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利用变温层温度序列获得大地热流与利用浅海或湖底连续观测的沉积物温度序列求解浅海或湖底沉积物热流时,对序列中来自大气或海水的高频温度信息的处理及浅地表介质热性质的获取都涉及到浅层地表热传输方面知识的运用.本文在将国内外浅层地表热量传输领域整体知识梳理的基础上,首先介绍了比较有代表性的五类浅地表传热模型,两类典型的土壤体积热容量计算公式、常用的四类求热扩散率的方法以及五种热导率参数化方案,及简要回顾了热通量的求解方法,并概述了每种方法的主要特点及应用状况.文中指出,今后的工作中,可以考虑建立耦合热传导-对流的多层传热模型,上边界条件可尝试先从定常温度的基础上叠加一个谐波到一组谐波,且采用各层交界面满足热性质相同的边界条件来模拟土壤的传热过程.对于较深层土壤或岩石,常用的热导率参数化方案及土壤体积热容量计算方法已不太适用,可考虑通过开发更精准的传热模型来模拟深层热物性参数以弥补其实验数据上的不足.
When using the sequence of geothermal temperature to obtain the geothermal heat flow and the sedimentary temperature series of continuous observations at shallow sea or lake bottom to solve the heat flow in shallow sea or lake bottom sediments, the high frequency temperature information from the atmosphere or seawater and the thermal properties of shallow surface media The acquisition involves the application of knowledge on the surface heat transfer in shallow.This paper first reviews the representative five types of shallow surface heat transfer models based on the overall knowledge of shallow surface heat transfer at home and abroad, Typical calculation formulas of soil volumetric heat capacity, four commonly used methods for calculating thermal diffusivity and five thermal conductivity parameterization schemes, and a brief review of the method for solving heat flux and an overview of the main features and applications of each method The paper points out that in the future work, we can consider the establishment of a coupled heat conduction - convection multi-layer heat transfer model, the upper boundary conditions can try to add a harmonic based on the constant temperature to a group of harmonics, and the use of the various layers The interface satisfies the same boundary conditions of thermal properties to simulate the heat transfer of the soil.For deeper soils or rocks, the commonly used thermal conductivity parameters Program and soil volume heat capacity calculating method is not applicable, can be considered to simulate deep thermal properties through the development of a more precise model of heat transfer thereof to compensate for the lack of experimental data.