寒区冻土遥感监测与数值模拟耦合研究

Huiran Gao, Wanchang Zhang, Hao Chen
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引用次数: 2

摘要

遥感监测信息作为冻土的重要数据源,在冻土过程数值模型中尚未得到充分利用。将两种监测方法结合起来的研究很少。在此基础上,结合已有的遥感冻土数据集,建立了基于水-热耦合理论的冻土过程分布式数值模型。所建立的模型可以模拟不同类型冻土分布、不同时间土壤冰含量等表征冻土状态的参数。该数值模型系统地整合了地表土壤F/T状态信息,并考虑了其对蒸散发、入渗和产流过程的影响。几个水文过程被整合到模型中。最后,通过青藏高原中东部那曲镇附近偏远地区的现场观测,验证了遥感监测与数值模拟耦合方法的有效性。结果表明,基于被动微波遥感的识别算法总体精度在95%以上。在数值模拟过程中对冻土遥感监测信息进行校正后,模型的效率和模拟结果的准确性得到了显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote Sensing Monitoring and Numerical Simulation Coupling Studies on Frozen Soil in Cold Regions
As an important data source of frozen soil, remote sensing monitoring information has not been fully utilized in the numerical model of frozen soil processes. Few researches exist involving the integration of the two monitoring methods. Following this study, a distributed numerical model for frozen soil processes based on coupled water-heat transferring theory in association with the previously obtained remotely sensed frozen soil datasets will be developed. Parameters characterized the frozen soil status, such as distributions of frozen soils in different types, soil ice content in different times and so on, could be simulated with the developed model. The numerical model systematically integrates the information of surface soil F/T states and considers its impact on the processes of evapotranspiration, infiltration and runoff generation. Several hydrological processes were integrated in the model. Finally, the remote sensing monitoring and numerical simulation coupling method was validated by the in-situ observations over a remote area near the town of Naqu on the East-Central Tibetan Plateau. The results shown that the overall accuracy of the discrimination algorithm based on passive microwave remote sensing was more than 95%. Under the correction of remote sensing monitoring information of frozen soil in the process of numerical simulation, the efficiency of the model and the accuracy of simulation results have been significantly improved.
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