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<br />Table 7. Continued. <br /> Historical <br />Scientific name Common name data Underhill <br />Ammocrypta clara Western sand darter x x <br />Etheostoma cae1Uleum Rainbow darter a X X <br />E. exile Iowa darter a X X <br />E. flabellare Fantail darter a X X <br />E. nigTUm Johnny darter a X X <br />E. zonale Banded darter a X X <br />Perea {lavescen8 Yellow perch a X X <br />Percina caprodes Logperch X X <br />P. maculata Blackside darter a X X <br />P. phomcephala Slenderhead darter a X X <br />Stizostedion canadense Sauger a X X <br />S. vitreum Walleye a X X <br />Aplodinotus gmnnien8 Freshwater drum a X X <br />aFound at 45 reference sites in 1990. <br /> <br />The poor biological conditions, as expressed by <br />the mI, of so many selected reference sites indi- <br />cates that there may be a problem with either the <br />sites or the scoring. Most of the low scores occurred <br />at sites in streams with a drainage area less than <br />500 km2. The sites chosen may not have been good <br />reference sites. However, most of the Minnesota <br />River headwater streams have been altered exten- <br />sively, and these sites probably represent some of <br />the best existing conditions in the basin. Also, some <br />of the metrics used may not be applicable to small <br />streams. <br />In 1991 and 1992, 37 headwater streams (minor <br />watersheds examined by the Land Use Section) <br />were sampled. Additionally, two major tributaries, <br />the Redwood and Blue Earth rivers, were sampled <br />longitudinally. Sampling on the major tributaries <br />began at the mouth and continued upstream to <br />near the source of sustained flow and included <br />minor tributaries. The objective of this sampling <br />was to determine the longitudinal IBI scores and to <br />relate these scores with resource conditions in <br />terms of habitat, water chemistry, and surrounding <br />land use. <br /> <br />Data Management <br />Subcommittee <br /> <br />Modeling <br /> <br />Mathematical models can be used to evaluate <br />the cumulative effects of nonpoint source loadings <br />from surface runoff by simulating pollutant trans- <br /> <br />CHRISTOPHER M. KAVANAUGH 19 <br /> <br />port through the river system, pollutant interac- <br />tions, biochemical transformations, and the over- <br />all effect on the river's water quality. A comprehen- <br />sive model is being developed using hydrological, <br />land use, and water quality data collected in the <br />Minnesota River watershed. This model will be <br />used as an analytical tool for evaluating the spatial <br />and temporal loadings from nonpoint source pollu- <br />tion and their effect on water quality in the Min- <br />nesota River. <br />The Hydrologic Simulation Program-FOR- <br />TRAN, supported by the U.S. Environmental Pr0- <br />tection Agency Center for Exposure Assessment <br />Modeling (Ambrose and Barnwell 1989), will be <br />used to simulate the effect of non point source load- <br />ings in the mainstem. The Hydrologic Simulation <br />Program-FORTRAN is a comprehensive model of <br />watershed hydrology and water quality that inte- <br />grates runoff processes from land surfaces with the <br />instream physical and chemical water quality <br />processes. The model is designed to simulate a <br />time series of runoff flow rate, sediment load, oxy- <br />gen-demanding organics, and nutrient concentra- <br />tions, along with a time series of water quantity <br />and quality at any point in the watershed. Model <br />output can be processed through a frequency and <br />duration analysis routine for summation and <br />evaluation of the fate and transport of pollutants <br />through the river system. Because the Hydrologic <br />Simulation Program-FORTRAN is a general pur- <br />pose model, its output can be used to support more <br />specialized hydrodynamic models, such as the <br />Water Analysis Simulation Program, for closer <br />examination of special water quality situations. <br />