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Geosciences
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Hydraulics and Environmental Fluid Mechanics
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Hydraulics and Environmental Fluid Mechanics

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Hydrogeology".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 3409

Special Issue Editors

Dr. Amir H. Azimi

E-Mail Website
Guest Editor
Department of Civil Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
Interests: environmental sustainability; modelling; optimization algorithms; water resources engineering; transport of sediment; aquatic systems
Special Issues, Collections and Topics in MDPI journals
Dr. Abul BM Baki

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Clarkson University, Potsdam, NY, USA
Interests: ecohydraulics; hydraulics, fishways design and optimization; habitat suitability; stream restoration; sediment transport
Special Issues, Collections and Topics in MDPI journals
Dr. Hossein Bonakdari

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Interests: water resources; hydrology; AI; climate change; sustainable development; time series; hydrological modelling; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The present Special Issue in Geosciences journal is devoted to hydraulics and environmental fluid mechanics and their interactions with geoscience as a multidisciplinary platform. This Special Issue covers a wide range of topics from the geoscience perspective in turbulent mixing in river and lakes, wave hydrodynamics, and oscillatory flows that often occur in nature, and modeling of sediment laden and slurry flows due to natural motion of turbudity currents in the near fields. In addition, it covers topics related to the engineering aspect of geoscience that influences the flow particularly in rivers such as hydraulic structures, eco-hydraulics, sediment transport, and the flow-structure interactions due to temporal and spatial variations. The present Special Issue also focuses on studies particularly relating to the natural fluid systems often described as multi-phase and non-Newtonian flow mixtures. The subject areas in this Special Issue are diverse and may originate from a variety of scientific and engineering disciplines. Detailed numerical simulations using Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), and optimization methods in hydraulics and environmental fluid dynamics are of interest for this Special Issue.

Dr. Amir H. Azimi
Prof. Hossein Bonakdari
Dr. Abul Basar Baki
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. Geosciences 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 1800 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

  • Hydraulic structures
  • Environmental fluid dynamics
  • Lake and river mixing
  • Sediment transport
  • Multiphase and non-Newtonian flows
  • Wave hydrodynamics and oscillatory flows
  • Flow-structure interactions
  • Eco-hydraulics
  • Computational Fluid Dynamics
  • Artificial intelligence and optimization in hydraulics

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Published Papers (1 paper)

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Research

22 pages, 3106 KiB  
Article
Uncertainty Assessment of Entropy-Based Circular Channel Shear Stress Prediction Models Using a Novel Method
by Amin Kazemian-Kale-Kale, Azadeh Gholami, Mohammad Rezaie-Balf, Amir Mosavi, Ahmed A. Sattar, Amir H. Azimi, Bahram Gharabaghi and Hossein Bonakdari
Geosciences 2021, 11(8), 308; https://doi.org/10.3390/geosciences11080308 - 24 Jul 2021
Cited by 2 | Viewed by 2125
Abstract
Entropy models have been recently adopted in many studies to evaluate the shear stress distribution in open-channel flows. Although the uncertainty of Shannon and Tsallis entropy models were analyzed separately in previous studies, the uncertainty of other entropy models and comparisons of their [...] Read more.
Entropy models have been recently adopted in many studies to evaluate the shear stress distribution in open-channel flows. Although the uncertainty of Shannon and Tsallis entropy models were analyzed separately in previous studies, the uncertainty of other entropy models and comparisons of their reliability remain an open question. In this study, a new method is presented to evaluate the uncertainty of four entropy models, Shannon, Shannon-Power Law (PL), Tsallis, and Renyi, in shear stress prediction of the circular channels. In the previous method, the model with the largest value of the percentage of observed data within the confidence bound (Nin) and the smallest value of Forecasting Range of Error Estimation (FREE) is the most reliable. Based on the new method, using the effect of Optimized Forecasting Range of Error Estimation (FREEopt) and Optimized Confidence Bound (OCB), a new statistic index called FREEopt-based OCB (FOCB) is introduced. The lower the value of FOCB, the more certain the model. Shannon and Shannon PL entropies had close values of the FOCB equal to 8.781 and 9.808, respectively, and had the highest certainty, followed by ρgRs and Tsallis models with close values of 14.491 and 14.895, respectively. However, Renyi entropy, with the value of FOCB equal to 57.726, had less certainty. Full article
(This article belongs to the Special Issue Hydraulics and Environmental Fluid Mechanics)
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