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Special Issue "Integrated Flood Management: Concepts, Methods, Tools and Results"

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

Deadline for manuscript submissions: 31 August 2019.

Special Issue Editor

Guest Editor
Prof. Philippe Gourbesville

Polytech Lab, University Nice Sophia Antipolis, Polytech Nice Sophia, 930 route des Colles, 06903 Sophia Antipolis, France
Website | E-Mail
Phone: +33 6 50 03 16 51
Interests: flood disaster management and crisis management, risks analysis, vulnerability assessment, resilience strategy, development of hydroinformatics solutions for decision support, smart water solutions, urban environment, smart water

Special Issue Information

Dear Colleagues,

The recent catastrophic flooding events observed worldwide have underlined the urgency to integrate the current climate dynamic and to look to develop engineering solutions that give more space to the resilience concept. The complexity of modern societies has induced a growing vulnerability regarding flooding, in particular within the new megacity environments. The modern urban developments that will host 70% of the world population in 2030 requires that we anticipate, forecast and mitigate the potential flood risks that may affect cities. The integrated flood management (IFM) approach aims to maximize the productivity and efficient use of floodplains and coastal zones, while minimizing the loss of life and impact on livelihoods and assets through protective measures. Obviously, absolute protection from flooding is impossible to achieve and a choice has to be made regarding the level of risk that is acceptable for a society. This pro-active risk reduction approach has to be supported by concepts, methods and operational tools. This Special Issue aims to propose an overview of the most advanced research and results obtained with new concepts, methods and tools in the field of flood risk reduction. Submissions focused of emerging ICT solutions and hydroinformatics tools implemented in decision support systems and in catastrophe modelling are strongly encouraged. Submissions presenting a return on experience (REX) for extreme events and operational technical solutions are welcome.

Prof. Philippe Gourbesville
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Integrated Flood Risk Management (IFRM)
  • Decision Support Systems
  • Early warning and forecast systems
  • Hydroinformatics and ICT solutions
  • Numerical models
  • Crisis management
  • Hazards, vulnerability and risks assessment
  • Damage and mitigation strategies
  • Resilience
  • Return on experience (REX)

Published Papers (5 papers)

