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The Trend of Groundwater Level Using Threshold-Based Wavelet De-Noising Approach

  • WATER RESOURCES AND THE REGIME OF WATER BODIES
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Abstract

The aims of this study was to identify the groundwater level (GWL) trend and dominant periodic component of Ardabil plain (North-west of Iran) using three variations of the Mann–Kendall (MK) procedures: (i) MK without autocorrelation (MK1), (ii) MK with lag-1 autocorrelation and trend-free pre-whitening (MK2) and (iii) MK with long term persistence (LTP) (MK3). A Self-Organizing-Map (SOM) clustering technique was performed for classification of 15 piezometers during the period 1993–2018 spatially into homogeneous clusters. The GWL time series of central piezometers as representative were de-noised using wavelet method. Also, the MK1 test was applied to different combinations of discrete wavelet transform (DWT) to calculate dominant components in trend of the GWL time. The results of all MK tests showed that negative trend at central piezometers of the plain; using wavelet based de-noising approach decrease the Z-value of the MK1 and MK2 tests and enhance the Z-value of the MK3 test in comparison to original GWL time series. Appling de-noising technique in MK3 shows least intensity negative trend among all central piezometers. Also, detail time series based on wavelet at level 3 plus the time series of approximations (A + d3) was assigned as the main periodic component in them trend.

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Authors and Affiliations

  1. Department of Civil Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Farnaz Daneshvar Vousoughi

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  1. Farnaz Daneshvar Vousoughi
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Correspondence to Farnaz Daneshvar Vousoughi.

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Vousoughi, F. The Trend of Groundwater Level Using Threshold-Based Wavelet De-Noising Approach. Water Resour 49, 711–720 (2022). https://doi.org/10.1134/S0097807822040200

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  • DOI: https://doi.org/10.1134/S0097807822040200

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