Journal article
A data-driven complex systems approach to early prediction of landslides
Antoinette Tordesillas, Zongzheng Zhou, Robin Batterham
MECHANICS RESEARCH COMMUNICATIONS | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2018
Abstract
Landslides are a common natural disaster that claims countless lives and causes huge devastation to infrastructure and the environment. The recent spate of landslides worldwide has prompted renewed calls for better forecasting methods which could boost the performance of early warning systems in real time. Although the variety, volume and precision of monitoring data have steadily increased, methods for analysing such data sets for landslide prediction have not kept pace with the rapid advances in complex systems data analytics and micromechanics of granular failure. Here we help close this gap by developing a new model to analyse kinematic data using complex networks. Like no other, our mod..
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Grants
Awarded by US Air Force
Awarded by Australian Research Council
Awarded by US Army Research Office
Funding Acknowledgements
This work was supported by the US Air Force (AFOSR 15IOA059), the Australian Research Council (DP120104759) and the US Army Research Office (W911NF-11-1-0175).