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Water
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Feasibility Evaluation and Sustainable Management of Water Infrastructure
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Feasibility Evaluation and Sustainable Management of Water Infrastructure

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

Deadline for manuscript submissions: 20 August 2024 | Viewed by 2898

Special Issue Editors

Prof. Dr. Shu Yu

E-Mail Website
Guest Editor
China Institute of Water Resources and Hydropower Research, Bei**g, China
Interests: dam and reservoir engineering; in-situ monitoring and risk warning of water infrastructure embankments subjected to extreme climate conditions; dam-break modelling; stability analysis of water infrastructure slopes
Prof. Dr. Jian Wang

E-Mail Website
Guest Editor
College of Water Conservancy and Hydropower Engineering, Hohai University, Nan**g 210024, China
Interests: hydraulic structures; safety evaluation and risk management of water infrastructures; mesh-free method and other simulation methods
Dr. Zhenyu Wu

E-Mail Website
Guest Editor
College of Water Resources & Hydropower, Sichuan University, Chengdu 610065, China
Interests: dam engineering; reliability analysis; health monitoring; risk management

Special Issue Information

Dear Colleagues,

Water is essential, and water-related infrastructure is foundational to our daily life. The rise of highly urbanized populations and ongoing climate change have posed various challenges to the security and management of water infrastructures, such as reservoirs, water transfer and supply systems, wastewater treatment systems, and storm drainage. In order to ensure water security, feasibility evaluations and sustainable management are vital to the maintenance of water infrastructures. With the development of novel technologies such as artificial intelligence (AI) and big data, it is urgent to embrace these technologies and enhance the management of water-related infrastructures. 

The Special Issue welcomes the submission of articles that present innovative approaches with which to study water infrastructure-related problems. Theoretical or experimental papers and case studies are welcome. Potential topics include, but are not limited to, the following: (i) Health monitoring of water infrastructure; (ii) operational management of water infrastructure; (iii) defect detection in water infrastructure; (iv) advanced design theory and technology of water infrastructure; (v) intelligent construction of water infrastructure; (vi) application of soft numerical modelling and machine learning in water infrastructure; (vii) risk assessment and emergency response of water infrastructure under extreme climate conditions; and (viii) sustainable technologies and materials for water infrastructure restoration.

Prof. Dr. Shu Yu
Prof. Dr. Jian Wang
Dr. Zhenyu Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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 infrastructure
  • feasibility evaluation
  • sustainable management
  • health monitoring
  • defects detection
  • risk assessment and migration
  • numerical modelling and machine learning
  • design theory and technology
  • intelligent construction
  • sustainable technologies and materials

Published Papers (3 papers)

