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Development of a Mobile Tracer Correlation Method for Assessment of Air Emissions from Landfills and Other Area Sources (Abstract)
Citation:
Foster-Wittig, T., E. Thoma, R. Green, G. Hater, N. Sawn, AND J. Chanton. Development of a Mobile Tracer Correlation Method for Assessment of Air Emissions from Landfills and Other Area Sources (Abstract). Global Waste Management Symposium, Orlando, FL, June 22 - 25, 2014.
Impact/Purpose:
This is an extended abstract for the Global Waste Management Symposium June 22-25, 2014 - Omni Orlando Resort at ChampionsGate - Orlando, Florida, USA. This paper and presentaion presents information on progress towards development of a mobile tracer correlation measurment method for large area sources.
Description:
Work toward a standardized version of a mobile tracer correlation measurement method is discussed. The method used for assessment of methane emissions from 15 landfills in 56 field deployments from 2009 to 2013. This general area source measurement method uses advances in instrumentation technology (e.g. cavity ring-down spectroscopy) along with a novel acetylene tracer gas to provide a morewidely implementable approach than previously demonstrated. Described here is a real-world method evaluation conducted in the field by typical users, under randomly-encountered atmospheric conditions during daylight-only operations. Data from these field studies are evaluated to explore factors a?ecting method use, emissions determinations, and draft method quality indicators. A total of 1366 mobile tracer correlation measurement transects were acquired over 131 fieldsampling days yielding 456 transects that pass acceptable data criteria. Unacceptable transects were primarily associated with insu?cient advected plume transport to the ground-level observing location and poor correlation between the tracer and source plumes. This paper describes the instrumentation, tracer release equipment, data analysis procedures, and a range of environmental conditions that form the basis for a standardized method. Typically encountered measurementscenarios that produce method execution errors are described, and the e?ects of method quality indicator data acceptance levels on emission rate determinations and data completeness are discussed.
URLs/Downloads:
http://eventservices.penton.com/events/2014/gwms/abstracts/99_Foster-Wittig_Abstract_GWMS14_rv.pdf