Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations

Flood-producing rainfall amounts have a significant cumulative economic impact. Despite the advance in flood risk mitigation measures, the cost of rehabilitation and compensation of citizens by the state and insurance companies is increasing worldwide. A continuing challenge is the flood risk assess...

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Main Authors: Katerina Papagiannaki, Vassiliki Kotroni, Kostas Lagouvardos, Antonis Bezes, Vasileios Vafeiadis, Ioanna Messini, Efstathios Kroustallis, Ioannis Totos
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/6/994
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author Katerina Papagiannaki
Vassiliki Kotroni
Kostas Lagouvardos
Antonis Bezes
Vasileios Vafeiadis
Ioanna Messini
Efstathios Kroustallis
Ioannis Totos
author_facet Katerina Papagiannaki
Vassiliki Kotroni
Kostas Lagouvardos
Antonis Bezes
Vasileios Vafeiadis
Ioanna Messini
Efstathios Kroustallis
Ioannis Totos
author_sort Katerina Papagiannaki
collection DOAJ
description Flood-producing rainfall amounts have a significant cumulative economic impact. Despite the advance in flood risk mitigation measures, the cost of rehabilitation and compensation of citizens by the state and insurance companies is increasing worldwide. A continuing challenge is the flood risk assessment based on reliable hazard and impact measures. The present study addresses this challenge by identifying rainfall thresholds likely to trigger economic losses due to flood damages to properties across the Athens Metropolitan Area of Greece. The analysis uses eight-year rainfall observations from 66 meteorological stations and high spatial resolution insurance claims on the postal code segmentation. Threshold selection techniques were applied based on the ROC curves widely used to assess the performance of binary response models. The model evaluates the probability of flood damages in terms of insurance claims in this case. Thresholds of 24-h rainfall were identified at the municipal level, as municipalities are the first administration level where decision making to address the local risks for the citizens is needed. The rainfall thresholds were further classified to estimate and map the local risk of flood damages. Practical implications regarding the applicability of the detected thresholds in early-warning systems are also discussed.
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spelling doaj.art-682d57d2e0974fbbba7a04d2b010a4b82023-11-30T22:50:17ZengMDPI AGWater2073-44412022-03-0114699410.3390/w14060994Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall ObservationsKaterina Papagiannaki0Vassiliki Kotroni1Kostas Lagouvardos2Antonis Bezes3Vasileios Vafeiadis4Ioanna Messini5Efstathios Kroustallis6Ioannis Totos7Institute of Environmental Research and Sustainable Development, National Observatory of Athens, 11810 Athens, GreeceInstitute of Environmental Research and Sustainable Development, National Observatory of Athens, 11810 Athens, GreeceInstitute of Environmental Research and Sustainable Development, National Observatory of Athens, 11810 Athens, GreeceInstitute of Environmental Research and Sustainable Development, National Observatory of Athens, 11810 Athens, GreeceInstitute of Environmental Research and Sustainable Development, National Observatory of Athens, 11810 Athens, GreeceΙnteramerican Property & Casualty Insurance Company S.A., 15124 Maroussi, GreeceΙnteramerican Property & Casualty Insurance Company S.A., 15124 Maroussi, GreeceΙnteramerican Property & Casualty Insurance Company S.A., 15124 Maroussi, GreeceFlood-producing rainfall amounts have a significant cumulative economic impact. Despite the advance in flood risk mitigation measures, the cost of rehabilitation and compensation of citizens by the state and insurance companies is increasing worldwide. A continuing challenge is the flood risk assessment based on reliable hazard and impact measures. The present study addresses this challenge by identifying rainfall thresholds likely to trigger economic losses due to flood damages to properties across the Athens Metropolitan Area of Greece. The analysis uses eight-year rainfall observations from 66 meteorological stations and high spatial resolution insurance claims on the postal code segmentation. Threshold selection techniques were applied based on the ROC curves widely used to assess the performance of binary response models. The model evaluates the probability of flood damages in terms of insurance claims in this case. Thresholds of 24-h rainfall were identified at the municipal level, as municipalities are the first administration level where decision making to address the local risks for the citizens is needed. The rainfall thresholds were further classified to estimate and map the local risk of flood damages. Practical implications regarding the applicability of the detected thresholds in early-warning systems are also discussed.https://www.mdpi.com/2073-4441/14/6/994rainfall thresholdsflood damagesMediterraneanGreeceurbanearly warning
spellingShingle Katerina Papagiannaki
Vassiliki Kotroni
Kostas Lagouvardos
Antonis Bezes
Vasileios Vafeiadis
Ioanna Messini
Efstathios Kroustallis
Ioannis Totos
Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations
Water
rainfall thresholds
flood damages
Mediterranean
Greece
urban
early warning
title Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations
title_full Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations
title_fullStr Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations
title_full_unstemmed Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations
title_short Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations
title_sort identification of rainfall thresholds likely to trigger flood damages across a mediterranean region based on insurance data and rainfall observations
topic rainfall thresholds
flood damages
Mediterranean
Greece
urban
early warning
url https://www.mdpi.com/2073-4441/14/6/994
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