DESIGN OF CHEMICAL SENSOR ARRAYS FOR MONITORING DISPOSAL SITES ON THEOCEAN-FLOOR

We develop methods for automatic environmental monitoring of disposal sites on the deep ocean door using chemical sensor arrays and statisti cal hypothesis testing. Such sites have been proposed to relocate dred ge materials from harbors and shipping channels. The transport of poll utants is modeled as a diffusion process, and the measurement and stat istical models are derived by exploiting the spatial and temporal evol ution of the associated concentration distribution. We derive two dete ctors, the generalized likelihood ratio (GLR) test and the mean detect or, and determine their performance in terms of the probabilities of f alse alarm and detection. The results are applied to the design of che mical sensor arrays satisfying criteria specified in terms of these pr obabilities, and to optimally select a number of sensors and time samp les. Numerical examples are used to demonstrate the applicability of o ur results.