A state-of-the-art review for the prediction of overflow in urban sewer systems
S Ma, T Zayed, J Xing, Y Shao - Journal of Cleaner Production, 2024 - Elsevier
Sewer overflow (SO) is becoming a concerning issue since discharged wastewater contains
toxic substances and debris resulting in hazardous pollution to the surrounding environment …
toxic substances and debris resulting in hazardous pollution to the surrounding environment …
Predicting the urban stormwater drainage system state using the Graph-WaveNet
Abstract Graph Neural Networks (GNNs) have been applied to network data such as traffic
flow and water distribution systems, yet their use in predicting the state of urban stormwater …
flow and water distribution systems, yet their use in predicting the state of urban stormwater …
[PDF][PDF] Deep Learning Models for Flood Predictions in South Florida
Simulating and predicting water levels in river systems is essential for flood warnings,
hydraulic operations, and flood mitigations. In the engineering field, tools such as HEC-RAS …
hydraulic operations, and flood mitigations. In the engineering field, tools such as HEC-RAS …
Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques
Combined sewer overflows (CSOs), which typically occur during heavy rainfall events, pose
significant threats to both public health and the environment. These threats encompass …
significant threats to both public health and the environment. These threats encompass …
Intelligent sewage discharge control in a wastewater treatment plant during rainfall periods
J Stańczyk, E Burszta-Adamiak… - Urban Water …, 2023 - Taylor & Francis
Uncontrolled wastewater discharges have social and environmental consequences and
generate increased operational costs. Wastewater treatment plants (WWTPs) are vulnerable …
generate increased operational costs. Wastewater treatment plants (WWTPs) are vulnerable …
Evaluation and prediction of time overruns in Jordanian construction projects using coral reefs optimization and deep learning methods
J Shihadeh, G Al-Shaibie, M Bisharah… - Asian Journal of Civil …, 2024 - Springer
Within the complex domain of construction project management, the accurate anticipation of
time overruns is a significant obstacle, particularly within the specific context of the …
time overruns is a significant obstacle, particularly within the specific context of the …
Physic-informed neural network approach coupled with boundary conditions for solving 1D steady shallow water equations for riverine system
Shallow water equations (SWE) are the governing equations for the open channel flow. The
numerical solution is widely considered the most effective approach for solving the SWE in …
numerical solution is widely considered the most effective approach for solving the SWE in …
Optimal Control of Combined Sewer Systems to Minimize Sewer Overflows by Using Reinforcement Learning
ABSTRACT A combined sewer system (CSS) collects rainwater runoff, domestic sewage,
and industrial wastewater in the same pipe. The volume of wastewater can sometimes …
and industrial wastewater in the same pipe. The volume of wastewater can sometimes …
Prediction of Storm Water Overflow in Municipality Using Machine Learning
V Nunavath, SK Olsen - 2024 Sixth International Conference on …, 2024 - ieeexplore.ieee.org
In the past, storm water management relied on combined sewer systems that simultaneously
collected both rainwater and wastewater. When these systems become overloaded, they …
collected both rainwater and wastewater. When these systems become overloaded, they …
The future of artificial intelligence for wastewater networks
F Zeinali, C Sweetapple, S Bunney… - Novatech 2023, 2023 - hal.science
Climate change is leading to increased extreme rainfall and changes in precipitation
patterns, resulting in more urban floods and sewer network failures. Moreover, increasing …
patterns, resulting in more urban floods and sewer network failures. Moreover, increasing …