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OLS Field Name OLS Field Data
Main Title DO Model Uncertainty with Correlated Inputs.
Author Song, Q. ; Brown, L. C. ;
CORP Author Nanjing Univ. (China). ;Tufts Univ., Medford, MA. Dept. of Civil Engineering.;Environmental Research Lab., Athens, GA.
Publisher c1990
Year Published 1990
Report Number EPA/600/J-90/457;
Stock Number PB91-183335
Additional Subjects Water quality ; Computerized simulation ; Mathematical models ; Nitrification ; Biochemical oxygen demand ; Monte Carlo method ; Algae ; Sediments ; Oxygenation ; Stream flow ; Reprints ; Streeter-Phelps water quality model
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NTIS  PB91-183335 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 09/04/1991
Collation 19p
Abstract The effect of correlation among the input parameters and variables on the output uncertainty of the Streeter-Phelps water quality model is examined. Three uncertainty analysis techniques are used: sensitivity analysis, first-order error analysis, and Monte Carlo simulation. A modified version of the Streeter-Phelps model that includes nitrification, net algal oxygen production, and sediment oxygen demand is used. Analyses are performed for a wide variety of simulated stream flow conditions. Results show that the standard deviation of the predicted dissolved oxygen deficit (DOD) with correlated inputs potentially can be 20-40% larger than with independent inputs. Under conditions of moderate to high velocity, the reaeration and bio-oxidation coefficients are the dominant contributors to DOD uncertainty, while net oxygen production from algal activity and sediment oxygen demand are the major factors at low velocity. The largest effect of input correlation on DOD occurs in the vicinity of the sag point. Uncertainty results from first-order analysis differ by at most 10% from those of a Monte Carlo simulation for both correlated and independent inputs. (Copyright (c) 1990, ASCE.)
Supplementary Notes Pub. in Jnl. of Environmental Engineering, v116 n6 p1164-1180 Nov/Dec 90. Prepared in cooperation with Tufts Univ., Medford, MA. Dept. of Civil Engineering. Sponsored by Environmental Research Lab., Athens, GA.
NTIS Title Notes Journal article.
Title Annotations Reprint: DO Model Uncertainty with Correlated Inputs.
Category Codes 68D; 57H
NTIS Prices PC A03/MF A01
Primary Description 600/01
Document Type NT
Cataloging Source NTIS/MT
Control Number 119321803
Origin NTIS
Type CAT