LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

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The Clear Complexity of Lake Conditions Through Herbivores and Mathematical Models LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer
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Transcript of LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Page 1: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

The Clear Complexity of Lake Conditions Through Herbivores and Mathematical Models

LC Science Gang April 21, 2010

Doug Thomasey and Ashley Palmer

Page 2: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Goals of this Presentation

Introduce you to mathematical modeling

Learn how to construct a model

Apply the idea of a model to some real world phenomenon, Timber Lake in Campbell County

Page 3: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Mathematical Model

One or more equations used to describe the behavior of some system or phenomenon in mathematical terms.

Used in science, engineering, economics, and even psychology.

Page 4: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Where Models are used

Compound interest Liberal Arts Math

Carbon dating Pre-Calculus

Pendulum Trigonometry

Depth of water in a draining tank Calculus 1

Population growth/Spread of disease

Biology

Error Response Times Psychology

Dirt bike suspension systems Engineering

Page 5: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Suspension

Dr. J. R. White, UMass-Lowell (Spring 1997)

Page 6: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Some Types of Models

Linear: y = mx + b

Quadratic:

Exponential:

Differential:

www.szavay-blog.com

Page 7: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Parameters

Numerical values used in a model

Major influence on how model functions

Determined from observations (experiments) and assumptions about the system

Page 8: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Linear Model Parameters In a Linear Model (y=mx+b), you have

two ‘parameters’ m and b

When comparing temperature (°F °C) empirical evidence shows: 32°F= 0°C and 212°F= 100°C, so:

Page 9: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Scoring the DecathlonDay 1 – 100m, Long Jump, Shot Put, High Jump, 400mDay 2 – 110 hurdles, Discus, Pole Vault, Javelin, 1500m

Athletes are awarded points based on their PERFORMANCE in each of the 10 events

In a decathlon with 3 or more competitors, it is possible to win overall without winning any individual event.

Chasing points: 100m: 11.00 – 861pts, 12.00 – 651pts (world record 9.58 - )

PV: 14 ft – 693pts, 15 ft – 781pts (world record 20’2” - )

1500: 5:00 – 560pts, 4:30 – 745pts (world record 3:26.0 - )

1202

12811218

Page 10: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

What Type of Model is Used? Linear?

No▪ An increase from 65’ to 70’ is much harder to achieve

than and increase from 20’ to 25’, but yet the same increase in points would result.

20 25 30 35 40 45 50 55 60 65 700

100

200

300

400

500

600

700

800

Points for Shot Put

feet

Page 11: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Decathlon Model

x, y, and z are set parameter values that change for each event.

These parameter values are the basis for the model to function.

Running events

All other events

Page 12: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Long Jump Points Graph

An increase from 2.5 to 3m has a 50 pt increase An increase from 6.5 to 7m has a 117 pt increase

Wim

Weste

ra, O

pen U

niv. o

f Neth

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nd

s

Page 13: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

The Beauty of Modeling

World Record Holder in the Decathlon becomes

Page 14: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

How?

Eventwise function Piecewise function

NEW WORLD RECORD!!! Doug Thomasey – 9,027 pts.

Page 15: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Differential Equation Models

Definition: an equation containing the derivatives or differentials of one or more dependent variables with respect to one or more independent variables

Change continuously with time

Page 16: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Constructing a model

1) Identify the variables that are changing the system

2) Set reasonable assumptions about the system (parameter values depend on these assumptions)

3) Using any other empirical information, determine the DE or system of DE’s that would make up the model

Page 17: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Finding Parameter Values

Most of the time come through experiments or literature Example: Death rate of a population represented by

letter μ

If the death rate is low, then the value for μ will be small

If the death rate is high, then the value for μ will be high

Typically these values range from 0-1, based on a percentage

Page 18: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Visual Parameter Explanation

μ =0.16 μ =0.8

Page 19: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Smith Mountain Lake Model

Problem at hand: Striped Bass infected with parasite, Achtheres. We want to determine how long it would take for the entire population to become infected (if ever) given that 1 infected fish is introduced to the population. We will also assume that there is no fish reproduction, once a fish is infected, it will always be infected, and that we will stock 21 fish per acre per year into the lake.

Page 20: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Smith Mountain Lake Model

s: susceptible fish i: infected fish b: encounter rate d: death rate of susceptible v: death rate of infected fish

Page 21: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Results from SML

Many factors can be solved algebraically Equilibrium, reproduction numbers, etc.

Mathematical Software Mathematica Maple Derive Stella (Visual)

Page 22: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Results from SML

Y-axis: number of striped bass X-axis: months after one infected fish is introduced

Page 23: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Death Rate Parameter

μ =0.25 μ =0.75

Page 24: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Harder Model

10 Parameter Values? bx,η1,η2,η3,μ,ψ,β1,β2,α1,α2

Use a separate computer program to create lists of possibilities

www.math.hmc.edu

Page 25: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Timber Lake

Lacustrine system 65 acres in area, or 26 hec-3045.6

m² Soil type is mineral based and is

mainly saturated especially along the shore lines of the lake itself

Vegetation coverage: Typha, Najas guadalupensis, Algae

Unconsolidated bottom

Page 26: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Inflows: 3 separate streams flowing into the lake

Waterlick Brown Buffalo

Brown

Outflow: Spillway by the Dam

Formation of Timber Lake

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Timber Lake

Page 28: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Concerns of Timber Lake

Phosphorus loading

Najas guadalupensis

Herbivores

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Phosphorus and Clarity

Phosphorus is a nutrient required by all organisms for the basic processes of life.

Phosphorus is a natural element found in rocks, soils, and organic material. Abundant amount of Phosphorus▪ Creates Eutrophic conditions

Lack of Phosphorus▪ Decreasing zooplankton population and plant

life

slowmuse.wordpress.com

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Testing Clarity

Secchi Disk

Lowered into water, until it is no longer visible

After time, you are able to compare a reading to previous readings.

Turbidity

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Difference in Clarity

Lake Tahoe College Lake

T. Shahady

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Phosphorus Cycle

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Data Collected

Sampled March-December 2009 Hydrolab readings Zooplankton collection Phosphorus collection

Use Stella to Model the outlook for Phosphorus levels in Timber Lake Determine parameter values from data

collected

Page 34: LC Science Gang April 21, 2010 Doug Thomasey and Ashley Palmer.

Stella (Easy)

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Timber Lake Stella Model

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Stella Graphs

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Managing Phosphorus

BMPs are the most sufficient way to go about the preservation of the lake.

Keep a close eye on septic tanks Look into “lakescaping”- helps

reduce fertilizers that may run into the lake.

Become familiar with development within your watershed that might inhibit the activity that goes on within your lake.

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Keeping a lake clear is more complex than most people think….