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Water
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Water Engineering Safety and Management
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Water Engineering Safety and Management

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 4144

Special Issue Editors

Dr. Qiubing Ren

E-Mail Website
Guest Editor
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China
Interests: water engineering safety management; structural health monitoring; structural condition assessment; engineering applications of artificial intelligence
Dr. Shaowei Wang

E-Mail Website
Guest Editor
School of Urban Construction, Changzhou University, Changzhou 213164, China
Interests: dam safety management; structural health monitoring; aging diseases of concrete structures; concrete durability
Dr. Xudong Chen

E-Mail Website
Guest Editor
School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: structural health monitoring; water engineering management; big data processing; machine learning
Dr. Siyu Chen

E-Mail Website
Guest Editor Assistant
Dam Safety Management Department, Nanjing Hydraulic Research Institute, Nanjing 210029, China
Interests: dam safety management; structural health monitoring; concrete dam; scientific machine learning; uncertainty quantification

Special Issue Information

Dear Colleagues,

A large amount of water engineering infrastructure, such as dams, embankments, and channels, was built to provide important societal and economic benefits related to flood control, power generation, water supply, etc. It is particularly important to ensure safety in water engineering throughout the life cycle of design, construction, and operation. The present Special Issue focuses on water engineering safety and management in the hydraulics and hydrodynamics fields. We are pleased to invite you to submit your original research articles and reviews to this Special Issue.

Topics of interest include, but are not limited to, the following:

  • Water engineering simulation analysis theory;
  • Optimization design methods for water engineering;
  • Intelligent construction technology for water engineering;
  • Water engineering construction and safety management;
  • Water engineering safety monitoring and health diagnosis;
  • Water engineering reliability analysis and risk assessment;
  • Innovative simulation/computing tools for water engineering;
  • Novel operation and maintenance measures for water engineering.

Other studies related to water engineering safety and management in the hydraulics and hydrodynamics fields are also welcome.

We look forward to receiving your contributions.

Dr. Qiubing Ren
Dr. Shaowei Wang
Dr. Xudong Chen
Guest Editors

Dr. Siyu Chen
Guest Editor Assistant

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 engineering
  • safety management
  • optimization design
  • intelligent construction
  • operation and maintenance
  • health diagnosis
  • risk assessment
  • numerical simulation
  • soft computing

Published Papers (4 papers)

