Scientific Advances vs. Engineering Challenges on Flood Design and Risk Assessment under Uncertainty

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 4090

Special Issue Editors


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Guest Editor
School of Civil Engineering, National Technical University of Athens
Interests: hydrology, water resources management, hydroinformatics, hydrological modelling, floods, water-energy nexus
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Civil Engineering, National Technical University of Athens
Interests: hydrology, hydroelectric energy, hydrometeorology, geographical information systems (GIS), hydrological modelling, water resources engineering, ancient water hydraulic works

Special Issue Information

Dear Colleagues,

The increasing global awareness of the impact of hydroclimatic and environmental changes derives, among other events, from the intensification of castastrophic flood events worldwide. Consequently, it is critical to account for changing issues and associated uncertainties in the design of hydraulic infastructures and the preparation of flood risk management plans. On the other hand, despite the extended discussion about the key concepts of change and uncertainty in hydro-environmental sciences and the development of numerous methods for their quantification, their practical use is rather limited among stakeholders and practitioners.

In this context, the objective of this Special Issue is to present state-of-the-art methods for flood simulation, prediction, and risk assesment under uncertainty, and to identify the perspectives and means of incorporating them into well-established planning, design, and management practices. The research presented might focus on the following:

  • The recognition and quantification of different sources of uncertainty within flood simulation and forecasting;
  • Stochastic vs. deteministic intepretations of hydroclimatic and environmental changes and their impact on flood estimations;
  • Revisiting classical flood modelling concepts, assumptions, formulaes, and associated design recipes;
  • The presentation of novel approaches for flood risk assessment;
  • The evaluation of uncertainties of flood-awareness systems;
  • Know-how transfer of uncertainty to decision-making processes and the flood engineering industry;

Dr. Andreas Efstratiadis
Assoc. Prof. Nikos Mamassis
Guest Editors

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Keywords

  • flood simulation
  • flood risk assessment
  • hydroclimatic and environmental changes
  • uncertainty
  • flood engineering practices
  • stochastic vs. deteministic methods

Published Papers (1 paper)

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Research

17 pages, 5439 KiB  
Article
Assessing Spatial Flood Risk from Multiple Flood Sources in a Small River Basin: A Method Based on Multivariate Design Rainfall
by Xinyu Jiang, Lijiao Yang and Hirokazu Tatano
Water 2019, 11(5), 1031; https://doi.org/10.3390/w11051031 - 17 May 2019
Cited by 9 | Viewed by 3791
Abstract
A key issue in assessing the spatial distribution of flood risk is considering risk information derived from multiple flood sources (river flooding, drainage inundation, etc.) that may affect the risk assessment area. This study proposes a method for assessing spatial flood risk that [...] Read more.
A key issue in assessing the spatial distribution of flood risk is considering risk information derived from multiple flood sources (river flooding, drainage inundation, etc.) that may affect the risk assessment area. This study proposes a method for assessing spatial flood risk that includes flooding and inundation in small-basin areas through multivariate design rainfall. The concept of critical rainfall duration, determined by the time of concentration of flooding, is used to represent the characteristics of flooding from different sources. A copula method is adopted to capture the correlation of rainfall amounts in different critical rainfall durations to reflect the correlation of potential flooding from multiple flood sources. Rainfalls for different return periods are designed based on the copula multivariate analysis. Using the design rainfalls as input, flood risk is assessed following the rainfall–runoff–inundation–loss estimation procedure. A case study of the Otsu River Basin, Osaka Prefecture, Japan, was conducted to demonstrate the feasibility and advantages of this method. Compared to conventional rainfall design, this method considers the response characteristics of multiple flood sources, and solves the problem of flood risk assessment from multiple flood sources. It can be applied to generate a precise flood risk assessment to support integrated flood risk management. Full article
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