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Importance of Field Data in Stream Water Quality Modeling Using QUAL2E-UNCAS
Authors:Thomas O Barnwell  Jr  Linfield C Brown  Raymond C Whittemore
Affiliation:1Senior Science Advisor, National Center for Environmental Research, U.S. Environmental Protection Agency (8723R), Washington D.C.?20460.
2Professor, Dept. of Civil Engineering, Tufts Univ., Medford, MA?02155.
312 Tern Way, Merrimack, NH?03054.
Abstract:The Stream Water Quality Model QUAL2E-UNCAS is widely used to simulate the dissolved oxygen of streams under steady flow conditions. It is the latest version of a series of water quality models that have a long history in systems analysis in water quality management, and has been applied to a number of streams and rivers around the world. This paper summarizes the conceptual representation of the computer model, briefly reviews a number of applications of the model that have been published in open literature, describes the included uncertainty analysis capability, and discusses the importance of field data in model predictions. Experience with the QUAL2E model has proven the importance of site-specific data to model predictions. An accurate representation of the properties of the system significantly contributes to simulation success.
Keywords:Water quality  Streams  Simulation models  Field investigations  Model verification  Error analysis  Monte Carlo method  
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