Engineering Commons^™

Assessing Subjectivity In Environmental Sensor Data Post Processing Via A Controlled Experiment, Amber Spackman Jones, Jeffery S. Horsburgh, David P. Eiriksson

Publications

Collection of high resolution, in situ data using environmental sensors is common in hydrology and other environmental science domains. Sensors are subject to drift, fouling, and other factors that can affect the quality of the measurements and their subsequent use for scientific analyses. The process by which sensor data are reviewed to verify validity often requires making edits in post processing to generate approved datasets. This quality control process involves decisions by technicians, data managers, or data users on how to handle problematic data. In this study, an experiment was designed and conducted where multiple participants performed quality control post …

Environmental Engineering Systems, Mark Houck

All ECSTATIC Materials

Introduces the concepts and applications of systems analysis in environmental engineering. Tools and methodologies of systems analysis are applied to improve the understanding and resolution of complex environmental engineering problems related to air, soil, and water quality and pollution. Scientific, engineering, political, social, legal, regulatory, medical, economic, and financial impacts of environmental engineering decisions are considered. Course taught at George Mason University.

Final Report For Irrigation Water Quality Monitoring Of The Jordan River, 2008, Richard C. Peralta, Bassel Timani

Civil and Environmental Engineering Faculty Publications

The goal of the Jordan River Water Quality Project is to assess the quality of irrigation water removed from the Jordan River at three diversion locations: Jordan Narrows (JN), Cahoon and Maxfield (CM), and Jordan & Salt Lake Canal (JSLC). During 2008, Salt Lake City Corporation personnel took water samples on 12 dates from April 18 to September 25, 2008. Utah State University Analytical Laboratories (USUAL), an EPAcertified laboratory, performed water analyses on the samples. USUAL is located at Utah State University (USU) in Logan, Utah.

Development Of Linear Water Quality Constraints For Optimal Groundwater Management, Richard C. Peralta, J. Solaimanian, S. A. Prathapar, C. L. Griffis

Civil and Environmental Engineering Faculty Publications

Proposed is a procedure for incorporating solute transport as linear constraints within computer models for optimizing regional groundwater extraction strategies. . MODCON procedure uses linear goal programming. embedded linearized equations for flow and solute transport. and MOC simulation model. Assumed is 20 flow and solute transport. and a dispersed conservative contaminant.

A Statistical Comparison Of A Direct Filtration And A Conventional Water Treatment Facility In The Intermountain Region, Susan K. Burns, V. Dean Adams

Reports

Interest in low-cost direct filtration facilities and their effectiveness in treating the potable water sources of the Intermountain Region is increasing as the need for treated water supplies increase. Direct filtration is a water treatment scheme which does not include sedimentation and in some cases flocculation. Compared to conventional treatment, direct filtration has lowered capital costs, reduced space requirement, and decreased sludge quantities. Moreover, the direct filtration process may offer large reductions in coagulant dosages and costs.

Currently information comparing a direct filtration system to a conventional water treatment system in the Intermountain area is not readily available. The specific …

Water Quality Enhancement By Point Destratification, Richard C. Peralta, J. E. Garton

Civil and Environmental Engineering Faculty Publications

No abstract provided.

Development Of A Water Quality Simulation Model Applicable To Great Salt Lake, Utah, Craig T. Jones, Calvin G. Clyde, William J. Grenney, J. Paul Riley

Reports

The development of a model capable of predicting the long term (seasonal) . distribution of water quality constituents within Great Salt Lake was undertaken as a portion of the ongoing Great Salt Lake project at Utah State University. The overall goal of the project is the development of a modeling framework to assist relevant decision making bodies in the comprehensive management of the Great Salt Lake system. Phase I of the project provided the overall structural framework for management of the Great Salt Lake system, identified data needs, and established priorities for the development of submodels for incorporation into the …

Development And Preliminary Application Of Mathematical Models To The Weber Basin, W. J. Grenney, D. S. Bowles, M. D. Chambers, J. P. Riley

Reports

The adoption of stream standards, whether for direct application or for the establishment of realistic effluent standards, creates a need to predict the impact of pollution loads on river water quality during critical flow periods or as the result of future user demands. Because of the complexity of aquatic systems, mathematical models are an excellent medium for bringing together the state-of-the-art knowledge from a variety of disciplines into a form which can be readily applied to practical problems. Applying a mathematical model to a river system has the added advantage of providing a structure for the systematic consideration of the …

Planning For Water Quality In The Bear River System In The State Of Utah, Utah Water Research Laboratory

Reports

No abstract provided.