Natural Disasters, When Will They Reach Me [Hardcover]

The expected time of impact, also known as the mean first passage time (MFPT) to reach failure, is a critical metric in the management of natural disasters. The complexity of the dynamics governing natural disasters lead to stochastic behaviour. This book shows that state transitions of many such systems translate into random walks on their respective state spaces, biased and shaped by environmental inhomogeneity. Thus the probabilistic treatment of those random walks gives valuable insights of expected behaviour. A comprehensive case study of predicting cyclone induced flood is followed by a discussion of generic methods that predict MFPT addressing directional bias. This is followed by discussing MFPT prediction methods in systems showing network inhomogeneity. All presented methods are illustrated using real datasets of natural disasters. The book ends with a short discussion of possible future research areas introducing the problem of predicting MFPT for bush-fire propagation.

The stochastic nature of disaster propagation.- Predicting Flood induced by cyclones.- How to forecast the spread of bushfires.- Propagation on a non-homogeneous media in the presence of bias.- Conclusion.

Isuri Wijesundera completed her PhD in engineering at the University of Melbourne in 2016 and received her BSc degree in Electronics and Telecommunication Engineering from the University of Moratuwa, Sri Lanka in 2007. She previously worked as a Telecommunications Engineer in Sri Lanka (2007-10) and is currently attached to the Big-Data unit at Telstra, Australia. Her recent work focused on a research concerning analytical methods to find Mean First Passage Time (MFPT) on directionally biased inhomogeneous media.  

Dr Malka N. Halgamuge is a Researcher in the Department of Electrical and Electronic Engineering of University of Melbourne. She obtained her PhD frl)