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Data quality and uncertainty in reservoir water-quality modeling
Abstract - AWRA Annual Spring Speciality
Conference on Water Quality Monitoring and Modeling
By Jerad D. Bales
Abstract
Water-quality models, whether mechanistic or stochastic, should be developed by
using spatially and temporally detailed, synoptically collected data for calibration
and testing. Often, however, models are developed with only limited data. Even when
very detailed data sets are collected for modeling applications, uncertainty remains in
model simulations because of uncertainty in data (errors and lack of complete
temporal and spatial coverage) and in model formulations.
A laterally averaged hydrodynamic and chemical transport model was constructed for
each of three Catawba River Basin reservoirs in North Carolina (table 1) by using
the CE-QUAL-W2 modeling framework. The 12,400-km2 Catawba River Basin
extends from the mountains of the Blue Ridge physiographic province in North
Carolina to Lake Wateree, located in the low rolling terrain of the Piedmont Province
of South Carolina. In North Carolina, the Catawba River Basin has the highest
population density and one of the highest growth rates of all of the 17 major river
basins in the State. The only extended free-flowing reach of the river in North
Carolina is between Bridgewater Dam at Lake James, the upstream-most reservoir,
and the headwaters of Lake Rhodhiss. Thirteen of the 14 reservoirs on the river were
constructed before 1930.
Citation:
Bales, J.D., 2001, Data quality and uncertainty in reservoir water-quality modeling
[abs.], in Warwick, J.J., ed., Proceedings, AWRA Annual Spring Speciality
Conference on Water Quality Monitoring and Modeling, April 30-May 2, 2001, San
Antonio, Tex.: American Water Resources Association, p. 113.
For more information, contact |
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North Carolina Water Science Center
U.S. Geological Survey
3916 Sunset Ridge Road
Raleigh, North Carolina 27607
(919) 571-4000
E-mail
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J.J. Warwick, Professor and Chair, Department of Environmental
Engineering Sciences, University of Florida, 217 A.P. Black Hall, Gainesville, FL
32611-6450; telephone 352-392-0841; fax 352-392-3076; e-mail warwick@ufl.edu
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