大高差边坡RTK对流层延迟模型研究

Tropospheric delay modeling for RTK positioning in slopes with large height differences

  • 摘要: 在GNSS边坡监测中,基准站与监测站间的大高差会增加相对对流层延迟误差,严重制约实时动态差分(real time kinematic, RTK)垂向定位精度. 为此,本文构建了一种顾及大高差改进的区域对流层模型. 该模型基于基准站与监测站高精度天顶对流层延迟(zenith tropospheric delay, ZTD)模型数据,采用三次多项式函数建立ZTD与站间高程之间的函数关系,同时考虑了ZTD的季节变化特征,建立了区域对流层模型. 为验证模型的有效性,以滨海某大高差边坡为研究对象,实验结果表明,本文提出的该模型有效提升了U方向的定位精度,较Saastamoinen模型、第三代全球气压和气温(Global Pressure and Temperature 3, GPT3)模型分别提升了约15%、8%. 该模型有效提升站间大高差对流层误差改正效果,为GNSS大高差边坡监测提供了方案.

     

    Abstract: In GNSS slope monitoring, large height differences between reference and monitoring stations increase relative tropospheric delay errors, which severely limit the vertical accuracy of real time kinematic (RTK) positioning. To address this issue, an improved regional tropospheric model was developed. The model utilized high-precision zenith tropospheric delay (ZTD) model data from the reference and monitoring stations to establish a cubic polynomial relationship between ZTD and station height, while also accounting for seasonal variations. A coastal slope with significant elevation differences was selected as the study site to validate the model. Experimental results show that the proposed model in this paper significantly improves vertical positioning accuracy in the up component, with enhancements of approximately 15% and 8% compared with the Saastamoinen and Global Pressure and Temperature 3 (GPT3) models, respectively. These findings demonstrate that the model effectively mitigates tropospheric errors under large height-difference conditions and provides a practical solution for GNSS-based slope monitoring.

     

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