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Research

14 pages, 1877 KiB  
Article
Graph Neural Networks for Sensor Placement: A Proof of Concept towards a Digital Twin of Water Distribution Systems
by Andrea Menapace, Ariele Zanfei, Manuel Herrera and Bruno Brentan
Water 2024, 16(13), 1835; https://doi.org/10.3390/w16131835 - 27 Jun 2024
Viewed by 437
Abstract
Urban water management faces new challenges due to the rise of digital solutions and abundant data, leading to the development of data-centric tools for decision-making in global water utilities, with AI technologies poised to become a key trend in the sector. This paper [...] Read more.
Urban water management faces new challenges due to the rise of digital solutions and abundant data, leading to the development of data-centric tools for decision-making in global water utilities, with AI technologies poised to become a key trend in the sector. This paper proposes a novel methodology for optimal sensor placement aimed at supporting the creation of a digital twin for water infrastructure. A significant innovation in this study is the creation of a metamodel to estimate pressure at consumption nodes in a water supply system. This metamodel guides the optimal sensor configuration by minimizing the difference between estimated and observed pressures. Our methodology was tested on a synthetic case study, showing accurate results. The estimated pressures at each network node exhibited low error and high accuracy across all sensor configurations tested, highlighting the potential for future development of a digital twin for water distribution systems. Full article
(This article belongs to the Special Issue Feasibility Evaluation and Sustainable Management of Water Infrastructure)
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19 pages, 5002 KiB  
Article
Large-Scale Freezing and Thawing Model Experiment and Analysis of Water–Heat Coupling Processes in Agricultural Soils in Cold Regions
by Mingwei Hai, Anshuang Su, Miao Wang, Shijun Gao, Chuan Lu, Yanxiu Guo and Chengyuan **ao
Water 2024, 16(1), 19; https://doi.org/10.3390/w16010019 - 20 Dec 2023
Cited by 1 | Viewed by 904
Abstract
Heilongjiang Province, the largest commercial grain base in China, experiences significant challenges due to the environmental effects on its soil. The freezing and thawing cycle in this region leads to the transport of water and heat, as well as the exchange and transfer [...] Read more.
Heilongjiang Province, the largest commercial grain base in China, experiences significant challenges due to the environmental effects on its soil. The freezing and thawing cycle in this region leads to the transport of water and heat, as well as the exchange and transfer of energy. Consequently, this exacerbates the flooding disaster in spring and severely hampers farming activities such as plowing and sowing. To gain a better understanding of the freezing and thawing mechanisms of farmland soil in cold regions and prevent spring flooding disasters, this study focuses on Heilongjiang Province as a representative area in northeast China. The research specifically investigates the frozen and thawed soil of farmland, using a large-scale low-temperature laboratory to simulate both artificial and natural climate conditions in the cold zone. By employing the similarity principle of geotechnical model testing, the study aims to efficiently simulate the engineering prototypes and replicate the process of large-span and long-time low temperatures. The investigation primarily focuses on the evolution laws of key parameters, such as the temperature field and moisture field of farmland soil during the freeze–thaw cycle. The findings demonstrate that the cooling process of soil can be categorized into three stages: rapid cooling, slow cooling, and freezing stabilization. As the soil depth increases, the variability of the soil temperature gradually diminishes. During the melting stage, the soil’s water content exhibits a gradual increase as the temperature rises. The range of water content variation during thawing at depths of 30 cm, 40 cm, 50 cm, and 80 cm is 0.12% to 0.52%, 0.47% to 1.08%, 0.46% to 1.96%, and 0.8% to 3.23%, respectively. To analyze the hydrothermal coupling process of farmland soil during the freeze–thaw cycle, a theoretical model of hydrothermal coupling was developed based on principles of mass conservation, energy conservation, Darcy’s law of unsaturated soil water flow, and heat conduction theory. Mathematical transformations were applied after defining the relative degree of saturation and solid–liquid ratio as field functions with respect to the relative degree of saturation and temperature. The simulated temperature and moisture fields align well with the measured data, indicating that the water–heat coupling model established in this study holds significant theoretical and practical value for accurately predicting soil temperature and moisture content during the spring sowing period, as well as for efficiently and effectively utilizing frozen soil resources in cold regions. Full article
(This article belongs to the Special Issue Feasibility Evaluation and Sustainable Management of Water Infrastructure)
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16 pages, 5064 KiB  
Article
Sedimentation Behavior of Flocculant-Treated Dredged Slurry under Filtration of Woven Geotextiles
by Haimin Wu, Maoxue Zhang, Honghui Zheng and Feng Yi
Water 2023, 15(23), 4158; https://doi.org/10.3390/w15234158 - 30 Nov 2023
Viewed by 1180
Abstract
Geotextile tubes have offered a cost-effective and convenient solution for the treatment of dredged slurry in recent years. Despite their benefits, the dewatering process of this method remains cumbersome and time-consuming. The incorporation of flocculants into dredged slurries has been shown to mitigate [...] Read more.
Geotextile tubes have offered a cost-effective and convenient solution for the treatment of dredged slurry in recent years. Despite their benefits, the dewatering process of this method remains cumbersome and time-consuming. The incorporation of flocculants into dredged slurries has been shown to mitigate the clogging of geotextile tubes, thereby enhancing the efficiency of the dewatering process. To quantify the impact of flocculant addition on the dewatering performance, a series of laboratory tests were conducted to investigate the sedimentation behavior of flocculant-treated river-dredged slurries under filtration of woven geotextiles. The impact of different flocculants is evaluated with the sedimentation rates of dredged slurries, specifically nonionic polyacrylamide (NPAM) and cationic polyacrylamide (CPAM). Results demonstrated that both NPAM and CPAM, at an optimal concentration of around 250 mg/L, could substantially increase the settling rates of slurries when filtered through geotextiles. At equivalent flocculant concentration, NPAM outperforms CPAM in accelerating sedimentation rates. It is also evidenced that adding flocculants can significantly augment the particle size and permeability of slurries. After adding flocculants, the water content and dry density of the final sediments exhibit a more uniform distribution in the vertical direction compared to the original slurry. Furthermore, scanning electron microscopy was employed to analyze the micromorphology of the final sediments treated with different NPAM concentrations. The results showed that the slurries exhibited significant void structure under treatment with the optimal concentration of NPAM, demonstrating the flocculants’ effectiveness in enhancing the dewatering process of river-dredged slurries when filtered with geotextiles. Full article
(This article belongs to the Special Issue Feasibility Evaluation and Sustainable Management of Water Infrastructure)
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