interaction of pm 2.5 in the san joqauin valley. introduction ▪ determine the relationship of pm...

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Interaction of PM 2.5 in the San Joqauin Valley

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Page 1: 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

Interaction of PM 2.5 in theSan Joqauin Valley

Page 2: 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

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

Page 3: 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

▪ 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

Page 4: 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

Chi Squared Test -95% Confidence

▪ Null Hypothesis: The data sets are normally distributed

Location Chi_2 Chi_Calculated Null Hypothesis

Bakersfield 27.58 195.18 reject

Hanford 27.58 142.21 reject

Fresno 27.58 199 reject

0 5 10 15 20 25 30 35 40 45 500

100

200

Bakersfield

0 10 20 30 40 50 60 700

100

200

Hanford

San Joquain Valley Distributions

0 10 20 30 40 50 60 70 800

100

200

Fresno

Page 5: 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

Correlation and Regression Analysis

Pearson Correlation: 0.2738P-Value = .0100

Pearson Correlation: 0.3161P-Value = .0153

Pearson Correlation: 0.6873P-Value = .0123

0 5 10 15 20 25 30 35 40 45 50-10

0

10

20

30

40

50

60

70

80

90

Bakersfield [µg/m³]

Fre

sn

o [

µg

/m³]

PM 2.5 Concentration Correlation

PM 2.5 Data

Least SquarePrinciple Component

Major Reduced Axis

0 5 10 15 20 25 30 35 40 45 500

10

20

30

40

50

60

70

Bakersfield [µg/m³]

Ha

nfo

rd [

µg

/m³]

PM 2.5 Concentration Correlation

PM 2.5 Data

Least SquarePrinciple Component

Major Reduced Axis

0 10 20 30 40 50 60 70 800

10

20

30

40

50

60

70

Fresno [µg/m³]

Ha

nfo

rd [

µg

/m³]

PM 2.5 Concentration Correlation

PM 2.5 Data

Least SquarePrinciple Component

Major Reduced Axis

Page 6: 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

Bootstrap Test of Correlation Coefficient

Average Correlation Coefficient r computed using

the mean function yields:Location r- value

Bakersfield 0.2731Hanford 0.3193Fresno 0.6877

Which is in agreement with the Pearson

Correlation results:Location r- valueBakersfield 0.2738

Hanford 0.3161Fresno 0.6873

0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.50

200

400

Bakersfield-Fresno

0.2 0.25 0.3 0.35 0.4 0.45 0.50

200

400

Bakersfield-Hanford

Bootstrap:Correlation Coefficients

0.6 0.62 0.64 0.66 0.68 0.7 0.72 0.74 0.76 0.78 0.80

200

400

Fresno-Hanford

Page 7: 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

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 0.05. The correlation is therefore considered statistically significant

Page 8: 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

Questions???