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Flood Risk Assessment on Reservoirs

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

Deadline for manuscript submissions: 15 October 2025 | Viewed by 650

Special Issue Editors


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Guest Editor
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing, China
Interests: flood risk analysis; flood forecasting; flood warning; hydrological modeling; reservoir regulation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, China
Interests: flood risk; combined disaster; emergency response; real-time initiation; urban flood forecast; disaster-breeding environment; deep learning model
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Flood is an extreme hydrological process in climatic events, with enormous impacts on human society and the ecosystem. Thus, assessing flood risks is critical for flood hazard mitigation and prevention. In the context of global climate change, extreme meteorological and hydrological events are widespread and frequent. In response to climate change, the support capacity of small- and medium-sized reservoirs is obviously insufficient, and the impact of flood discharge is widely concerning for all the whole society. With the intensification of climate change and the impact of human activities, the concept of flood risk management and prevention is also changing. Flood risk assessment involves new problems and new demands, such as paying more attention to the flood control risk of reservoirs. On the basis of systematically identifying the flood control risk of small- and medium-sized reservoirs, it is also very important to strengthen flood control dispatching and flood control early warning, especially flood control early warning, which is one of the core contents of non-engineering measures for flood control and disaster reduction. Through systematic flood risk assessment and the formulation of reasonable and effective early warning countermeasures to deal with different degrees of risk, we can reduce flood control risk and improve the scientificity and rationality of reservoir flood control decision making.

We invite submissions including, but not limited to, the following topics:

  • Comprehensive flood risk assessment for reservoirs, including own risk and the impact of discharge on the downstream;
  • Reservoir flood dispatching risk possibility analysis;
  • Risk assessment index system of reservoir flood dispatching;
  • Reservoir flood dispatching risk comprehensive evaluation model;
  • Flood forecasting of small reservoirs;
  • Flood warning of small reservoirs.

Prof. Dr. Gang Wang
Prof. Dr. Huiliang Wang
Guest Editors

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 submissions that pass pre-check are 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 semimonthly 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 2600 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

  • flood forecasting
  • flood warning
  • comprehensive evaluation model
  • assessment index system
  • reservoirs

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Published Papers (1 paper)

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Research

14 pages, 575 KiB  
Article
Stochastic–Dynamic Modeling of Chute Slabs Under Spillway Flows
by Evangelos Rozos, Demetris Koutsoyiannis and Jorge Leandro
Water 2025, 17(5), 621; https://doi.org/10.3390/w17050621 - 20 Feb 2025
Viewed by 316
Abstract
Amid the growing energy–water nexus crisis, large dams are being reconsidered as viable solutions despite significant environmental concerns. A critical and enduring issue with large dams is the threat they pose to downstream communities and infrastructure in the event of structural failure. The [...] Read more.
Amid the growing energy–water nexus crisis, large dams are being reconsidered as viable solutions despite significant environmental concerns. A critical and enduring issue with large dams is the threat they pose to downstream communities and infrastructure in the event of structural failure. The Oroville Dam spillway incident, where inadequate maintenance led to uplift forces that exceeded the structural capacity of a chute slab, causing severe damage, has renewed the focus on the structural stability of spillway components. This study argues that conventional methods, which rely on averaged values and empirical coefficients, may be inadequate for accurately capturing the dynamical stresses on spillway chutes induced by turbulent flow conditions. We propose a novel approach using stochastic simulation schemes to generate synthetic time series of velocity, which are then applied to a differential equation governing the chute slab oscillations. Through a hypothetical case study inspired by the Oroville incident, we demonstrate two key issues: first, that the conventional approach significantly underestimates the maximum stresses experienced by chute slabs under dynamic uplift pressures; and second, that the stochastic structure of the velocity, particularly the variance and persistence, plays a major role in determining the maximum stress. Full article
(This article belongs to the Special Issue Flood Risk Assessment on Reservoirs)
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