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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<link href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
<link rel="stylesheet" href="style.css">
<script src="script.js"></script>
<title>OCEAN 340 Final Project</title>
</head>
<body>
<div id="name">
<div>
<h1>
OCEAN 340 Final Project
</h1>
</div>
<div>
<h1>
by Derya Gumustel
</h1>
</div>
</div>
<p id="firstParagraph">
This website was made for my final project for the UW OCEAN 340 course. My project involved
looking at Puget Sound time series data of chlorophyll and oxygen concentrations in surface waters over
a period of 60 days. These buttons will download the data files I used and the code I wrote
to do my analysis. You can also go to the Northwest Association of Networked Ocean Observing Systems
(NANOOS) Data Explorer website where I found my data.
</p>
<br>
<center>
<a href="http://students.washington.edu/deryag/datadownload.zip" download type="button" class="btn btn-info">Download data
</a>
<a href="http://students.washington.edu/deryag/script.py" download type="button" class="btn btn-info">Download python code
</a>
<a href="http://nvs.nanoos.org/Explorer" type="button" class="btn btn-dark">NANOOS Data Explorer</a>
<p id="restOfParagraphs">
<br>
Below is a map of the Puget Sound region that shows the data collection sites. The locations I
selected for analysis had consistent sampling during the available 60-day period and offered
insight to three different areas of the Pacific Northwest: the Puget Sound Main basin, the North
basin, and the Washington coast. Phytoplankton populations are strongly influenced by their
environment; factors include residence times, sunlight supply, water column stratification, and nutrient
availability. Studying chlorophyll concentrations in different settings can give oceanographers a
stronger idea of the relationships between the phytoplankton communities and their environments.
</p>
<img src="plot4.png" style="widows: 1000px;height:600px;">
<p id="restOfParagraphs">
<br>
The first part of my analysis required averaging the time series data into daily values for easy
visualization. I plotted the daily averages of chlorophyll and oxygen concentrations individually
for each of the four locations, shown here. Many locations were missing data for the start of January
which could not be filled by interpolation.
</p>
<img src="plot1.png" style="Widows: 1000px;height:600px;">
<p id="restOfParagraphs">
<br>
Next, I wanted to compare trends through time in chlorophyll and oxygen concentrations across locations.
Chlorophyll concentrations varied strongly throughout the sampled region, while oxygen concentrations
were very similar at each site.
</p>
<img src="plot2.png" style="widows: 1000px;height:600px;">
<p id="restOfParagraphs">
<br>
Finally, I investigated the relationship between chlorophyll, a proxy for phytoplankton populations,
and oxygen, a product of photosynthesis. Although phytoplankton are the major producer of oxygen in
marine environments, I suspect that the majority of the oxygen in surface waters comes from the exchange of gas
across the ocean-atmosphere interface. Each location saw a positive correlation between chlorophyll and oxygen concentrations,
with r-squared values ranging between 0.00156 in Bellingham and 0.468 in coastal waters. Seasonally heightened
gas exchange due to heavy wind-driven surface mixing may have weakened the relationship between chlorophyll
and oxygen.
</p>
<img src="plot3.png" style="widows: 1000px;height:600px;">
<p id="restOfParagraphs">
<br>
In the future, I would be interested in expanding my time series analysis to include at least a full
year’s worth of chlorophyll data to look further into seasonal variability in phytoplankton populations.
The correlation between chlorophyll and oxygen concentrations proved to be small, so my focus might
shift from oxygen to other measurable influences on phytoplankton populations. Some options would be water
temperature and nearby river discharge, as well as nitrogen or other dissolved nutrient concentrations.
<br>
<br>
This work was self-directed and made possible thanks to the guidance and support of my OCEAN 340 instructors
and peers. If you'd like to run my python code please download the data files and python code from the download
buttons above and place them into the same folder in order for the script to run.
<br>
<br>
</p>
</center>
</body>
</html>