Spatial risk assessment for extreme river flows

Keef, Caroline and Tawn, Jonathan and Svensson, Cecilia (2009) Spatial risk assessment for extreme river flows. Journal of the Royal Statistical Society. Series C: Applied Statistics, 58 (5). pp. 601-618. ISSN 0035-9254

Full text not available from this repository.

Abstract

The UK has in recent years experienced a series of fluvial flooding events which have simultaneously affected communities over different parts of the country. For the co-ordination of flood mitigation activities and for the insurance and reinsurance industries, knowledge of the spatial characteristics of fluvial flooding is important. Past research into the spatiotemporal risk of fluvial flooding has largely been restricted to empirical estimates of risk measures. A weakness with such an approach is that there is no basis for extrapolation of these estimates to rarer events, which is required as empirical evidence suggests that larger events tend to be more localized in space. We adopt a model-based approach using the methods of Heffernan and Tawn. However, the large proportion of missing data over a network of sites makes direct application of this method highly inefficient. We therefore propose an extension of the Heffernan and Tawn method which accounts for missing values. Furthermore, as the risk measures are spatiotemporal an extension of the Heffernan and Tawn method is also required to handle temporal dependence. We illustrate the benefits of the procedure with a simulation study and by assessing spatial dependence over four fluvial sites in Scotland.

Item Type:
Journal Article
Journal or Publication Title:
Journal of the Royal Statistical Society. Series C: Applied Statistics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
?? extreme value theorymissing datamultivariate extreme valuesriver flowsspatial risk assessmentspatiotemporal extremal dependencestatistics and probabilitystatistics, probability and uncertainty ??
ID Code:
177750
Deposited By:
Deposited On:
18 Oct 2022 10:50
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 23:11