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RECORD NUMBER: 2 OF 4

OLS Field Name OLS Field Data
Main Title Predicting attenuation of viruses during percolation in soils /
Author Lyon, W. G. ; Faulkner, B. R. ; Khan, F. A. ; Chattopadhyay, S. ; Cruz, J. B.
CORP Author National Risk Management Research Laboratory (U.S.)
Publisher U.S. Environmental Protection Agency,
Year Published 2002
Report Number EPA/600/R-02/051B; EPA-68-C-98-138
Stock Number PB2004-102948
Subjects Herbicides--Biodegradation. ; Soil microbiology. ; Microorganisms--Counting. ; Agriculrural virology.
Additional Subjects Percolation ; Soils ; Viruses ; Microorganisms ; Prediction ; Attenuation ; Applications ; Users guide ; Computer models ; Flow parameters ; Probabilistic models ; Virulo
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000GTVW.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2004-102948 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 2 volumes : illustrations ; 28 cm.
Abstract
In this EPA document the conceptual, theoretical, and mathematical foundations for a predictive screening model were presented. In this current volume we present a User's Guide for the computer model that implements the probabilistic model. The model is a predictive screening model called Virulo, so named because of its use of the Monte Carlo method for predicting virus fate and transport. This document presents a general overview of the parameters used and how they can be modified to suit a particular predictive modeling scenario. In addition, a non-technical overview of the conceptual modeling approach is given. Some example applications of Virulo are presented.
Notes
"August 2002." Microfiche.