基于红外与微波亮温数据的月表热惯量反演研究
[Abstract]:The moon is the primary target in the exploration of deep space. The information of the thermal environment of the lunar surface is helpful to study the origin and development of the moon and solar system. As an important thermophysical parameter, the thermal inertia of the lunar surface can be interpreted comprehensively with the lithologic distribution of the lunar surface and the variation of the physical temperature of the lunar surface, thus deepening the understanding of the material characteristics of the lunar surface. In this paper, the physical temperature of the lunar surface is retrieved by using the infrared brightness temperature data obtained from the mission of the U. S. lunar exploration spacecraft and the Christiansen characteristics of the material in the infrared band. On the basis of previous studies, a new temperature profile model is proposed. Combining with the microwave radiation transfer equation and the measured microwave brightness temperature data from the Chang'e lunar exploration satellite in China, the inversion of the monthly surface temperature profile is realized. Through the comparison with the monthly surface temperature data measured by Apollo heat flux experiment, the rationality of the above-mentioned temperature inversion method is verified. As the approximation of the real thermal inertia, the apparent thermal inertia is simple and can reflect the change rule of the real thermal inertia. In this paper, the apparent thermal inertia of the lunar surface is estimated by albedo, solar irradiance and diurnal temperature difference. In this paper, two methods are used for inversion of the real thermal inertia of the lunar surface. Method one is to calculate the thermal inertia according to the definition formula by using the temperature profile obtained from the inversion combined with the thermal physical parameter model. The second method is to inverse the thermal inertia by fitting the simulated temperature with the measured temperature in combination with the heat conduction equation. Based on the inversion results of thermal inertia, the thermal inertia data obtained from the inversion are compared and analyzed from three aspects: time variation characteristics, longitudinal distribution characteristics and regional characteristics. The results show that the variation of thermal inertia in both temporal and spatial dimensions has a strong correlation with physical temperature. At the same time, because thermal inertia is the key factor affecting the day and night temperature change of the lunar surface, The thermal inertia of the impact crater area with very high rock content on the lunar surface is large and the temperature difference between day and night is obviously smaller than that in the area adjacent to the same latitude. The interactive verification of monthly surface temperature, lithologic distribution and thermal inertia provides a basis for the rationality of thermal inertia inversion method.
【学位授予单位】:华中科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:P184.5
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