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Charles Blanchard

Charles Blanchard has over ten-years experience conducting analyses of air-quality measurements, focusing on the development of new and innovative methods for using data to address a variety of technical questions.  He has developed procedures for using ambient measurements to evaluate the relative effectiveness of VOC and NOx control strategies for reducing ozone concentrations.  He tested the Integrated Empirical Rate model against environmental-chamber studies and chemical mechanisms, developed a revised procedure known as the Smog Production (SP) Algorithm, tested it against grid-based photochemical modeling, and supervised the development of a user-friendly Windows-based program (MAPPER) for implementing the SP algorithm.  He has also extended the methods contained in MAPPER and the SP algorithm to permit use of ambient measurements to discriminate between ammonia and NOx limiting conditions for particulate nitrate formation.  Other areas of interest are the development of methods for quantifying the uncertainties associated with photochemical air quality modeling, the statistical design of air pollution monitoring networks, and the application of statistical methods to attainment demonstration requirements for the NAAQS.  He has extensive experience using large databases from air-quality studies and considerable familiarity with data-quality evaluation.  He has worked with a variety of clients, including API and EPA.  He holds an MS and Ph.D. in Energy and Resources and an MA in Statistics (University of California, Berkeley).

 

 

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