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Use of Project MOHAVE Perfluorocarbon Tracer Data to Evaluate Source and Receptor Models
Project MOHAVE was a major monitoring, modeling, and data analysis study whose objectives included the estimation of the contributions of the Mohave Power Project (MPP) and other sources to visibility impairment in the southwestern United States, in particular at Grand Canyon National Park. A major element of Project MOHAVE was the release of perfluorocarbon tracers at MPP and other locations during 50-day summer and 30-day winter intensive study periods. Tracer data (from about 30 locations) were sequestered until several source and receptor models were used to predict tracer concentrations. None of the models was successful in predicting the tracer concentrations; squared correlation coefficients between predicted and measured tracer were all less than 0.2, and most were less than 0.1.
Use of Project MOHAVE Perfluorocarbon Tracer Data to Evaluate Source and Receptor Models
Project MOHAVE was a major monitoring, modeling, and data analysis study whose objectives included the estimation of the contributions of the Mohave Power Project (MPP) and other sources to visibility impairment in the southwestern United States, in particular at Grand Canyon National Park. A major element of Project MOHAVE was the release of perfluorocarbon tracers at MPP and other locations during 50-day summer and 30-day winter intensive study periods. Tracer data (from about 30 locations) were sequestered until several source and receptor models were used to predict tracer concentrations. None of the models was successful in predicting the tracer concentrations; squared correlation coefficients between predicted and measured tracer were all less than 0.2, and most were less than 0.1.
Use of Project MOHAVE Perfluorocarbon Tracer Data to Evaluate Source and Receptor Models
Green, Mark C. (Autor:in) / Tombach, Ivar (Autor:in)
Journal of the Air & Waste Management Association ; 50 ; 717-723
01.05.2000
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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