Interaction of PM 2.5 in the San Joqauin Valley. Introduction ▪ Determine the relationship of PM 2.5 concentrations between three cities located in the.

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Presentation transcript:

Interaction of PM 2.5 in the San Joqauin Valley

Introduction ▪ Determine the relationship of PM 2.5 concentrations between three cities located in the San Joqauin Valley. ▪ The cities analyzed included: Fresno, Hanford and Bakersfield ▪ Daily PM 2.5 concentrations [ µg/m³] from the California Environmental Protection Agency database was analyzed. ▪ Statistical Analysis Performed: Chi Squared Test, Pearson Correlation, Bootstrap Correlation, Least Squares Regression, Reduced Major Axis Regression, Principle Component Regression

▪ Vehicular emissions ▪ Diesel soot and chemical fumes from oil production ▪ Burning of coal for electricity ▪ Wood burning stoves / furnaces ▪ Chemical reactions of gases ▪ Pollution carried by prevailing winds PM 2.5 Sources

Chi Squared Test -95% Confidence ▪ Null Hypothesis: The data sets are normally distributed LocationChi_2Chi_CalculatedNull Hypothesis Bakersfield reject Hanford reject Fresno reject

Correlation and Regression Analysis Pearson Correlation: P-Value =.0100 Pearson Correlation: P-Value =.0153 Pearson Correlation: P-Value =.0123

Bootstrap Test of Correlation Coefficient Average Correlation Coefficient r computed using the mean function yields: Locationr- value Bakersfield Hanford Fresno Which is in agreement with the Pearson Correlation results: Locationr- value Bakersfield Hanford Fresno0.6873

Conclusion ▪ All three cities are not normally distributed however they all were positively skewed ▪ Hanford- Fresno showed the greatest correlation of PM 2.5 followed by Hanford-Bakersfield ▪ Bootstrap Method results were in agreement with the Pearson Correlation results ▪ P-Values for all three cities were less than The correlation is therefore considered statistically significant

Questions???