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Water Quality Monitoring: Lesson Plan for Exploring Time Series Data Presenters: Janet Vail, Fallon Januska, Dirk Koopmans

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Page 1: Water Quality Monitoring - GVSU

Water Quality Monitoring:

Lesson Plan for Exploring Time Series Data

Presenters: Janet Vail, Fallon Januska, Dirk Koopmans

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Lake Michigan Center in Muskegon, MichiganHome of Annis Water Resources Institute

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www.gvsu.edu/wri

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What can time-series lake data tell us about seasonal ecosystem dynamics and upstream influences?

Upon completion of this lesson, students will be able to

• Explain the advantages of using times-series data sets for water monitoring versus single (one time) measurements.

• Construct and interpret graphs of real-time environmental data.

• Formulate a question about water quality and select the appropriate data to answer the question.

• Explore patterns as well as cause and effect relationships.

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Engage

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Engage

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Lake Superior

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Lake Erie

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Water Quality Parameters

Chemical - pH

- Dissolved oxygen

- Conductivity

- Phosphorus*

- Nitrogen*

- Alkalinity*

- Metals*

- Organics*

Physical - Depth

- Water Clarity

- Turbidity

- Water Color

- Bottom materials

- Waves & Currents

- Temperature

* Not usually monitored on regular trips

Biological - Phytoplankton

- Zooplankton

- Benthic organisms

- Detritus

- Macrophytes

- Fish*

- Bacteria*

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Source Common Associated Pollutants

Cropland Turbidity, phosphorus, nitrates, temperature, total solids

Forestry harvest Turbidity, temperature, total solids

Grazing land Fecal bacteria, turbidity, phosphorus, nitrates, temperature

Industrial discharge Temperature, conductivity, total solids, toxics, pH

Mining pH, alkalinity, total dissolved solids

Septic systems

Fecal bacteria (i.e., Escherichia coli), nitrates, phosphorus,

dissolved oxygen/biochemical oxygen demand, conductivity,

temperature

Sewage treatment plants

Dissolved oxygen and biochemical oxygen demand, turbidity,

conductivity, Phosphorus, nitrates, fecal bacteria,

temperature, total solids, pH

ConstructionTurbidity, temperature, dissolved oxygen and biochemical

oxygen demand, total solids, and toxics

Urban runoffTurbidity, phosphorus, nitrates, temperature, conductivity,

dissolved oxygen and biochemical oxygen demand

Table 1. Sources and associated pollutants U.S. EPA, 2015

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Explore• About the Muskegon Lake

Observatory

www.gvsu.edu/buoy

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Location of the Muskegon Lake Observatory

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Muskegon Lake Observatory• Collects air/water data 4-12 times per hour

• Sends the data to GVSU computer, then to the internet

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What’s connected to the buoy?

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What is being measured?

• Water sensors have measured over 13 parameters including temperature, oxygen, nutrients, light, pH, conductivity, algal pigments (chlorophyll), bacterial pigments (phycocyanin), and current speed and direction.

• Air sensors measured 8 parameters including temperature, wind, humidity, and precipitation.

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Sensors

• Temperature

• Oxygen

• Light

• Nutrients

• Turbidity

• Algae

• Wind

• Rain

• Water speed

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http://www.gvsu.edu/buoy

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Current Conditions

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Interactive Data Plotting Tool

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Interactive Data Plotting Tool

Air Temperature at the Muskegon Lake Observatory

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Let’s Explore!

• www.gvsu.edu/buoy

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a. Water temperature at 2 M(specific date, every X minutes)

There is a single point on the graph, which is the mean temperature, about 73.4 F.

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b. Water temperature at 2 M(specific date, all day)

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c. Water temperature at 2 M(range of dates for 1 month)

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d. Water temperature at 2 M (range of dates for 5 months)

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e. Water temperature at 2 M and Water temperature at 11 M (range of dates for 5 months)

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• What trends do the data show?

• Why do the data show those trends?

• Is the trend different or the same than you predicted? If it’s the same, justify. If it’s different, justify why?

Predict - Explain - Plot – Explain Again

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When do algal blooms happen in Muskegon Lake?

• What parameter(s) would measure that?

• Make a prediction for the levels of your parameter between April and November.

April November

ParameterAmount

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Chlorophyll

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Phycocyanin

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Muskegon Lake, September 2015

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Elaborate> Patterns > Cause and effect

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Water Temperature and Chlorophyll2011

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Water Temperature and Phycocyanin

2011

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Evaluate

• Suppose each year a class can do one day of water monitoring. When should the monitoring be done?

• If we compare the data from one year to the next, how can we know that any trends are meaningful?

• How will we know if things have changed or remained the same?

• How can human activities impact the aquatic environment and what evidence do we have (or require) to evaluate and mitigate that impact?

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Resources

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Buoys are all over the world

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Next Generation & Michigan Science Standards

• Using authentic data helps students to identify patterns, change through time, and cause and effect.

• The lesson sequence above follows the science and engineering practices of asking questions, defining problems, analyzing and interpreting data, constructing explanations, and engaging in argument from evidence.

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So what do these sensors tell us about seasonal ecosystem dynamics and

upstream influences?

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So what do these sensors tell us about seasonal ecosystem dynamics and

upstream influences?

How do these sensors help make scientific discoveries?

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• Engage (to motivate the work ahead)

• Explore (patterns & study fundamentals)

• Explain (make guesses – hypotheses – and test them)

How to make a scientific discovery

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Engage

Michalak, 2014 Proc. Natl. Acad. Sci.

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Engage

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Engage

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Engage

Circle of Blue

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Engage

Milwaukee Journal Sentinel

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Engage

Milwaukee Journal Sentinel

What’s causing this?

Scientists don’t know but they have guesses (hypotheses)

• Slow progress on nonpoint phosphorus sources (dissolved phosphorus)

• Quagga and zebra mussels eating everything but Microcystis

• Stronger thermal stratification as waters get warmer

• Hypoxia releasing phosphorus from sediments

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Engage

Milwaukee Journal Sentinel

What’s causing this? What can we do?

Scientists don’t know but they have guesses (hypotheses)

• Slow progress on nonpoint phosphorus sources (dissolved phosphorus)

• Quagga and zebra mussels eating everything but Microcystis

• Stronger thermal stratification as waters get warmer

• Hypoxia releasing phosphorus from sediments

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Explore

Theory: stratification drives hypoxiaDoes hypoxia get worse as the summer goes on?

www.gvsu.edu/buoy

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Does hypoxia get worse as the summer goes on?

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Does hypoxia get worse as the summer goes on?

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Does hypoxia get worse as the summer goes on?

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Does hypoxia get worse as the summer goes on?

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55 °F

65 °F

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21 °C

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55 °F

65 °F

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47 °F

65 °F

65 °F

55 °F

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