Verification of flood damage modelling using insurance data

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Verification of flood damage modelling using insurance data. / Zhou, Q.; Panduro, Toke Emil; Thorsen, Bo Jellesmark; Arnbjerg-Nielsen, Karsten.

In: Water Science and Technology, Vol. 68, No. 2, 2013, p. 425–432.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Zhou, Q, Panduro, TE, Thorsen, BJ & Arnbjerg-Nielsen, K 2013, 'Verification of flood damage modelling using insurance data', Water Science and Technology, vol. 68, no. 2, pp. 425–432. https://doi.org/10.2166/wst.2013.268

APA

Zhou, Q., Panduro, T. E., Thorsen, B. J., & Arnbjerg-Nielsen, K. (2013). Verification of flood damage modelling using insurance data. Water Science and Technology, 68(2), 425–432. https://doi.org/10.2166/wst.2013.268

Vancouver

Zhou Q, Panduro TE, Thorsen BJ, Arnbjerg-Nielsen K. Verification of flood damage modelling using insurance data. Water Science and Technology. 2013;68(2):425–432. https://doi.org/10.2166/wst.2013.268

Author

Zhou, Q. ; Panduro, Toke Emil ; Thorsen, Bo Jellesmark ; Arnbjerg-Nielsen, Karsten. / Verification of flood damage modelling using insurance data. In: Water Science and Technology. 2013 ; Vol. 68, No. 2. pp. 425–432.

Bibtex

@article{e0791a1342f6483ca3a3132bcd18c29b,
title = "Verification of flood damage modelling using insurance data",
abstract = "This paper presents the results of an analysis using insurance data for damage description and risk model verification, based on data from a Danish case. The results show that simple, local statistics of rainfall are not able to describe the variation in individual cost per claim, but are, however, feasible for modelling the overall cost per day. The study also shows that in combining the insurance and regional data it is possible to establish clear relationships between occurrences of claims and hazard maps. In particular, the results indicate that with improvements to data collection and analysis, improved prediction of damage costs will be possible, for example based also on socioeconomic variables. Furthermore, the paper concludes that more collaboration between scientific research and insurance agencies is needed to improve inundation modelling and economic assessments for urban drainage designs.",
author = "Q. Zhou and Panduro, {Toke Emil} and Thorsen, {Bo Jellesmark} and Karsten Arnbjerg-Nielsen",
year = "2013",
doi = "10.2166/wst.2013.268",
language = "English",
volume = "68",
pages = "425–432",
journal = "Water Science and Technology",
issn = "0273-1223",
publisher = "I W A Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Verification of flood damage modelling using insurance data

AU - Zhou, Q.

AU - Panduro, Toke Emil

AU - Thorsen, Bo Jellesmark

AU - Arnbjerg-Nielsen, Karsten

PY - 2013

Y1 - 2013

N2 - This paper presents the results of an analysis using insurance data for damage description and risk model verification, based on data from a Danish case. The results show that simple, local statistics of rainfall are not able to describe the variation in individual cost per claim, but are, however, feasible for modelling the overall cost per day. The study also shows that in combining the insurance and regional data it is possible to establish clear relationships between occurrences of claims and hazard maps. In particular, the results indicate that with improvements to data collection and analysis, improved prediction of damage costs will be possible, for example based also on socioeconomic variables. Furthermore, the paper concludes that more collaboration between scientific research and insurance agencies is needed to improve inundation modelling and economic assessments for urban drainage designs.

AB - This paper presents the results of an analysis using insurance data for damage description and risk model verification, based on data from a Danish case. The results show that simple, local statistics of rainfall are not able to describe the variation in individual cost per claim, but are, however, feasible for modelling the overall cost per day. The study also shows that in combining the insurance and regional data it is possible to establish clear relationships between occurrences of claims and hazard maps. In particular, the results indicate that with improvements to data collection and analysis, improved prediction of damage costs will be possible, for example based also on socioeconomic variables. Furthermore, the paper concludes that more collaboration between scientific research and insurance agencies is needed to improve inundation modelling and economic assessments for urban drainage designs.

U2 - 10.2166/wst.2013.268

DO - 10.2166/wst.2013.268

M3 - Journal article

C2 - 23863438

VL - 68

SP - 425

EP - 432

JO - Water Science and Technology

JF - Water Science and Technology

SN - 0273-1223

IS - 2

ER -

ID: 48885063