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Spatiotemporal estimation of land subsidence and ground water level decline in West Thessaly basin, Greece

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  • K. Modis
  • D. Sideri

Abstract

Groundwater overexploitation in the Western Thessaly basin resulted to the generation of ground deformations. In order to investigate the mechanism of this phenomenon and of its future occurrences, data regarding the temporal variation of ground deformations and water level were examined and analyzed. They were collected from satellite Persistent Scatterer Interferometry measurements and several water wells, respectively. Based on the above data, the spatiotemporal correlation and cross-correlation of deformations and water level were considered. The modeled cross-variogram indicates a spatiotemporal correlation between the two variables, as would be theoretically expected. This correlation permits the application of cokriging to the deformations with water level as an auxiliary variable. Numerical results are more accurate compared with kriging, as indicated by the decreased estimation errors. The above statistical-based model approach will be useful for spatial interpolation at local and basin scale, while, for temporal estimations, medium-term predictions can be made. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • K. Modis & D. Sideri, 2015. "Spatiotemporal estimation of land subsidence and ground water level decline in West Thessaly basin, Greece," 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. 76(2), pages 939-954, March.
    • Handle: RePEc:spr:nathaz:v:76:y:2015:i:2:p:939-954
    DOI: 10.1007/s11069-014-1528-2
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    Cited by:

    1. Panagiotis Argyrakis & Athanassios Ganas & Sotirios Valkaniotis & Vasilios Tsioumas & Nikolaos Sagias & Basil Psiloglou, 2020. "Anthropogenically induced subsidence in Thessaly, central Greece: new evidence from GNSS data," 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. 102(1), pages 179-200, May.
    2. Yongkai An & Wenxi Lu & Weiguo Cheng, 2015. "Surrogate Model Application to the Identification of Optimal Groundwater Exploitation Scheme Based on Regression Kriging Method—A Case Study of Western Jilin Province," IJERPH, MDPI, vol. 12(8), pages 1-22, July.

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