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<br /> <br />l\:) <br />I-" <br />0') <br />(;"n <br /> <br />To do this, a massive task was undertaken. Hydrologic data were <br />obtained from the USGS on magnetic tapes which had to be reorganized <br />for the analysis programs to accept. Data had to be scanned, studied, <br />analyzed, and interpreted to arrive at a set of information which <br />would be sound for model use, yet be ready for production studies <br />by late 1973. A reexamination of these data is expected to provide <br />significant improvements in the near future. <br /> <br />It should be realized that such a large-scale application of <br />stochastic generation techniques had probably never before been <br />undertaken. For this reason, many setbacks and periods of discourage- <br />ment were encountered, particularly in the elementary stages. Because <br />the use of stochastic methods was new to the USBR, there was little <br />"in-house" experience or judgment to rely upon. In passing it should <br />be made clear that the problems encountered were not entirely due <br />to the development of the stochastic techniques or to the creation <br />of new river basin simulation model but rather the problems resulted <br />from both of these ambitious undertakings, Our experiences have <br />continually pointed to new areas for refinement and improvement of <br />both the river basin simulation model (hereafter referred to as the <br />model) and the stochastic generation of input data for the model <br />(hereafter referred to as the generation), As applications were <br />made and the results examined, several topics have been noted which <br />warrant further investigation. These will be discussed in chapter V <br />as recommendations for future work. <br /> <br />1.2 Philosophy of Approach <br /> <br />Before discussing the model and generation in more detail, the <br />philosophy which led to adopting this approach should be set forth. <br />Because of the complexity of a large water resource system such as <br />the Colorado River Basin, a computerized model is needed to mathe- <br />matically describe its behavior. The physical features and operating <br />processes of a river system usually can be adequately represented by <br />mathematical formulas and logic which simulate the controls and flow <br />of water within the system. Once the basin operation is duplicated <br />and the model is accepted as an accurate reflection of the real sys- <br />tem, a quest ion arises as to what hydrologic inflows should be used. <br />It should be noted that the model itself does not require stochastic <br />inputs and therefore must be judged as accurate based only upon its <br />own merits. Since the basin operation itself is often a rigid set <br />of rules for manipulating water, the basic inflow or supply becomes <br />the major variable in the analysis. Historic records of streamflows <br />can be used, but they suffer serious drawbacks, One of these is that <br />a historic trace will never again repeat itself, In addition, <br />historic traces are too short to study long-term system properties <br />or rare events which may not be adequately represented. Another <br /> <br />2 <br />