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The Effects Of Air Pollution On Infant Health: An Empirical Evaluation Of Georgia, Mamadou Laity Sow
The Effects Of Air Pollution On Infant Health: An Empirical Evaluation Of Georgia, Mamadou Laity Sow
Economics Dissertations
Adverse birth outcomes have many causes but there is increasing awareness that air pollution is one of them. This study examines the effects of air pollution on infant health and mortality using data from the State of Georgia. The estimation methods control for potential endogenous variables such as the length of gestation and the demand for prenatal care. Moreover dummy-fixed effects are used to control for unobserved neighborhood characteristics using the place of residence of the mother. In addition, the model uses a comprehensive framework, which considers birth weight, length of gestation, and mortality, thus allowing pre and postnatal assessment …
Measurement And Modeling Of Oxides Of Nitrogen From Vehicular Contributors, Kerstin Lesley Kenty
Measurement And Modeling Of Oxides Of Nitrogen From Vehicular Contributors, Kerstin Lesley Kenty
USF Tampa Graduate Theses and Dissertations
The focus of this research was the examination of the emission and transformation of nitrogen oxides emitted from vehicles. Measured data for this experiment were collected from May 1 thru May 31, 2002, and were compared to values modeled with CALINE4. CALINE4 is a photochemical and dispersive model used to predict concentrations of NOX (NO+NO2) from line sources. The measurement campaign was coincident with the Bay Regional Atmospheric Chemistry Experiment (BRACE). An ambient air quality monitoring site was constructed adjacent to Gandy Boulevard, in Tampa, FL. When comparisons of measured and modeled NO and NO2 values were made it was …
Bayesian And Positive Matrix Factorization Approaches To Pollution Source Apportionment, Jeff William Lingwall
Bayesian And Positive Matrix Factorization Approaches To Pollution Source Apportionment, Jeff William Lingwall
Theses and Dissertations
The use of Positive Matrix Factorization (PMF) in pollution source apportionment (PSA) is examined and illustrated. A study of its settings is conducted in order to optimize them in the context of PSA. The use of a priori information in PMF is examined, in the form of target factor profiles and pulling profile elements to zero. A Bayesian model using lognormal prior distributions for source profiles and source contributions is fit and examined.