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Monitoring of soil subsidence in urban and coastal areas due to groundwater overexploitation using GPS

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  • Sylvana Santos
  • Jaime Cabral
  • Ivaldo Pontes Filho

Abstract

The global positioning system (GPS) is widely used for determining the three-dimensional position of points on earth surface. In the last few years, its use has also been increasingly employed for obtaining vertical geometric coordinates, which associated with the orthometrical altitude of the point can be employed in various civil engineering applications, as has been seen in diverse localities throughout the world. The satisfactory performance of this technology for obtaining excellent precision in vertical coordinates demands some conditions, related to the satellites, such as transmission of signals and, principally, in the case of urbanized areas, the presence of obstructions in the proximity of the equipment, which interferes with the quality and quantity of the information collected. GPS is an efficient technique for the detection of small movements, including the monitoring of soil subsidence. The present article describes adequate forms of the use of GPS in such a way as to guarantee good precision of the resulting vertical coordinates, even under unfavorable situations, such as in coastal areas, where the reference networks for monitoring are implanted in only one of the sides of the point–object region, which makes the situation more difficult and requires careful planning so that the use of GPS reaches the desired precision. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Sylvana Santos & Jaime Cabral & Ivaldo Pontes Filho, 2012. "Monitoring of soil subsidence in urban and coastal areas due to groundwater overexploitation using GPS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 421-439, October.
  • Handle: RePEc:spr:nathaz:v:64:y:2012:i:1:p:421-439
    DOI: 10.1007/s11069-012-0247-9
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    References listed on IDEAS

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    1. Hasanuddin Abidin & Heri Andreas & Irwan Gumilar & Yoichi Fukuda & Yusuf Pohan & T. Deguchi, 2011. "Land subsidence of Jakarta (Indonesia) and its relation with urban development," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1753-1771, December.
    2. Hasanuddin Abidin & Rochman Djaja & Dudy Darmawan & Samsul Hadi & Arifin Akbar & H. Rajiyowiryono & Y. Sudibyo & I. Meilano & M. Kasuma & J. Kahar & Cecep Subarya, 2001. "Land Subsidence of Jakarta (Indonesia) and its Geodetic Monitoring System," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 23(2), pages 365-387, March.
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    Cited by:

    1. Rejane Maria Rodrigues Luna & Silvio Jacks dos Anjos Garnés & Jaime Joaquim da Silva Pereira Cabral & Sylvana Melo Santos, 2017. "Groundwater overexploitation and soil subsidence monitoring on Recife plain (Brazil)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1363-1376, April.
    2. Rejane Maria Rodrigues Luna & Silvio Jacks Garnés & Jaime Joaquim Cabral & Sylvana Melo Santos, 2021. "Suitability of GNSS for analysis of soil subsidence in Recife in a highly urbanized coastal area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 1821-1837, April.
    3. Majid Mohammady & Hamid Reza Pourghasemi & Mojtaba Amiri, 2019. "Assessment of land subsidence susceptibility in Semnan plain (Iran): a comparison of support vector machine and weights of evidence data mining algorithms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 951-971, November.
    4. Daniela Ducci & Mariangela Sellerino, 2015. "Groundwater Mass Balance in Urbanized Areas Estimated by a Groundwater Flow Model Based on a 3D Hydrostratigraphical Model: the Case Study of the Eastern Plain of Naples (Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4319-4333, September.

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