Training: HON Rule Fenceline Monitoring Readiness and Execution

Trihydro’s HON Rule fenceline monitoring training is designed for facility personnel responsible for implementing, managing, or overseeing fenceline monitoring programs under the Hazardous Organic NESHAP (HON) Rule. The course supports operators during program startup and early execution when monitoring practices, data workflows, and interpretation approaches begin forming the long‑term compliance record.

Led by experienced air quality and fenceline monitoring professionals, the training focuses on translating HON Rule regulatory requirements into practical, repeatable field and data workflows. Emphasis is placed on early‑stage execution, data interpretability, and documentation practices that support defensible compliance and reporting readiness as monitoring progresses toward quarterly reporting and public disclosure.

Training is tailored to your facility’s applicable analytes, monitoring methods, site layout, and operational context. Content can be adapted for new monitoring teams or for facilities preparing to stabilize and refine existing programs during the first months of sampling.

Participants receive practical instruction covering core HON fenceline monitoring competencies:

• Overview of HON fenceline monitoring requirements and compliance timelines
• Sampling cadence and execution for Methods 325A/325B and Method 327
• Monitoring network performance and early data interpretation considerations
• Field execution consistency, quality control, and documentation practices
• Managing sampling interruptions and maintaining data continuity
• Integrating meteorological and operational context to support defensible results
• Indicators of program stability during the first six months of monitorings

Course length and depth vary based on facility complexity, applicable analytes, and regulatory scope. Virtual delivery is available; however, on‑site sessions are recommended to better align training with site‑specific monitoring locations, workflows, and operational conditions.