Abstract
Abstract This paper deals with the monitoring system for air pollution in an urban area, especially the optimum allocation of a given number of sensors. We discuss the available models for air pollution monitoring system in order to give an optimum allocation of sensors which represent local pollutant levels. A quantitative measure to allocate a given number of sensors is proposed on the basis of the Monte-Carlo variance reduction method. A two-dimensional region is divided into a given number of subdomains in such a way that one monitoring station is placed in each subdomain. It is proved that in a special case this division is equivalent to that made by the requirement of each subdomain having the same fluctuation of concentration in some defined sense. Next the relation between the number of sensors necessary in an urban area and the prespecified allowable error is derived. For illustration, our technique was applied to a highly industrialized city (Kurashiki) making use of a simplified simulation model.
Published Version
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