论文部分内容阅读
土壤热导率是重要的土壤热参数之一,在下垫面土壤热量的传输中起到重要作用;同时也是区域气候模式、陆面过程模式中重要的输入参数,在预估未来气候变化等方面也具有重要作用.根据国内外的研究现状,评述了土壤热导率的影响因素和模拟方案.其中,土壤质地、温度、含水(冰)量和孔隙度等是影响土壤热导率的主要因素,特别在研究冻土时需重点分析含冰量的变化.结合影响因素,比较分析了典型的国内外计算土壤热导率的模型,得出这些模型多适用于模拟常温下的热导率,低温条件如青藏高原冻土区模拟结果并不理想.因此,多年冻土区土壤热导率的研究多基于观测资料计算或使用陆面模式中的参数化方案估算,但因多年冻土内部水热传输过程的复杂性,青藏高原多年冻土区热导率的模型模拟仍需进一步研究.
Soil thermal conductivity is one of the important soil thermal parameters and plays an important role in the transmission of soil heat in the underlying surface. It is also an important input parameter in the regional climate model and the land surface process model. In predicting the future climate change, But also plays an important role.According to the research status at home and abroad, the influencing factors and simulation schemes of soil thermal conductivity are reviewed, in which the soil texture, temperature, water (ice) content and porosity are the main factors affecting soil thermal conductivity Especially in the study of frozen soil should focus on analysis of changes in ice content.Combined with the influencing factors, a comparative analysis of the typical domestic and international soil thermal conductivity model, and concluded that these models are more suitable for simulating the thermal conductivity at room temperature, Therefore, the study of soil thermal conductivity in permafrost regions is mostly based on observed data or using parametric schemes in land surface models. However, due to the fact that the permafrost internal water The complexity of the heat transfer process and the model simulation of the thermal conductivity in the permafrost region of the Qinghai-Tibet Plateau still need further study.