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Natural disasters, when will they re...

Wijesundera, Isuri.

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Natural disasters, when will they reach me?

Record Type:	Electronic resources : Monograph/item
Title/Author:	Natural disasters, when will they reach me?/ by Isuri Wijesundera ... [et al.].
other author:	Wijesundera, Isuri.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	xviii, 128 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Natural disasters - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-1113-9
ISBN:	9789811011139

Natural disasters, when will they reach me?
Natural disasters, when will they reach me?[electronic resource] /by Isuri Wijesundera ... [et al.]. - Singapore :Springer Singapore :2016. - xviii, 128 p. :ill. (some col.), digital ;24 cm. - Springer natural hazards,2365-0656. - Springer natural hazards..

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.

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.

ISBN: 9789811011139

Standard No.: 10.1007/978-981-10-1113-9doiSubjects--Topical Terms:

2054993
Natural disasters
--Statistical methods.

LC Class. No.: GB5014

Dewey Class. No.: 363.340727

Natural disasters, when will they reach me?
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245 0 0 $a Natural disasters, when will they reach me? $h [electronic resource] / $c by Isuri Wijesundera ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a xviii, 128 p. : $b ill. (some col.), digital ; $c 24 cm.
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 Natural disasters $x Statistical methods. $3 2054993
650 0 $a Natural disasters $x Forecasting. $3 707431
650 1 4 $a Earth Sciences. $3 642591
650 2 4 $a Natural Hazards. $3 1005730
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Environmental Monitoring/Analysis. $3 898903
650 2 4 $a Information Systems and Communication Service. $3 891044
650 2 4 $a Math. Appl. in Environmental Science. $3 891071
700 1 $a Wijesundera, Isuri. $3 2194951
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830 0 $a Springer natural hazards. $3 2088932
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-1113-9
950 $a Earth and Environmental Science (Springer-11646)