Coping with Uncertainty: A Case Study in Sediment Transport and Nutrient Load Analysis
Publication: Journal of Water Resources Planning and Management
Volume 129, Issue 4
Abstract
We present a computational approach for identifying the significance of uncertainty in assessing the consequences of sediment and nutrient transport in a section of the Chattahoochee River south of Lake Lanier, as it passes through Atlanta, Georgia. Specifically, our analysis aims at identifying the key control and management actions, and the key scientific uncertainties about the fluvial system, that govern the attainment of a set of water quality objectives for the downstream boundary of the study area. To this end, we present a computational framework that integrates a recently developed sediment-nutrient dynamics model with a Monte Carlo-based methodology for model uncertainty evaluation. Our results suggest that, in general, reliable execution of controls and management actions is more crucial to meeting the target values for flow, sediment, and phosphorus concentration, than the scientific uncertainties associated with fluvial processes within the river channel. We also discuss the potential utility of our framework for accommodating the various science- and policy-derived uncertainties in the total maximum daily load process.
Get full access to this article
View all available purchase options and get full access to this article.
References
Beck, M. B.(1987). “Water quality modeling: A review of the analysis of uncertainty.” Water Resour. Res., 23(8), 1393–1442.
Beck, M. B., Fath, B. D., Parker, A. K., Osidele, O. O., Cowie, G. M., Rasmussen, T. C., Patten, B. C., Norton, B. G., Steinemann, A., Borrett, S. R., Cox, D., Mayhew, M. C., Zeng, W., and Zeng, X-Q. (2003). “Developing a concept of adaptive community learning: Case study of a rapidly urbanizing watershed.” Integrated Assessment, in press.
Chang, H. H. (1988). Fluvial processes in river engineering, Wiley, New York.
Chang, H. H. (1993). Generalized computer program FLUVIAL-12 mathematical model for erodible channels, Users manual, San Diego State Univ., San Diego.
Clean Water Initiative (CWI 2000). Final Rep., Metro Atlanta Chamber of Commerce and the Regional Business Coalition, Atlanta.
Duchesne, S., Beck, M. B., and Reda, A. L. L.(2001). “Ranking stormwater control strategies under uncertainty: The River Cam case study.” Water Sci. Technol., 43(7), 311–320.
Klepper, O., and Hendrix, E. M. T.(1994). “A method for robust calibration of ecological models under different types of uncertainty.” Ecol. Modell., 74, 161–182.
Morgan, M. G., and Henrion, M. (1990). Uncertainty: A guide to dealing with uncertainty in quantitative risk and policy analysis, Cambridge University Press, Cambridge, UK.
National Research Council (NRC). (2001). Assessing the TMDL approach to water quality management, National Academy Press, Washington, D.C.
Osidele, O. O. (2001). “Reachable futures, structural change, and the practical credibility of environmental simulation models.” PhD dissertation, Univ. of Georgia, Athens, Ga.
Parfitt, G. D., and Rochester, C. H. (1983). Adsorption from solution at the solid/liquid interface, Academic, New York.
Science Policy Council (SPC 1999). White paper on the nature and scope of issues on adoption of model use acceptability guidance, United States Environmental Protection Agency, Washington, D.C.
Spear, R. C., Grieb, T. M., and Shang, N.(1994). “Parameter uncertainty and interaction in complex environmental models.” Water Resour. Res., 30(11), 3159–3169.
Spear, R. C., and Hornberger, G. M.(1980). “Eutrophication in Peel Inlet. II: Identification of critical uncertainties via generalized sensitivity analysis.” Water Res., 14, 43–49.
United States Army Corps of Engineers and U.S. Waterways Experiment Station (1996). HEC-6: Version 4.1 scour and deposition in rivers and reservoirs, United States Army Corps of Engineers, Hydrologic Engineering Center, Davis, Calif.
United States Environmental Protection Agency (U.S. EPA 1991). “Guidance for water quality-based decisions: The TMDL process.” Rep. EPA 440/4-91-001, United States Environmental Protection Agency, Office of Water, Washington, D.C.
United States Environmental Protection Agency (U.S. EPA 1999). “Protocols for developing nutrient TMDLs.” Rep. EPA 841-B-88-007, United States Environmental Protection Agency, Office of Water, Washington, D.C.
Yang, C. T.(1973). “Incipient motion and sediment transport.” J. Hydraul. Eng., 99(10), 1679–1704.
Yang, C. T., and Molinas, A.(1982). “Sediment transport and unit stream power function.” J. Hydraul. Eng., 108(6), 774–793.
Yang, C. T., Treviño, M. A., and Simões, F. J. M. (1998). User’s manual for GSTARS 2.0 (generalized stream tube model for alluvial river simulation version 2.0), U.S. Department of the Interior, Bureau of Reclamation, Technical Service Center, Denver.
Zeng, W. (2000). “A model for understanding and managing the impacts of sediment behavior on river water quality.” PhD dissertation, Univ. of Georgia, Athens, Ga.
Zeng, W., and Beck, M. B.(2001). “Development and evaluation of a mathematical model for the study of sediment-related water quality issues.” Water Sci. Technol., 43(7), 47–54.
Information & Authors
Information
Published In
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Oct 1, 2002
Accepted: Nov 14, 2002
Published online: Jun 13, 2003
Published in print: Jul 2003
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.