THE FLORIDA STATE UNIVERSITY ARTS AND SCIENCES ...

- Determine the distribution of all of the slopes for a given category.
- Plot all the slopes and intercepts for a given category and determine S1 and M1
- Generate various values of slopes and for each slope evaluate an intercept based
on the information from the previous step.
- For a given OC value, determine the denitrification rate for every slope
generated and corresponding intercept
- Average the denitrification rates and plot a histogram of the denitrification rates.
The above methodology is applied to the different datasets as outlined in the sections
below.
3.2. Analysis for Organic Carbon
3.2.1. Texture-Temperature-WFP
The equations from the texture-temperature and WFP breakdown are selected based on a
correlation coefficient value of 0.4 or greater, the intercepts and the slopes for each of
the 14 equations are plotted and the relationship appears to be linear (Figure 3.1) with a
extremely strong correlation (r 2 = 0.96). A Lognormal probability plot of M reveals that
the data is log-normally distributed (Figure 3.2).
Intercept (C)
100
0
-100
-200
-300
-400
-500
0
Texture-Temperature-Water Filled Porosity
20
Intercept = 8.532 - 2.871 Slope
40
60 80
Slope (M)
107
100
120
Regression
95% CI
95% PI
S 27.2026
R-Sq 96.4%
Figure 3.1 Intercept Vs. slope (Texture-Temperature-WFP).
140
160