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- W2022963525 abstract "An explicit treatment of the uncertainty in the state of environmental quality of a natural resource system can provide a quantitative basis for information gathering decisions. This paper presents the formulation of a class of optimal measurement control problems in the context of natural resource systems. In particular, the design of optimal polluting level measurement control to be used for the optimal estimation or prediction of the state of a stochastic environment system is considered. Filtering theory, an extension of bayesian analysis to dynamic systems, is used to formulate a dynamic pollution level measurement optimization problem in which ‘the state of the plant’ is given by the elements of the variance-covariance matrix of pollution level estimates and the control is related to the determination of the locations of sampling sites and to finding the sequencing of measurements in time. The problem statement is in such a form so that the deterministic as well as the stochastic principle of Pontry..." @default.
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- W2022963525 date "1988-01-01" @default.
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- W2022963525 title "Optimal measurement control strategies for natural resource systems" @default.
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- W2022963525 doi "https://doi.org/10.1080/00207728808967598" @default.
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