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[null,"1.","Record Nr.",null,"UNINA9910254122803321"]
[null,null,"Autore",null,"Wijesundera Isuri"]
[null,null,"Titolo",null,"Natural Disasters, When Will They Reach Me? / / by Isuri Wijesundera, Malka N. Halgamuge, Thrishantha Nanayakkara, Thas Nirmalathas"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"981-10-1113-3"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (143 p.)"]
[null,null,"Collana",null,"Springer Natural Hazards, , 2365-0656"]
[null,null,"Disciplina",null,"363.349"]
[null,null,"Soggetti",null,"Natural disasters"]
[{"$nulls":4},"Computer simulation"]
[{"$nulls":4},"Environmental monitoring"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Environmental sciences"]
[{"$nulls":4},"Natural Hazards"]
[{"$nulls":4},"Simulation and Modeling"]
[{"$nulls":4},"Monitoring/Environmental Analysis"]
[{"$nulls":4},"Information Systems and Communication Service"]
[{"$nulls":4},"Math. Appl. in Environmental Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"The stochastic nature of disaster propagation -- Predicting Flood induced by cyclones -- How to forecast the spread of bushfires -- Propagation on a non-homogeneous media in the presence of bias -- Conclusion."]
[null,null,null,"Sommario/riassunto","The expected time of impact, also known as the mean first passage time (MFPT) to reach failure, is a critical metric in the management of natural disasters. The complexity of the dynamics governing natural disasters lead to stochastic behaviour. This book shows that state transitions of many such systems translate into random walks on their respective state spaces, biased and shaped by environmental inhomogeneity. Thus the probabilistic treatment of those random walks gives valuable insights of expected behaviour. A comprehensive case study of predicting cyclone induced flood is followed by a discussion of generic methods that predict MFPT addressing directional bias. This is followed by discussing MFPT prediction methods in systems showing "]
[{"$nulls":4},"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."]