First results of the wavelet-analysis of karst water levels from the Bükk Mnts.

Abstract

During our research, we used long-term data measured by the Bükki Karst Water Level Monitoring System to subject them to a periodicity test based on statistical methods. The goal was to search for cyclic components in the data of karst water levels, water temperature and conductivity measurements, using the methodology of wavelet analysis to supplement traditional deterministic procedures. Based on the calculations, it was possible to detect several periods in the data series, we also detected several properties that are only characteristic of hot or cold karst wells. Cycles with a period of 1 year, 3 years, or even longer were detected at several measurement sites, and with the help of the method, we were also able to determine which cycles appeared in the time series, and whether there was a period when it was not detectable in the data series. During the wavelet coherence tests, we determined to what extent these cycles move together in the data series of the measuring points of the Bükk Mountains, and whether there is a case where one measuring point "leads" the other time series.