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Improving the visua...
Improving the visualization of rainfall trends using various innovative trend methodologies with time–frequency-based methods
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- Zerouali, Bilel (författare)
- Vegetal Chemistry-Water-Energy Laboratory, Department of Hydraulic, Faculty of Civil Engineering and Architecture, University of Chlef, Hassiba Benbouali, B.P. 78C, 02180, Ouled Fares, Chlef, Algeria
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- Elbeltagi, Ahmed (författare)
- Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt
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- Al-Ansari, Nadhir, 1947- (författare)
- Luleå tekniska universitet,Geoteknologi
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visa fler...
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- Abda, Zaki (författare)
- Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Faculty of Civil Engineering and Architecture, Amar Telidji University, P.O. Box 37.G, 03000, Laghouat, Algeria
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- Chettih, Mohamed (författare)
- Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Faculty of Civil Engineering and Architecture, Amar Telidji University, P.O. Box 37.G, 03000, Laghouat, Algeria
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- Santos, Celso Augusto Guimarães (författare)
- Department of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa, Paraíba, 58051-900, Brazil
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- Boukhari, Sofiane (författare)
- Department of Civil Engineering, Mohamed Cherif Messaadia University of Souk-Ahras, Souk-Ahras, Algeria
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- Araibia, Ahmed Salah (författare)
- Department of Civil Engineering, Mohamed Cherif Messaadia University of Souk-Ahras, Souk-Ahras, Algeria
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visa färre...
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Vegetal Chemistry-Water-Energy Laboratory, Department of Hydraulic, Faculty of Civil Engineering and Architecture, University of Chlef, Hassiba Benbouali, BP. 78C, 02180, Ouled Fares, Chlef, Algeria Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt (creator_code:org_t)
- 2022-08-02
- 2022
- Engelska.
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Ingår i: Applied water science. - : Springer Nature. - 2190-5487 .- 2190-5495. ; 12:9
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this paper, the Innovative Trend Methodology (ITM) and their inspired approaches, i.e., Double (D-ITM) and Triple (T-ITM), were combined with Hilbert Huang transform (HHT) time frequency-based method. The new hybrid methods (i.e., ITM-HHT, D-ITM-HHT, and T-ITM-HHT) were proposed and compared to the DWT-based methods in order to recommend the best method. Three total annual rainfall time series from 1920 to 2011 were selected from three hydrological basins in Northern Algeria. The new combined models (ITM-HHT, D-ITM-HHT, and T-ITM-HHT) revealed that the 1950â1975 period has significant wet episodes followed by a long-term drought observed in the western region of Northern Algeria, while Northeastern Algeria presented a wet period since 2001. The proposed approaches successfully detected, in a visible manner, hidden trends presented in the signals, which proves that the removal of some modes of variability from the original rainfall signals can increase the accuracy of the used approaches. © 2022, The Author(s).
Ämnesord
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)
Nyckelord
- Innovative trend methodology
- Hybrid methods
- Hilbert Huang transform
- Wet
- Dry
- Algeria
- Soil Mechanics
- Geoteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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