Stream water quality is increasingly managed with the aid of mathematical or numerical models that incorporate the influences of biological, chemical, and physical processes. Such models require forcing, population, and calibration/validation data to effectively predict the influences of management strategies. Changes to the resolution of these data are anticipated to affect model predictions and, therefore, may bias interpretation of water quality control strategies. By analyzing model sensitivity to these data, information indicating appropriate levels of data resolution can be extracted. In 2010, instream water quality studies were conducted for nine central and northern Utah streams that receive wastewater effluent. Data and preliminary modeling results from a subset of the sites will be presented as well as the key issues identified with the supporting data collection. Information regarding future data collection and modeling efforts necessary to develop appropriate data collection resolution will be discussed. Overall, this effort will aid in guidance to minimize the number of data types and resolution required while maintaining acceptable model uncertainty.
- data resolution,
- water quality modeling
Available at: http://works.bepress.com/bethany_neilson/9/