My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
ARCHIVED REPORTS_XR0008332
EnvironmentalHealth
>
EHD Program Facility Records by Street Name
>
S
>
SANTA FE
>
23569
>
2900 - Site Mitigation Program
>
PR0541936
>
ARCHIVED REPORTS_XR0008332
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
5/18/2020 12:34:06 PM
Creation date
5/18/2020 11:04:48 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2900 - Site Mitigation Program
File Section
ARCHIVED REPORTS
FileName_PostFix
XR0008332
RECORD_ID
PR0541936
PE
2957
FACILITY_ID
FA0006149
FACILITY_NAME
RANCH MARKET
STREET_NUMBER
23569
Direction
S
STREET_NAME
SANTA FE
STREET_TYPE
RD
City
RIVERBANK
Zip
95376
CURRENT_STATUS
02
SITE_LOCATION
23569 S SANTA FE RD
QC Status
Approved
Scanner
LSauers
Tags
EHD - Public
Jump to thumbnail
< previous set
next set >
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
269
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
EM 1110-1-4001 <br /> 3 Jun 02 <br /> region Fitting SVE and rebound concentration data generally requires varying only four parameters in <br /> equation(F-20) C,o,V,f.,and a Case studies of site-specific parameter fitting are presented in the <br /> next section <br /> After fitting equation(F-20)to a series of extraction well concentrations associated with a rebound test, <br /> values for the fitted parameters can be checked for consistency with other existing data Vapor <br /> concentrations are often measured in monitoring points constructed in the vadose zone around extraction <br /> wells The monitoring points are frequently installed in low permeability soils which correspond to the <br /> immobile soil region These measured concentrations at the start of a rebound period should correspond <br /> roughly to the fitted average initial concentration in the immobile region Data from a number of <br /> monitoring points can be used to calculate an order-of-magnitude estimate for the total contaminated <br /> volume This volume can be compared with the fitted representative volume A review of boring logs or <br /> vertical flow profiles from PneuLoe can also yield an estimate for the fraction of soil which is mobile <br /> For example, a site with distinct sand and silt intervals would only require an estimate for the total <br /> thickness of sand divided by the total thickness of the vadose zone to arrive at an estimated mobile <br /> fraction in the soil for comparison with the fitted fraction Finally, the mass transfer coefficient can be <br /> estimated from vaporous diffusion theory in a slab Again, a review of well logs may reveal an average <br /> thickness for immobile soil regions (e g, thin clays or thick moist silts interbedded in sands)and <br /> previous measurements may yield the water saturation Looking at the leading term in the linear <br /> diffusion solution leads to the following estimate for the mass transfer coefficient, <br /> D o4/3 (1-S.)10/3 �2 <br /> a ; (F-22) <br /> R, a 2 <br /> where D is the vapor phase diffusion coefficient of the contaminant in free air and a is the half-length <br /> over which diffusion occurs (t e , half the thickness of typical immobile region intervals) The fitted and <br /> calculated mass transfer coefficients should be of the same order of magnitude <br /> As stated above, one of the goals of the rebound test is to evaluate the mass of contaminant remaining in <br /> the subsurface After fitting the model above to the concentrations observed with the rebound test, <br /> equation(F-1) can be used to generate an order-of-magnitude estimate for the total residual contaminant <br /> mass, <br /> mtotal —mm+in, = Cv,mRmOm(I-Sm)fmV+ Cv jRjOj(1-Sj)(1-fm)V (F-23) <br /> If the field conditions are adequately modeled by the two-region concept and the fitted parameters are <br /> consistent with other information, then the model of the rebound data yields powerful information <br /> regarding closure or optimization of the existing system For example,the calculations may yield <br /> estimates for a small residual mass and/or the attainment of cleanup goals For optimization,the model <br /> can predict durations of extraction to reach cleanup goals for various extraction rates <br /> F-6 Case Studies <br /> This section presents two case studies for the evaluation of SVE and rebound concentration data using <br /> the mathematical models descnbed in this appendix Both sites are located in California's Central <br /> • <br /> F-14 <br /> I <br />
The URL can be used to link to this page
Your browser does not support the video tag.