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Water
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Computational Methods in Water Resources
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Computational Methods in Water Resources

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

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 12620

Special Issue Editor

Prof. Dr. Mustafa M. Aral

E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Interests: computational methods; stochastic methods; large scale environmental systems modeling; climate change and sea level rise; water and health systems policy; adaptation and mitigation; ecosystem restoration and resilience analysis; sensors and critical infrastructure protection and management; transborder water assessments and management; population dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computational methods are at the center of many fields of engineering and sciences. With the advances made in computer hardware and software technologies, the use of this approach is gaining more and more importance in the analysis and evaluation of very complex problems. Computers are also becoming smaller, faster, and cheaper, with the desired outcome of being more accessible to many engineers and researchers in diverse fields. One of these fields is the water resources field, which has the widest application range and covers an area from watershed applications to groundwater and surface water resources evaluations, to engineered systems applications, such as water distribution systems, and the list goes on. At the center of all these applications are the advances made in numerical and stochastic applications and algorithms used in these applications.

We also recognize that the field of water resources is common to all applications listed above. As such, the solution strategies and the problems encountered are also common. With this observation in mind, the aim of the proposed Computational Methods in Water Resources Special Issue in the Water journal is to create a forum of exchange among diverse fields of water resources applications that develop and use these computational methods and also, since the methodologies that are developed and used in one application area may also be useful and may easily find applications in other fields of water resources, provide an open repository of these algorithms in this Special Issue.

Prof. Dr. Mustafa M. Aral
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 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

  • Water resources
  • Computational methods
  • Stochastic methods
  • Watershed applications
  • Surface water
  • Groundwater
  • Engineered systems applications

Published Papers (4 papers)

