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Water
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Shallow Water Modeling
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Shallow Water Modeling

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

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 7692

Special Issue Editors

Prof. Dr. Tullio Tucciarelli

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Guest Editor
Engineering Department, University of Palermo, Palermo, Italy
Interests: shallow water modeling; model calibration; microturbine design and management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Francesco Macchione

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Guest Editor
LaMPIT (Laboratorio di Modellistica numerica per la Protezione Idraulica del Territorio), Department of Environmental Engineering, University of Calabria
Interests: 2-D shallow water modeling; flood hazard; flood hazard communication; post-flood surveys and flood reconstruction; urban flooding; dam breach modeling
Prof. Dr. Carlo Gualtieri

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Guest Editor
Department of Civil, Architectural and Environmental Engineering, Università di Napoli Federico II, 80125 Napoli, Italy
Interests: environmental hydraulics; river hydrodynamics; ecohydraulics; computational methods in hydraulics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Giorgio Rosatti

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Guest Editor
Dipartimento di Ingegneria Civile, Ambientale e Meccanica, Università di Trento, Italy
Interests: mathematical and numerical modeling of debris flows; snow avalanches; rock–ice avalanches; sediment transport in rivers and torrents
Special Issues, Collections and Topics in MDPI journals
Dr. Silvia Barbetta

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Guest Editor
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, Italy
Interests: hydraulic risk modeling and management; flood forecasting; hydrological modeling; hydraulic structure vulnerability

Special Issue Information

Dear Colleagues,

Climatic changes occurring in the world lead to more and more frequent extreme hydrological events, often associated to floods, debris flow, and landslides. Public administrations and land owners need reliable tools to predict water depths, mean velocities, and solid transport occurring during the forecasted events.

Shallow water modeling (SWM) is one of the main pillars available today to support the evaluation of the associated hydraulic risk. Recent advances in computer methods and computational hardware allow the inclusion of SWM in the standard management tools of public authorities and private managers of both urban and not-urban areas. SWM can also be a tool for the building information modeling (BIM) approach recently adopted for the design of civil infrastructures.

In the more general effort to model natural processes and to prevent pollution, SWM can link many physical processes occurring overground and below its surface, such as heat transfer or chemical and biological transformations. SWM can also be easily coupled to 1D vertical models like the infiltration process leading to the rainfall–runoff transformation, or the multiphase vertical transfer occurring in lakes, lagoons and other natural water bodies, as well as to models for the study of river hydraulics, morphodynamics, and sediment transport.

Prof. Dr. Tullio Tucciarelli
Prof. Dr. Francesco Macchione
Prof. Dr. Carlo Gualtieri
Prof. Dr. Giorgio Rosatti
Dr. Silvia Barbetta
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

  • shallow water
  • 2D numerical models
  • floods
  • mobile bed
  • water transport
  • river hydraulics
  • hydraulic risk
  • dynamic wave
  • diffusive models

Published Papers (3 papers)

