Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica

被引：12

作者：

Collalti, Dino ^{[1
,2
]}

Strobl, Eric ^{[1
,2
]}

机构：

[1] Univ Bern, Dept Econ, Bern, Switzerland

[2] Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland

来源：

NATURAL HAZARDS | 2022年 / 110卷 / 03期

关键词：

Tropical cyclones; Extreme events; Rainfall; RAINFALL THRESHOLD; CYCLONE INTENSITY; MODELS; IMPACT; RISK; UNCERTAINTY; HURRICANES; WIND; LANDSLIDES; FATALITIES;

D O I：

10.1007/s11069-021-05025-9

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This study investigates economic damage risk due to extreme rainfall during tropical storms in Jamaica. To this end, remote sensing precipitation data are linked to regional damage data for five storms. Extreme value modelling of precipitation is combined with an estimated damage function and satellite-derived nightlight intensity to estimate local risk in monetary terms. The results show that variation in maximum rainfall during a storm significantly contributes to parish level damages even after controlling for local wind speed. For instance, the damage risk for a 20 year rainfall event in Jamaica is estimated to be at least 238 million USD, i.e. about 1.5% of Jamaica's yearly GDP.

引用

页码：2059 / 2086

页数：28

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