Spatial–Temporal Variations of Water Quality in Urban Rivers after Small Sluices Construction: A Case in Typical Regions of the Taihu Lake Basin

Lan, Feng; Wang, Haisen; Yan, Yan

doi:10.3390/ijerph191912453

Cited by 5 publications

(3 citation statements)

References 35 publications

(36 reference statements)

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“…Furthermore, when evaluating the environmental health of large-scale infrastructure like subway stations, sluices, dams, and high-speed rail stations, conventional methods typically involve questionnaires and field tests [108][109][110]. For example, Lee et al (2018) utilized a thermal-optical elemental analyzer and an organic carbon analyzer to measure particulate matter in subway environments [111].…”

Section: Discussionmentioning

confidence: 99%

Intelligent Systems Integrating BIM and VR for Urban Subway Microenvironmental Health Risks Management

Chen,

Li,

et al. 2024

Buildings

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With the rapid development and construction of urban subways, various risks associated with human health and wellbeing within subway microenvironments have seriously increased. However, only a few intelligent systems have been validated as suitable for facilitating the management of subway environments. Field tests can be time-consuming and inefficient, and questionnaires often lack true intuitiveness for participants. Therefore, to enhance subway environment management, this study proposed intelligent systems that integrate building information modeling (BIM) and virtual reality (VR) for managing health risks in urban subway microenvironments. The systems were developed using Revit 2021, Navisworks 2020, Unity 2019, MYSQL 8.0, and Visual Studio 2019. Additionally, they were applied in scenarios for environmental assessment and passenger coping capability enhancement, differentiated into an expert visual-based health risk assessment system and a gamified simulation system for passenger risk prevention. The feasibility of the approach was validated with the case of Xinzhuang subway station of Line 3 in Nanjing, China. The findings revealed that the assessment system enabled experts to have a better and straight understanding of subway microenvironmental health risks and the gamification simulation system significantly enhanced the passengers’ coping capacity. The integration of BIM and VR, with its design features such as visibility, optimization, and simulation, compensated for BIM’s lack of providing an immersive experience for systems. The intelligent systems introduced in this study present novel models for environmental assessment and passenger training, catering to both subway operators and researchers. The innovative systems serve as a cornerstone in guaranteeing the health and safety of public transportation operations.

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Section: Discussionmentioning

confidence: 99%

Intelligent Systems Integrating BIM and VR for Urban Subway Microenvironmental Health Risks Management

Chen,

Li,

et al. 2024

Buildings

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“…This inadequacy is primarily due to the unique geo-structural characteristics of marine clay sediments. Moreover, a significant limitation of most existing approaches is their failure to account for the effects of cyclic loading and unloading of confinement pressure [32][33][34][35]. Field tests pose challenges for quantifying the permeability anisotropy of marine clay sediments containing cracks, let alone determining their stress-dependent permeability tensors.…”

Section: Engineering Applicationmentioning

confidence: 99%

Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques

Cui,

Zhou,

Gao

et al. 2024

Water

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In this study, a method was introduced to validate the presence of a Representative Elementary Volume (REV) within marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure. Physical testing provided the basis for this verification. Once the existence of the REV for such sediment was confirmed, we established a machine-learning predictive model. This model utilizes a hybrid algorithm combining Particle Swarm Optimization (PSO) with a Support Vector Machine (SVM). The model was trained using a database generated from the aforementioned physical tests. The machine-learning model demonstrates favorable predictive performance based on several statistical metrics, including the coefficient of determination (R2), mean residual error (MSE), mean relative residual error (MRSE), and the correlation coefficient R during the verification process. Utilizing the established machine-learning predictive model, one can effortlessly obtain the permeability tensor of marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure by inputting the relevant stress condition parameters. The original research cannot estimate the permeability tensor under similar loading and unloading conditions through REV. In this study, the physical model test was used to determine the REV of marine cohesive sediments with cracks by cyclic-constrained pressure loading and unloading. Referring to the results of physical tests, we developed a machine-learning prediction model that can easily estimate the permeability tensor of marine cohesive sediments with cracks under cyclic loading and constrained pressure unloading conditions. This method greatly saves time and computation and provides a direct method for engineering and technical personnel to predict the permeability tensor in this case.

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“…The actual application effect of water environment improvement in urban river and lake connected areas is not significant. The improvement of water environment relies more on water conservancy engineering facilities [7,8] . Therefore, this article takes the "Fish of Shanghai" lake and surrounding water systems in Fengxian District, Shanghai as an example, and proposes a series of engineering facility schemes based on reality.…”

Section: Introductionmentioning

confidence: 99%

Research on Water Environment Improvement in Urban Rivers and Lakes Connected Areas——Taking “Shanghai Fish” Lake as an Example

Liu

2024

Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023)

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In order to clarify the spatiotemporal variation patterns of water quality in urban river lake connected areas and improve the regional water environment, this research takes "Shanghai Fish" Lake and its surrounding backbone river network as the research objects. One-dimensional and two-dimensional hydrodynamic water quality model are both used to simulate the regional water quality, turbidity, and water exchange rate of "Shanghai Fish" Lake under three types of improvement facilities: no control, semi control, and full control. The results show that: (1) If no control measures are established, the water quality in the lake will be basically consistent with the peripheral river network, and the total phosphorus, total nitrogen, and turbidity will exceed the standard strictly;(2) If partial controlled, the connection between the lake's water body and the peripheral river network can be appropriately delayed, and the water quality is basically uncontrollable; (3) If fully controlled, it can effectively delay the connection between the lake's water and the peripheral river network, and the water quality can be basically controlled; (4) The construction and control method of building navigation lock combined with overflow weirs can meet the needs of flood control, ecology, and navigation.

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Spatial–Temporal Variations of Water Quality in Urban Rivers after Small Sluices Construction: A Case in Typical Regions of the Taihu Lake Basin

Cited by 5 publications

References 35 publications

Intelligent Systems Integrating BIM and VR for Urban Subway Microenvironmental Health Risks Management

Intelligent Systems Integrating BIM and VR for Urban Subway Microenvironmental Health Risks Management

Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques

Research on Water Environment Improvement in Urban Rivers and Lakes Connected Areas——Taking “Shanghai Fish” Lake as an Example

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