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Research

18 pages, 4036 KiB  
Article
Climate Change Risk Evaluation of Tsunami Hazards in the Eastern Mediterranean Sea
by Cuneyt Yavuz, Elcin Kentel and Mustafa M. Aral
Water 2020, 12(10), 2881; https://doi.org/10.3390/w12102881 - 16 Oct 2020
Cited by 9 | Viewed by 3434
Abstract
Climate change impacts on social and economic assets and activities are expected to be devastating. What is as important as the analysis of climate change triggered events is the analysis of a combination of climate change related events and other natural hazards not [...] Read more.
Climate change impacts on social and economic assets and activities are expected to be devastating. What is as important as the analysis of climate change triggered events is the analysis of a combination of climate change related events and other natural hazards not related to climate change. Given this observation, the purpose of this study is to present a coastal risk analysis for potential earthquake triggered tsunamis (ETTs) coupled with the sea level rise (SLR) in the Eastern Mediterranean Sea. For this purpose, extensive stochastic analysis of ETTs, which are not related to climate change, are conducted considering the effects of climate change related SLR projections for this century. For the combined analysis, economic and social risks are evaluated for two regions in the Eastern Mediterranean Coastline, namely the Fethiye City Center at the Turkish Coastline and the Cairo Agricultural Area near Egypt. It is observed that ignoring SLR will hinder realistic evaluation of ETT risks in the region. Moreover, spatial evaluations of economic and social risks are necessary since topography and proximity to the earthquake zones affect inundation levels due to ETTs in the presence of SLR. Full article
(This article belongs to the Special Issue Computational Methods in Water Resources)
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20 pages, 3916 KiB  
Article
Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil
by Louise Caroline Peixoto Xavier, Samiria Maria Oliveira da Silva, Taís Maria Nunes Carvalho, João Dehon Pontes Filho and Francisco de Assis de Souza Filho
Water 2020, 12(6), 1546; https://doi.org/10.3390/w12061546 - 28 May 2020
Cited by 13 | Viewed by 2556
Abstract
This study aimed to understand the perception of drought among farmers, in order to support decision-making in the water allocation process. This study was carried out in the Tabuleiro de Russas irrigated perimeter, in northeast Brazil, over the drought period of 2012–2018. Two [...] Read more.
This study aimed to understand the perception of drought among farmers, in order to support decision-making in the water allocation process. This study was carried out in the Tabuleiro de Russas irrigated perimeter, in northeast Brazil, over the drought period of 2012–2018. Two analyses were conducted: (i) drought characterization, using the Standardized Precipitation Index (SPI) based on drought duration and frequency criteria; and (ii) analysis of farmers’ perceptions of drought via selection of explanatory variables using the Random Forest (RF) and the Decision Tree (DT) methods. The 2012–2018 drought period was defined as a meteorological phenomenon by local farmers; however, an SPI evaluation indicated that the drought was of a hydrological nature. According to the RF analysis, four of the nine study variables were more statistically important than the others in influencing farmers’ perception of drought: number of cultivated land plots, farmer’s age, years of experience in the agriculture sector, and education level. These results were confirmed using DT analysis. Understanding the relationship between these variables and farmers’ perception of drought could aid in the development of an adaptation strategy to water deficit scenarios. Farmers’ perception can be beneficial in reducing conflicts, adopting proactive management practices, and developing a holistic and efficient early warning drought system. Full article
(This article belongs to the Special Issue Computational Methods in Water Resources)
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26 pages, 25663 KiB  
Article
Symmetrical Rank-Three Vectorized Loading Scores Quasi-Newton for Identification of Hydrogeological Parameters and Spatiotemporal Recharges
by Chien-Lin Huang, Nien-Sheng Hsu, Fu-Jian Hsu, Gene J.-Y. You and Chun-Hao Yao
Water 2020, 12(4), 995; https://doi.org/10.3390/w12040995 - 1 Apr 2020
Viewed by 2246
Abstract
In a multi-layered groundwater model, achieving accurate spatiotemporal identification and solving the ill-posed problem is the vital topic for model calibration. This study proposes a symmetry rank three vectorized loading scores (SR3 VLS) quasi-Newton algorithm by modifying the Levenberg–Marquardt algorithm and importing a [...] Read more.
In a multi-layered groundwater model, achieving accurate spatiotemporal identification and solving the ill-posed problem is the vital topic for model calibration. This study proposes a symmetry rank three vectorized loading scores (SR3 VLS) quasi-Newton algorithm by modifying the Levenberg–Marquardt algorithm and importing a rank three structure from Broyden–Fletcher–Goldfarb–Shanno algorithm for identification of hydrogeological parameters and spatiotemporal recharge simultaneously. To accelerate directional convergence and approach a global optimum, this study uses a vectorized limited switchable step size in the transmissive groundwater inverse problem. The Hessian approximation rank three uses high and low-rank factor loading scores analyzed from simulated storage fluctuation between adjacent iterations for calculation and matrix correction. Two numerical experiments were designed to validate the proposing algorithm, showing the SR3 VLS quasi-Newton reduced the error percentages of the identified parameters by 1.63% and 9.65% compared to the Jacobian quasi-Newton. The proposing method is applied to the Chou-Shui River alluvial fan groundwater system in Taiwan. Results show that the simulated storage error decreased rapidly in six iterations, and has good head convergence as small as 0.11% with a root-mean-square-error (RMSE) of 0.134 m, indicating that the proposing algorithm reduces the computational cost to converge to the true solution. Full article
(This article belongs to the Special Issue Computational Methods in Water Resources)
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16 pages, 6004 KiB  
Article
A Design for Vortex Suppression Downstream of a Submerged Gate
by Ender Demirel and Mustafa M. Aral
Water 2020, 12(3), 750; https://doi.org/10.3390/w12030750 - 9 Mar 2020
Cited by 4 | Viewed by 3559
Abstract
Interaction of recirculating and mean flow downstream of a submerged gate may form significant vortex structures, which may affect the stability of the gate. Although these flow structures that appear in submerged hydraulic jumps received considerable attention in the literature, relatively less work [...] Read more.
Interaction of recirculating and mean flow downstream of a submerged gate may form significant vortex structures, which may affect the stability of the gate. Although these flow structures that appear in submerged hydraulic jumps received considerable attention in the literature, relatively less work was devoted to the analysis and suppression of the vortex structures downstream of a submerged gate. In this work, internal flow structure and vortex dynamics around a submerged gate were investigated through laboratory tests and large-eddy simulation (LES) using computational fluid dynamics (CFD). It is shown that numerical results obtained for mean velocity field are in good agreement with the experimental measurements. A helical vortex pair connected with a horseshoe vortex system was identified within the roller region using high-resolution numerical simulations. Damping performance of different types of anti-vortex elements placed on the downstream face of the gate are evaluated based on numerical studies. It is shown that the horizontal porous baffle mounted at an elevation below the free surface reduced the vortex magnitudes in the roller region by 26.8%. With the implementation of the proposed vortex breaker, lift forces acting on the gate lip were reduced by 9.4% and drag forces acting on the downstream face of the gate were reduced by 8.6%. Finally, in this study, we assess the performance of the vortex breaker under different flow conditions. Full article
(This article belongs to the Special Issue Computational Methods in Water Resources)
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