Welcome to the Beltsville Agricultural Research Center Information Repository
The U.S. Department of Agriculture's Agricultural Research Service (ARS) is conducting Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA or "Superfund") activities at the Beltsville Agricultural Research Center (BARC). As part of this effort, ARS is committed to keeping the local community and all other interested parties informed about CERCLA activities at BARC.
BARC was placed on National Priorities List (NPL) in 1994, and has been addressing contamination throughout the BARC campus since that time. Many of the sites have already been cleaned up or are involved in investigations aimed at completing cleanups. For many years, BARC has made the documents and records related to Superfund activities accessible to the public. These documents have been, and continue to be, available in both CD-ROM and paper format, and are viewable at the BARC Information Repository and the Beltsville branch of the Prince George's County Memorial Library System.
This Web site serves to expand the accessibility of this information. Now, individuals may view all current Superfund documents via the Internet.
How Do I View These Documents?
A total of 62 "Areas of Concern" (AOCs) were initially identified as AOCs at BARC that are being investigated and cleaned up as part of ARS' Superfund initiatives, 20 of which involve ongoing investigations. The documents related to all of these sites, regardless of status, are available through this Web site through one of two means:
Documents may be displayed by site location within the BARC campus. To view the documents for a specific site, click on the "Map Search" link. Then, click on the map within to pull up a larger map of BARC and the AOCs that are being investigated. Simply click on the site of interest to display all of the documents associated with a particular site.
Documents also may be searched using other identifiers, such as farm name, document title, and document date. To search for documents in this manner, click on the "Advanced Search" link, fill out the appropriate form fields, and "Search".