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LINEAR PROGRAMMING USE FOR EVALUATING WATER RESOURCES AND COST AND BENEFIT ALLOCATION 1
Author(s) -
Andrews Richard A.,
Weyrick Richard R.
Publication year - 1973
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1973.tb01733.x
Subject(s) - valuation (finance) , water resources , shore , drainage basin , environmental science , resource (disambiguation) , acre , linear programming , structural basin , water resource management , natural resource economics , business , economics , geography , agricultural science , mathematics , computer science , ecology , computer network , paleontology , oceanography , cartography , finance , algorithm , biology , geology
A linear programming model for a river basin was developed to include almost all water‐related economic activity both for consumers and producers. The model was so designated that the entire basin or basin sub‐division could be analyzed. The model included seven sectors, nine objective function criteria, and three river‐flow levels. Economic basis for conflicts among sectors over incidence of cost allocation and level of economic activity can be traced to some chosen objective. The disposal of untreated household waste water, particularly from the rural household, directly into the river was consistent with maximizing net benefits and minimizing costs. The optimum resource allocation, water‐treatment plants, farms and industry activities would change with flow level. For each of the three industries analyzed separately, paper, wool and tanning, public treatment of industrial waste water was the optimal treatment process in one or more of the solutions. Lake shoreline was the dominant feature determining lake‐resource valuation. Implied capital value varied from $126 per shoreline foot to over $250 depending on discount rate. Implied prices on lake surface ranged from $42 to $147 per acre. Strong economic forces encouraged small lot sizes for vacation cottages.