Geophysical flow dynamics using pulsed Doppler radar
Lead Research Organisation:
University of Leeds
Department Name: Sch of Geography
Abstract
Mass movement flows are a significant natural hazard throughout the world and yet our ability to predict their behaviour and plan for their effects is limited, in part, by our lack of understanding of their flow dynamics. This research will investigate the dynamics of geophysical mass movement flow processes (specifically snow avalanches and pyroclastic flows) by means of carefully-controlled trials at avalanche and volcano test sites. This research will utilise a sophisticated and new Doppler radar imaging instrument, able to form two-dimensional animated images of a variety of geophysical events. This radar has been under development at University College London, supported by the Royal Society, and permits imaging of the dense parts of the flow (often the most important component for risk analyses) by penetrating the suspended matter surrounding snow avalanches and pyroclastic flows. Advanced signal processing algorithms will be used to generate detailed models of the structure and dynamics of the flow. At present, opto-electronic instruments can provide such information at a single point and existing Doppler radar can provide crude images of the flow speed, but averaged over 50 m and only giving an overall measure of the velocity magnitude (with no information on direction). Our instrument will reduce the averaging distance to just 1 m so that, for the first time, information on individual blocks in the flow can be obtained and assessed in relation to their significance for the overall flow dynamics. Thus, we can assess the validity of a variety of flow laws that have been proposed for describing such processes. This will lead to improved models for these flow processes by limiting the values of coefficient in the models to reasonable values and rejecting some proposed flow laws outright. This will lead to more accurate modelling of these processes, which in turn will improve risk analyses and the design of defensive structures. This study will therefore considerably increase our understanding of flow movement and raise the status of UK research in this area to internationally-leading standards.
Publications

Brennan PV, Ash M, Isa FM, Keylock C, McElwaine J
(2009)
GES'09: PROCEEDINGS OF THE 3RD IASME/WSEAS INTERNATIONAL CONFERENCE ON RECENT AND GEOLOGY AND SEISMOLOGY

Keylock C
(2018)
Gradual multifractal reconstruction of time-series: Formulation of the method and an application to the coupling between stock market indices and their Hölder exponents
in Physica D: Nonlinear Phenomena

Keylock C
(2010)
Characterizing the structure of nonlinear systems using gradual wavelet reconstruction
in Nonlinear Processes in Geophysics

Keylock C
(2013)
The influence of migrating bed forms on the velocity-intermittency structure of turbulent flow over a gravel bed BED FORMS AND TURBULENCE STRUCTURE
in Geophysical Research Letters

Keylock C
(2014)
Robust classification for the joint velocity-intermittency structure of turbulent flow over fixed and mobile bedforms
in Earth Surface Processes and Landforms

Keylock, C.
(2014)
Measuring avalanches to manage risk

Matthew Ash (Author)
(2011)
FMCW Phased Array Radar for Automatically Triggered Measurements of Snow Avalanches

Vriend N
(2013)
High-resolution radar measurements of snow avalanches RADAR MEASUREMENTS OF SNOW AVALANCHES
in Geophysical Research Letters
Related Projects
Project Reference | Relationship | Related To | Start | End | Award Value |
---|---|---|---|---|---|
NE/F00415X/1 | 31/05/2008 | 30/09/2010 | £21,534 | ||
NE/F00415X/2 | Transfer | NE/F00415X/1 | 30/09/2010 | 31/12/2011 | £6,131 |
Description | Advanced MIMO Radar Development for Geophysical Imaging Applications |
Amount | £36,000 (GBP) |
Funding ID | EP/K007688/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2013 |
End | 01/2016 |
Title | Gradual Wavelet Reconstruction |
Description | This method permits controlled randomisation of time series for studying their nonlinear characteristics. It is wavelet-based and extends previous Fourier-based methods. |
Type Of Material | Data analysis technique |
Year Produced | 2014 |
Provided To Others? | Yes |
Impact | There have now been applications of this method in hydrology and fluid mechanics, with more being developed in neuroscience. |
Description | SLF collaboration |
Organisation | Swiss Federal Institute for Forest, Snow and Landscape Research |
Department | WSL Institute for Snow and Avalanche Research SLF |
Country | Switzerland |
Sector | Academic/University |
PI Contribution | We have developed and tested the radar for measuring snow avalanche dynamics. We have travelled to the site to make measurements. |
Collaborator Contribution | Swiss colleagues have helped install the instruments on their site (which is difficult to access) and helped install appropriate power and data recording facilities |
Impact | We have published papers together (reported elsewhere) and developed a stand for the Royal Society Summer Science Exhibition. |
Start Year | 2008 |
Description | RoyalSociety Summer Science Exhibition |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | Yes |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Active discussion with many members of the public and a large number of website hits. Discussion with policy makers (both Houses) at the evening soiree. A video from our work featured on ITN News at Ten when avalanche fatalities occurred in the following week. |
Year(s) Of Engagement Activity | 2012 |
URL | http://sse.royalsociety.org/2012/exhibits/avalanche-radar/ |