Exploring the Chemical and Ecotoxic Heterogeneity of Ellerbe Creek

Jonny Behrens

2022-10-20

Research Proposal Overview

The following are the aims of the research project:

General Overview

The following is exploratory analyses to explore data collected in Ellerbe Creek during the 2021-23 synoptic surveys.

Conceptual Model

Major Milestones

Remaining Questions:

Initial Data Results

The following slides show some preliminary analyses on water chemistry.

Overview of Sampling Sites

We will target 10 samples, as a minimum. Possibly from existing samples that have been collected or through new sample collection at the same sites.

Map of Sites

Here’s a simple map of where the sampling locations are located.

Timing of Sampling

DATE Effluent Main Tributary
2021-09-25 1 13 16
2022-02-26 1 13 20
2022-06-16 1 13 20

PCA of All Sites: No Metals

Bi-Plots

NOTE: Metals, AMPA, and Glyphosate are removed, given missing data for a sampling date. They will be added later

Indicator Compound Exploration

Let’s explore the three organic indicator compounds that were measured throughout Ellerbe Creek

Also will show some results from 3 trace metals:

Indicator Compounds: Tributaries - Exclude Effluent Channel

Sucralose: Main Branch

DPG: Main Branch

AMPA: Main Branch

Indicator Compounds: Tributaries - Effluent Channel Included

Additional Slides

The following slides are a deeper dive into the PCA analyses.

PCA Exploration

We will look at a few different PCAs.

For now we are not including AMPA and Glyphosate due to some concerns with the QA/QC of the data. E.coli for similar reasons will not be included quite yet, except for PCAs of specific dates.

PCA of Tributaries: No Metals Part 1

Each PC’s Contribution

First, let’s look at the loadings. Looks like the PC1 has a decent amount of the variation. PC2 and PC3 are relatively close to each other.

PCA of Tributaries: No Metals Part 2

Variable Loading to Each PC

Okay let’s see what variable is loading most to which PC.

Possibly PC1 is driven by wastewater, like before. Not quite sure for PC2 and PC3.

PCA of Tributaries: No Metals Part 3

PCA Graphs

Bi-Plots

PC1 vs. PC2

PC1 vs. PC3

PCA of All Sites: No Metals Part 1

Each PC’s Contribution

First, let’s look at the loadings. Looks like the PC1 has a decent amount of the variation. PC2 and PC3 are close to each other.

PCA of All Sites: No Metals Part 2

Variable Loading to Each PC

Okay let’s see what variable is loading most to which PC.

Possibly PC1 is driven by waste water and PC2 by road runoff? Not quite sure about PC3.

PCA of All Sites: No Metals Part 3

PCA Graphs

Bi-Plots

PC1 vs. PC2

PC1 vs. PC3

Other Experimental Analyses

Additional code, not shown in the HTML, exists to explore the data further. It can be seen only on the RMD file, currently.