Detection of Warming Effects Due to Industrialization: An Accumulated Intervention Model with an Application in Pohang, Korea

Abstract

Modifications of surface air temperature caused by anthropogenic impacts have received much attention recently because of the heightened interest in climatic change. When an industrial area is constructed, resulting in a large-scale anthropogenic heat source, is it possible to detect the warming effect of the heat source? In this paper, the intensity of warming is estimated in the area of the source. A statistical model is suggested to estimate the warming caused by that anthropogenic heat source. The model used in this study is an accumulated intervention (AI) model that is applied to industrial heat perturbations that occurred in the area. To evaluate the AI model performance, the forecast experiment was carried out with an independent dataset. The data used in this study are the monthly mean temperatures at Pohang, Korea. The AI model was developed based on the data for the 38-year period from 1953 to 1990, and the forecast experiment was carried out with an independent dataset for the 2-year period from 1991 to 1992.