Abstract
One of the main modes of monitoring the geotechnical conditions of earth dams is piezometric measurement, which measures water levels in an open piezometer or water pressure in a closed piezometer. During piezometric measurements, various types of factors can cause disturbances in these measurements that take the form of systematic, accidental, or obvious mistakes. Before measurements from open or closed piezometers are analyzed, outliers due to coarse errors should be detected and rejected. Such observations may significantly influence the result of the analysis and cause erroneous assessment and interpretation of the phenomenon studied. To do this, statistical tests must be applied so that the doubtful measurement can be accepted or rejected at the assumed significance level. This paper uses five statistical tests for identifying and rejecting outliers: the Q-Dixon test, the Grubbs test, as well as the Hampel test, the Iglewicz and Hoaglin test, and the Rosner test. The aim of this article is to try to identify the most suitable test for periodic piezometric measurements. The scope of the study includes the analysis of piezometric measurements for the Czaniec Dam for the multi-year period 2017–2020.
Highlights
The construction of dams and the existence of the reservoirs they create are an essential part of society
The aim of this paper is to propose the most suitable test for determining outlier observations for periodic piezometric measurements
All the statistical tests used in this research are used to identify outlier observations in measurement data sets
Summary
The construction of dams and the existence of the reservoirs they create are an essential part of society Reservoirs make it possible to store water when it is in excess and to use it when it is scarce. The vulnerability of hydroelectric dams to damage or disaster increases with the time of operation This concerns about 30% of the Polish damming facilities that have been operating for more than 50 years. Such a long period of operation, according to the assessment of the International Commission on Large Dams (ICOLD), results in a higher number of damage events and an increased probability of failure [1]
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