Bayesian Approach to Tile Drain Design

by Andre Musy, Lect.; Agricultural Inst., Ecole Polytechnique Federale, Lausanne, Switzerland,
Lucien Duckstein, Prof.; on joint appointment, Dept. of Systems and Industrial Engrg. and Dept. of Hydr. and Water Resources, Univ. of Arizona, Tucson, Ariz.,

Serial Information: Journal of the Irrigation and Drainage Division, 1976, Vol. 102, Issue 3, Pg. 317-334

Document Type: Journal Paper


Economic and sociopolitical aspects of land reclamation in areas that necessitate drainage are combined with technical problems to yield a set of possible decisions, among which an optimum design is chosen. The loss or objective function is the sum of the expected damage caused by the submersion of given crops resulting from extreme rainfall events, and the initial cost of the reclamation. When the parameter uncertainty in the probability distribution function of extreme events is taken into account in the loss function, a Bayes risk function is obtained. The Bayes decision theoretic (BDT) approach consists in seeking a decision that minimizes the Bayes risk function. The BDT also evaluates the decision taken and compares the expected cost of delaying the construction to the worth of additional information resulting from such a delay. The practical example of an intensive agricultural system with different type soils and crops illustrates the methodology. Crop loss functions and probability distributions of events are assumed on the basis of empirical observations.

Subject Headings: Crops | Bayesian analysis | Tiles | Drainage | Land reclamation | Probability | Probability distribution | Risk management

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