The Negative Impact of Blockage on Storm Water Drainage Network

Fathy, Ismail; Abdel-Aal, Gamal M.; Fahmy, Maha R.; Fathy, Amira; Zeleňáková, Martina

doi:10.3390/w12071974

Cited by 12 publications

(5 citation statements)

References 13 publications

(9 reference statements)

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“…During the solving process, the alternate direction method of multipliers (ADMM) is employed, where u n+1 3) is searched, which is precisely the optimal solution of the variational problem in Equation (2). Accordingly, the signal x(t) is decomposed into k numbers of discrete mode components u(t).…”

Section: Vmdmentioning

confidence: 99%

“…A blockage is a ubiquitous phenomenon during pipeline operations. In case of slight blockage of the pipe, the blocked area will enlarge continuously over time if timely detection and management are not given, which eventually leads to severe blockage [2]. The severe blockage will compromise the carrying capacity of the pipe and the reliability of the system; will increase the possibility of environmental pollution and the redundancy of the system; and will cause over-pressure of partial pipes in the system to increase the possibility of leakage, thereby ultimately resulting in a serious waste of water resources and environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Feature Selection Based on VMD and Information Gain for Pipe Blockages

Zhu

Feng

et al. 2021

Applied Sciences

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Targeting the challenge of determining the degree of blockage in buried pipelines and the difficulty of effectively extracting blockage features, a blockage detection method integrating variational mode decomposition (VMD) and information gain is proposed. Acoustic impulse response signals were obtained by deconvolving the output signals of the system, which were then subjected to VMD to obtain 12 components in different frequency ranges. Next, information gain (IG) was introduced to characterize the 12 components quantitatively, through which the components containing rich information about the pipe conditions were selected out. Meanwhile, sound pressure level conversion was performed on the selected components to amplify any changes in the sound field. Finally, the root mean square entropy (RMSE) was calculated to constitute the feature eigenvectors, which were input into Random Forests (RF) classifier for defect identification of pipeline. As the experimental results demonstrate, the proposed method is capable of determining the degree of blockage effectively in the running state. Meanwhile, it can also eliminate the interference of functional parts such as lateral connections during the identification process, thereby improving the identification accuracy. The present study has shown both theoretical significance and application value in the field of defect detection and recognition.

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Section: Vmdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Feature Selection Based on VMD and Information Gain for Pipe Blockages

Zhu

Feng

et al. 2021

Applied Sciences

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“…However, the stormwater drainage system is highly susceptible to blockages when improperly used and maintained. Fathy et al 34 conducted experimental studies to investigate the discharge capacity of trunk pipes under different levels and lengths of blockages. They found that the discharge capacity of the trunk pipes decreased by 15.11% under conditions where the blockage fill ratio along the pipe was 0.5.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the buffering effects of urban trees group in dike-break floods

Liu,

Zhang,

et al. 2023

Sci Rep

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The process of dike-break flood propagation in typical urban street is highly complex. The presence of buildings and trees groups in urban street profoundly alters the flood dynamics, impacting the drainage capacity of the area. In this study, a generalized sink model representing a typical urban street was established, including trees groups, buildings, sidewalks, and stormwater drainage systems. The study measured the fluctuation of water levels within the street block and the pressure variation in the pressurized stormwater drainage network during the dike-break flood propagation. Furthermore, it conducted a comparative analysis to assess the influence of different arrangements of trees groups on the maximum water depth in buildings and the discharge capacity of the pressurized stormwater drainage network. Dike-break floods give rise to large-scale water leaps and the formation of thin layer water sheets near the buildings under the influence of buildings, water tank sidewalls, and tree groups. The water leap zones exhibit lateral migration and superposition on the sidewalks during the flood propagation, gradually dissipating and disappearing in the longitudinal direction of the street. In the presence of tree groups, the water levels significantly decrease in buildings and downstream street, while the discharge capacity of the pressurized stormwater drainage network shows a slight improvement as the road’s flood-carrying capacity increases. The pressure in the main pipes fluctuates due to the switching of the grate inlet drainage mode and the hydraulic transition process in the branch pipes. The research findings not only provide valuable validation data for numerical simulations but also offer theoretical guidance for urban flood management and landscape design.

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“…Structural decentralization strategies reduce the degree of centralization (DC) by reducing the number of elements that are linked and interconnected by releasing stormwater by various outlets to different water bodies locations (see Section 2.2) [10]. Structural resilience is often neglected in the design of UDSs [31][32][33]. However, it can play a significant role in system performance during extreme events.…”

Section: Introductionmentioning

confidence: 99%

Integrating Structural Resilience in the Design of Urban Drainage Networks in Flat Areas Using a Simplified Multi-Objective Optimization Framework

Bakhshipour

Hespen

Haghighi

et al. 2021

Water

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Structural resilience describes urban drainage systems’ (UDSs) ability to minimize the frequency and magnitude of failure due to common structural issues such as pipe clogging and cracking or pump failure. Structural resilience is often neglected in the design of UDSs. The current literature supports structural decentralization as a way to introduce structural resilience into UDSs. Although there are promising methods in the literature for generating and optimizing decentralized separate stormwater collection systems, incorporating hydraulic simulations in unsteady flow, these approaches sometimes require high computational effort, especially for flat areas. This may hamper their integration into ordinary commercially designed UDS software due to their predominantly scientific purposes. As a response, this paper introduces simplified cost and structural resilience indices that can be used as heuristic parameters for optimizing the UDS layout. These indices only use graph connectivity information, which is computationally much less expensive than hydraulic simulation. The use of simplified objective functions significantly simplifies the feasible search space and reduces blind searches by optimization. To demonstrate the application and advantages of the proposed model, a real case study in the southwest city of Ahvaz, Iran was explored. The proposed framework was proven to be promising for reducing the computational effort and for delivering realistic cost-wise and resilient UDSs.

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The Negative Impact of Blockage on Storm Water Drainage Network

Cited by 12 publications

References 13 publications

A Novel Feature Selection Based on VMD and Information Gain for Pipe Blockages

A Novel Feature Selection Based on VMD and Information Gain for Pipe Blockages

Experimental study on the buffering effects of urban trees group in dike-break floods

Integrating Structural Resilience in the Design of Urban Drainage Networks in Flat Areas Using a Simplified Multi-Objective Optimization Framework

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