This article explores the limitations of conventional field screening in environmental site assessments, particularly in heterogeneous soil conditions. It introduces the US EPA’s Triad Approach as a more dynamic and data-driven framework—emphasizing systematic planning, adaptive sampling, and real-time decision-making. AISCT (Artificial Intelligence Site Characterization Technology) is highlighted as a tool that enhances confidence in field data through real-time QA/QC metrics like %RPD and %COV. A field case study demonstrates how AISCT was used to identify inconsistencies in stockpile mixing, leading to improved treatment accuracy and cost savings. The article challenges outdated expectations of lab-to-field equivalence and advocates for a smarter, more transparent approach to site characterization.
Today, we dive deeper into the internal challenges that impact your operations, particularly focusing on the sustainability issues tied to moving soil—and the risks of mistakenly moving clean soil.
Receive exclusive emails about our services, company updates and events, career opportunities, and more.
