![]() In this presentation we will present the details of CSS approach and discuss the results of testing of CSS deployment and testing the Rule 1180 sites. Therefore, we can achieve continuous and more frequent ambient samples without altering its sub ppb range detection capability. In this design we will split the hour into three sampling segments, 20 minute each with >15-minute of sample collection. To overcome these shortcomings, we developed a sampling system (CSS) to sample the ambient air and analyze the previous sample simultaneously. Moreover, the 40-minute sample concentration will report lower (averaged) value than the actual short peak concentration of VOC present in the plume. ![]() Based on our experience operating community air monitoring sites, air pollution plumes with elevated VOC are often short-lived, lasting for ~10 minutes, therefore resulting in some plumes not being captured. Auto-GC instrument, followed by EPA PAMS VOC sampling guideline, is designed to collect ambient samples for the first 40 minutes of the hour followed by analysis of the sample in next 20 minutes. The stations are equipped with Automated Gas Chromatography (Auto-GC) developed by Tricorntech Corp., Taiwan. In addition to refineries, these areas also contain multiple oil-wells and numerous industrial facilities that are potential sources of a wide range of Volatile Organic Compounds (VOC) and air toxics. In April 2020 South Coast Air Quality Management District begun operation of 10 community air monitoring stations in communities near 7 major petroleum refineries in Los Angeles, California. Presented by: Pami Mukherjee, South Coast Air Quality Management District Furthermore, the processes or emissions responsible for malodors can be dynamic and short-lived necessitating continuous monitoring at the site to correctly identify the source.ĭevelopment and Evaluation of a Novel Continuous and Concurrent Sampling System for Sub-ppb Level Detection of Volatile Organic Compounds in an Industrialized Area in Los Angeles This provides major advantages over conventional approaches because these species are often not amenable to chromatography and can be difficult to sample due to thermal instability, reactivity, or loss to the sample container walls. The benefits of mobile SIFT-MS are highlighted in this presentation through the speciated monitoring of malodor compounds such as reduced-sulfurs and amines. Concentration data can be plotted in real time for all VOCs being monitored. The mobile laboratory is also equipped with GPS tracking and plotting software and a weather station mounted to the roof. SIFT-MS is a soft chemical ionization technique that can be used to directly quantify volatile analytes and achieves selectivity of analysis by exploiting several different chemical ionization mechanisms within a single analysis. The analyzer deployed is a Voice200ultra, selected-ion flow-tube mass-spectrometer (SIFT-MS), contained within a mobile laboratory. This could be crucial for rapid response to an alert from a sensor, where higher-order speciation or characterization of the emission is necessary. The use of a mobile, real-time volatiles analyzer will be discussed in this context, exploring how it is used to conduct continuous volatiles measurements whilst moving around the area of assessment. Often deployment of instrumentation at or near the source using vehicle mobilized instrumentation is essential to an effective response. Rapid air-quality assessment is essential to managing and reducing the impact of toxic or unpleasant volatile compounds on communities. Presented by: Leslie Silva, Syft Technologies Monitoring volatiles using a mobile real-time mass spectrometer Youth-Focused Education and Youth-Lead InitiativesĪdvanced measurement approaches for fenceline and fugitive monitoring applications.The Potential of Air Sensors for Personalizing and Advancing Human Health Research.Swimming in Data: The current and future state of data management platforms.Standard, Supplemental and Informational Monitoring.Sensor Networks: From nuts and bolts to real-world impacts.Performance targets for air quality sensors.Mobile Monitoring/Monitoring Mobile Sources.Merging sensor data with other air pollution data sources: methods and benefits.Indoor Sensing for Air Quality Control and Ventilation Applications.Filling in the air quality data gap and enabling air quality management in LMICs using low-cost sensors.Communication Strategies for Understanding, Insight, and Action.Clean Air Monitoring and Solutions Network: getting useful, actionable data out of low cost sensors for air quality action.Advanced measurement approaches for fenceline and fugitive monitoring applications.Plenary Discussions, Presentations & Recordings. ![]()
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