Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard...

45
Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol

Transcript of Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard...

Page 1: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Professor Art McGarity, Zach EichenwaldAssisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol

Page 2: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

The Team (minus Sophie)

Page 3: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Little Crum CreekWatershed – the

area from which surface water drains into a particular body of water after an event (rainfall)

Page 4: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

1. Monitor• Collect and test water samples to represent

stream quality with data

2. Model • Simulate stream flow and pollutant transport to help

pinpoint locations for stormwater management technology

3. Low Impact Development• Stormwater management technology and practices to

reduce runoff volume and nonpoint pollution

Page 5: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Collecting Samples

Page 6: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

ISCO SamplerTriggered by rain or stream depth, samples

at certain intervals throughout an eventStores flow data

Velocity DepthRainfallFlow

Captures up to 24 samples

Page 7: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.
Page 8: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Gathering Data

Page 9: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Testing for PollutantsNitrates (NO3) and phosphates (PO4)

Excess plant nutrients cause algae blooms (eutrophication) whose decay depletes oxygen

TSS (Total Suspended Solids)Sediments can clog creek bedsCarry other pollutants, including heavy metals,

along with it

Page 10: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

The TestsHach colorimeters quantify pollutant levels

by the amount of absorbance of lightIn the TSS test solids are filtered from a 100

mL sample and weighed to calculate concentration

Page 11: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Other Tests and CalculationsStandard Additions Turbidity

Turbidity vs. TSSPollutant Load- an estimation of the total

PO4, NO3, and solids flowing throughout a specific interval during an eventL = CQ∆t

Event Mean ConcentrationΣ(CtQt)

Σ(Qi)

Page 12: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Sample Turbidity (fau) TSS (mg/L) NO3 (mg/L) Abs % PO4 (mg/L) Abs%

A1 18 17 2.1 46.28 0.34 79.7

A2 12 -76 2.1 46.3 1.57 35.24

A3 169 533 0.3 89 0.39 76.93

A4 506 853 0.3 89.08 0.42 75.87

A5 280 490 0.4 86.26 0.47 73.1

A6 142 210 0.9 72.47 0.28 83.18

A7 112 147 0.9 70.87 0.29 82.62

Page 13: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

The SondeRemotely and continuously monitors:

pH/ORPDissolved oxygenNitrateConductivityTemperatureTurbidityDepth

Page 14: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.
Page 15: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.
Page 16: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Why Model?We can’t observe the entire

watershedWe aren’t able to observe all

possible weather eventsThe model allows us to see

the response of the watershed to any possible input, including large storm events that occur infrequently

We can experiment with different development and storm water reduction scenarios

Page 17: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Modeling the (Big) WatershedPrevious work: StormWISE (StormWater

Investment Strategy Evaluator)Optimization program developed by Professor

Arthur McGarity Uses RUNQUAL (Penn State) to develop water

quality parameters Placement of Best Management Practices (BMPs)

optimized using linear programming techniques. Locations for BMPs are not site specific

Page 18: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Zooming inSummer work involves developing a more

site specific version of StormWISEWater quality and quality are modeled using

EPA’s SWMM (StormWater Management Model)

Model will be able to identify site specific locations for BMPs and model the effects of implementation

Page 19: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SWMMDynamic rainfall-runoff simulationCan be used for single event or long term

simulation of storm water runoff quantity and quality

Is used to develop a simulated hydrograph and pollutograph given rainfall inputCan model the transport of Nitrate, Phosphate,

and TSS

Page 20: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

The SWMM ModelSubcatchments

ConduitsNodes

Page 21: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SWMM ParametersSWMM requires (a few) basic parameters

about each subcatchment, node, and conduit

Subcatchments SCS CN, amount of impervious surface (%), slope (%), hydraulic length

Nodes Invert elevation, initial depth, maximum depth

Conduits Length, roughness, size, type

Page 22: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Basic Hydrology (SWMM uses this!)

