Network-Aided Reduction of Slope Distances in Small-Scale Geodetic Control Networks
Publication: Journal of Surveying Engineering
Volume 147, Issue 4
Abstract
Most of the human-made infrastructures (e.g., dams) need very precise geodetic networks and constant monitoring to detect risks of failure and to plan civil engineering maintenance works. The combination of different measurements helps in determining displacements with high precision; therefore, the risk of damages is reduced. In this paper, we present a new approach, which considers a special geodetic observation strategy as a method to significantly reduce the volume of operations of a precise geodetic network and changes the designing concept of such networks. Decrease in data collection time and cost while keeping or increasing the quality of control networks has been one of the most important goals of any network designer. This paper proposes a method exploiting network properties to convert slope distances to the horizontal ones to be used in the classic terrestrial geodetic two-dimensional (2D) networks. We have evaluated the proposed method in different dam geodetic control networks in Iran. The network adjustment results show the acceptable performance of the presented method compared with the methods that are currently in use.
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Data Availability Statement
The data that support the findings of this study are available from the corresponding author on request.
Acknowledgments
The authors are grateful for the free use of geodetic control network data provided by the Regional Water Company of Semnan, Iran, for this study. We also appreciate the constructive comments of the esteemed reviewers, which improved the quality of the manuscript significantly. At last, we would like to thank Dr. Mahmoud Mohammad Karim, our great teacher, whose lectures initiated the main subject of this paper in our mind.
References
Amiri-Simkooei, A. R., J. Asgari, F. Zangeneh-Nejad, and S. Zaminpardaz. 2012. “Basic concepts of optimization and design of geodetic networks.” J. Surv. Eng. 138 (4): 172–183. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000081.
Andersson, J. V. 2008. “A complete model for displacement monitoring based on undifferenced GPS observations.” Doctoral thesis, Division of Geodesy, Kungliga Tekniska Högskolan.
Baarda, W. 1967. Statistical concepts in geodesy, Netherlands geodetic commission, publications on geodesy, new series, 74. Delft, Netherlands: Netherlands Geodetic Commission.
Baarda, W. 1968. A testing procedure for use in geodetic networks, publications on geodesy, new series. Delft, Netherlands: Netherlands Geodetic Commission.
Bagherbandi, M. 2016. “Deformation monitoring using different adjustment methods: A simulated study.” KSCE J. Civ. Eng. 20: 855–862. https://doi.org/10.1007/s12205-015-0454-5.
Bagherbandi, M., M. Eshagh, and L. E. Sjöberg. 2009. “Multi-objective versus single-objective models in geodetic network optimization.” Nordic J. Surv. Real Estate Res. 6 (1): 7–20.
Berber, M., P. Dare, and P. Vanícek. 2006. “Robustness analysis of two dimensional networks.” J. Surv. Eng. 132 (4): 168e175.
Bjerhammar, A. 1967. Geodesy. [In Swedish.] Stockholm, Sweden: Almqvist & Wiksell.
Bjerhammar, A. 1973. Theory of errors and generalized matrix inverses. Amsterdam, Netherlands: Elsevier.
Casaca, J., N. Braz, and V. Conde. 2015. “Combined adjustment of angle and distance measurements in a dam monitoring network.” Surv. Rev. 47 (342): 181–184. https://doi.org/10.1179/1752270614Y.0000000106.
Caspary, W. F., and H. Borutta. 1987. “Robust estimation in deformation models.” Surv. Rev. 29 (223): 29–45. https://doi.org/10.1179/sre.1987.29.223.29.
Chen, Y. Q. 1983. Analysis of deformation surveys—A generalized method. Fredericton, NB: Univ. of New Brunswick.
El-Rabbany, A. 2006. Introduction to GPS: The global positioning system: Artech house mobile communications series. 2nd ed. Boston: Artech House.
Engineer Manual. 2018. Structural deformation surveying. EM 1110-2-1009. Washington, DC: USACE.
