Flood risk monitoring in Switzerland: Proof of concept

The spatiotemporal evolution of flood risk is a challenge for flood risk management. Climate change, land-use change, human intervention, and socio-economic development lead to dynamics in the main risk components - hazard, exposure, and vulnerability. These dynamics require continuous adaptation of risk management strategies to ensure the safety level of humans and their assets in the long term. To enable adaptive flood risk management, it is necessary to monitor the risk evolution. Risk monitoring provides a better understanding of the risk evolution, identifies spatiotemporal differences, and detects location-specific drivers of change. However, flood risk monitoring concepts and their application are lacking. In this study, we evaluate the application of flood risk monitoring using a national case study (Switzerland) with data collected over a time period of 10 years. The continuously updated hazard maps, the number of houses in potentially endangered areas and the degree of damage are used to quantify the evolution of flood risk in terms of potential damage to buildings. The results show varying annual evolution of the flood risk in Switzerland and in different administrative units, the spatial variability of the flood risk evolution, and the variability in the evolution of the flood risk components. Between 2014 and 2023, the total flood risk in Switzerland increased by 26 %, the hazard area increased by 32 % and the exposure by 35 %. The disentangling of risk factors allows a better understanding of important drivers that increase or decrease risk. However, data availability and consistency are challenges for flood risk monitoring.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-03-01
DOI
https://doi.org/10.48620/86046
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flood risk monitoring in Switzerland: Proof of concept

Open Access CRIS of the University of Bern
Fish Ecology and Management Studies
article

Flood risk monitoring in Switzerland: Proof of concept

article en

Abstract

The spatiotemporal evolution of flood risk is a challenge for flood risk management. Climate change, land-use change, human intervention, and socio-economic development lead to dynamics in the main risk components - hazard, exposure, and vulnerability. These dynamics require continuous adaptation of risk management strategies to ensure the safety level of humans and their assets in the long term. To enable adaptive flood risk management, it is necessary to monitor the risk evolution. Risk monitoring provides a better understanding of the risk evolution, identifies spatiotemporal differences, and detects location-specific drivers of change. However, flood risk monitoring concepts and their application are lacking. In this study, we evaluate the application of flood risk monitoring using a national case study (Switzerland) with data collected over a time period of 10 years. The continuously updated hazard maps, the number of houses in potentially endangered areas and the degree of damage are used to quantify the evolution of flood risk in terms of potential damage to buildings. The results show varying annual evolution of the flood risk in Switzerland and in different administrative units, the spatial variability of the flood risk evolution, and the variability in the evolution of the flood risk components. Between 2014 and 2023, the total flood risk in Switzerland increased by 26 %, the hazard area increased by 32 % and the exposure by 35 %. The disentangling of risk factors allows a better understanding of important drivers that increase or decrease risk. However, data availability and consistency are challenges for flood risk monitoring.

Open Access CRIS of the University of Bern
Oeschger Centre for Climate Change Research (CH)
Climate action
Openalex Percentile: Top 54%
Fish Ecology and Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Flood risk monitoring in Switzerland: Proof of concept · Open Access CRIS of the University of Bern (2025) | TGRS Research Map | TGRS