HIGHLIGHTS
- who: Water Supply Vol et al. from the Department of Civil Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran have published the research work: Wavelet-based de-noising in groundwater quality and quantity prediction by an arti fi cial neural network, in the Journal: (JOURNAL)
- how: In the second stage of this methodology first GL pH and HCO3 time series of different piezometers were de-noised using a threshold-based wavelet method and the impact of de-noised and noisy data were compared in temporal GL pH and HCO 3 modeling by the artificial neural . . .
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