Development of a Simplified Regression Equation for Predicting Underground Temperature Distributions in Korea

Sung-Woo Cho and Pyeongchan Ihm
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Sung-Woo Cho: Department of Architectural Engineering, Changwon University, Gyeongnam 51140, Korea
Pyeongchan Ihm: Department of Architectural Engineering, Dong-A University, Busan 49315, Korea

Energies, 2018, vol. 11, issue 11, 1-18

Abstract: The Korea Meteorological Administration (KMA) measures outdoor temperature and ground surface temperature at 95 observation points, but monthly ground temperatures by depth, which are important for using geothermal heat, are only provided for nine points. Since the ground temperature is known in the vicinity of only nine observation points, it is very difficult to predict underground temperature in the field. This study develops a simplified regression equation for predicting underground temperature distributions, compares the prediction results with the experimental data of Korea’s representative areas and the data measured in this study, and examines the validity of the developed regression equation. The regression equation for predicting temperature amplitudes at ground depths of 1.0, 3.0, and 5.0 m was derived using the amplitude ratio of outdoor temperature and surface temperature provided by KMA at nine points in Korea from 2006 to 2015. The coefficient of determination was as high as 0.93 (95% confidence level). In addition, the field-measured ground temperature distribution at a depth of 3 m was in good agreement with the predicted ground temperature distribution in Changwon districts for the whole of 2017.

Keywords: ground temperature distribution; regression equation; weather data; Korea Meteorological Administration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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