Abstract
Landslide is a common geological disaster with wide distribution and great harmfulness, which poses a serious threat to the safety of human life and property. Rainfall is the biggest influencing factor of loess landslide. Since rainfall is closely related to the PWV content, the Global Navigation Satellite System (GNSS) can not only obtain the three-dimensional deformation information of the location of the observation station, It can also be used to invert the moisture content. In order to make GNSS play a better role in landslide monitoring, based on the landslide event in Linxia city, In this paper, GAMIT software is used to calculate the data of three IGS stations combined with the monitoring station in Linxia city, and the PWV is inverted and compared with the rainfall, The PWV value accumulates continuously from low to high, and when it reaches a certain peak value and lasts for a period of time, rainfall events will occur. The results show that PWV has an obvious correspondence with actual rainfall, which proves the feasibility of ground-based GNSS inversion of moisture content. The three-dimensional surface deformation information obtained by the universal receiver is analyzed synthetically. The experimental results show that there is a correlation between the shape variables, PWV and rainfall, which proves the feasibility of GNSS meteorology for loess landslide monitoring. By analyzing the historical meteorological data of Linxia city, the rainy season is concentrated in May to September, during which the real-time calculation scheme can be adopted. When there is less rainfall from October to April of the next year, sky solution or weekly solution can be adopted. In addition, when the PWV is greater than 20 mm, real-time calculation can be performed to monitor landslide conditions. The cumulative PROCESS of PWV before rainfall is of great significance for monitoring loess landslide. Therefore, GNSS inversion of PWV provides a new monitoring strategy for loess landslide.
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References
Bevis, M., et al.: GPS meteorology: mapping zenith wet delay onto precipitable water. J. Appl. Meteorol. 33, 379–386 (1994)
Jin, X., Kun, S. Chen, Y., Li, J.: Analysis on the characteristics of GPS precipitable water vapor during heavy rainfall. GNSS World of China (2018)
Cao, Y., et al.: Comparison of precipitable water vapors from different data sources based on the GNSS meteorological retrieval. Earthquake Research in China (2020)
Rocken, C., et al.: GPS storm-GPS sensing of atmospheric water vapor for meteorology. J. Atmos. Ocean Tech. 12(3), 468–478 (1995)
He, P., Xu, B., Zhou, X., Wang, H.: The preliminary experiment on deriving integrated atmospheric water vapor from ground-based GPS. J. Appl. Meteorol. Sci. (2012)
Yang, P., et al.: Analysis of influencing factors and accuracy evaluation of PWV in Loess Plateau. Geom. Inf. Sci. Wuhan Univ. (2020)
Huang, L.K., et al.: Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin China. Satell. Navig. 2(13), 1–7 (2021)
Xue, F., Gao, X., Zhang, Y.: Inversion of water vapor content in the atmosphere using foundation GPS practice. GNSS World of China (2012)
Zhang, Y., Cheng, B., Bai, Z., Gao, X.: Research on GPS sensing of atmospheric water vapor data processing using GAMIT. J. Navig. Position. (2014)
Liu, A., et al.: The application of GPS-PWV computing data in Jinan area. Sci. Meteorol. Sin. 30(4), 1–10 (2010)
Zhang, S., Shirong, Y.E., Jingnan, L., Li, C.: Latest progress of dynamic mapping functions and its application to GNSS retrieved water-vapor. J. Geom. Inf. Sci. Wuhan Univ. 34, 280–283 (2009)
Zhou, J., Chen, G., Zhang, H.: Analysis of tropospheric delay application in GAMIT short baseline calculation. GNSS World of China (2019)
Yang, J.J., Yao, Y., Xu, C., Cao, N.: Analysis of the correlation between PWV and actual rainfall. J. Geom. (2016)
Liu, Y., Zhang, F., Sun, X.: Application of Ground-Based GPS precipitable water vapor to monitor heavy rainfall event of 2011 in Beijing. J. Geodesy Geodyn. 33, 63–66 (2013)
Mingliang, W., et al.: High-precision GNSS PWV and its variation characteristics in China based on individual station meteorological data. Remote Sens. 13(7), 1296 (2021)
Acknowledgments
Thanks to the GAMIT/GLOBK software jointly developed by MIT, Scripps Institution of Oceanography, We would also like to thank the Meteorological data of Linxia provided by the National Meteorological Administration, All anonymous reviewers and editors are thanked for their constructive review of this manuscript.
Funding
This research was funded by National Natural Science Foundation of China Projects (42074041); National Key Research and Development Program of China (2019YFC1509802); State Key Laboratory of Geo-Information Engineering (SKLGIE2019-Z-2-1); Shaanxi Natural Science Research Program (2020JM-227).
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Jiang, J., Zhang, S., Jia, C., Wang, X., Li, X. (2022). Research on Monitoring Strategy of Loess Landslide with GNSS Meteorology. In: Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC 2022) Proceedings. CSNC 2022. Lecture Notes in Electrical Engineering, vol 908. Springer, Singapore. https://doi.org/10.1007/978-981-19-2588-7_9
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DOI: https://doi.org/10.1007/978-981-19-2588-7_9
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