Special Issue "Flood Risk Analysis and Management from a System's Approach"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: closed (31 December 2019).

Special Issue Editors

Dr. Karin De Bruijn
Website
Guest Editor
Deltares, Department of flood risk management, Boussinesqweg 1, 2629 HV Delft, The Netherlands
Interests: flood risk management; resilience; flood risk analysis
Special Issues and Collections in MDPI journals
Dr. Kai Schröter
Website
Guest Editor
GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, 14473 Potsdam, Germany
Interests: flood risk; flood damage modelling; flood forecasting and warning; hydrological and hydraulic modelling; uncertainty analysis and optimization methods
Special Issues and Collections in MDPI journals
Dr. Alessio Domeneghetti
Website
Guest Editor
DICAM, University of Bologna, 40136 Bologna, Italy
Interests: flood damage and flood risk assessment; hydrological and hydraulic modelling; remote sensing; altimetry data; river bathymetry
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Improved methods and new insights in many aspects of flood risk analysis and management have become available in recent decades. To further improve flood risk management, however, it is crucial to not only focus on improvements of specific elements but to consider them in a coherent way. Methods are needed that better account for the interaction between areas, between elements from the flood risk chain, and between the physical and societal systems. We welcome papers that contribute to flood risk analysis techniques that provide insight into the flood risk of larger river systems, coastal systems, or larger areas with multiple waterways and take into account interdependencies through weather, space, and time. We think of papers that study exceedance probabilities of certain damages in areas with multiple waterways, challenges in getting consistent river flows in areas with multiple tributaries, river-dike-floodplain interactions, and long-term interactions between physical and societal systems. Also, the development of strategies for systems, taking into account system-criteria such as equity, regret, and sustainability, are welcome.

Dr. Karin de Bruijn
Dr. Kai Schröter
Dr. Alessio Domeneghetti
Guest Editors

Manuscript Submission Information

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Keywords

  • Flood risk analysis
  • Flood risk management
  • Systems approach
  • Hydrodynamic interaction
  • Interdependencies
  • Correlations
  • System trade-offs

Published Papers (4 papers)

