Ground temperature prediction based on shallow-surface ground temperature and in-situ thermophysical parameters

ZHANG Qing; LI Yunfeng; GONG Xulong; HOU Lili; ZHOU Xiaoping; LU Yuanzhi; NIU Xiaonan

2021 Vol. 40, No. 10

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ZHANG Qing, LI Yunfeng, GONG Xulong, HOU Lili, ZHOU Xiaoping, LU Yuanzhi, NIU Xiaonan. Ground temperature prediction based on shallow-surface ground temperature and in-situ thermophysical parameters[J]. Geological Bulletin of China, 2021, 40(10): 1713-1719.

Citation:

ZHANG Qing, LI Yunfeng, GONG Xulong, HOU Lili, ZHOU Xiaoping, LU Yuanzhi, NIU Xiaonan. Ground temperature prediction based on shallow-surface ground temperature and in-situ thermophysical parameters[J]. Geological Bulletin of China, 2021, 40(10): 1713-1719.

Ground temperature prediction based on shallow-surface ground temperature and in-situ thermophysical parameters

1.
Nanjing Center, China Geological Survey, Nanjing 210000, Jiangsu, China
2.
Key Laboratory of Earth Fissures Geological Disaster, MNR (Geological Survey of Jiangsu Province), Nanjing 210000, Jiangsu, China

Received Date: 08 July 2020

Revised Date: 21 June 2021

Publish Date: 15 October 2021

Abstract

Abstract

In recent years, geothermal resources as a new clean energy have begun to attract widespread attention.China is rich in shallow geothermal energy resources, but exploration methods limit its large-scale development. Thermophysical parameter is one of the key parameters of geothermal energy carrier, which determines the thermal energy transmission speed and the distribution of the temperature field of the rock and soil. Therefore, shallow temperature measurement and in-situ thermophysical parameter tester based on thermophysical parameters were used to acquire ground temperature and thermophysical parameters in the field tests.The one-dimensional steady-state heat conduction theory was used to establish the geothermal field prediction model, and the lithological measurement and generalized thermal physical parameters were used to predict the geothermal field distribution of the constant temperature layer. The results show that the shallow geothermal field is greatly affected by the river water flow. The adoption of lithology generalization and the measured thermal physical parameters resulted in almost the same prediction of the temperature field of the constant temperature layer, indicating that it is very effective to predict the distribution of the temperature field of the constant temperature layer by using the developed instruments and models. In addition, the method is convenient and fast, which can be used to provide reasonable suggestions for the development and utilization of shallow geothermal energy, and it can be widely used in practical projects.
- shallow thermometry /
- geothermal field prediction model /
- shallow geothermal energy /
- thermophysical parameters

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References

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