Abstract
In cold region at Hokkaido, due to cold winter climate shows the experience of frost into tunnels, it is necessary to prevent or reduce the opportunity of frost in tunnels. But, amount of the frost information of all northern part of Japanese municipalities is not published. Therefore, this paper presents a pair of interpolation and identification procedures, to estimate of temperature at the portal and inside tunnel. The former study, the tunnel portal temperature is interpolated by Semi-Variogrm which stochastic method using to the temperatures from Automated Meteorological Data Acquisition System (AMEDAS) in Japan, and the others, the inside tunnel temperature is identified by actual observation data. Finally, numerical examples are worked out to demonstrate the usefulness of these methods.
