Record Display for the EPA National Library Catalog
RECORD NUMBER: 772 OF 1150
|OLS Field Name||OLS Field Data|
|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,|
|Report Number||EPA/600/R-02/051a; EPA/600/R-02/051b|
|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 ;|
|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.
v. 1. Probabilistic model -- v. 2. User's guide to the Virulo 1.0 computer model.