| 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 |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB2004-102948 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| 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. |
