Ground temperature prediction based on shallow-surface ground temperature and in-situ thermophysical parameters
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摘要:
近年，地热资源作为一种新颖的清洁能源已经引起广泛的关注。中国浅层地热能资源丰富，但探测手段限制其大规模发展。热物性参数是地热能赋存载体的关键参数之一，决定了热能在岩土体中的传播速度和岩土体温度场的分布。因此，采用基于热物性参数研发的浅层测温和原位热物性参数测试仪开展现场试验，获取地温、热物性参数等数据。采用一维稳态热传导理论建立地温场预测模型，利用不同岩性实测、概化热物性参数进行恒温层地温场分布预测。结果表明，浅层地温场受江水流动影响较大。采用岩性概化与实测热物性参数对恒温层地温场预测几乎一致，因此，利用研发的仪器及模型进行恒温层地温场分布预测是十分有效的。另外，该方法方便快捷，可利用其对浅层地热能开发利用提供合理的建议，并在实际工程中推广应用。
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.
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表 1 研究区浅层测量结果
Table 1. Shallow ground temperature survey results in the study area
孔号 01 02 03 04 05 06 07 08 09 10 1.5 m地温/℃ 15.0 15.0 15.1 15.7 14.8 14.5 14.7 15.4 15.6 15.2 2.5 m地温/℃ 15.3 15.2 15.4 16.0 15.1 14.7 14.9 15.7 15.9 15.4 1.5 m导热系数W/(K·m) 0.732 0.927 0.689 0.652 0.729 0.687 0.813 0.837 0.779 0.955 2.5 m导热系数W/(K·m) 0.801 0.759 0.745 0.639 0.795 0.825 0.707 0.962 0.957 0.974 孔号 11 12 13 14 15 16 17 18 19 1.5 m地温/℃ 16.5 15.4 15.3 15.7 15.2 15.6 16.0 15.3 15.1 2.5 m地温/℃ 16.8 15.7 15.5 16.0 15.5 15.9 16.2 15.6 15.4 1.5 m导热系数W/(K·m) 0.984 0.968 1.080 0.995 1.202 1.036 1.004 1.064 1.184 2.5 m导热系数W/(K·m) 1.018 1.306 1.125 1.030 1.529 0.995 1.087 1.027 1.064 
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表 2 研究区实测导热系数平均值
Table 2. Average value of measured thermal conductivity in the study area
深度/m 3 4 5 6 7 8 9 10 11 土质 粉土 粉土 粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 导热系数W/(K·m) 0.622 1.729 0.954 1.845 1.384 1.443 1.563 1.610 1.356 深度/m 12 13 14 15 16 17 18 19 20 土质 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 淤泥质粉土 导热系数W/(K·m) 1.244 1.227 0.424 0.797 1.139 1.883 1.811 1.111 0.755
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