对“气候变化统计问题首次讨论会”的感谢致辞与讨论贡献

Seconder of the vote of thanks and contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’

Journal of the Royal Statistical Society. Series C: Applied Statistics · 2023
被引 0
ABS 3

中文导读

建立挪威全国建筑级暴雨洪水水损风险评分模型,结合气候预测评估21世纪中后期气候变化对风险的影响,对保险公司和城市规划有用。

Abstract

Weather-related risk makes the insurance industry inevitably concerned with climate and climate change.Buildings hit by pluvial flooding is a key manifestation of this risk, giving rise to compensations for the induced physical damages and business interruptions.In this work, we establish a nationwide, buildingspecific risk score for water damage associated with pluvial flooding in Norway.We fit a generalised additive model that relates the number of water damages to a wide range of explanatory variables that can be categorised into building attributes, climatological variables, and topographical characteristics.The model assigns a risk score to every location in Norway, based on local topography and climate, which is not only useful for insurance companies but also for city planning.Combining our model with an ensemble of climate projections allows us to project the (spatially varying) impacts of climate change on the risk of pluvial flooding towards the middle and end of the 21st century.

气候变化保险统计学水灾风险城市规划