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Research

Open AccessFeature PaperArticle
Systemic Flood Risk Management: The Challenge of Accounting for Hydraulic Interactions
Water 2019, 11(12), 2530; https://doi.org/10.3390/w11122530 - 29 Nov 2019
Cited by 3
Abstract
Rivers typically flow through multiple flood-protected areas which are clearly interconnected, as risk reduction measures taken at one area, e.g., heightening dikes or building flood storage areas, affect risk elsewhere. We call these interconnections ‘hydraulic interactions’. The current approach to flood risk management, [...] Read more.
Rivers typically flow through multiple flood-protected areas which are clearly interconnected, as risk reduction measures taken at one area, e.g., heightening dikes or building flood storage areas, affect risk elsewhere. We call these interconnections ‘hydraulic interactions’. The current approach to flood risk management, however, neglects hydraulic interactions for two reasons: They are uncertain and, furthermore, considering them would require the design of policies not only striving for risk reduction, but also accounting for risk transfers across flood-protected areas. In the present paper, we compare the performance of policies identified according to the current approach with those of two alternative formulations: One acknowledging hydraulic interactions and the other also including an additional decision criterion to account for equity in risk distribution across flood-protected areas. Optimal policies are first identified under deterministic hydraulic interactions, and, next, they are stress-tested under uncertainty. We found that the current approach leads to a false sense of equal risk distribution. It does, however, perform efficiently when a risk-averse approach towards uncertain hydraulic interactions is taken. Accounting for hydraulic interactions in the design of policies, instead, increases efficiency and both efficiency and equity when hydraulic interactions are considered deterministically and as uncertain, respectively. Full article
(This article belongs to the Special Issue Flood Risk Analysis and Management from a System's Approach)
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Open AccessArticle
Large Scale Flood Hazard Analysis by Including Defence Failures on the Dutch River System
Water 2019, 11(8), 1732; https://doi.org/10.3390/w11081732 - 20 Aug 2019
Cited by 3
Abstract
To make informed flood risk management (FRM) decisions in large protected river systems, flood risk and hazard analyses should include the potential for dike breaching. ‘Load interdependency’ analyses attempt to include the system-wide effects of dike breaching while accounting for the uncertainty of [...] Read more.
To make informed flood risk management (FRM) decisions in large protected river systems, flood risk and hazard analyses should include the potential for dike breaching. ‘Load interdependency’ analyses attempt to include the system-wide effects of dike breaching while accounting for the uncertainty of both river loads and dike fragility. The intensive stochastic computation required for these analyses often precludes the use of complex hydraulic models, but simpler models may miss spatial inundation interactions such as flows that ‘cascade’ between compartmentalised regions and overland flows that ‘shortcut’ between river branches. The potential for these interactions in the Netherlands has previously been identified, and so a schematisation of the Dutch floodplain and protection system is here developed for use in a load interdependency analysis. The approach allows for the spatial distribution of hazard to be quantified under various scenarios and return periods. The results demonstrate the importance of including spatial inundation interactions on hazard estimation at three specific locations, and for the system in general. The modelling approach can be used at a local scale to focus flood-risk analysis and management on the relevant causes of inundation, and at a system-wide scale to estimate the overall impact of large-scale measures. Full article
(This article belongs to the Special Issue Flood Risk Analysis and Management from a System's Approach)
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Open AccessArticle
Flood Risk Analysis of Different Climatic Phenomena during Flood Season Based on Copula-Based Bayesian Network Method: A Case Study of Taihu Basin, China
Water 2019, 11(8), 1534; https://doi.org/10.3390/w11081534 - 24 Jul 2019
Cited by 1
Abstract
We propose a flood risk management model for the Taihu Basin, China, that considers the spatial and temporal differences of flood risk caused by the different climatic phenomena. In terms of time, the probability distribution of climatic phenomenon occurrence time was used to [...] Read more.
We propose a flood risk management model for the Taihu Basin, China, that considers the spatial and temporal differences of flood risk caused by the different climatic phenomena. In terms of time, the probability distribution of climatic phenomenon occurrence time was used to divide the flood season into plum rain and the typhoon periods. In terms of space, the Taihu Basin was divided into different sub-regions by the Copula functions. Finally, we constructed a flood risk management model using the Copula-based Bayesian network to analyze the flood risk. The results showed the plum rain period occurs from June 24 to July 21 and the typhoon period from July 22 to September 22. Considering the joint distribution of sub-region precipitation and the water level of Taihu Lake, we divided the Taihu Basin into three sub-regions (P-I, P-II, and P-III) for risk analysis in the plum rain period. However, the Taihu Basin was used as a whole for flood risk analysis in the typhoon period. Risk analysis indicated a probability of 2.4%, and 0.8%, respectively, for future adverse drainage during the plum rain period and the typhoon period, the flood risk increases rapidly with the rising water level in the Taihu Lake. Full article
(This article belongs to the Special Issue Flood Risk Analysis and Management from a System's Approach)
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Open AccessArticle
Effect of Density and Total Weight on Flow Depth, Velocity, and Stresses in Loess Debris Flows
Water 2018, 10(12), 1784; https://doi.org/10.3390/w10121784 - 05 Dec 2018
Cited by 3
Abstract
Debris flows that involve loess material produce important damage around the world. However, the kinematics of such processes are poorly understood. To better understand these kinematics, we used a flume to measure the kinematics of debris flows with different mixture densities and weights. [...] Read more.
Debris flows that involve loess material produce important damage around the world. However, the kinematics of such processes are poorly understood. To better understand these kinematics, we used a flume to measure the kinematics of debris flows with different mixture densities and weights. We used sensors to measure pore fluid pressure and total normal stress. We measured flow patterns, velocities, and depths using a high-speed camera and laser range finder to identify the temporal evolution of the flow behavior and the corresponding peaks. We constructed fitting functions for the relationships between the maximum values of the experimental parameters. The hydrographs of the debris flows could be divided into four phases: increase to a first minor peak, a subsequent smooth increase to a second peak, fluctuation until a third major peak, and a final continuous decrease. The flow depth, velocity, total normal stress, and pore fluid pressure were strongly related to the mixture density and total mixture weight. We defined the corresponding relationships between the flow parameters and mixture kinematics. Linear and exponential relationships described the maximum flow depth and the mixture weight and density, respectively. The flow velocity was linearly related to the weight and density. The pore fluid pressure and total normal stress were linearly related to the weight, but logarithmically related to the density. The regression goodness of fit for all functions was >0.93. Therefore, these functions are accurate and could be used to predict the consequences of loess debris flows. Our results provide an improved understanding of the effects of mixture density and weight on the kinematics of debris flows in loess areas, and can help landscape managers prevent and design improved engineering solutions. Full article
(This article belongs to the Special Issue Flood Risk Analysis and Management from a System's Approach)
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