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.
MSD’s Morris forman water quality treatment center - Dual stage custom system - Case study
Summary MSD’s Morris Forman Water Quality Treatment Center is designed to treat 120 MGD of raw wastewater. In addition, all of the biosolids from Louisville’s other treatment plants are processed at the Morris Forman plant. Up until several years ago, air from much of the solids handling processes were treated by fume incineration. MSD was spending over $670,000 per year for natural gas for operation of the fume incineration process. In 2004, the decision was made to convert to biological treatment...
Contaminated soils and sludge treatment plant - Case Study
Client: Ecosistem Group, Lamezia Terme (CZ) – Italy Challenge: to transform waste into product! The Client possesses a large plant for the treatment of products contaminated with hazardous substances and materials, recycling of recovered materials and disposal of non-recyclable waste, which is considered highly innovative and technologically advanced in the field of environmental protection. Solution: Design and production of a plant for the treatment of contaminated soils and muds by Baioni’s...
Ruzomberok (Slovakia) Industrial WWTP - Case Study
Number of Tanks: 4Total Volume: 10,000 m³Water Depth: 4.0 mSOTR Standard Oxygen Transfer Rate: 5,095 kgO2/hTotal Airflow: 61,680 Nm3/hNo. of AEROSTRIP® Diffusers: 3,000Ružomberok is a city in northern Slovakia with around 30,000 inhabitants.The local WWTP is built for 600,000 P.E. (BOD load; 700,000 P.E. hydr.). More than 95% of organic load comes from the local paper mill (Mondi SCP, a.s.).Ružomberok WWTP relies on the quality of AEROSTRIP® since 1996.High Efficiency & Long Life Cycle for...
Water Treatment Optimization - Case Study
Drinking water treatment in North America has stringent requirements for effluent water quality, with a great amount of attention being drawn to the presence of hazardous disinfection by-products (DBPs) persisting through water distribution systems. The operation of water treatment plants involves addition of various mixing agents to help with coagulation and settling of organics in the raw water supply, as well as the addition of chlorine for final disinfection. Optimizing water treatment to reduce the risk of...
Groundwater Exploration in South Sudan - Case Study
Purpose The Radler Foundation, Water Harvest International, and East African Ministries are humanitarian organizations working to bring water wells to villages in rural areas of Africa. In February 2015, they wanted better information about where to drill a well in the Yeri Mozo Village in South Sudan in order to provide access to safe and clean water—and improve the quality of life—for local villagers. Process Selecting groundwater sites and performing groundwater exploration are far easier tasks...