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).