Record Display for the EPA National Library Catalog

RECORD NUMBER: 15 OF 24

OLS Field Name OLS Field Data
Main Title Randomized Intervention Analysis of the Behavior of Bear Brook Watershed, Maine.
Author Uddameri, V. ; Norton, S. A. ; Kahl, J. S. ; Scofield, J. P. ;
CORP Author Maine Univ. at Orono.;Corvallis Environmental Research Lab., OR.
Publisher 1992
Year Published 1992
Report Number EPA/600/A-93/247;
Stock Number PB94-108008
Additional Subjects Watersheds ; Acidification ; Water chemistry ; Maine ; Statistical analysis ; Random processes ; Correlation techniques ; Geochemistry ; Deposition ; Bear Brooks(Maine) ; Bear Brooks Watershed Manipulation Project ; Aquatic Effects Research Program ; National Acid Precipitation Assessment Program
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB94-108008 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 02/27/1994
Collation 4p
Abstract
The Aquatic Effects Research Program (AERP) within the National Acid Precipitation Assessment Program (NAPAP), the U.S. federal plan for effects research for acidic deposition, funded the EPA Bear Brook Watershed in Maine (BBWM) project. The major objectives of BBWM were to (1) identify and quantify the major processes that control the surface water acidity, (2) assess the quantitative and qualitative response, at the watershed scale, to the artificially increased levels of acidic deposition to one of the two contiguous catchments, and (3) evaluate the ability of the existing models of acidification such as MAGIC and others to predict the effects of acidification on a watershed scale. Previous quantitative studies of the response of the watershed include the application of MAGIC to the watershed behavior after one year of manipulation, and mass balance studies after two years. Randomized Intervention Analysis (RIA) can be used to determine if a non-random change has occurred. This method was applied to BBWM to ascertain if a non-random change has occurred in the chemically manipulated watershed. RIA, and other statistical methods like auto correlation analysis and cross correlation analysis also provide new support for certain geochemical arguments.