Natural Disasters, When Will They Reach Me?

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 sy...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Wijesundera, Isuri (Συγγραφέας), Halgamuge, Malka N. (Συγγραφέας), Nanayakkara, Thrishantha (Συγγραφέας), Nirmalathas, Thas (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
Σειρά:Springer Natural Hazards,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Wijesundera, Isuri.  |e author. 
245 1 0 |a Natural Disasters, When Will They Reach Me?  |h [electronic resource] /  |c by Isuri Wijesundera, Malka N. Halgamuge, Thrishantha Nanayakkara, Thas Nirmalathas. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2016. 
300 |a XVIII, 128 p. 46 illus., 37 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Springer Natural Hazards,  |x 2365-0656 
505 0 |a 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. 
520 |a 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. 
650 0 |a Earth sciences. 
650 0 |a Natural disasters. 
650 0 |a Computers. 
650 0 |a Computer simulation. 
650 0 |a Environmental sciences. 
650 1 4 |a Earth Sciences. 
650 2 4 |a Natural Hazards. 
650 2 4 |a Simulation and Modeling. 
650 2 4 |a Environmental Monitoring/Analysis. 
650 2 4 |a Information Systems and Communication Service. 
650 2 4 |a Math. Appl. in Environmental Science. 
700 1 |a Halgamuge, Malka N.  |e author. 
700 1 |a Nanayakkara, Thrishantha.  |e author. 
700 1 |a Nirmalathas, Thas.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811011115 
830 0 |a Springer Natural Hazards,  |x 2365-0656 
856 4 0 |u http://dx.doi.org/10.1007/978-981-10-1113-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-EES 
950 |a Earth and Environmental Science (Springer-11646)