AISCT
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Regulatory Alignment & Defensible Data Quality Objectives (DQO)

Operationalizing CCME Section 5.5.1, U.S. EPA Field Analytical Guidance, AER Directive 085, and CSA Z769 through automated hardware standardization and real-time QA/QC protocol enforcement.

Foundational Regulatory References

Canadian Council of Ministers of the Environment (CCME)

  • CCME Guidance Manual for Environmental Site Characterization in Support of Environmental and Human Health Risk Assessment, Volume 1 (2016): The primary Canadian guidance document for environmental site characterization. AISCT was developed in direct alignment with this guidance across multiple sections.
  • Section 5.5.1 — Headspace Vapour Tests: Recognizes headspace vapour testing as a field analytical method for VOC/hydrocarbon screening. Aurora operationalizes an significantly advances this approach through standardized, AI-driven analysis.
  • Section 2.2 — Phased Investigation Approach: Aurora, Sal, and Petro all support the phased site characterization model described in CCME guidance, from Phase II through delineation and remediation monitoring.
  • Section 3 — Quality Assurance/Quality Control: The AISCT QA/QC framework (calibration records, bump tests, blanks, duplicates, triplicates) was designed to meet the data quality objectives described in this section.
  • Section 2.8 — Validate and Interpret Data: The DSS analytics engine supports data validation and interpretation in real time, consistent with CCME guidance on data quality and uncertainty management.
  • CCME Canadian Soil Quality Guidelines (CSQG): Sal data is interpretable against CCME CSQG chloride and salinity benchmarks. Petro data aligns with CCME PHC fraction criteria (F2, F3).

U.S. Environmental Protection Agency (EPA)

  • EPA Documentation on Field Analytical Methods: U.S. EPA guidance recognizes structured, reproducible field analytical methods as appropriate tools for environmental site characterization when properly validated and documented.
  • EPA Research on Soil Heterogeneity and Sampling Variability: EPA documentation confirming that heterogeneity introduces approximately 19x more variability than interlaboratory analytical method selection — the foundational evidence for high-density sampling as the primary uncertainty reduction strategy.
  • EPA Best Management Practices for Soil Sampling (EPA 542-F-10-010): Supports the density, precision, and QA/QC principles embedded in the AISCT system design.
  • EPA Guidance on Systematic Planning Using the Data Quality Objectives Process: The DSS population-based analysis and exceedance probability framework is consistent with EPA DQO principles for defensible environmental data collection.

Alberta Energy Regulator (AER)

  • AER Directive 085 — Upstream Petroleum Industry Spill Reporting and Curation: Sal is designed to support AER-compliant spill investigation and reporting for salt releases from upstream petroleum operations.
  • Alberta Tier 1 Soil and Groundwater Remediation Guidelines: Petro and Sal generates sodium, chloride and hydrocarbon field data directly interpretable against Alberta Tier 1 criteria for salinity and hydrocarbon parameters.

CSA Group

  • CSA Z769 — Phase II Environmental Site Assessment: The AISCT approach to phased, QA/QC-documented field characterization is consistent with CSA Z769 requirements for Phase II ESA programs.
  • CSA guidance on environmental data quality: AISCT's structured approach to duplicates, triplicates, calibration verification, and documented QA/QC aligns with CSA expectations for defensible environmental data.

How AISCT Operationalizes the Guidance

Regulatory guidance has consistently recommended practices that conventional field instrumentation could not reliably execute at field scale: high-density sampling, structured QA/QC, data-driven sample selection, and heterogeneity-aware statistical interpretation. AISCT was engineered to make these practices operationally practical — not aspirational.

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