The 2022 NAAMC, sponsored by US EPA in conjunction with the Association of Air Pollution Control Agencies and the National Association of Clean Air Agencies, is a must-attend event for federal, state, local, and tribal air pollution organizations involved with operating, planning, or managing air monitoring networks and reporting data to AQS, and AIRNOW.
In addition to essential training on air monitoring topics, these SCS Engineers professionals will present the following sessions:
Sergio Valenzuela – Quantifying Salton Sea’s Harmful PM During High Wind Events
This study analyzes the correlated TEOM data (centric to high wind event days) and PQ200 data in comparison with TEOM data during “clear” (≤5-mph) days to determine the concentration levels of PM created during high wind events. Also, the incorporation of wind rose diagrams, created using wind speed/direction data collected at meteorological towers, aids in understanding varying PM concentrations relative to their deployment site properties. This study provides an essential tool for understanding the amount of exposure that neighboring communities are experiencing during high wind events and how IID’s implemented mitigation efforts will look moving forward. Read the abstract.
Jose Landeros – Air Monitoring in Mexicali, Mexico. The Evolution of Air Pollution Monitoring in a Border City.
Advancements in technology have influenced the way air pollution is measured and how air pollution data is received, shared, and acted upon by stakeholders. Using Mexicali, México as an example, this presentation will review the evolution of the air pollution monitoring technologies used to measure and inform stakeholder actions. Stakeholders now can access real-time air quality data from platforms that integrate information from low-cost sensors and regulatory sites. The evolution of technology for measuring and presenting data has been remarkable – from large, manual, analog equipment to small, automated, digital equipment with communication systems that allow for real-time data access. Read the abstract.
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