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Determination of the Occurrence of Negative Impacts during Lowering of Sinking Wells Using the Fuzzy TOPSIS Method

Author

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  • Ryszard Dachowski

    (Civil Engineering and Architecture Department, Kielce University of Technology, al. 1000-lecia PP 7, 25-314 Kielce, Poland)

  • Katarzyna Gałek-Bracha

    (Civil Engineering and Architecture Department, Kielce University of Technology, al. 1000-lecia PP 7, 25-314 Kielce, Poland)

Abstract

Sinking wells belong to underground facilities. Large-diameter sinking wells are often constructed as retention basins and reservoirs for wastewater treatment plants, which is determined by the Urban Wastewater Treatment Directive. The directive obliges Member States to implement the principles of sustainable development, promoting sustainable sewage collection and treatment systems. When designing and constructing facilities using sinking well technology, contact between the structure and the ground must be considered. During the lowering of a sinking well into the ground medium, a number of negative impacts may occur and affect the sinking process, including excessive ground settlement outside the well, damage or destruction of adjacent objects, tilt of the well casing from the vertical, and uncontrolled sinking of the well casing. The aim of this paper is to determine the occurrence of negative impacts during the lowering of sinking wells. Determining the incidence of negative impacts could help to avoid pre-failure and emergency situations relating to sinking wells. A fuzzy TOPSIS method was used to determine the above.

Suggested Citation

  • Ryszard Dachowski & Katarzyna Gałek-Bracha, 2024. "Determination of the Occurrence of Negative Impacts during Lowering of Sinking Wells Using the Fuzzy TOPSIS Method," Sustainability, MDPI, vol. 16(2), pages 1-12, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:899-:d:1323205
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Eduardo Cejuela & Vicente Negro & Jose María Del Campo & Mario Martín-Antón & M. Dolores Esteban & Jose Santos López-Gutiérrez, 2018. "Recent History, Types, and Future of Modern Caisson Technology: The Way to More Sustainable Practices," Sustainability, MDPI, vol. 10(11), pages 1-30, October.
    3. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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