1 / 16

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. Introduction. Global transformation occurring at a rapid scale Atmospheric variations

lacey
Télécharger la présentation

Correlating Estimated Nutrient Loading Upstream to In-Stream Water Quality

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. 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

  3. 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

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

  5. Context LTHIA Output Nutrient Fate In-Stream Water Quality Ecological Health

  6. 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

  7. Hypothesis • Small depth to bedrock • Less nutrient uptake by soil microbes • Shorter nutrient pathway • NPS loads will be closer to surface water quality values

  8. 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

  9. Study Sites Ave. depth to bedrock 32 meters.

  10. Study Sites Ave. depth to bedrock 9 meters.

  11. Calculation of conservation nutrient concentration • Takes LTHIA output (kg/grid cell) and determines in-stream water quality • Assumes 100% conservation of nutrients in runoff

  12. Actual vs. Modeled Nutrient Loading in streams

  13. Sensitivity Analysis

  14. Sensitivity Results

  15. 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

  16. 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.

More Related