Health Risk Assessments of Waste Combustion Emissions Using Surrogate Analyte Models Thesis
نویسندگان
چکیده
Open burn pits, at times a necessary method to control accumulating waste at military forward operating bases, have been implicated as the cause of respiratory disease and other illnesses. Exposure assessments of open burn pits are often complicated by a lack of sampling equipment and resources. This research investigated the hypothesis of carbon dioxide (CO2) as a viable surrogate for particulate matter with diameter ≤ 2.5 μm (PM2.5). Large-scale solid waste combustion tests were monitored with real-time CO2 and PM2.5. Burn pile tests resulted in linear trends between mean PM2.5 and mean CO2 (R = 0.964 0.989). Comparing two burn box implementation methods, batch-feeding yielded PM2.5 concentrations eight times lower than for a single loading of the burn box. This pilot study demonstrates the feasibility of using CO2 as a surrogate of PM2.5 concentration as CO2 sensors potentially provide a cost-effective solution for exposure monitoring in lieu of expensive particulate matter instruments. It also indicates the potentially beneficial reduction in particulate matter when using batch-feeding practices with burn boxes (versus open burning).
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