The scour depth that develops around bridge piers is known to be related to flow intensity, particle size of bed sediment, and pier dimensions. Earlier approaches to this issue have mainly relied on empirical formulas. Even numerical simulations have not been so successful due to problems associated with interactions between water flow and streambed morphology. This necessitates the application of an artificial intelligence (AI)-type approach to understanding the effects of local scour around bridge piers. Although previous studies reported that AI-based models are better predictors, they do not predict field-scale local scour well. Motivated by this, the present study reports on the use of data quality assessment with an artificial neural network (ANN) model for predicting field-scale scour depth around bridge piers. Both univariate and multivariate methods were applied and the predicted results are compared. For the multivariate method, the Euclidean distance method and Mahalanobis distance method were used and the predicted results are compared. The ANN model was first trained and validated using laboratory data and the model was applied to data obtained in laboratory experiments. The model was then applied to field data. Quantitative descriptions are given on how much the data quality assessment improves predictions based on the use of the ANN model.
Pilot of BACTcontrol at Aigües de Barcelona - Case Study
MicroLAN just started (Febr. 2017) to work under WP10 of Aquavalens with Aigües de Barcelona and CETaqua. This WP aims to obtain data on the occurrence of waterborne pathogens in different water types and implement and test the microbiological methods and tools for risk management in large water systems.The team consists of: Claudia Puigdomenech Serra David Baquero Gonzalez Arnau Pla Mateu Ruben Juarez Camara (all CETaqua) Gemma Saucedo Pages (Agbar) Joep Appels Rick Appels Jaap van den Dries (all...
NIROBOX Seawater Desalination for Coastal Resort - Case Study
PROJECT DETAILS LOCATION Guanacaste Province, Costa Rica CUSTOMER Reserva Conchal SOLUTION NIROBOX™ Containerized Seawater Desalination TECHNOLOGIES Disc Filtration, Ultrafiltration, Reverse Osmosis, and Remineralization Due to an ongoing local drought, Reserva Conchal – a beach resort, golf course, and spa in Costa Rica – was facing water scarcity for several years, with more years of drought expected in the future. This case study shows how Fluence introduced Costa Rica to containerized...
Seawater Treatment Yields Process Water for Power Plant - Case Study
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TORNADO Surface Aerators Reduce Odors at Wastewater Reservoir - Case Study
PROJECT DETAILS LOCATION Chicago, Illinois, U.S. CUSTOMER U.S. Army Corps of Engineers, for the Chicago O’Hare Reservoir SOLUTION Aeration of wastewater treatment reservoir TECHNOLOGIES 100-horsepower TORNADO® Surface Self-Aspirating Aerators The Chicago area’s wastewater authority wanted to add an aeration system to its three storm and wastewater reservoirs to avoid stagnant water. Reservoirs often held wastewater for a significant amount of time before it could be processed by the treatment...
WWTP with MABR Technology in Rural Israel - Case Study
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