An indoor environmental quality distribution map based on spatial interpolation methods

Abstract

Extensive and precise measurements of indoor environment quality (IEQ) factors are needed to manage the IEQ of large spaces such as multi-use facilities. In particular, it is significantly important to estimate the IEQ of a point where sensor installation is difficult. This study aimed to develop a spatial IEQ distribution map for multi-use facilities based on spatial interpolation methods. A total of 18 monitoring sensors were installed in the library's reading room, among which 14 were collection sensors used for the IEQ distribution map development. The remaining four sensors were verification sensors used to assess the measured and predicted values' accuracy. The optimal spatial interpolation method with a high degree of accuracy for each IEQ factor was derived, and the versatility of the IEQ distribution map was verified through accuracy assessments for four scenarios. The optimal number and layout of collection sensors required to develop the IEQ distribution map were also determined for each IEQ factor. It is expected that the IEQ distribution map derived from this study will allow users to quickly and easily understand the IEQ condition inside the library's reading room and enable administrators to diagnose the spatial-temporal environmental data of the library reading room using a small number of monitoring sensors.