Record Display for the EPA National Library Catalog


Main Title Groundwater Geochemistry of Area 6, Dover Air Force Base, Dover, Delaware.
Author Klier, N. J. ; Klecka, G. M. ; Lutz, E. J. ; Ellis, D. E. ; Chapelle, F. H. ;
CORP Author Dow Chemical Co., Midland, MI. Health and Environmental Research Labs. ;Du Pont de Nemours (E.I.) and Co., Wilmington, DE. Engineering - Coporate Remediation Group. ;Geological Survey, Columbia, SC.;National Risk Management Research Lab., Ada, OK. Subsurface Protection and Remediation Div.
Publisher Apr 1999
Year Published 1999
Report Number EPA/600/R-99/051;
Stock Number PB99-162430
Additional Subjects Ground water ; Water chemistry ; Water pollution sampling ; Biogeochemistry ; Chemical analysis ; Hydrocarbons ; Plumes ; Aquifers ; Environmental transport ; Spatial distribution ; Biodegradation ; Monitoring wells ; Air Force facilities ; Tables(Data) ; Maps ; Dover Air Force Base ; Dover(Delaware) ; Kent County(Delaware) ; Natural attenuation ; Bioremediation ; Chlorinated solvents ; Volatile organic compounds
Library Call Number Additional Info Location Last
NTIS  PB99-162430 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 440p
This report reviews and interprets groundwater chemistry data collected at the Dover Air Force Base (AFB), Area 6, from July 1995 through March 1997. The work was conducted as part of the Remediation Technologies Development Forum (RTDF) Boremediation of Chlorinated Solvents Action Team field project on natural attenuation at Dover AFB. To characterize the groundwater chemistry, samples were taken on a triannual basis and analyzed for volatile organic compounds, light hydrocarbon gases, as well as conventional parameters and biogeochemical indicators. Groundwater was collected from a series of approximately 40 to 45 sets of paired (shallow and deep) monitoring wells located throughout the site at six different sampling events - July 1995, November 1995, March 1996, July 1996, November 1996, and March 1997. Evaluation and interpretation of the data generated from these sampling events resulted in the development of a site conceptual model.