Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events

The escalating frequency and severity of climate-related hazards in the Mediterranean, particularly in the historic town of Piran, Slovenia, underscore the critical need for enhanced coastal flood prediction and efficient early warning systems. This study delves into the impediments of available coa...

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Main Authors: Erik Kralj, Peter Kumer, Cécil J. W. Meulenberg
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/11/12/2290
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author Erik Kralj
Peter Kumer
Cécil J. W. Meulenberg
author_facet Erik Kralj
Peter Kumer
Cécil J. W. Meulenberg
author_sort Erik Kralj
collection DOAJ
description The escalating frequency and severity of climate-related hazards in the Mediterranean, particularly in the historic town of Piran, Slovenia, underscore the critical need for enhanced coastal flood prediction and efficient early warning systems. This study delves into the impediments of available coastal flood hazard maps and the existing early warning system, which rely on distant sensors, neglecting the town’s unique microclimate. The current study leverages the public registry maintained by the Administration of the Republic of Slovenia for Civil Protection and Disaster Relief (URSZR), an underutilized resource for generating comprehensive and accurate flooding maps for Piran. Here, we show that in the historic town of Piran, floodings reported through the national registry can be used to map coastal flooding by means of verification and validation of the georeferenced reports therein, with subsequent correlation analysis (hotspot, cluster, and elevation polygons) that show temporal and spatial patterns. The innovative approach adopted in this study aims to bolster the accuracy and reliability of flooding data, offering a more nuanced understanding of flood patterns (in Piran, but generally applicable where national or regional registries are available). The findings of this research illuminate the pressing need for localized field-report and sensor systems to enhance the precision of flood predictions. The study underscores the pivotal role of accurate, localized data in fortifying coastal towns against the escalating impacts of climate change, safeguarding both the inhabitants and the invaluable architectural heritage of historic areas.
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spelling doaj.art-cf642bfe15af4dbfbf09e0eab6d74bba2023-12-22T14:18:49ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-12-011112229010.3390/jmse11122290Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported EventsErik Kralj0Peter Kumer1Cécil J. W. Meulenberg2Mediterranean Institute for Environmental Studies, Science and Research Centre Koper, 6000 Koper, SloveniaMediterranean Institute for Environmental Studies, Science and Research Centre Koper, 6000 Koper, SloveniaMediterranean Institute for Environmental Studies, Science and Research Centre Koper, 6000 Koper, SloveniaThe escalating frequency and severity of climate-related hazards in the Mediterranean, particularly in the historic town of Piran, Slovenia, underscore the critical need for enhanced coastal flood prediction and efficient early warning systems. This study delves into the impediments of available coastal flood hazard maps and the existing early warning system, which rely on distant sensors, neglecting the town’s unique microclimate. The current study leverages the public registry maintained by the Administration of the Republic of Slovenia for Civil Protection and Disaster Relief (URSZR), an underutilized resource for generating comprehensive and accurate flooding maps for Piran. Here, we show that in the historic town of Piran, floodings reported through the national registry can be used to map coastal flooding by means of verification and validation of the georeferenced reports therein, with subsequent correlation analysis (hotspot, cluster, and elevation polygons) that show temporal and spatial patterns. The innovative approach adopted in this study aims to bolster the accuracy and reliability of flooding data, offering a more nuanced understanding of flood patterns (in Piran, but generally applicable where national or regional registries are available). The findings of this research illuminate the pressing need for localized field-report and sensor systems to enhance the precision of flood predictions. The study underscores the pivotal role of accurate, localized data in fortifying coastal towns against the escalating impacts of climate change, safeguarding both the inhabitants and the invaluable architectural heritage of historic areas.https://www.mdpi.com/2077-1312/11/12/2290sea flood predictionflooding mapsclimate change resiliencenatural disaster registrycoastal inundationflood-prone areas
spellingShingle Erik Kralj
Peter Kumer
Cécil J. W. Meulenberg
Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events
Journal of Marine Science and Engineering
sea flood prediction
flooding maps
climate change resilience
natural disaster registry
coastal inundation
flood-prone areas
title Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events
title_full Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events
title_fullStr Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events
title_full_unstemmed Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events
title_short Coastal Flood Risk Assessment: An Approach to Accurately Map Flooding through National Registry-Reported Events
title_sort coastal flood risk assessment an approach to accurately map flooding through national registry reported events
topic sea flood prediction
flooding maps
climate change resilience
natural disaster registry
coastal inundation
flood-prone areas
url https://www.mdpi.com/2077-1312/11/12/2290
work_keys_str_mv AT erikkralj coastalfloodriskassessmentanapproachtoaccuratelymapfloodingthroughnationalregistryreportedevents
AT peterkumer coastalfloodriskassessmentanapproachtoaccuratelymapfloodingthroughnationalregistryreportedevents
AT ceciljwmeulenberg coastalfloodriskassessmentanapproachtoaccuratelymapfloodingthroughnationalregistryreportedevents