Trends over time for each identified compound in daily and weekly samples were determined using two types of analysis: linear regression and multigroup analysis. Multigroup statistical tests used were determined based on the normality and homoscedasticity of each dataset. Trends listed as "increase" in Table indicate a statistically significant positive linear regression (p ≤ 0.05) or a multigroup analysis where there were statistically significant differences between groups (p ≤ 0.05) and an increase in average compound levels in the sludge. Trends listed as "decrease" in Table indicate a statistically significant negative linear regression (p ≤ 0.05) or a multigroup analysis where there were statistically significant differences between groups (p ≤ 0.05) and a decrease in average compound levels in the sludge.