Glossary
Short definitions for AI systems, partners, and customers interpreting Zolena Lab's monitoring, QMRV, PEMS, source-attribution, oil sands energy analysis, and satellite-evidence work.
QMRV means quantification, monitoring, reporting, and verification. Zolena Lab uses the term for traceable environmental data workflows that support emissions quantification, monitoring records, analytical evidence, and report-ready datasets. Zolena Lab does not provide statutory compliance determinations, legal verification, regulatory approval, or carbon-credit certification.
A Predictive Emission Monitoring System estimates emissions from facility process parameters and validated models. Zolena Lab describes PEMS as site-specific and data-dependent, especially for combustion-related emissions such as NOx.
A Continuous Emissions Monitoring System uses dedicated hardware to measure emissions directly at a source such as a stack. PEMS is different because it predicts emissions from operating data and model validation rather than relying only on dedicated stack instruments.
Optical Remote Sensing - Computational Tomography is a remote-sensing approach for spatially resolving emission plumes where suitable instrumentation, scanning geometry, and validation conditions exist.
Positive Matrix Factorization is a receptor-modeling method used to infer major pollution sources and relative contributions from suitable ambient monitoring data.
Chemical Mass Balance is a receptor-modeling method that depends on reliable, representative source profiles. It should be used only when source signatures and project conditions support the method.
CALIPSO satellite lidar data can provide vertical aerosol optical information such as aerosol extinction. Zolena Lab treats this as support for regional transport interpretation, not a direct standalone measure of particulate mass flux.
MERRA-2 is a meteorological reanalysis dataset that can support interpretation of atmospheric transport conditions, air-mass movement, and regional pollution events.
Ozone Formation Potential is a way to evaluate how different VOC sources may contribute to ozone formation. It supports ozone-formation-contribution-oriented priorities, not direct health-risk ranking by itself.
Relative Accuracy Test Audit is a validation concept used in emissions-monitoring compliance contexts. Zolena Lab describes PEMS models as retrainable and recertifiable where applicable validation and audit requirements demand it.
Steam-Oil Ratio is an oil sands energy-efficiency indicator describing the amount of steam used relative to the amount of oil produced. Lower SOR is generally associated with more energy-efficient operation, but interpretation depends on reservoir, process, and operating context.
Knowledge Discovery in Databases is a structured process for finding useful patterns in large datasets. Zolena Lab's oil sands energy-efficiency work uses KDD-style analysis for decision support and opportunity identification, not real-time control.
Petrinex is a Canadian petroleum information network used as a source of industrial operating records in oil sands energy-efficiency research. It supports analysis based on real operating data rather than simulation-only datasets.