West Central Airshed Society
WCAS
January 2023
2011-2022 WCAS Review of AER ST60 Flared and Vented data with Ambient Data
Monitored Data
WCAS - ST60 AER Summary Plots using Average Data
WCAS - ST60 AER correlation matrix using Average Data
Note Correlation Matrix generated using Pearson:
Each variable is shown on the diagonal
On the bottom of the diagonal: the bivariate scatter plots with a fitted line are displayed
On the top of the diagonal: the value of the correlation plus the significance level as stars
Each significance level is associated to a symbol: p-values(0, 0.001, 0.01, 0.05, 0.1, 1) <=> symbols('***', '**', '*', '.', ' ')
## SO2 NOX CO THC ET Flared Vented
## SO2 1.00 0.13 0.08 0.18 -0.12 0.11 0.42
## NOX 0.13 1.00 -0.31 0.76 -0.80 0.14 0.23
## CO 0.08 -0.31 1.00 -0.20 0.27 -0.33 -0.34
## THC 0.18 0.76 -0.20 1.00 -0.66 0.23 0.28
## ET -0.12 -0.80 0.27 -0.66 1.00 0.02 -0.12
## Flared 0.11 0.14 -0.33 0.23 0.02 1.00 0.50
## Vented 0.42 0.23 -0.34 0.28 -0.12 0.50 1.00
##
## n= 103
##
##
## P
## SO2 NOX CO THC ET Flared Vented
## SO2 0.1992 0.4210 0.0626 0.2103 0.2899 0.0000
## NOX 0.1992 0.0016 0.0000 0.0000 0.1703 0.0201
## CO 0.4210 0.0016 0.0389 0.0066 0.0008 0.0005
## THC 0.0626 0.0000 0.0389 0.0000 0.0170 0.0037
## ET 0.2103 0.0000 0.0066 0.0000 0.8103 0.2427
## Flared 0.2899 0.1703 0.0008 0.0170 0.8103 0.0000
## Vented 0.0000 0.0201 0.0005 0.0037 0.2427 0.0000The output includes:
r: The correlation matrix
n: the matrix of the number of observations used in analyzing each pair of variables
P: the p-values corresponding to the significance levels of correlations
WCAS - ST60 AER Summary Plots using 95th Percentile Data
WCAS - ST60 AER correlation matrix using 95th Percentile Data
Note Correlation Matrix generated using Pearson:
Each variable is shown on the diagonal
On the bottom of the diagonal: the bivariate scatter plots with a fitted line are displayed
On the top of the diagonal: the value of the correlation plus the significance level as stars
Each significance level is associated to a symbol: p-values(0, 0.001, 0.01, 0.05, 0.1, 1) <=> symbols('***', '**', '*', '.', ' ')
## SO2 NOX CO THC Flared Vented
## SO2 1.00 0.23 -0.08 0.32 0.27 0.32
## NOX 0.23 1.00 -0.19 0.77 0.15 0.28
## CO -0.08 -0.19 1.00 -0.06 -0.23 -0.23
## THC 0.32 0.77 -0.06 1.00 0.32 0.35
## Flared 0.27 0.15 -0.23 0.32 1.00 0.50
## Vented 0.32 0.28 -0.23 0.35 0.50 1.00
##
## n= 103
##
##
## P
## SO2 NOX CO THC Flared Vented
## SO2 0.0185 0.4228 0.0009 0.0058 0.0009
## NOX 0.0185 0.0506 0.0000 0.1317 0.0042
## CO 0.4228 0.0506 0.5340 0.0215 0.0183
## THC 0.0009 0.0000 0.5340 0.0011 0.0003
## Flared 0.0058 0.1317 0.0215 0.0011 0.0000
## Vented 0.0009 0.0042 0.0183 0.0003 0.0000The output includes:
r: The correlation matrix
n: the matrix of the number of observations used in analyzing each pair of variables
P: the p-values corresponding to the significance levels of correlations