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Research

Open AccessArticle
Flood Forecasting and Warning System Structures: Procedure and Application to a Small Urban Stream in South Korea
Water 2019, 11(8), 1571; https://doi.org/10.3390/w11081571
Received: 9 June 2019 / Revised: 5 July 2019 / Accepted: 25 July 2019 / Published: 29 July 2019
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Abstract
The runoff from heavy rainfall reaches urban streams quickly, causing them to rise rapidly. It is therefore of great importance to provide sufficient lead time for evacuation planning and decision making. An efficient flood forecasting and warning method is crucial for ensuring adequate [...] Read more.
The runoff from heavy rainfall reaches urban streams quickly, causing them to rise rapidly. It is therefore of great importance to provide sufficient lead time for evacuation planning and decision making. An efficient flood forecasting and warning method is crucial for ensuring adequate lead time. With this objective, this paper proposes an analysis method for a flood forecasting and warning system, and establishes the criteria for issuing urban-stream flash flood warnings based on the amount of rainfall to allow sufficient lead time. The proposed methodology is a nonstructural approach to flood prediction and risk reduction. It considers water level fluctuations during a rainfall event and estimates the upstream (alert point) and downstream (confluence) water levels for water level analysis based on the rainfall intensity and duration. We also investigate the rainfall/runoff and flow rate/water level relationships using the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) and the HEC’s River Analysis System (HEC-RAS) models, respectively, and estimate the rainfall threshold for issuing flash flood warnings depending on the backwater state based on actual watershed conditions. We present a methodology for issuing flash flood warnings at a critical point by considering the effects of fluctuations in various backwater conditions in real time, which will provide practical support for decision making by disaster protection workers. The results are compared with real-time water level observations of the Dorim Stream. Finally, we verify the validity of the flash flood warning criteria by comparing the predicted values with the observed values and performing validity analysis. Full article
(This article belongs to the Special Issue Integrated Flood Management: Concepts, Methods, Tools and Results)
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Open AccessArticle
Flood Hazard Scenarios of the Sirba River (Niger): Evaluation of the Hazard Thresholds and Flooding Areas
Water 2019, 11(5), 1018; https://doi.org/10.3390/w11051018
Received: 23 April 2019 / Revised: 8 May 2019 / Accepted: 13 May 2019 / Published: 15 May 2019
Cited by 1 | PDF Full-text (6139 KB) | HTML Full-text | XML Full-text
Abstract
In Sahelian countries, a vast number of people are still affected every year by flood despite the efforts to prevent or mitigate these catastrophic events. This phenomenon is exacerbated by the incessant population growth and the increase of extreme natural events. Hence, the [...] Read more.
In Sahelian countries, a vast number of people are still affected every year by flood despite the efforts to prevent or mitigate these catastrophic events. This phenomenon is exacerbated by the incessant population growth and the increase of extreme natural events. Hence, the development of flood management strategies such as flood hazard mapping and Early Warning Systems has become a crucial objective for the affected nations. This study presents a comprehensive hazard assessment of the Nigerien reach of the Sirba River, the main tributary Middle Niger River. Hazard thresholds were defined both on hydrological analysis and field effects, according to national guidelines. Non-stationary analyses were carried out to consider changes in the hydrological behavior of the Sirba basin over time. Data from topographical land surveys and discharge gauges collected during the 2018 dry and wet seasons were used to implement the hydraulic numerical model of the analyzed reach. The use of the proposed hydraulic model allowed the delineation of flood hazard maps as well the calculation of the flood propagation time from the upstream hydrometric station and the validation of the rating curves of the two gauging sites. These significative outcomes will allow the implementation of the Early Warning System for the river flood hazard and risk reduction plans preparation for each settlement. Full article
(This article belongs to the Special Issue Integrated Flood Management: Concepts, Methods, Tools and Results)
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Open AccessArticle
Research on the Multi-Objective Cooperative Competition Mechanism of Jinsha River Downstream Cascade Reservoirs during the Flood Season Based on Optimized NSGA-III
Water 2019, 11(4), 849; https://doi.org/10.3390/w11040849
Received: 26 March 2019 / Revised: 18 April 2019 / Accepted: 19 April 2019 / Published: 23 April 2019
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Abstract
This paper analyzes the complex relationship among flood control, power generation and ecological maintenance for the four cascade reservoirs located on the lower reaches of the Jinsha River, China. A weighted flood control index is incorporated and a constraining method consisting of the [...] Read more.
This paper analyzes the complex relationship among flood control, power generation and ecological maintenance for the four cascade reservoirs located on the lower reaches of the Jinsha River, China. A weighted flood control index is incorporated and a constraining method consisting of the combination of a constrained corridor and a penalty function is proposed. A comprehensive utilization model is established in this paper based on the objectives of flood prevention, power generation, and ecological maintenance of the downstream cascade reservoir group of the Jinsha River during flood season. In addition, based on the coalescent selection of reference points and vector angles, an optimized non-dominated sorting genetic algorithm (VA-NSGA-III) is proposed. The algorithm is applied to the constructed model to define the cooperative competition mechanisms among these three targets, resulting in a set of non-inferior scheduling schemes with more uniformity and better convergence acquired with VA-NSGA-III. The scheduling program shows that there is a non-linear competitive relationship between the power generation and ecological effects of the cascade reservoirs during flood season, and the competitiveness weakens as the power generation increases. Furthermore, when the flood control is at low risk, there exists a complex coupling relationship between competition and coordination of the flood control, power generation, and ecological maintenance. While the risk appears high, there is a competitive relationship between flood control and power generation, with flood control being in synergy with ecological maintenance. Full article
(This article belongs to the Special Issue Integrated Flood Management: Concepts, Methods, Tools and Results)
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Open AccessArticle
Flood Resilience of Critical Infrastructure: Approach and Method Applied to Fort Lauderdale, Florida
Water 2019, 11(3), 517; https://doi.org/10.3390/w11030517
Received: 17 January 2019 / Revised: 4 March 2019 / Accepted: 6 March 2019 / Published: 12 March 2019
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Abstract
In order to increase the flood resilience of cities (i.e., the ability to cope with flood hazards), it is also crucial to make critical infrastructure functions resilient, since these are essential for urban society. Cities are complex systems with many actors of different [...] Read more.
In order to increase the flood resilience of cities (i.e., the ability to cope with flood hazards), it is also crucial to make critical infrastructure functions resilient, since these are essential for urban society. Cities are complex systems with many actors of different disciplines and many interdependent critical infrastructure networks and functions. Common flood risk analysis techniques provide useful information but are not sufficient to obtain a complete overview of the effects of flooding and potential measures to increase flood resilience related to critical infrastructure networks. Therefore, a more comprehensive approach is needed which helps accessing knowledge of actors in a structured way. Fort Lauderdale, Florida, United States has suffered from flood impacts, especially from disruptions in critical infrastructure. This paper shows how shared insight among different sectors and stakeholders into critical infrastructure resilience and potential resilience-enhancing measures was obtained using input from these actors. It also provides a first quantitative indication of resilience, indicated by the potential disruption due to floods and the effect of measures on resilience. The paper contributes to the existing literature on resilience specifically by considering the duration of disruption, the inclusion of critical infrastructure disruption in flood impact analysis, and the step from resilience quantification to measures. Full article
(This article belongs to the Special Issue Integrated Flood Management: Concepts, Methods, Tools and Results)
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Open AccessArticle
Flood Classification Based on a Fuzzy Clustering Iteration Model with Combined Weight and an Immune Grey Wolf Optimizer Algorithm
Water 2019, 11(1), 80; https://doi.org/10.3390/w11010080
Received: 17 November 2018 / Revised: 11 December 2018 / Accepted: 28 December 2018 / Published: 4 January 2019
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Abstract
Flood classification is an important basis for flood forecasting, flood risk identification, flood real-time scheduling, and flood resource utilization. However, flood classification results may be not reasonable due to uncertainty, the fuzziness of evaluation indices, and the demerit of not comprehensively considering the [...] Read more.
Flood classification is an important basis for flood forecasting, flood risk identification, flood real-time scheduling, and flood resource utilization. However, flood classification results may be not reasonable due to uncertainty, the fuzziness of evaluation indices, and the demerit of not comprehensively considering the index weight. In this paper, based on the fuzzy clustering iterative model, a sensitivity coefficient was applied to combine the subjective and objective weights into a combined weight, then the fuzzy clustering iterative model with combined weight (FCI-CW) was proposed for flood classification. Moreover, an immune grey wolf optimizer algorithm (IGWO) based on the standard grey wolf optimizer algorithm and an immune clone selection operator was proposed for the global search of the optimal fuzzy clustering center and the sensitivity coefficient of FCI-CW. Finally, simulation results at Nanjing station and Yichang station demonstrate that the proposed methodology, i.e., FCI-CW combined with IGWO, is reasonable and reliable, can effectively deal with flood classification problems with better fitness and a comprehensive consideration of the subjective and objective aspects, and has great application potential in sorting, evaluation, and decision-making problems without evaluation criteria. Full article
(This article belongs to the Special Issue Integrated Flood Management: Concepts, Methods, Tools and Results)
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