Record Display for the EPA National Library Catalog

RECORD NUMBER: 17 OF 17

OLS Field Name OLS Field Data
Main Title Vertical Diffusion in Small Stratified Lake: Data and Error Analysis.
Author Hondzo, M. ; Ellis, C. R. ; Stefan, H. G. ;
CORP Author Minnesota Univ.-Duluth. St. Anthony Falls Hydraulic Lab.;Environmental Research Lab.-Duluth, MN.
Publisher cOct 91
Year Published 1991
Report Number EPA-R-816230-01-0; EPA/600/A-93/003;
Stock Number PB93-149185
Additional Subjects Ryan Lake ; Stratification ; Thermal conductivity ; Sediments ; Limnology ; Temperature gradients ; Turbulent diffusion ; Thermoclines ; Eddies ; Heat flux ; Heat transfer ; Error analysis ; Charts ; Mathematical models ; Minnesota ; Reprints ; Hypolimnion
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB93-149185 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/12/1993
Collation 18p
Abstract
Water temperature profiles were measured at 2-min intervals in a stratified temperate lake with a surface area of 0.06 sq km and a maximum depth of 10 m from May 7 to August 9, 1989. The data were used to calculate the vertical eddy diffusion coefficient K sub z in the hypolimnion. The depth was representative of a large number of lakes in the north central United States. K sub z was calculated over time intervals of 1 to 15 days and varied from 0.001 to 0.1 sq cm/s. A numerical model was developed for heat conduction in the sediments, and heat flux between water and sediments was incorporated into the relationship from which eddy diffusivity was estimated. Heat flux between water and lake sediments, a term commonly neglected, was found to be important in the K sub x estimation. K sub z values were related to stratification stability as measured by the Brunt-Vaisala frequency N using Welander's expression of the form K sub z = a(N(2+))(b+). The longest time interval (15 days) and the smallest depth increment (1 m) used in the study were found to give the best K sub z estimation. (Copyright (c) 1991, ASCE.)