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Research

16 pages, 5181 KiB  
Article
A GPU-Accelerated and LTS-Based Finite Volume Shallow Water Model
by Peng Hu, Zixiong Zhao, Aofei Ji, Wei Li, Zhiguo He, Qifeng Liu, Youwei Li and Zhixian Cao
Water 2022, 14(6), 922; https://doi.org/10.3390/w14060922 - 15 Mar 2022
Cited by 2 | Viewed by 2018
Abstract
This paper presents a GPU (Graphics Processing Unit)-accelerated and LTS (Local-time-Step)-based finite volume Shallow Water Model (SWM). The model performance is compared against the other five model versions (Single CPU versions with/without LTS, Multi-CPU versions with/without LTS, and a GPU version) by simulating [...] Read more.
This paper presents a GPU (Graphics Processing Unit)-accelerated and LTS (Local-time-Step)-based finite volume Shallow Water Model (SWM). The model performance is compared against the other five model versions (Single CPU versions with/without LTS, Multi-CPU versions with/without LTS, and a GPU version) by simulating three flow scenarios: an idealized dam-break flow; an experimental dam-break flow; a field-scale scenario of tidal flows. Satisfactory agreements between simulation results and the available measured data/reference solutions (water level, flow velocity) indicate that all the six SWM versions can well simulate these challenging shallow water flows. Inter-comparisons of the computational efficiency of the six SWM versions indicate the following. First, GPU acceleration is much more efficient than multi-core CPU parallel computing. Specifically, the speed increase in the GPU can be as high as a hundred, whereas those for multi-core CPU are only 2–3. Second, implementing the LTS can bring considerable reduction: the additional maximum speed-ups can be as high as 10 for the single-core CPU/multi-core CPU versions, and as high as five for the GPU versions. Third, the GPU + LTS version is computationally the most efficient in most cases; the multi-core CPU + LTS version may run as fast as a GPU version for scenarios over some intermediate number of cells. Full article
(This article belongs to the Special Issue Shallow Water Modeling)
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23 pages, 4858 KiB  
Article
Study on the Exploitation Scheme of Groundwater under Well-Canal Conjunctive Irrigation in Seasonally Freezing-Thawing Agricultural Areas
by Yang Yang, Yan Zhu, Wei Mao, Heng Dai, Ming Ye, Jingwei Wu and Jinzhong Yang
Water 2021, 13(10), 1384; https://doi.org/10.3390/w13101384 - 16 May 2021
Cited by 5 | Viewed by 2250
Abstract
The suitable groundwater exploitation scheme in freezing-thawing agricultural areas under the well-canal conjunctive irrigation conditions is confronted with two major challenges, which are computationally expensive local grid refinements along wells, and the model suitability problem in the freezing-thawing period. In this study, an [...] Read more.
The suitable groundwater exploitation scheme in freezing-thawing agricultural areas under the well-canal conjunctive irrigation conditions is confronted with two major challenges, which are computationally expensive local grid refinements along wells, and the model suitability problem in the freezing-thawing period. In this study, an empirical method for groundwater level prediction in the freezing-thawing period was developed and integrated with the local grid refinement groundwater model MODFLOW-LGR for the groundwater process prediction. The model was then applied to estimate the suitable groundwater exploitation scheme, including the size of well-irrigated area and the irrigation area of single well. The results showed that suitable size of well-irrigated area should be smaller than 15 × 106 m2, and the recommended irrigation area of single well as 15 × 104 m2 to 19 × 104 m2. The recommended layout parameters of groundwater exploitation were further used to plan the well-canal conjunctive irrigation scheme in Yongji irrigation district located in northern China. This study provides an important pilot example of the conjunctive use of groundwater and surface water in arid irrigation areas with a seasonal freezing-thawing period. Full article
(This article belongs to the Special Issue Shallow Water Modeling)
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17 pages, 4749 KiB  
Article
Stream Flow Generation for Simulating Yearly Bed Change at an Ungauged Stream in Monsoon Region
by Woong Hee Lee, Heung Sik Choi, Dongwoo Lee and Byungwoong Choi
Water 2021, 13(4), 554; https://doi.org/10.3390/w13040554 - 22 Feb 2021
Cited by 1 | Viewed by 2328
Abstract
The stream flow generation method is necessary for predicting yearly bed change at an ungauged stream in Monsoon region where there is no hydrologic and hydraulic information. This study developed the stream flow generation method of daily mean flow for each month over [...] Read more.
The stream flow generation method is necessary for predicting yearly bed change at an ungauged stream in Monsoon region where there is no hydrologic and hydraulic information. This study developed the stream flow generation method of daily mean flow for each month over a year for bed change simulation at an ungauged stream. The hydraulic geometries of cross-sections and the corresponding bankfull indicators of the Byeongseong river of 4 km reach were analyzed to estimate the bankfull discharge. The estimated bankfull discharge of the target reach was 77.50 m3/s, and the total annual discharge estimated 3720 m3/s through the correlation equation with the bankfull discharge. The measured total annual discharge of the Byeongseong river was 3887.30 m3/s, which is greater by 167.30 m3/s of 4.3% relative error. The volume and bed changes over a year by the Center for Computational Hydroscience and Engineering Two-Dimension (CCHE2D) model simulated using the measured discharge during 2013 and 2014 coincided with the surveyed in the same period. Estimated total annual discharge was used for the scenarios of stream flow generation. The generated stream flow using the flow apportioned to each month on the basis of the flow percentage in an adjacent stream simulated the river bed most appropriately. The generated stream flow using the flow based on the monthly rainfall percentage of the rainfall station in the target stream basin also simulated river bed well, which is confirmed as an alternative. Quantitatively, the root mean square error (RMSE), mean bias error (MBE), and mean absolute percentage error (MAPE) in-depth change of thalweg between the measured and the simulated were found to be 0.25 m, 0.04 m, and 0.44%, respectively. The result of the simulated cross-sectional river bed change for target reach coincided well with the surveyed. The proposed method is highly applicable to generate the stream flow for analyzing the yearly bed change at an ungauged stream in Monsoon region. Full article
(This article belongs to the Special Issue Shallow Water Modeling)
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