persistent Identifier
https://archives.pdx.edu/ds/psu/35442
transcript
UG_thesis_presentation.pptx (23521 kB)
powerpoint presentation
Precipitation, Surface Soil Moisture, and Pore Pressure: Relationships and Response Times
The Pacific Northwest experiences many landslides due to its climate. Remotely sensed data offers new ways to study how hydrologic variables such as precipitation, surface soil moisture (SSM), and pore-water pressure within a landslide behave and respond to changes in each other. The goal of this study is to find meaningful relationships between these variables such that in the future remotely sensed data alone will be able to provide meaningful insights for PNW landslide regions, which may lack on-site data monitoring. To examine these relationships at the Silt Creek Landslide in the western Oregon Cascades, a time-series graph for each variable was produced for precipitation and SSM over four water years, and over eight consecutive months for pore pressure. SSM data was remotely sensed via satellite, pore pressure data was collected through a borehole within the landslide, and precipitation data was downloaded from an on-site station. Analysis of the hydrological variables revealed a lag time of 1 day between precipitation initiation and SSM response and a lag time of 6-11 days for peak pore pressure responses. SSM was shown to follow a predictable growth pattern at the start of each wet season and then maintain a maximum value until the dry season. The relationship between pore pressure and SSM was found to be strongly correlated for drying periods. If the Silt Creek Landslide reactivates in the future, this remotely sensed hydrologic data will serve as a guide to predicting displacement timings for this study site based on pore pressure predictions.
Please provide feedback here:
https://docs.google.com/forms/d/e/1FAIpQLSdTDOpjdyRDsuOETPsZoSl1qmjM74kflvrGAJZo1F6WnDjOww/viewform?usp=sf_link