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Related Experiment Video

Updated: May 23, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions.

Nathaniel L Booth, Eric J Everman, I-Lin Kuo

    Journal of the American Water Resources Association
    |March 30, 2012
    PubMed
    Summary

    The U.S. Geological Survey developed water-quality prediction models for nitrogen and phosphorus. A web-based system provides access to these SPAtially Referenced Regressions On Watershed attributes (SPARROW) models for scenario testing and water-quality planning.

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    Area of Science:

    • Environmental Science
    • Hydrology
    • Water Quality Modeling

    Background:

    • The U.S. Geological Survey National Water Quality Assessment Program has developed water-quality prediction models for nitrogen and phosphorus across the United States.
    • These models estimate water-quality conditions in unmonitored streams and assess impacts of land use and management scenarios.

    Purpose of the Study:

    • To provide accessible tools for water-quality prediction and scenario testing.
    • To support water-quality planning and research through a user-friendly interface.

    Main Methods:

    • Utilized calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models.
    • Developed a web-based decision support system (DSS) with a graphical user interface.
    • Integrated SPARROW models with modified digital stream networks (RF1 and NHDPlus).

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    Main Results:

    • SPARROW models can estimate yield, flow-weighted concentration, and load of water constituents.
    • The DSS allows users to access simulation results and test various land-use and management scenarios.
    • Model results are accessible via a web browser for public use.

    Conclusions:

    • The SPARROW DSS enhances accessibility to water-quality modeling tools.
    • The system facilitates informed decision-making for water resource management and planning.
    • The integration of SPARROW models with accessible technology supports broader scientific research and public engagement.