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<br />tv <br /><::> <br />l-" <br />tv <br /> <br />Approach <br /> <br />Techniques that are used for record extension include correlation with <br />data from tne historical period of record, correlation with data from a <br />similar site (base station), regional basin analysis, synthesis based on <br />statistics for the historical record, and conceptual modeling. Correlation <br />techniques were selected for this study because they are easy to apply and <br />have proven effective in other studies (Hirsch, 1982; Alley and Burns, 1983). <br />In addition, they are appropriate for the daily or monthly time scales of the <br />streamflow and dissolved-solids data used in this study and for the type of <br />record extension, which did not involve changes in drainage-basin <br />characteristics. <br /> <br />Four different correlation techniques were used to extend streamflow and <br />dissolved-solids records in this study. All of these techniques were based on <br />least-squares, linear regression. Streamflow at record-extension sites waS <br />estimated by simple regression on data from a base-station site. <br />Dissolved-solids concentration was estimated by weighted regression on <br />streamflow, either at the record-extension site, if streamflow data were <br />available, or at a base-station site. If a base-station site with water- <br />quality data was available, dissolved-solids concentration was also estimated <br />by simple regression on concentration at the base-station site. <br /> <br />EXTENSION OF STREAMFLOW RECORDS <br /> <br />Hirsch (1982) compared four techniques of extending streamflow records <br />using correlation. Two of the techniques were based on least-squares regres- <br />sion using data from a base-station site. The other two techniques were <br />developed by Hirsch to maintain the variance of historical data at the ex- <br />tension site. He called these techniques "Maintenance Of Variance Extension" <br />types 1 and 2 (MOVE.1 and MOVE.2). In empirical trials~ Hirsch found MOVE. 1 <br />and MOVE.2 effectively preserved certain time-series properties of the <br />historical record, such as variance and extreme-order statistics. However, <br />the goal of the present study was to produce the best estimate for each <br />individual streamflow value. Regression is most suitable for this purpose, <br />and therefore was the technique selected for extension of streamflow records <br />in this study. <br /> <br />Alley and Burns (1983) developed a method for selecting tne best base- <br />station site if several possibilities are available. They achieved good <br />results using regression, MOVE.1, and MOVE.2 analyses. However, in the <br />present study selection of a base-station site was not considered a problem. <br />There were few stations with long-term records during the period of interest <br />at the record-extension sites, and there was always one base-station site that <br />was clearly preferable. <br /> <br />Daily values of streamflow at the five sites requ1r1ng streamflow-record <br />extension and at their associated base-station sites were retrieved from the <br />u.S. Geological Survey's National Water Data Storage and Retrieval System <br />(WATSTORE). These data were used to make regression estimates of daily <br />streamflow, in cubic feet per second, which were combined to yield monthly <br />streamflow, in acre-feet per month. <br /> <br />5 <br /> <br />-.u <br /> <br />. <br /> <br />