University of Leeds Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
University College London Featured PhD Programmes
University of Reading Featured PhD Programmes

Landslide early warning: developing novel geophysical monitoring approaches to ‘see inside’ unstable slopes


Project Description

Slope instability is responsible for considerable social and economic harm. In the UK, impacts are principally economic, through damage and disruption to critical infrastructure (e.g. railways, flood defences, reservoir dams etc.), costing >£100 million annually. Further afield, in areas with high rainfall and mountainous conditions (e.g. South East Asia) impacts are considerably greater, including enormous loss of life. Conventional landslide investigation is still heavily reliant on point sensors, which provide insufficient spatial resolution in heterogeneous ground conditions, or surface observations (e.g. walkover, remote sensing), which can only identify the surface expression of failure, by which time it is often too late to take remedial action.

To better understand subsurface precursors to landslide events, considerable research efforts are going into developing geophysical imaging technologies for this application. They offer the potential to ‘see-inside’ unstable slopes to identify the processes leading to slope failure. Although proof-of-concept has been developed for several key techniques (e.g. geoelectrics, seismics), further work is required to translate geophysical observations into quantitative geotechnical information (e.g. moisture-content, pore-pressure) that can be used directly by engineers to manage landslide hazard. Our hypothesis is that suitably calibrated time-lapse geophysical models can enable quantitative assessments of subsurface moisture-driven processes at the spatial and temporal resolution required for landslide early-warning.

The specific aim of this project is to explore and improve the resolution and reliability of geophysical derived slope condition information to enable early warning of landslide events. It will involve developing cutting-edge geophysical approaches to address a very practical and pressing problem. The student will be embedded in a team of geophysicists, hydrogeologists and engineers across BGS, Lancaster University and our industrial partner Socotec. The student will work on landslides in the UK, India and Canada, and will have the opportunity to access specialist training in landslide hazard assessment and management.

Applicants should have strong numerical abilities and hold a minimum of a UK Honours Degree at 2:1 level or equivalent in subjects such as Earth Science, Physics, Engineering, Environmental Science, Natural Sciences.

For further details please contact Prof Jonathan Chambers () or Prof Andy Binley ().

Funding Notes

The studentship is only available to applicants from the UK and EU.

Each student will be supported by the tax-free stipend (£15,009 in 2019/20), typically for 3.5 years. In addition, for eligible students, the award will cover EU/UK fees

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.