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FTABLE Generation Method Effects on Instream Fecal Bacteria Concentrations Simulated With HSPF1
Authors:Kyle M Hall  Rebecca W Zeckoski  Kevin M Brannan  Brian L Benham
Institution:1. Respectively, Graduate Research Assistant (Hall) and Research Associates (Zeckoski, Brannan), Biological Systems Engineering and the Center for TMDL and Watershed Studies, Virginia Tech, Blacksburg, Virginia 24061;2. Extension Specialist and Associate Professor, Biological Systems Engineering;3. Director Center for TMDL and Watershed Studies, Virginia Tech, 209 Seitz Hall (0303), Blacksburg, Virginia 24061.
Abstract:Abstract: Computer simulation models are used extensively for the development of total maximum daily loads (TMDLs). Specifically, the Hydrological Simulation Program‐FORTRAN (HSPF) is used in Virginia for the development of TMDLs for bacteria impairments. HSPF estimates discharge from a reach using function tables (FTABLES). The FTABLE relates stream stage, surface area, and volume to discharge from a reach. In this study, five FTABLE estimation methods were assessed by comparing their effect on various simulation outputs. Four “field‐based” methods used detailed cross‐sectional data collected via site surveys. A fifth “digital‐based” method used digital elevation data in combination with the Natural Resources Conservation Service Regional Hydraulic Geometry Curves. Sets of FTABLEs created using each method were used in simulations of instream bacteria concentration for a Virginia watershed. Several statistics relating to instream bacteria including long‐term average concentration, die‐off, and the violation rate of Virginia’s bacteria criterion were compared. The pair‐wise Student’s t‐test was used for the comparison. The HSPF simulations that used FTABLES estimated from digitally based data consistently produced significantly higher long‐term average instream fecal bacteria concentrations, significantly lower instream fecal bacteria die‐off, which is related to differences in residence time in the streams, and significantly higher water quality criterion violation rates.
Keywords:simulation  watershed management  nonpoint source pollution  time series analysis  HSPF
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