Direct flood risk assessment of the European road network: an object-based approach

River flooding is among the most profound climate hazards in Europe and poses a threat to its road transport infrastructure. Traditional continental-scale flood risk studies do not accurately capture these disruptions because they are typically grid-based, whereas roads are relatively narrow line elements which are therefore omitted. Moreover, these grid-approaches disregard the network properties of roads, whereas the costs of reduced mobility could largely exceed the costs of the physical damage to the infrastructure.We address these issues by proposing and applying an improved physical damage assessment coupled with the assessment of mobility disruption for a comprehensive risk assessment at a continental level.In this study, we introduce an object-based, continental scale flood risk assessment of the European road network. We improve the estimates of direct, physical damage, by drawing road network data from OpenStreetMap, while making optimal use of the available metadata. We also introduce a set of road-specific flood damage functions, which are validated for an observed flood event in Germany. The results of this approach are compared to the traditional, grid-based approach to modelling road transport damage.Next, we showcase how the object-based approach can be used to study potential mobility disruptions. In this study we present how the network data from OpenStreetMap and available metadata can be used to assess the flood impacts in terms of decreased connectivity, that is, increased distance, time and/or costs. The approach is flexible in physical scope, able to address national and continental resilience assessments and provide advice on tipping points of service performance. Furthermore, flexibility is also incorporated in terms of different resilience perspectives including decision-making by the asset owner or the national or trans-national supply chain disruption to a particular economic sector or company.Finally, the risk assessment is discussed based on applications for the impacts of floods on European roads and the potential to extend to multi-hazard assessments (landslides, earthquakes, pluvial flooding) and other types of critical networks is discussed. &#160;&#160;This paper has received funding from the European Union&#8217;s Horizon 2020 research and innovation programme under grant agreement No 776479 for the project CO-designing the Assessment of Climate CHange costs. https://www.coacch.eu/&#160;

Download Full-text

Flood Risk Assessment and Forecasting for the Ganges-Brahmaputra-Meghna River Basins

10.1596/28574 ◽

2017 ◽

Cited By ~ 5

Author(s):

Satya Priya ◽

William Young ◽

Thomas Hopson ◽

Ankit Avasthi

Keyword(s):

Risk Assessment ◽

Flood Risk ◽

River Basins ◽

Flood Risk Assessment ◽

The Ganges

Download Full-text

Flood Risk and Social Justice: From Quantitative to Qualitative Flood Risk Assessment and Mitigation

Water Intelligence Online ◽

10.2166/9781780400822 ◽

2012 ◽

Vol 11 ◽

Cited By ~ 8

Author(s):

Zoran Vojinović

Keyword(s):

Risk Assessment ◽

Social Justice ◽

Flood Risk ◽

Flood Risk Assessment

Download Full-text

Application of HEC-RAS and HEC-LifeSim models for flood risk assessment

Journal of Applied Water Engineering and Research ◽

10.1080/23249676.2021.1908183 ◽

2021 ◽

pp. 1-16

Author(s):

Ali El Bilali ◽

Abdeslam Taleb ◽

Imane Boutahri

Keyword(s):

Risk Assessment ◽

Flood Risk ◽

Flood Risk Assessment

Download Full-text

Method for fluvial and pluvial flood risk assessment in rural settlements

MethodsX ◽

10.1016/j.mex.2021.101463 ◽

2021 ◽

pp. 101463

Author(s):

Maurizio Tiepolo ◽

Elena Belcore ◽

Sarah Braccio ◽

Souradji Issa ◽

Giovanni Massazza ◽

...

