[Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='TERRESTRIAL HYDROSPHERE', Science_Term='WATER QUALITY/WATER CHEMISTRY', Science_Variable_Level_1='CONTAMINANTS']
SPAtially Referenced Regressions On Watershed Attributes (SPARROW) Modeling of Surface-Water QualityEntry ID: 01-usgs_sparrow-01
Abstract: SPARROW (SPAtially Referenced Regressions On Watershed attributes) models are used to estimate long-term average values of water characteristics, such as the amount of a contaminant that is delivered downstream, on the basis of existing monitoring data, location and strength of contaminant sources, and characteristics of the landscape.
Modeling results can help managers determine how to reduce loads of contaminants and design protection strategies; design strategies to meet regulatory requirements; predict changes in water quality that might result from management actions; and identify gaps and priorities in monitoring.
Use Constraints SPARROW runs with SAS version 8.0 (or higher), supported on Windows 95 or Windows NT Version 4.0 (or higher). The SAS Geographic Information System (SAS/GIS) software component is optional for producing maps of model output. The minimum hardware configuration is Intel or Intel-compatible Pentium class processor with 64 megabytes of memory, and XGA or SVGA monitors with minimum screen resolution of 800x600. The work directory used by the SAS system must be of sufficient capacity to hold files as large as several hundred megabytes.
Role: TECHNICAL CONTACT
Phone: 302-732-2506 x230
Email: spreston at usgs.gov
Smith, R.A., G.E. Schwarz, and R.B. Alexander, Regional Interpretation of
Water-Quality Monitoring Data, 1997, Water Resources Research, v. 33, no. 12,
Other references are available at the end of the .pdf version of the journal
Extended Metadata Properties
(Click to view more)
Creation and Review Dates