1 / 15

Water Quality Estimation from Regional Characteristics

Water Quality Estimation from Regional Characteristics. Daniel P. Ames GIS in Water Resources 12/1/1999. Goals. Develop methodology for automatically extracting regional characteristics associated with a specific control point

williecharris
Download Presentation

Water Quality Estimation from Regional Characteristics

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. Water Quality Estimation from Regional Characteristics Daniel P. Ames GIS in Water Resources 12/1/1999

  2. Goals • Develop methodology for automatically extracting regional characteristics associated with a specific control point • Use methodology to build a data set of water quality measurements and regional characteristics • Examine data set for relationships and predictability

  3. Step 1: Collect and assemble data

  4. Step 2: Set water quality parameter

  5. Step 3: Select control points

  6. Step 4: Select small order reaches

  7. Step 5: Run script to extract regional characteristics - choose reach file

  8. Step 6: Run script to extract regional characteristics - choose water quality data theme

  9. Step 7: Run script to extract regional characteristics - choose land use theme

  10. Step 8: Run script to extract regional characteristics - select output table

  11. Step 9: Run script to extract regional characteristics - 200 M buffer is created

  12. Step 10: Run script to extract regional characteristics Data extracted currently include: Mean Total Phosphorous % Agriculture, % Forrest, % Range, and Other Latitude & Longitude Contributing reaches Total Area

  13. Results

  14. Results Data has been extracted for 167 streams in Eastern Idaho Relationships between TP and % agriculture, TP and % range, and TP and total area appear to be the strongest It is clear that additional predictors such as soil type and drainage relief may be important This may be a useful method to make screening-level estimates of phosphorous using readily available GIS data.

  15. The End

More Related