Wavelet-based de-noising approach for trend analysis and coherency relation in hydrological time series (case study: Ardabil plain)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Renewable Energy, Sustainability and the Environment
Link
https://link.springer.com/content/pdf/10.1007/s40899-023-00920-4.pdf
Reference28 articles.
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3. Cheng Q, Zuo X, Zhong F, Gao L, Xiao S (2019) Runoff variation characteristics, association with large-scale circulation and dominant causes in the Heihe River Basin, Northwest China. Sci Total Environ 688:361–379
4. DaneshvarVousoughi F (2022) The trend of groundwater level using threshold-based wavelet de-noising approach. Water Resour 49(4):711–720
5. Datta P, Das S (2019) Analysis of long-term precipitation changes in West Bengal, India: an approach to detect monotonic trends influenced by autocorrelations. Dyn Atmos Oceans 4:101118
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