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I I I I I I I I I I I I I I I I I I I process followed was described in Anderson and Stewart (2000). It involved using an Excel- macro written by Mr. Stewart that stripped out non-sensible or incomplete points so only points that met the defined standard were used in the final survey. The excel-macro eliminated all non- RTK hits, indicated by a code 4 in the GGA string. Consistency in sonar data is also checked, since fish or woody debris can sometimes cause spikes in the sonar data. Spikes were eliminated based on the running average of the 3 sonar pings prior to and after a given sonar ping. If the elevation recorded in a given reading was different than the moving average of the 6 readings surrounding the given reading by more than 15cm, that ping was marked as "bad". If an RTK GPS reading had a "bad" sonar ping recorded directly before or after it, that GPS reading was ignored. For those RTK GPS signals with "good" sonar recordings before and after them, the depth for that GPS position was determined through a linear interpolation of the sonar data based on the time tags. Topographic data were also examined visually using ArcView. In ArcView, bed elevations could be examined by using the Triangular Irregular Network (TIN) module or by color coding coordinate points by elevation. Hvdraulie Simulation In the first two years of the project, hydraulic simulation and 2-D flow modeling was contracted with the Earth Resources Department of Colorado State University (CSU). Greg Stewart, a graduate student at CSU, collected and input the data RMA2-hydraulic modeling and performed the analysis during the time period June of1998 to June 2000. Anderson and Stewart (2000), and Stewart (2001, the M.S. thesis) gives details on hydraulic methods, problems and innovations used for making flow simulations on the Colorado River IS-Mile Reach (Corn Lake) and the Yampa River site at Duffy Tunnel. Greg Stewart performed most of the installation and operation of technical equipment and data handing for the 2-D modeling. Following his departure, no 2-D modeling was performed until a new contractor was found. An attempt to start a new contract (sole source) for hydraulic simulations in 2000/20001 fiscal year failed. In January 2001 a competitive bid process was initiated and a contract was finalized in mid November 2001 with Utah State University. The lost year for 2-D modeling meant a delay in producing instream flow recommendations. This identified a need to perform 2-D modeling in-house. Given direction from management to continue to utilize this project and this researcher for 2-D flow models, fish habitat mapping, and flow recommendations; the principal investigator is planning to become proficient in the computer modeling process. Dr. Craig Addley, contract administrator for 2-D modeling at Utah State, oversees modeling for the remaining four sites. His lab uses a 2-dimensional, quasi-3-dimensional model developed Jonathan Nelson of the USGS. The technical description of this model and underlying equations can be found in Nelson (1996), Thompson et al. (1998), Nelson et al. (1995), McLean et al. (1999), Topping et al. (2000). Habitat Availabilitv An objective of this study is to determine if consistent results in fish composition, size and density found at different locations are correlated to the physical habitat composition at those sites. If strong relationships are found, these data can be use to justify habitat suitability for these fish and used in future modeling of impacts offlow on habitat availability. Pools, runs, 15