Erol, S., B. Erol, and T. Ayan. 2004. “A general review of the deformation monitoring techniques and a case study: Analysing deformations using GPS/levelling.” In Proc., 20th ISPRS Congress, 12–23. Christian Heipke, Germany: International Society for Photogrammetry and Remote Sensing.
Grafarend, E., and F. Sanso. 1985. Optimization and design of geodetic networks. Berlin: Springer.
Heiskanen, W. A., and H. Moritz. 1967. Physical geodesy. San Francisco: W.H. Freeman and Company.
HMK-Ge:S. 1996. Handbok i mät- och kartfrågor [Handbook of measurement and map issues]. [In Swedish.] Gävle, Sweden: Lantmäteriet.
HMK-Stom. 2020. Handbok i mät- och kartfrågor [Handbook of measurement and map issues]. [In Swedish.] Gävle, Sweden: Lantmäteriet.
Horemuž, M. 2010. Deformation measurements and analysis, Lecture notes. Stockholm, Sweden: Royal Institute of Technology.
Hwang, J., Y. Hongsik, P. Sun-Kyu, L. Dongha, and H. Sungnam. 2012. “Optimal methods of RTK-GPS/accelerometer integration to monitor the displacement of structures.” Sensors 12 (1): 1014–1034. https://doi.org/10.3390/s120101014.
Klein, I., M. T. Matsuoka, M. P. Guzatto, F. G. Nievinski, M. R. Veronez, and V. F. Rofatto. 2019. “A new relationship between the quality criteria for geodetic networks.” J. Geod. 93 (4): 529–544. https://doi.org/10.1007/s00190-018-1181-8.
Kuang, S. L. 1996. Geodetic network analysis and optimal design: Concepts and applications. Chelsea, MI: Ann Arbor Press.
Marendić, A., R. Paar, and G. Novaković. 2011. “Quality analyses of the geodetic control for monitoring vertical displacements of Dubrovnik city.” Electron. J. Geotech. Eng. 16 (Bund. I): 910–921.
Moritz, H., and H. Sünkel. 1978. Approximation methods in geodesy, 235–284. Karlsruhe, Germany: Herbert Wichmann.
Nowel, K. 2015. “Robust M-estimation in analysis of control network deformations: Classical and new method.” J. Surv. Eng. 141 (4): 04015002. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000144.
Nowel, K., and W. Kamiński. 2014. “Robust estimation of deformation from observation differences for free control networks.” J. Geod. 88 (8): 749–764. https://doi.org/10.1007/s00190-014-0719-7.
Ogundare, J. O. 2018. Understanding least squares estimation and geomatics data analysis. New York: Wiley.
Scaioni, M., M. Marsella, M. Crosetto, V. Tornatore, and J. Wang. 2018. “Geodetic and remote-sensing sensors for dam deformation monitoring.” Sensors 18 (11): 3682. https://doi.org/10.3390/s18113682.
Schaffrin, B. 1985. Aspects of network design: Optimization and design of geodetic networks edited by Grafarend and Sanso, 548–597. Berlin: Springer.
Teunissen, P. J. G. 1985. “Quality control in geodetic networks.” In Optimization and design of geodetic networks, 526–547. Berlin: Springer.
Vanícek, P., M. R. Craymer, and E. J. Krakiwsky. 2001. “Robustness analysis of geodetic horizontal networks.” J. Geod. 75 (4): 199–209.
Vaníček, P., and E. J. Krakiwsky. 1986. Geodesy: The concepts. 2nd ed. Amsterdam, Netherlands: North-Holland.
Yavaşoğlu, H. H., Y. Kalkan, İ. Tiryakioğlu, C. O. Yigit, V. Özbey, M. N. Alkan, S. Bilgi, and R. M. Alkan. 2018. “Monitoring the deformation and strain analysis on the Ataturk Dam, Turkey.” Geomatics Nat. Hazards Risk 9 (1): 94–107. https://doi.org/10.1080/19475705.2017.1411400.
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© 2021 American Society of Civil Engineers.
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Received: Jun 17, 2020
Accepted: Jun 13, 2021
Published online: Sep 9, 2021
Published in print: Nov 1, 2021
Discussion open until: Feb 9, 2022
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