The Best Number of IGS Stations by Grouping Network for Solving Total Zenith Delay

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Abstract:

Short-term adverse weather conditions have a direct impact on geological disasters. However, the data source of high-precision weather on real time can be provided by GPS technology. At the same time, the high-precision and real-time weather forecast can provide important and basic information for geological disasters monitoring, forecasting and prevention. However, the precision of the total zenith delay in troposphere directly affects the estimating precision of the water vapor contents over stations, which affects the accuracy of real-time weather forecast. In this paper, the total zenith delay of GPS observational station is solved respectively by GPS data on GPS observational station grouped with different IGS stations using high-precision software-GAMIT/GLOBK developed by the Massachusetts Institute of Technology. The solving results are comparatively analyzed to draw:the best number of IGS tracking stations by grouping network for improving the precision of the total zenith delay in troposphere is 3. It is of great realizable significance.

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Periodical:

Advanced Materials Research (Volumes 121-122)

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764-768

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Online since:

June 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bar-severY E, Kroger P M: Strategies for GPS-based estimates of troposphere delay. Proceedings of 9th symposium of SDIN, 615-623(1996).

Google Scholar

[2] Gu, X.P.: Research on retrieval of GPS water vapor and method of rainfall forcast. China University of Agriculture, BeiJing, 55-70(2004).

Google Scholar

[3] Liu, X.C., Zhang, Z.L., Yang, J.: Analysis influence factor of atmosphere precipitable water vapor by GPS inversion. Surveying Science, Vol. 32, No. 2, 21-24(2007).

Google Scholar

[4] Ren, Y.F., Ke, X.Z.: Analysis on tropospheric delay in the GPS positioning errors. Journal of XiAn University of Science and Technology, Vol. 22, No. 4, 407-410(2006).

Google Scholar

[5] Yang, H.M., Xu, B.X., Zhou, X.J.: Application on analysis weather by GPS resources. Meteorological Science and Technology, Vol. 12, No. 4, 32-34(2000).

Google Scholar

[6] Yin, H.T.: Study on the regional tropospheric delay 4-Dimension modeling and applications based on the multiple reference stations networks. Southwest JiaoTong University, ChengDu, 130-141 (2006).

Google Scholar

[7] Zhao, F., Dai, L.J., et al: Analysis on satellite orbit processing in detecting water vapor by GPS. Journal of NanJing Institute of Meteorology, Vol. 30, No. 1, 140-143(2007).

Google Scholar