Analysis on thermal conductivity of typical geomorphological units in Shaanxi Province based on superposition method
ZHANG Le1,2, ZHOU Yang1,2, LIU Jianqiang1,2, JIN Guang1,2, ZHANG Yage1,2
1. Shaanxi Geological Survey Center of Hydrogeology, Engineering Geology and Environmental Geology, Xi’an 710068, China; 2. Shaanxi Institute of Geological Survey, Xi’an 710054, China
Abstract：In recent years, shallow geothermal energy has received extensive attention, but the failure rate of existing projects is high due to insufficient analysis of the thermal conductivity of the strata during the development and utilization process. In order to solve this problem, the authors collated 46 sets of thermal response test results that have been carried out in different geomorphological units in Shaanxi Province. Based on the linear heat source model, the thermal conductivity of typical geomorphological units in Shaanxi Province was analyzed by superposition method. The results show that the thermal conductivity of three geomorphological units(mountain basin, desert plateau and fault basin) decreases gradually. In the same geomorphological unit, the thicker the loess cover of Quaternary, the worse the thermal conductivity of the borehole. The difference of thermal conductivity in loess tableland is quite large, and the influencing factors of thermal conductivity in the geomorphological unit can be further studied. Based on the study of the distribution characteristics of thermal conductivity in different geomorphological units, some suggestions for the development and utilization of shallow geothermal energy in different regions were put forward, thus providing some ideas and technical supports for further efficient and high-quality development of shallow geothermal energy.
张乐, 周阳, 刘建强, 金光, 张亚鸽. 基于叠加法的陕西省典型地貌单元岩土导热系数分析[J]. 中国地质调查, 2020, 7(1): 91-96.
ZHANG Le, ZHOU Yang, LIU Jianqiang, JIN Guang, ZHANG Yage. Analysis on thermal conductivity of typical geomorphological units in Shaanxi Province based on superposition method. , 2020, 7(1): 91-96.
2020, Vol. 7 
