Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies

This research addresses the need for proactive climate risk management (CRM) by developing and applying a spatial climate risk and vulnerability assessment (CRVA) to flooding under consideration of the socio-economic dimension in Austria. Our research builds on a consolidated risk and vulnerability...

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Main Authors: Jutta-Lucia Leis, Stefan Kienberger
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/16/6458
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spelling doaj-6a2412df49a94b6382ab5e5613f4e3bb2020-11-25T03:15:01ZengMDPI AGSustainability2071-10502020-08-01126458645810.3390/su12166458Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and TypologiesJutta-Lucia Leis0Stefan Kienberger1Interfaculty Department of Geoinformatics—Z_GIS, Paris-Lodron-University of Salzburg (PLUS), 5020 Salzburg, AustriaInterfaculty Department of Geoinformatics—Z_GIS, Paris-Lodron-University of Salzburg (PLUS), 5020 Salzburg, AustriaThis research addresses the need for proactive climate risk management (CRM) by developing and applying a spatial climate risk and vulnerability assessment (CRVA) to flooding under consideration of the socio-economic dimension in Austria. Our research builds on a consolidated risk and vulnerability framework targeting both disaster risk reduction (DRR) and climate change adaptation (CCA) while integrating the consolidated risk approach of the Intergovernmental Panel on Climate Change (IPCC). Furthermore, our research advances current methodologies by applying a spatially explicit and indicator-based approach, which allows the targeted and place-specific identification of intervention options—independent from the spatial bias of administrative units. The flooding CRVA is based on a comprehensive list of 14 primary indicators and 35 socio-economic sub-indicators. Our results indicate that high levels of socio-economic vulnerability related to flooding are concentrated in the northern and eastern regions of Austria. When integrating a climate hazard proxy, statistically significant risk hotspots (>90% confidence) can be identified in central-northern Austria and towards the east. Furthermore, we established a typology of regions following a spatially enabled clustering approach. Finally, our research provides a successful operationalization of the IPCC Fifth Assessment Report (AR5) risk framework in combination with enhanced spatial analysis methods.https://www.mdpi.com/2071-1050/12/16/6458climate change adaptationresilienceexposureregionalizationaggregationspatial indicators
collection DOAJ
language English
format Article
sources DOAJ
author Jutta-Lucia Leis
Stefan Kienberger
spellingShingle Jutta-Lucia Leis
Stefan Kienberger
Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies
Sustainability
climate change adaptation
resilience
exposure
regionalization
aggregation
spatial indicators
author_facet Jutta-Lucia Leis
Stefan Kienberger
author_sort Jutta-Lucia Leis
title Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies
title_short Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies
title_full Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies
title_fullStr Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies
title_full_unstemmed Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies
title_sort climate risk and vulnerability assessment of floods in austria: mapping homogenous regions, hotspots and typologies
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-08-01
description This research addresses the need for proactive climate risk management (CRM) by developing and applying a spatial climate risk and vulnerability assessment (CRVA) to flooding under consideration of the socio-economic dimension in Austria. Our research builds on a consolidated risk and vulnerability framework targeting both disaster risk reduction (DRR) and climate change adaptation (CCA) while integrating the consolidated risk approach of the Intergovernmental Panel on Climate Change (IPCC). Furthermore, our research advances current methodologies by applying a spatially explicit and indicator-based approach, which allows the targeted and place-specific identification of intervention options—independent from the spatial bias of administrative units. The flooding CRVA is based on a comprehensive list of 14 primary indicators and 35 socio-economic sub-indicators. Our results indicate that high levels of socio-economic vulnerability related to flooding are concentrated in the northern and eastern regions of Austria. When integrating a climate hazard proxy, statistically significant risk hotspots (>90% confidence) can be identified in central-northern Austria and towards the east. Furthermore, we established a typology of regions following a spatially enabled clustering approach. Finally, our research provides a successful operationalization of the IPCC Fifth Assessment Report (AR5) risk framework in combination with enhanced spatial analysis methods.
topic climate change adaptation
resilience
exposure
regionalization
aggregation
spatial indicators
url https://www.mdpi.com/2071-1050/12/16/6458
work_keys_str_mv AT juttalucialeis climateriskandvulnerabilityassessmentoffloodsinaustriamappinghomogenousregionshotspotsandtypologies
AT stefankienberger climateriskandvulnerabilityassessmentoffloodsinaustriamappinghomogenousregionshotspotsandtypologies
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