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(3) U.S. Department of Agriculture, Science and Education '~ <br />Administration (USDA, SEA)--historical (1976 through <br />1980) data on streamflows at selected study sites later <br />collected by Twentymile Coal Company. <br />(4) Colorado Department of Health (CDH)--water-quality data <br />on the Yampa River upstream from Trout Creek. <br />(5) Colorado Mined Land Reclamation Division (CMLRD)--Public <br />files on Pittsburgh and Midway Coal Mining Company's <br />(P&M's) data on streamflows and water quality on upper <br />Trout Creek. <br />Streamflow and water-quality monitoring sites used in this study <br />are indicated in Figure 1. <br />For calibration purposes in this study, an 8-year period of record <br />from the 1976 through 1983 water years was designated for assess- <br />ing the historical variability of ambient conditions of streamflow '~ <br />and water quality. This can be compared to the 6-year period of <br />record (1976 through 1981 water years) included in the previous <br />Parker and Norris (1983) model study. For this 8-year historial <br />period (1976 through 1983 water years), gaps occurred in many of <br />the available streamflow records; also, streamflows for the entire <br />study period had to be estimated at selected model nodes. For <br />prediction purposes in this study, parts of the historical period <br />or average conditions available to the current study then could be <br />selected, as desired, for evaluating mine-related impacts, based <br />upon data and information provided by TCC on their proposed mine <br />plan. <br />Water-quality data for designated nodes frequently were sparce and <br />at best were collected intermittently over parts of the historical <br />period of record. For this study, through use of regression <br />functions related to streamflow or indicator water-quality <br />variables, a detailed and comprehensive water-quality characteri- I~ <br />zation was developed for purposes of the modeling analyses. <br />Streamflow data fill-in procedures and use o ~ regression functions <br />-3- <br />