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Title: State Assistance with Risk-Based Data Management: Inventory and needs assessment of 25 state Class II Underground Injection Control programs. Phase 1

Technical Report ·
DOI:https://doi.org/10.2172/10158305· OSTI ID:10158305

As discussed in Section I of the attached report, state agencies must decide where to direct their limited resources in an effort to make optimum use of their available manpower and address those areas that pose the greatest risk to valuable drinking water sources. The Underground Injection Practices Research Foundation (UIPRF) proposed a risk-based data management system (RBDMS) to provide states with the information they need to effectively utilize staff resources, provide dependable documentation to justify program planning, and enhance environmental protection capabilities. The UIPRF structured its approach regarding environmental risk management to include data and information from production, injection, and inactive wells in its RBDMS project. Data from each of these well types is critical to the complete statistical evaluation of environmental risk and selected automated functions. This comprehensive approach allows state Underground Injection Control (UIC) programs to effectively evaluate the risk of contaminating underground sources of drinking water, while alleviating the additional work and associated problems that often arise when separate data bases are used. CH2M Hill and Digital Design Group, through a DOE grant to the UIPRF, completed an inventory and needs assessment of 25 state Class II UIC programs. The states selected for participation by the UIPRF were generally chosen based on interest and whether an active Class II injection well program was in place. The inventory and needs assessment provided an effective means of collecting and analyzing the interest, commitment, design requirements, utilization, and potential benefits of implementing a in individual state UIC programs. Personal contacts were made with representatives from each state to discuss the applicability of a RBDMS in their respective state.

Research Organization:
CH2M Hill, Reston, VA (United States); Digital Design Group, Inc. (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
FG22-91MT91003
OSTI ID:
10158305
Report Number(s):
DOE/MT/91003-T7-Attach.A; ON: DE94013188; BR: AC1510100
Resource Relation:
Other Information: PBD: Jul 1992
Country of Publication:
United States
Language:
English