Keyword(s):

Risk Assessment ◽

Flood Risk ◽

Flood Risk Assessment ◽

Rural Settlements

Download Full-text

Applying Remote Sensing to Support Flood Risk Assessment and Relief Agencies: A Global to Local Approach

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323351 ◽

2020 ◽

Author(s):

A.J. Kettner ◽

G. J.-P. Schumann ◽

G.R. Brakenridge

Keyword(s):

Remote Sensing ◽

Risk Assessment ◽

Flood Risk ◽

Flood Risk Assessment ◽

Local Approach

Download Full-text

An Integrated Flood Risk Assessment Model for Cities Located in the Transitional Zone between Taihang Mountains and North China Plain: A Case Study in Shijiazhuang, Hebei, China

Atmosphere ◽

10.3390/atmos10030104 ◽

2019 ◽

Vol 10 (3) ◽

pp. 104 ◽

Cited By ~ 2

Author(s):

Qiang Liu ◽

Hongmao Yang ◽

Min Liu ◽

Rui Sun ◽

Junhai Zhang

Keyword(s):

Risk Assessment ◽

Flood Risk ◽

North China Plain ◽

North China ◽

Transitional Zone ◽

Assessment Model ◽

Analysis Tool ◽

Risk Assessment Model ◽

Flood Risk Assessment ◽

Risk Map

Cities located in the transitional zone between Taihang Mountains and North China plain run high flood risk in recent years, especially urban waterlogging risk. In this paper, we take Shijiazhuang, which is located in this transitional zone, as the study area and proposed a new flood risk assessment model for this specific geographical environment. Flood risk assessment indicator factors are established by using the digital elevation model (DEM), along with land cover, economic, population, and precipitation data. A min-max normalization method is used to normalize the indices. An analytic hierarchy process (AHP) method is used to determine the weight of each normalized index and the geographic information system (GIS) spatial analysis tool is adopted for calculating the risk map of flood disaster in Shijiazhuang. This risk map is consistent with the reports released by Hebei Provincial Water Conservancy Bureau and can provide reference for flood risk management.

Download Full-text

A Case Study of Flood Risk Evaluation Based on Emergy Theory and Cloud Model in Anyang Region, China

Water ◽

10.3390/w13040420 ◽

2021 ◽

Vol 13 (4) ◽

pp. 420

Author(s):

Zening Wu ◽

Yuhai Cui ◽

Yuan Guo

Keyword(s):

Risk Assessment ◽

Flood Risk ◽

Flood Control ◽

Flood Hazard ◽

Cloud Model ◽

Flood Disaster ◽

Assessment System ◽

Assessment Model ◽

Flood Risk Assessment ◽

Emergy Theory

With the progression of climate change, the intensity and frequency of extreme rainfall have increased in many parts of the world, while the continuous acceleration of urbanization has made cities more vulnerable to floods. In order to effectively estimate and assess the risks brought by flood disasters, this paper proposes a regional flood disaster risk assessment model combining emergy theory and the cloud model. The emergy theory can measure many kinds of hazardous factor and convert them into unified solar emergy (sej) for quantification. The cloud model can transform the uncertainty in flood risk assessment into certainty in an appropriate way, making the urban flood risk assessment more accurate and effective. In this study, the flood risk assessment model combines the advantages of the two research methods to establish a natural and social dual flood risk assessment system. Based on this, the risk assessment system of the flood hazard cloud model is established. This model was used in a flood disaster risk assessment, and the risk level was divided into five levels: very low risk, low risk, medium risk, high risk, and very high risk. Flood hazard risk results were obtained by using the entropy weight method and fuzzy transformation method. As an example for the application of this model, this paper focuses on the Anyang region which has a typical continental monsoon climate. The results show that the Anyang region has a serious flood disaster threat. Within this region, Linzhou County and Anyang County have very high levels of risk for flood disaster, while Hua County, Neihuang County, Wenfeng District and Beiguan District have high levels of risk for flood disaster. These areas are the core urban areas and the economic center of local administrative regions, with 70% of the industrial clusters being situated in these regions. Only with the coordinated development of regional flood control planning, economy, and population, and reductions in the uncertainty of existing flood control and drainage facilities can the sustainable, healthy and stable development of the region be maintained.

Download Full-text