Advances in Crisis and Risk Management of Extreme Floods

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

Deadline for manuscript submissions: 25 April 2025 | Viewed by 1251

Special Issue Editors


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Guest Editor
Hydromechanik and Hydraulic Engineering, University of Siegen, Siegen, Germany
Interests: urban hydrology; urban resilience; rainfall-runoff modelling; flood inundation modelling; flood forecasting; calibration
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Guest Editor
Department of Hydrology and Quantitative Water Management, Wageningen University & Research, Wageningen, The Netherlands
Interests: flood statistics; flood generation; flood forecasting; climate change; regionalisation

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Guest Editor
Geotechnical Engineering, Department of Civil Engineering, University of Siegen, Siegen, Germany
Interests: marine geotechnics; soil-water and soil-structure interaction; reliability design and assessment in geotechnical engineering

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Guest Editor
Department of Civil Engineering, University of Siegen, 57068 Siegen, Germany
Interests: water resources management and forecasting; forecasting uncertainty; catchment hydrology; climate change impact analysis; floods; drought; Bayesian analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern flood crisis and risk management frameworks can be categorized into four phases depending on the time interval before/after a disaster occurs. While mitigation and preparedness take place before the event and are arguably more risk management orientated, response and recovery strategies take place during and after the event and are often defined in more detail within a crisis management framework.  

In flood risk management, a distinction is often made between structural and non-structural measures. Structural (or conventional) measures include larger structures that have a significant impact on the natural course of the river. Non-structural measures focus instead on making the best possible use of the natural processes of the river. Flood crises measures range from forecasting and warning, through response during the event, to recovery measures after the event. However, it should be mentioned that forecasting is not limited to weather or flood predictions but can also include cascading effects such as landslides or the failure of critical infrastructure.

Over the past ten years, governance and resilience building have emerged as important tools for preventing, preparing, responding and managing crises. Here too, a paradigm shift is underway. Existing risk management could move to a more resilience-focused framework in which governance plays a greater role. Government institutions play a central role in how countries adapt to and recover from complex shocks. Building resilience is probably the best way forward, where crises in general, including multinational issues such as climate change, economic stress, geopolitical crises and extreme floods, will become common features of our near future.

This Special Issue on “Advances in Crisis and Risk Management of Extreme Floods” therefore encourages the submission of manuscripts that explicitly address the following key topics:

  • Emergency management (mitigation, preparedness, response, and recovery)
  • Crisis and risk management
  • Resilience and Risk assessment
  • Community resilience and governance
  • Forecasting and simulation
  • Impact assessment
  • Induced landslides and critical infrastructure failures
  • Nature based flood risk management

Prof. Dr. Jorge Leandro
Dr. Svenja Fischer
Prof. Dr. Kerstin Lesny
Prof. Dr. Paolo Reggiani
Guest Editors

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Keywords

  • mitigation
  • preparedness
  • response
  • recovery management
  • resilience and risk
  • community resilienc
  • governance
  • forecasting
  • numerical simulation
  • induced landslides
  • critical infrastructure
  • nature based solutions

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Published Papers (1 paper)

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Research

18 pages, 6435 KiB  
Article
Optimizing the Numerical Simulation of Debris Flows: A New Exploration of the Hexagonal Cellular Automaton Method
by Zheng Han, Qiang Fu, Nan Jiang, Yangfan Ma, Xiulin Zhang and Yange Li
Water 2024, 16(11), 1536; https://doi.org/10.3390/w16111536 - 27 May 2024
Viewed by 865
Abstract
Debris flow, driven by natural events like heavy rainfall and snowmelt, involves sediment, rocks, and water, posing destructive threats to life and infrastructure. The accurate prediction of its activity range is crucial for prevention and mitigation efforts. Cellular automata circumvent is the cumbersome [...] Read more.
Debris flow, driven by natural events like heavy rainfall and snowmelt, involves sediment, rocks, and water, posing destructive threats to life and infrastructure. The accurate prediction of its activity range is crucial for prevention and mitigation efforts. Cellular automata circumvent is the cumbersome process of solving partial differential equations, thereby efficiently simulating complex dynamic systems. Given the anisotropic characteristics of square cells in the simulation of dynamic systems, this paper proposes a novel approach, utilizing a hexagonal cellular automaton for the numerical simulation of debris flows, where the direction judgment efficiency increased by 25%. Employing cubic interpolation, the model thereby determines the central elevation of each hexagonal cell. By modifying the flow direction function and stopping conditions, it achieves more accurate predictions of the debris flow run-out extent. This method was applied to the 2010 Yohutagawa debris flow event and the flume test. To evaluate the simulation’s accuracy, the Ω value and Fβ score were used. The Ω value is a comprehensive evaluation factor that takes into account missed or misjudgment areas. On this basis, the Fβ score emphasizes that the missed identification of debris flow areas will bring greater harm. Research indicates that the Ω value showed improvements of 6.47% and 3.96%, respectively, while the Fβ score improved by 3.10% and 4.61%. Full article
(This article belongs to the Special Issue Advances in Crisis and Risk Management of Extreme Floods)
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