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Titolo:
Hailstorm loss modelling and risk assessment in the Sydney region, Australia
Autore:
Leigh, R; Kuhnel, I;
Indirizzi:
Macquarie Univ, Nat Hazards Res Ctr, Sydney, NSW 2109, Australia MacquarieUniv Sydney NSW Australia 2109 Ctr, Sydney, NSW 2109, Australia
Titolo Testata:
NATURAL HAZARDS
fascicolo: 2, volume: 24, anno: 2001,
pagine: 171 - 185
SICI:
0921-030X(2001)24:2<171:HLMARA>2.0.ZU;2-R
Fonte:
ISI
Lingua:
ENG
Soggetto:
SOUTHERN OSCILLATION; EL-NINO;
Keywords:
hailstorms; databases; ENSO; loss-modelling; southeastern Australia; insurance;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
20
Recensione:
Indirizzi per estratti:
Indirizzo: Leigh, R Macquarie Univ, Nat Hazards Res Ctr, Sydney, NSW 2109, Australia Macquarie Univ Sydney NSW Australia 2109 ey, NSW 2109, Australia
Citazione:
R. Leigh e I. Kuhnel, "Hailstorm loss modelling and risk assessment in the Sydney region, Australia", NAT HAZARDS, 24(2), 2001, pp. 171-185

Abstract

This paper summarises work undertaken at the Natural Hazards Research Centre with regard to the compilation, climatological analysis and loss modelling application of hailstorm data for the greater Sydney region. It discusses the results from two associated research areas: ENSO-related climatological analysis of hailstorm data, and insurance sector oriented risk assessment of hail losses in the Sydney basin. The two complementary projects led tothe development of HailAUS, the first hail loss model for a major urban area in Australia. The hazard occurrence module of the hail loss model is based on a comprehensive, good quality hail data set, whose interannual variability has previously been analysed with regard to the ENSO signal. The paper presents the major results of the local hail data climatology, and outlines the structure of the hail loss model. The important practical applications that result from the collection and analysis of good quality climatological data are noted.

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Documento generato il 28/11/20 alle ore 18:22:34