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Integrating the NAWQA approach to assessments in rivers and streams

This presentation highlights the integration of monitoring and modeling in assessing water quality in rivers and streams, particularly focusing on the occurrence and potential impact of pesticides. The value of collaborating with other agencies is emphasized, as well as the applicability of regional-scale assessments. The use of other data sources outside of NAWQA is also discussed, such as the estimation of nutrient loads. The presentation concludes with the benefits of integrating data sets and enhancing decision-making in water resource management.

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Integrating the NAWQA approach to assessments in rivers and streams

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  1. Integratingthe NAWQA approach to assessmentsin rivers and streams By Donna Myers, Bill Wilber, Anne Hoos, and Charlie Crawford U.S. Geological Survey, National Water-Quality Assessment Program Presented to the National Water Quality Monitoring Council Steering Committee October 31, 2006

  2. Occurrence of Pesticides in Water; 1992-2001 Land use Streams Shallow Ground Water Agricultural Streams Shallow Ground Water Urban Streams Shallow Ground Water Undeveloped Streams Major Aquifers Mixed 0 50 100 Percentage of Samples with Detections (from Pesticides in the Nation’s Streams and Ground Water, 1992-2001, USGS Circular 1291)

  3. Common Pesticides in Streams Agricultural Urban Atrazine Metolachlor Cyanazine Simazine Prometon Tebuthiuron Diazinon Chlorpyrifos Carbaryl 0 50 100 0 50 100 Percentage of Samples with Detections (from Pesticides in the Nation’s Streams and Ground Water, 1992-2001, USGS Circular 1291)

  4. Potential of Pesticides to Affect Aquatic Life Water Bed Sediment Agricultural Water Bed Sediment Urban Water Bed Sediment Undeveloped Water Bed Sediment Mixed 0 50 100 Percentage of Sites Exceeding Benchmarks (from Pesticides in the Nation’s Streams and Ground Water, 1992-2001, USGS Circular 1291)

  5. PESTICIDE CONCENTRATIONS FOLLOW SEASONAL PATTERNS 5 AGRICULTURAL STREAMS 4 3 2 1 TOTAL PESTICIDE CONCENTRATION, ug/L 0 1 2 3 4 5 6 7 8 9 10 11 12 5 URBAN STREAMS 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 MONTH (from Pesticides in the Nation’s Streams and Ground Water, 1992-2001, USGS Circular 1291)

  6. Trends in Corn-Belt Herbicides 1 Alachlor Cyanazine 0.1 Herbicide Use 0.01 Acetochlor 0.001 1 0.1 Stream Concentrations 0.01 0.001 1992 1994 1996 1998 2000 (from Pesticides in the Nation’s Streams and Ground Water, 1992-2001, USGS Circular 1291)

  7. 1991-2000 2001-2004 2005-2006

  8. Change No. 1 – Reporting out at the regional scale

  9. Change No. 2 – Moving from “monitoring” to “monitoring and modeling” Prediction of Atrazine in Streams (from Pesticides in the Nation’s Streams and Ground Water,1992-2001, USGS Circular 1291)

  10. Three major points • Benefits of integrating monitoring with modeling • The value that we gained from collaborating with other Federal and State agencies and integrating NAWQA data with data collected by these other programs. 3. The applicability of the regional-scale assessment

  11. South Atlantic Gulf and Tennessee Region

  12. Change No. 3 – Use of other sources of data outside NAWQA Estimate of nutrient load NAWQA: 44 Other USGS: 174 Other agency: 586 (matched to USGS gage)

  13. SPARROW Model Concept

  14. SPARROW Model Framework Spatial Data Layers Monitoring Data 804 Sites Model Predictions 8,092 Stream Reaches

  15. Sources accounting for instream nitrogen load Atmospheric depositionAgricultural landDeveloped landPoint-source discharge of wastewater

  16. Factors controlling nitrogen transport

  17. Prediction Error Based on all sites + 30% NAWQA site with nutrient-load estimate

  18. Assessment of Total Nitrogen Concentration Percent of 72,000 stream miles Mean concentration, in 2002 < 0.7 mg/L 39 % > 0.7 mg/L 61 %

  19. Sensitive Coastal Areas Yield delivered to estuary from watershed, kg/yr/ha < 2 2 – 4 4 – 8 > 8 Estuary condition, 1999 Eutrophic, influenced by nitrogen input

  20. Source Shares Delivered to Sensitive Coastal Areas Cape Fear Estuary Savannah River Estuary Mobile Bay Atmospheric deposition Agricultural sources Runoff from developed land Point-source discharge

  21. Summary 1. Improved understanding through integration of monitoring and modeling2. Integrated data sets3. Enhanced decision-making

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