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<br />ro, <br />00 <br /><::> <br />0') <br /> <br />importance of the goals and purposes associated with alternative <br />decisions. Of themselves, neither the goals nor purposes directly <br />yield the precise quantitative statements required by systems <br />analysis procedures. Therefore, the objectives require a mathe- <br />matical description before alternative strategies can be <br />evaluated (Hall and Dracup, 1970). Presumably, such a comparison <br />would permit a ranking of these pOlicies as a basis for decision <br />making. The specific measure to facilitate this examination <br />can be defined as the optimizing criterion. <br /> <br />The central problem is to link the descriptions of the <br />physical environment via mathematical models with the social and <br />political environment (Thomann, 1972). Probably the most <br />commonly used and widely accepted "indicators" are found among <br />the many economic objective functions. However, considerable <br />controversy exists as to the most realistic of these tools. If, <br />for example, aspects of a water quality problem could be priced <br />in an idealized free market monetary exchange, the forces that <br />operated would insure that every individ~al's marginal costs <br />equalled his marginal gains, thereby insuring maximum economic <br />efficiency. In the absence of this ideal situation water quality <br />cannot be quantified with a high degree of accuracy and the <br />optimizing criterion in any case is at best an indicator of the <br />particular alternative. <br /> <br />Among the more adaptable economic indicators are maximi- <br />zation of net benefits, minimum costs, maintaining the economy, <br />and economic development. The use of each depends on the ability <br />to adequately define tangible and intangible direct or indirect <br />costs and benefits. In water resource development, and water <br />quality management specifically, the economic incentives for <br />more effective resource utilization are negative in nature <br />(Kneese, 1964). A large part of this problem stems from the <br />fact that water pollution is a cost passed on by the polluter <br />to the downstream user. Consequently, the inability of the <br />existing economic systems to adequately value costs and benefits <br />has resulted in the establishment of water quality standards, <br />however, inefficient these may be economically (Hall and Dracup, <br />1970). The immediate objective of water resource planners is <br />thus to devise and analyze the alternatives for achieving <br />these quality restrictions at minimum cost, the criteria <br />chosen for this study. <br /> <br />OPTIMIZATION METHOD <br /> <br />The search for an optimizing technique to evaluate the <br />relative merits of an array of alternatives depends largely <br />upon the form of the problem and its constraints. While the <br />allegorical Chinese maxim cited by Wilde and Beightler (1967) <br />stating "There are many paths to the top of the mountain, but <br />the view there is always the same," is also true in this case; <br />not every method can be applied with the same ease. Each <br /> <br />8 <br />