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.
The Five Factors of Smart Laboratory Success
The Five Factors Research organizations are under pressure to cut costs while maintaining or increasing throughput. To improve their operations, many laboratories are considering investments in data management or support and automation systems like ELNs, LIMS or Robotics/HTS. Whatever the change that is introduced, there are many pitfalls on the way to delivery, roll-out and successful adoption. In our experience the key to successful completion of these change programmes is understanding and mitigating the...
Optimising laboratory environment for successful IVF outcomes with Geotech’s G100
The accuracy of incubator gases within an IVF laboratory plays a major role in success of IVF programs in any fertility clinic today. Given the crucial role that the incubator plays in the IVF process, the conditions within the incubator in an IVF laboratory must be optimal at all times to increase the likelihood of a successful assisted reproductive treatment. Geotech’s G100 portable CO2 analyser has been specifically designed to ensure optimum conditions are met within an incubator for high quality...
North Dakota Pipeline Release Data Collection and Communication - Case Study
Challenge A North Dakota pipeline released an estimated 21,000 bbls of crude oil. Antea Group was challenged by the client to assemble a team of specialists capable of effectively and efficiently collecting and communicating extent and migration data to key stakeholders. Due to the magnitude of the spill, spatial and environmental data needed to be collected electronically to expedite analysis and visualization. Furthermore, this incident required that laboratory data be managed by Antea Group to expedite...
Matrix Gemini LIMS at work in a Health Screening Laboratory Case Study
Eastern Deanery Aids Relief Program (Nairobi, Kenya) has improved data recording, speeded up sample throughput and allowed a direct link to existing electronic patient records by replacing its paper-based laboratory documentation system with Matrix Gemini LIMS.BackgroundEastern Deanery Aids Relief Program (EDARP) is a non-profit Christian faith-based organization which serves the health sector in Kenya and is registered under the Ministry of Health as a medical service provider. With affiliations to the Roman...
The eReefs data brokering layer for hydrological and environmental data
The environmental sciences are witnessing a data revolution as large amounts of data are being made available at an increasing rate. Many datasets are being published through operational monitoring programs, research activities and global earth observation virtual laboratories. An important aspect is the ability to query relevant metadata which can potentially provide useful information to discover, access and interpret environmental datasets, information about the data providers themselves, data services, data...