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Comparison of approaches for estimating the probability of coastal flooding.

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Comparison of approaches for estimating the probability of coastal flooding. / Bruun, J. T.; Tawn, Jonathan A.
In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 47, No. 3, 1998, p. 405-423.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Bruun, JT & Tawn, JA 1998, 'Comparison of approaches for estimating the probability of coastal flooding.', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 47, no. 3, pp. 405-423. https://doi.org/10.1111/1467-9876.00118

APA

Bruun, J. T., & Tawn, J. A. (1998). Comparison of approaches for estimating the probability of coastal flooding. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47(3), 405-423. https://doi.org/10.1111/1467-9876.00118

Vancouver

Bruun JT, Tawn JA. Comparison of approaches for estimating the probability of coastal flooding. Journal of the Royal Statistical Society: Series C (Applied Statistics). 1998;47(3):405-423. doi: 10.1111/1467-9876.00118

Author

Bruun, J. T. ; Tawn, Jonathan A. / Comparison of approaches for estimating the probability of coastal flooding. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 1998 ; Vol. 47, No. 3. pp. 405-423.

Bibtex

@article{6a9df58c3c5e4924a9126ee7f934f74e,
title = "Comparison of approaches for estimating the probability of coastal flooding.",
abstract = "Coastal flooding is typically caused by combinations of extreme water-levels and large waves. Two extreme value methods, one univariate and the other multivariate, have been used for estimating the probability of coastal flooding at an existing flood defence structure and for aiding the design of a new structure. The properties of these two methods are compared in terms of extrapolation, sophistication and use of information for a range of extremal dependence structures. We find that, when applied to the assessment of the safety offered by an existing Dutch dike, the multivariate approach provides the more useful and accurate design information and has the substantial benefits of consistency and reduced statistical analysis when applied to several sites along a Dutch coastline.",
keywords = "Coefficient of tail dependence • Extreme value theory • Generalized extreme value distribution • Joint probability method • Sea-levels • Structure variable method • Waves",
author = "Bruun, {J. T.} and Tawn, {Jonathan A.}",
year = "1998",
doi = "10.1111/1467-9876.00118",
language = "English",
volume = "47",
pages = "405--423",
journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Comparison of approaches for estimating the probability of coastal flooding.

AU - Bruun, J. T.

AU - Tawn, Jonathan A.

PY - 1998

Y1 - 1998

N2 - Coastal flooding is typically caused by combinations of extreme water-levels and large waves. Two extreme value methods, one univariate and the other multivariate, have been used for estimating the probability of coastal flooding at an existing flood defence structure and for aiding the design of a new structure. The properties of these two methods are compared in terms of extrapolation, sophistication and use of information for a range of extremal dependence structures. We find that, when applied to the assessment of the safety offered by an existing Dutch dike, the multivariate approach provides the more useful and accurate design information and has the substantial benefits of consistency and reduced statistical analysis when applied to several sites along a Dutch coastline.

AB - Coastal flooding is typically caused by combinations of extreme water-levels and large waves. Two extreme value methods, one univariate and the other multivariate, have been used for estimating the probability of coastal flooding at an existing flood defence structure and for aiding the design of a new structure. The properties of these two methods are compared in terms of extrapolation, sophistication and use of information for a range of extremal dependence structures. We find that, when applied to the assessment of the safety offered by an existing Dutch dike, the multivariate approach provides the more useful and accurate design information and has the substantial benefits of consistency and reduced statistical analysis when applied to several sites along a Dutch coastline.

KW - Coefficient of tail dependence • Extreme value theory • Generalized extreme value distribution • Joint probability method • Sea-levels • Structure variable method • Waves

U2 - 10.1111/1467-9876.00118

DO - 10.1111/1467-9876.00118

M3 - Journal article

VL - 47

SP - 405

EP - 423

JO - Journal of the Royal Statistical Society: Series C (Applied Statistics)

JF - Journal of the Royal Statistical Society: Series C (Applied Statistics)

SN - 0035-9254

IS - 3

ER -