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Reducing drinking water supply chemical contamination: risks from underground storage tanks
Richard T Enander1, R Choudary Hanumara, Hisanori Kobayashi
1Rhode Island Department of Environmental Management, 235 Promenade Street, Providence, RI 02908, USA. richard.enander@dem.ri.gov
An alternative regulatory model using technical assistance tools can improve underground storage tank compliance. This cost-effective approach allows for reduced inspections at low-risk facilities without compromising public health.
Area of Science:
- Environmental Science
- Environmental Engineering
- Regulatory Science
Background:
- Drinking water safety is threatened by hazardous material releases from underground storage tanks (USTs).
- Over 470,000 UST releases have occurred nationwide, with thousands of new leaks annually and many old leaks unremediated.
- Current regulatory approaches involve rigorous requirements and facility-by-facility inspections.
Purpose of the Study:
- To evaluate an alternative, evidence-based intervention for reducing petroleum releases from commercial USTs in Rhode Island.
- To determine if a new regulatory model can be a cost-effective alternative to traditional inspection programs for USTs.
Main Methods:
- The study focused on commercial facilities in Rhode Island storing petroleum products in underground tanks.
- An alternative regulatory model emphasizing technical assistance tools was implemented and evaluated.
- Compliance performance was measured to compare the new model against traditional methods.
Main Results:
- The alternative model demonstrated measurable improvements in compliance performance for underground storage tanks.
- This approach proved to be a cost-effective adjunct to traditional inspection and enforcement programs.
- Regulatory agencies can potentially reduce inspection frequency for low-risk facilities.
Conclusions:
- The alternative regulatory model effectively enhances UST compliance.
- Technical assistance tools offer a cost-effective supplement to traditional UST oversight.
- This model allows for optimized resource allocation in regulatory oversight without increasing public health risks.
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