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Human Water Use in the SVRP Aquifer

Spokane Valley - Rathdrum Prairie Aquifer Study. Human Water Use in the SVRP Aquifer. Presented by Bryce Contor University of Idaho Idaho Water Resources Research Institute. Outline of Talk. Water-use Overview Data Sources Estimated Components Interesting Observations Uncertainty.

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Human Water Use in the SVRP Aquifer

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  1. Spokane Valley - Rathdrum Prairie Aquifer Study Human Water Use in the SVRP Aquifer Presented by Bryce Contor University of Idaho Idaho Water Resources Research Institute

  2. Outline of Talk • Water-use Overview • Data Sources • Estimated Components • Interesting Observations • Uncertainty

  3. I: Water-use Overview

  4. MODFLOW Well Term:Human Pumping & Returns • Domestic, Commercial, Municipal and Industrial (DCMI) • Agricultural

  5. Human Extraction in the Larger Water-budget Context All figures are AQUIFER CENTRIC (Negative = Water Out)

  6. Spatial Distribution: Cell-by-Cell

  7. Spatial Distribution: Smoothed

  8. Human Use By Component

  9. Time Series

  10. II. Data Sources • USGS Water-use Data Program (Molly Maupin) • SVRP Model Data Archive (GIS Data from Counties, Cities and States) • National Ag Statistics Service crop reports (USDA) • University of Idaho Evapotranspiration Tables

  11. Personal contacts (cities, Spokane County, Panhandle Health District, Jacklin Seed, irrigation districts) • Aerial photos (USDA) • NLCD impermeable-cover data (USGS Seamless Data Server) • Idaho water-rights data (IDWR) • CH2M Hill & Golder Reports • PRISM precipitation data (Oregon State U)

  12. III. Estimated Components • DCMI uses in small towns & rural homes • Agricultural irrigation outside reporting purveyor service areas • Partitioning of pumping data to indoor & outdoor use & percolation • Partitioning of outdoor use to ag & landscape irrigation (for reporting only) • Idaho self-supplied industrial use

  13. Estimated Components – Example 1 Gross Pumping from Data Pumping Rate Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

  14. Gross Pumping from Data Winter baseline (avg of winter months) Outdoor Use Pumping Rate Indoor Use Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

  15. Gross Pumping from Data Winter baseline (avg of winter months) Typical pattern for purveyors with no ag-irrigation component Ag Irr Landscape Irr Pumping Rate Indoor Use Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

  16. Estimated Components – Example 2 In rural areas where there are no pumping data, we estimate water use based on number of homes. However, there are too many cells to count rural homes in each one.

  17. We developed an equation based on statistical sampling, by counting homes in aerial photos & comparing with remote- sensing impermeable cover data. Using the equation we can estimate rural homes in non-sampled cells. Homes/mi2 = 13.6 + 8,744 (impermeable fraction)2 sample map of impermeable fraction

  18. Estimated Components – Example 3 Spatial distribution of percolation depends on actual water delivery areas. We used aerial photos to map changes over time.

  19. IV. Interesting Observations

  20. Trends in Purveyor Pumping

  21. Seasonality No time lag was applied to percolation

  22. V. Estimated Uncertainty in Well Term +/- 2 std dev +/- 34 cfs +/- 1 std dev +/- 17 cfs This is the uncertainty due to our measurement/ estimation methods

  23. Questions? bcontor@if.uidaho.edu

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