Record Display for the EPA National Library Catalog

RECORD NUMBER: 10 OF 20

OLS Field Name OLS Field Data
Main Title Non-Point Source Studies on Chesapeake Bay. VII. Metals Discharge from the Rhode River Watershed in 1975.
Author Wu., Tung L. ;
CORP Author Smithsonian Institution, Edgewater, Md. Chesapeake Bay Center for Environmental Studies. ;Chesapeake Research Consortium, Inc., Baltimore, Md.;National Science Foundation, Washington, D.C. Research Applied to National Needs.;Environmental Protection Agency, Washington, D.C.
Year Published 1977
Report Number NSF-ENV76-22045 ;EPA-R-804 536-01; NSF/RA-770385;
Stock Number PB-276 997
Additional Subjects Metals ; Water pollution ; Rhode River ; Chesapeake Bay ; Tables(Data) ; Land use ; Runoff ; Concentration(Composition) ; Iron ; Manganese ; Zinc ; Chromium ; Cadmium ; Copper ; Lead(Metal) ; Potassium ; Calcium ; Magnesium ; Periodic variations ; Correlation techniques ; Maryland ; Heavy metals ; Nonpoint sources ; Organic loading ; Path of pollutants
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB-276 997 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/23/1988
Collation 203p
Abstract
This study attempts to: (1) Determine the water quality (metals composition) in the streams of the Rhode River watershed; (2) estimate the chemical loadings of certain metals due to land runoff from test watershed basins; (3) investigate the relationship between land utilization type and metals area yield; (4) determine the input sources of heavy metals in the runoff water; and (5) study the transport mechanism of metals. In order to study the effect of land utilization on the metals discharge to the receiving water, the land use analysis of each basin was compared with the metals discharge. The metals studied included iron (Fe), manganese (Mn), Zinc (Zn), chromium (Cr), cadmium (Cd), copper (Cu), and lead (Pb). Potassium (K), calcium (Ca), and magnesium (Mg) were also intensively studied because of the large quantities applied to agricultural land as plant nutrients. Calculation of the area yield loading rate of a single land use category was attempted with a statistical modeling system. Small field size basins are now also used to derive area yield loading rates from each land use category.