Source: Louisiana DEQ - http://www.deq.louisiana.gov/portal/Default.aspx?tabid=1979

Page 23: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

InfiltrationNot all precipitation enters the stream

Must calculate effective precipitation (precipitation that is converted to runoff) using an infiltration model

Many infiltration models have been developedOne common model is the SCS Method (USDA’s

Soil Conservation Service, now Natural Resource Conservation Service [NRCS])

Assigns a curve number (CN) to many different land use categories

CN range from 0 – 100 (completely pervious to completely impervious). Pavement is 98.

Page 24: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SCS MethodDevelops an empirical relationship between

effective precipitation and actual precipitation:

SIP

IPQ

a

a

2)(

Ia = initial abstraction (in)P = the observed precipitation (in)S = maximum potential retention (in)Q = effective precipitation (in)

Page 25: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SCS MethodThe CN describes the maximum possible

retention, where

We assume Ia = 0.2S, determined from a study of many small watersheds by SCS

10CN

1000S

Page 26: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SCS Curve Number

Source: USDA NRCS TR-55

Page 27: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SCS Curve NumberAdjustments are made for antecedent

moisture conditionsCN(II) is for average moisture conditionsCN(I) and CN(III) are for dry and moist

conditions, respectively

CN(II)13.010

CN(II)23CN(III)

CN(II)058.010

CN(II)2.4CN(I)

Page 28: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SCS Curve NumberAn analysis of rainfall-runoff relationships for

Little Crum Creek has found a strong correlation between antecedent moisture and effective precipitation

Page 29: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

SCS Curve Number

Source: USDA NRCS TR-55

Page 30: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Problems with SCSDeveloped by USDA for use on agricultural

land typesAttempts to apply the SCS CN method to the

Little Crum Creek watershed result in underestimates of the effective precipitation

Not terribly useful for envisioning the effects of numerous parking lots, storm sewer drainage systems, etc.

Page 31: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Problems with SCSWe calculated the theoretical CN(II) for one

section of the watershed to be 88.8Underestimates total runoffAnalysis of observed rain events shows that the

actual CN is closer to 96Solutions (Easy and Hard):

Account for roads (Easy)Find a new relationship between S and Ia

(Hard)

Page 32: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Other ParametersAverage impervious percentage, slope,

conduit length, and elevations are determined from GIS analysis

Elevations are from a Digital Elevation Map (DEM)

Impervious percent is from a raster dataset that classifies land use into 5 categories

Page 33: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Land Use and Impervious Percent

Page 34: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Putting it all togetherModel currently built for a section of the

watershedLittle Crum Creek Park

Girard

Page 35: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Close…

Page 36: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.
Page 37: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Preliminary ResultsSimulated results either underestimate or

overestimate the amount of flowThis difference is sometimes quite pronounced,

depending on the nature of the storm eventSimulation results typically exhibit a time lag

Page 38: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

What’s NextAdjust parameters to get a better fit to actual

dataAdd capability to model Nitrate, Phosphate,

and TSS to the modelModel the implementation of BMPs and LID

within the watershed

Page 39: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.
Page 40: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Modeling Low Impact Development and BMPsA completed model allows BMP and LID

alternatives to be comparedA benefit-cost analysis can be performed to

determine the most economically efficient method of reducing runoff

Page 41: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Types of BMPs/LIDsMany ways to reduce runoff, including:

Green roof (we have one on the roof of Alice Paul and David Kemp)

Constructed WetlandCisterns and rain barrels Permeable pavement surfaces

Page 42: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Preliminary BMP Recommendations

Site BMP

Springfield Square, Springfield, PA

Green Roof

Farmhouse Circle, Springfield, PA

Constructed Wetland

See http://watershed.swarthmore.edu/littlecrum for ongoing recommendations for all four municipalities: Springfield, Swarthmore, Ridley Township, Ridley Park

Page 43: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Springfield Square

Green Roof on Swarthmore’s Alice Paul Hall (image: Meghan Whalen)

Page 44: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

Farmhouse Circle

Constructed Wetland at Ridley High School

Page 45: Professor Art McGarity, Zach Eichenwald Assisted by Markia Collins, Sophia Richardson, Richard Scott, Pete Cosfol.

http://watershed.swarthmore.edu