Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality

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Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality A First Step Using Midwestern Watersheds Alison Goss April 28, 2004

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Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality. A First Step Using Midwestern Watersheds. Alison Goss April 28, 2004. Introduction. Global transformation occurring at a rapid scale Atmospheric variations - PowerPoint PPT Presentation

Transcript of Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality

Page 1: Correlating Estimated  Nutrient Loading Upstream  to In-Stream  Water Quality

Correlating Estimated Nutrient Loading Upstream to In-Stream

Water Quality A First Step Using Midwestern Watersheds

Alison Goss April 28, 2004

Page 2: Correlating Estimated  Nutrient Loading Upstream  to In-Stream  Water Quality

Introduction

• Global transformation occurring at a rapid scale – Atmospheric variations– Land use alteration (Ehleringer et al

2001; IPCC 1996; Mooney et al 1998).

• Human activity undoubtedly the driver for many of these conversions

• However, predicting the nature of ecosystem response to complex transformations challenging

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Context

• Focus on land use change• Part of a larger endeavor to

establish a link between land use change and ecological integrity

• First step in creating linkage is determination of relationship between NPS loadings output from LTHIA and in-stream water quality

• LTHIA not designed for this analysis– Development of nutrient fate

component

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Introduction to LTHIA

http://danpatch.ecn.purdue.edu/~sprawl/LTHIA7/documentation/how%20works.html

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Context

LTHIA Output

Nutrient Fate

In-Stream Water Quality Ecologica

l Health

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Objective: A first step

• Comparison of LTHIA nutrient loading output with historical in-stream water quality data for two areas in the Midwestern United States with differing depths to bedrock

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Hypothesis

• Small depth to bedrock– Less nutrient uptake by soil

microbes– Shorter nutrient pathway– NPS loads will be closer to

surface water quality values

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Methods

• Collect land use, soil and WQ data for study sites

• Run LTHIA– Focus on N and P

• Calculate 100% conservation runoff concentration

• Compare to known WQ values• Sensitivity Analysis

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Study SitesAve. depth to bedrock 32 meters.

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Study SitesAve. depth to bedrock 9 meters.

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Calculation of conservation nutrient concentration

• Takes LTHIA output (kg/grid cell) and determines in-stream water quality

• Assumes 100% conservation of nutrients in runoff

3 3

( )*1000000( / )( / ) ( )

( ) /1000( / )

NPSload kg mg kgNPSconc mg L or ppm

Runoff m m L

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Actual vs. Modeled Nutrient Loading in streams

Driesbach Smith-Fry Pere Muskegon

Modeled Nitrogen(mg/L) 3.70 4.23 4.25 1.86

Actual Nitrogen (mg/L) 6.33 5.60 0.13 0.19

%Difference 42% 24% 3174% 880%

Modeled Phosphorous (mg/L) 1.07 1.24 1.25 0.47

Actual P (mg/L) 0.45 0.46 0.02 0.05

%Difference 138% 167% 6148% 798%

Modeled TN/TP 3.47 3.41 3.40 3.94

Actual TN/TP 14.12 12.04 6.49 3.62

%Difference 75% 72% 48% 9%

DriesbachSmith-

FryPere Muskegon

Modeled Nitrogen (mg/L) 3.70 4.23 4.25 1.86

Actual Nitrogen (mg/L) 6.33 5.60 0.13 0.19

%Difference 42% 24% 3174% 880%

Modeled Phosphorous (mg/L) 1.07 1.24 1.25 0.47

Actual P (mg/L) 0.45 0.46 0.02 0.05

%Difference 138% 167% 6148% 798%

Modeled TN/TP 3.47 3.41 3.40 3.94

Actual TN/TP 14.12 12.04 6.49 3.62

%Difference 75% 72% 48% 9%

Driesbach Smith-Fry Pere Muskegon

Modeled Nitrogen (mg/L) 3.70 4.23 4.25 1.86

Actual Nitrogen (mg/L) 6.33 5.60 0.13 0.19

%Difference 42% 24% 3174% 880%

Modeled Phosphorous (mg/L) 1.07 1.24 1.25 0.47

Actual P (mg/L) 0.45 0.46 0.02 0.05

%Difference 138% 167% 6148% 798%

Modeled TN/TP 3.47 3.41 3.40 3.94

Actual TN/TP 14.12 12.04 6.49 3.62

%Difference 75% 72% 48% 9%

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Sensitivity Analysis

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Sensitivity Results

113%

113%

143%

194%

0% 50% 100% 150% 200% 250%

Total Runoff (cm)

Total RunoffVolume (m^3)

Total Nitrogen(kg)

TotalPhosphorous

(kg)

LT

HIA

Ou

tpu

ts

Percent Increase

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Conclusions

• LTHIA not a good predictor of downstream surface water quality

• N:P may be closer approximation than individual nutrient values– Consistently within 100% of actual

value– Also could be a fluke

• LTHIA highly sensitive to location of curve number within watershed

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References• Ehleringer, J.R., T.E. Cerling, and L.B. Flanagan.

2001. Global changes and the linkages between physiological ecology and ecosystem ecology, p. 115-138. In: M. Press, N. Huntly, and S. Levin (eds.), Ecology: Achievement and Challenge. Blackwell, Oxford.

• Intergovernmental Panel on Climate Change. 1996. Climate Change 1995. The Science of Climate Change. Contribution of working group I to the second assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.

• Mooney, H.A. 1998. The Globalization of Ecological Thought. Ecology Institute, Oldendorf.