Record Display for the EPA National Library Catalog


Main Title Predicting attenuation of viruses during percolation in soils /
Author Faulkner, B. R. ; Lyon, W. G. ; Khan, F. A. ; Chattopadhyay, S. ;
CORP Author National Risk Management Research Laboratory (U.S.); Environmental Protection Agency, Washington, DC.; ManTech Environmental Research Services Corp., Corvallis, OR.; Battelle Memorial Inst., Columbus, OH. Environmental Science Dept.
Publisher U.S. Environmental Protection Agency,
Year Published 2002
Report Number EPA/600/R-02/051a; EPA/600/R-02/051b
Stock Number PB2004-102947
OCLC Number 55089076
Subjects Herbicides--Biodegradation. ; Soil microbiology. ; Microorganisms--Counting. ; Agriculrural virology.
Additional Subjects Percolation ; Soils ; Viruses ; Microorganisms ; Prediction ; Attenuation ; Applications ; Literature reviews ; Differential equations ; Mass transfer ; Probabilistic models ; Inactivation rates ; Modeling ; Sensitivity analysis ;
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EIAD  EPA/600/R-02/051a,b Region 2 Library/New York,NY 05/07/2004
EJBD ARCHIVE EPA 600/R-02/051 Headquarters Library/Washington,DC 03/23/2009
EJED  EPA 600-R-02-051a OCSPP Chemical Library/Washington,DC 03/06/2013
EJED  EPA 600-R-02-051b OCSPP Chemical Library/Washington,DC 03/06/2013
EMBD  EPA/600/R-02/051 a-b NRMRL/GWERD Library/Ada,OK 05/04/2005
ERAD  EPA 600/R-02-051a-b Region 9 Library/San Francisco,CA 09/10/2004
ESAD  EPA 600-R-02-051a,b Region 10 Library/Seattle,WA 12/03/2004
NTIS  PB2004-102947 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 2 volumes : illustrations ; 28 cm.
We present a probabilistic model for predicting virus attenuation. Monte Carlo methods are used to generate ensemble simulations of virus attenuation due to physical, biological, and chemical factors. The model generates a probability of failure to achieve a chosen degree of attenuation. We tabulated data from related studies to develop probability density functions for input parameters, and utilized a database of soil hydraulic parameters based on the 12 USDA soil categories. Regulators can use the model based on limited information such as boring logs, climate data, and soil survey reports for a particular site of interest. The model may be most useful as a tool to aid in setting new septic systems.
"August 2002."
Contents Notes
v. 1. Probabilistic model -- v. 2. User's guide to the Virulo 1.0 computer model.