Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality
description
Transcript of Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality
![Page 1: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/1.jpg)
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](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/2.jpg)
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
![Page 3: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/3.jpg)
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
![Page 4: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/4.jpg)
Introduction to LTHIA
http://danpatch.ecn.purdue.edu/~sprawl/LTHIA7/documentation/how%20works.html
![Page 5: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/5.jpg)
Context
LTHIA Output
Nutrient Fate
In-Stream Water Quality Ecologica
l Health
![Page 6: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/6.jpg)
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
![Page 7: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/7.jpg)
Hypothesis
• Small depth to bedrock– Less nutrient uptake by soil
microbes– Shorter nutrient pathway– NPS loads will be closer to
surface water quality values
![Page 8: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/8.jpg)
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
![Page 9: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/9.jpg)
Study SitesAve. depth to bedrock 32 meters.
![Page 10: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/10.jpg)
Study SitesAve. depth to bedrock 9 meters.
![Page 11: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/11.jpg)
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
![Page 12: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/12.jpg)
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%
![Page 13: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/13.jpg)
Sensitivity Analysis
![Page 14: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/14.jpg)
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
![Page 15: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/15.jpg)
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
![Page 16: Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality](https://reader035.fdocuments.net/reader035/viewer/2022081516/568139cc550346895da17a99/html5/thumbnails/16.jpg)
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.