Optimization of Urban Air Monitoring Networks

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Abstract
A method for optimally locating samplers in an ambient air monitoring network is presented. The criterion for site selection is based upon the overall effect of pollution dose on public health budgetary considerations and the Environmental Protection Agency's implementation plan guidelines. A probability function, which attempts to rationally measure and compare the effects of pollution on population in each zone of the study area, is derived. The probability function is based upon the concept of population dosage product which is introduced and examined. A linear programming model, which located sampling stations based upon maximization of the probability of measuring significant values of the population dosage product, is utilized. The results of this method provide a decision maker with a measure of system effectiveness for various investment levels.

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