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Research

17 pages, 16229 KiB  
Article
Deformation Monitoring and Potential Risk Detection of In-Construction Dams Utilizing SBAS-InSAR Technology—A Case Study on the Datengxia Water Conservancy Hub
by Yi Ouyang, Tao Feng, Han Feng, Xinghan Wang, Huayu Zhang and Xiaoxue Zhou
Water 2024, 16(7), 1025; https://doi.org/10.3390/w16071025 - 02 Apr 2024
Viewed by 600
Abstract
Deformation monitoring plays a pivotal role in assessing dam safety. Interferometric Synthetic Aperture Radar (InSAR) has the advantage of obtaining an extensive range of deformation, regardless of weather conditions. The Datengxia Water Conservancy Hub is the largest in-construction dam in China. To effectively [...] Read more.
Deformation monitoring plays a pivotal role in assessing dam safety. Interferometric Synthetic Aperture Radar (InSAR) has the advantage of obtaining an extensive range of deformation, regardless of weather conditions. The Datengxia Water Conservancy Hub is the largest in-construction dam in China. To effectively assess the in-construction dam safety, the SBAS-InSAR (Small Baseline Subset-InSAR) technique and 86 Sentinel-1 images (from 11 February 2020, to 16 January 2023) have been employed in this study to monitor the deformation over the reservoir and its surrounding areas. The reliability of the SBAS-InSAR monitoring results over the study area was demonstrated by the in situ monitoring results. And the InSAR results show that the central section of the left dam exhibits the most substantial cumulative deformation, attributed to the maximal water pressure. This is closely followed by the left end of the dam, which reflects a similar but smaller deformation. However, the in-construction cofferdam facilities make the right-end section of the left dam more robust, and the deformation is the most stable. Additionally, significant deformation of the auxiliary dam slope has been identified. Moreover, the analysis indicated that the deformation of the four upstream slopes is closely related to the precipitation, which potentially poses a threat to the safety of the Datengxia Dam. Full article
(This article belongs to the Special Issue Water Engineering Safety and Management)
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15 pages, 1682 KiB  
Article
Study on the Calculation Method of Carbon Emissions in the Construction Industry: Targeting Small River Maintenance Projects in Korea
by Youngseok Song, Moojong Park and Jingul Joo
Water 2023, 15(20), 3608; https://doi.org/10.3390/w15203608 - 16 Oct 2023
Viewed by 1142
Abstract
The construction industry, responsible for approximately 30% of global carbon emissions, is closely linked to national development, making carbon reduction challenging. While national development is of paramount importance, it is essential to prioritize individual projects and establish a direction for reducing carbon emissions. [...] Read more.
The construction industry, responsible for approximately 30% of global carbon emissions, is closely linked to national development, making carbon reduction challenging. While national development is of paramount importance, it is essential to prioritize individual projects and establish a direction for reducing carbon emissions. The starting point should involve calculating the carbon emissions for each project and comprehending their quantitative impact. In this study, we calculated the carbon emissions for a small river maintenance project aimed at disaster prevention in the construction industry in Yongin-si, Gyeonggi-do, Korea. The total carbon emissions generated by the small river maintenance project in the target area amounted to 2016.6 tonCO2. By process, the embankment construction was responsible for 789.7 tonCO2, while the revetment construction contributed 1226.9 tonCO2. The analysis revealed that the carbon emissions generated by the small river maintenance project equated to 10.2 tonCO2/km of river length. Additionally, we developed an equation by applying the double-log function model (log–log) to small river length and carbon emissions. The coefficient of determination for the calculation equation is 0.42, which may not yield highly precise results. However, it is believed that this equation will provide a rough estimate of the carbon emissions associated with the small river maintenance project. Full article
(This article belongs to the Special Issue Water Engineering Safety and Management)
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17 pages, 1363 KiB  
Article
Strong and Weak Supervision Combined with CLIP for Water Surface Garbage Detection
by Yunlin Ma, Zhenxiong Chu, Hao Liu, Ye Zhang, Chengzhao Liu, Dexin Li and Wei He
Water 2023, 15(17), 3156; https://doi.org/10.3390/w15173156 - 04 Sep 2023
Viewed by 1074
Abstract
Water surface garbage has a significant impact on the protection of water environments and ecological balance, making water surface garbage object detection a critical task. Traditional supervised object detection methods require a large amount of annotated data. To address this issue, we propose [...] Read more.
Water surface garbage has a significant impact on the protection of water environments and ecological balance, making water surface garbage object detection a critical task. Traditional supervised object detection methods require a large amount of annotated data. To address this issue, we propose a method that combines strong and weak supervision with CLIP (Contrastive Language–Image Pretraining) for water surface garbage object detection. First, we train on a dataset annotated with strong supervision, using traditional object detection algorithms to learn the location information of water surface garbage. Then, we input the water surface garbage images into CLIP’s visual encoder to obtain visual feature representations. Simultaneously, we train CLIP’s text encoder using textual description annotations to obtain textual feature representations of the images. By fusing the visual and textual features, we obtain comprehensive feature representations. In the weak supervision training phase, we input the comprehensive feature representations into the object detection model and employ a training strategy that combines strong and weak supervision to detect and localize water surface garbage. To further improve the model’s performance, we introduce attention mechanisms and data augmentation techniques to enhance the model’s focus and robustness towards water surface garbage. By conducting experiments on two water surface garbage datasets, we validate the effectiveness of the proposed method based on the combination of strong and weak supervision with CLIP for water surface garbage object detection tasks. Full article
(This article belongs to the Special Issue Water Engineering Safety and Management)
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20 pages, 2349 KiB  
Article
Joint Optimal Dispatch of Complex Urban Raw Water Supply: A Case Study of Lanxi City, Zhejiang Province, China
by Lingjie Li, Leizhi Wang, Xuan Gao, Xin Su, Yintang Wang and Rui Gao
Water 2023, 15(17), 3136; https://doi.org/10.3390/w15173136 - 31 Aug 2023
Viewed by 734
Abstract
Water resources play a vital role in supporting urban economic and social development and ecological and environmental protection. Water shortage is a key factor that restricts the high-quality development of cities, while the coordinated and optimized allocation of urban raw water is an [...] Read more.
Water resources play a vital role in supporting urban economic and social development and ecological and environmental protection. Water shortage is a key factor that restricts the high-quality development of cities, while the coordinated and optimized allocation of urban raw water is an important measure to alleviate the water supply–demand imbalance. The current research on urban water supply issues and their underlying causes still needs to be further strengthened. Similarly, the formulation of rules for multi-source and cross-district water supply should pay more attention. This paper proposes a general analytical process consisting of four main stages: problem identification, system generalization, rule formulation, and model construction and solution for the joint optimal scheduling of raw water in a complex urban water supply system. This study investigates the significant water resource wastage and structural water shortage in the reservoirs of Lanxi City. The optimal scheduling plan is proposed by formulating rational rules for inter-district water supply and establishing a multi-source and multi-objective joint optimization scheduling model. Compared to the current independent scheduling scheme and multi-water source joint dispatching scheme based on the current dispatch diagram, the optimal scheduling plan effectively reduced the cumulative water shortage by 68.04 million m3 and 29.72 million m3, respectively, and increased the urban water supply guarantee rate in all districts of the city to over 90%. This study offers valuable insights to urban water resource managers, empowering them to develop optimal multiple water source supply rules that align to the specific characteristics of other case studies. Full article
(This article belongs to the Special Issue Water Engineering Safety and Management)
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