Multivariate skew-t approach to the design of accumulation risk scenarios for the flooding hazard

Advances in Water Resources

Volumn 33, Issue 10, 2010, Pages 1243-1255

  Ghizzoni, Tatiana ^a   Roth, Giorgio ^b   Rudari, Roberto ^c  

^a Munich Re   (Germany)

^b UNIVERSITY OF GENOA   (Italy)

^c CIMA   (Italy)

Author keywords

Cross entropy; Flood risk management; Flood scenarios; Multivariate processes; Skew t distribution

Indexed keywords

ANALYTICAL DESCRIPTION; ANALYTICAL EXPRESSIONS; CIVIL PROTECTION; CONTRIBUTING AREAS; COPULA FUNCTIONS; CORRELATION STRUCTURE; CROSS ENTROPY; DAILY DISCHARGE; DATA SETS; EXTREMAL; FLOOD EVENT; FLOOD HAZARDS; FLOOD RISK MANAGEMENT; GAUGING STATIONS; INSURANCE COMPANIES; JOINT BEHAVIOR; JOINT PROBABILITY; MARGINAL DISTRIBUTION; MINIMUM CROSS ENTROPY; MITIGATION STRATEGY; MULTI-SITE; MULTIVARIATE PROCESS; MULTIVARIATE PROCESSES; MULTIVARIATE SIMULATIONS; RETURN PERIODS; RISK SCENARIOS; STATE OF THE ART; T DISTRIBUTION; TAIL DEPENDENCE; TIME-PERIODS; TRIVARIATE;

CORRELATION THEORY; ENTROPY; FLOOD CONTROL; INSURANCE; PROBABILITY DISTRIBUTIONS; RISK ANALYSIS; RISK MANAGEMENT; RISK PERCEPTION;

FLOODS;

ANALYTICAL METHOD; DATA SET; ESTIMATION METHOD; FLOOD; HAZARD ASSESSMENT; MAXIMUM LIKELIHOOD ANALYSIS; PROBABILITY; SIMULATION;

ITALY; PIEDMONT [ITALY]; TANARO RIVER;

EID: 78049271756     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2010.08.003     Document Type: Article

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