PROCESS‐ORIENTED ESTIMATION OF SUSPENDED SEDIMENT CONCENTRATION¹ Journal Articles

abstract

• ABSTRACT: Least squares regression and ARIMA models were developed from suspended sediment data for the Ausable River, Southern Ontario, Canada. A poor correlation between discharge and suspended sediment concentration results from the dynamics of the physical system, including seasonality, antecedent conditions, and hysteresis. Regression model results were significantly improved by the division of the data set into seasons and the addition of simple. but physically meaningful variables. Misleading improvements obtained from the regression of sediment load and discharge are discussed. ARIMA models provided accurate forecasts of sediment concentration on a real‐time basis, but the rigorous data requirements limit their use in modeling suspended sediment concentrations in Canadian rivers.

authors

• Irvine, Kim Neil
• Drake, Julian John

status

• published 

publication date

• December 1987

has subject area

• 0406 Physical Geography and Environmental Geoscience (FoR)
• 0905 Civil Engineering (FoR)
• 0907 Environmental Engineering (FoR)
• Environmental Engineering (Science Metrix)

published in

• Journal of the American Water Resources Association  Journal

keywords

• Engineering
• Engineering, Civil
• Geology
• Geosciences, Multidisciplinary
• Physical Sciences
• Science & Technology
• Technology
• Water Resources

Digital Object Identifier (DOI)

• 10.1111/j.1752-1688.1987.tb00851.x

start page

• 1017

end page

• 1025

volume

• 23

issue

• 6