What is a common method for leak detection in UST systems?

Statistical inventory reconciliation is a common method for leak detection in underground storage tank (UST) systems because it involves a detailed analysis of the inventory records, delivery receipts, and environmental data over a set period. This method enables operators to identify discrepancies between the amount of product that should be in the tank and what is actually measured. By analyzing this data, operators can statistically determine if there is a significant loss of product that could indicate a leak.

Statistical inventory reconciliation not only provides a quantitative measure but also minimizes the potential for false alarms that might arise from other methods. It is particularly effective when used regularly as part of a comprehensive UST monitoring program, allowing for early detection of leaks and timely interventions to prevent environmental contamination.

Other methods like visual inspections could miss hidden issues since they rely on observable conditions, while pressure testing specifically assesses the integrity of the line connections rather than the overall tank system. Soil sampling, while useful in assessing past leak impacts, does not provide ongoing monitoring of the UST performance and may not indicate the presence of a current leak. Thus, statistical inventory reconciliation stands out as a proactive and data-driven approach to leak detection in UST systems.