| Main Title |
Statistical estimation and visualization of ground-water contamination data |
| Author |
Boeckenhauer, R. K. ;
Cox, D. D. ;
Ensor, K. B. ;
Bedient, P. B. ;
Holder, A. W.
|
| Other Authors |
|
| CORP Author |
Rice Univ., Houston, TX. Dept. of Environmental Science and Engineering.;National Risk Management Research Lab., Ada, OK. Subsurface Protection and Remediation Div. |
| Publisher |
National Risk Management Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, |
| Year Published |
2000 |
| Report Number |
EPA/600/R-00/034 |
| Stock Number |
PB2001-104380 |
| OCLC Number |
47293045 |
| Subjects |
Groundwater--Computer simulation ;
Groundwater flow--Computer simulation
|
| Additional Subjects |
Ground water ;
Water pollution ;
Soil pollution ;
Statistical analysis ;
Visualization ;
Estimates ;
Remediation ;
Methods ;
Exploratory analysis
|
| Internet Access |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EHAD |
EPA/600/R-00-034 |
|
Region 1 Library/Boston,MA |
04/12/2002 |
| EJBD ARCHIVE |
EPA 600/R-00/034 |
|
Headquarters Library/Washington,DC |
09/29/2014 |
| EJBD |
EPA 600/R-00/034 |
|
Headquarters Library/Washington,DC |
07/13/2001 |
| EMBD |
EPA/600/R-00/034 |
|
NRMRL/GWERD Library/Ada,OK |
12/12/2003 |
| ESAD |
EPA 600-R-00-034 |
2 copies |
Region 10 Library/Seattle,WA |
06/02/2016 |
| NTIS |
PB2001-104380 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
ix, 49 p. : ill., charts ; 28 cm. |
| Abstract |
This work presents methods of visualizing and animating statistical estimates of ground water and/or soil contamination over a region from observations of the contaminant for that region. The primary statistical methods used to produce the regional estimates are nonparametric regression and geostatistical modeling to produce surface estimates with little outside intervention, whereas geostatistical modeling produces prediction errors. Finally, a method is proposed for estimating the total amount of contaminant present in a region. The proposed method models the data as a realization of a lognormal stochastic process and then capitalizes on conditional simulation to generate realizations of the modeled process from which the distribution of the total contaminant (or integral of the process) is estimated. |
| Notes |
"August 2000." "EPA/600/R-00/034." Includes bibliographical references (p. 49). |
