Prediction of Hydrological Drought in Semi-arid Regions Using a Novel Hybrid Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03520-1.pdf
Reference26 articles.
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2. Başakın EE, Ekmekcioğlu Ö, Özger M (2021) Drought prediction using hybrid soft-computing methods for semi-arid region. Model Earth Syst Environ 7:2363–2371. https://doi.org/10.1007/s40808-020-01010-6
3. Belayneh A, Adamowski J, Khalil B (2016) Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods. Sustain Water Resour Manage 2:87–101. https://doi.org/10.1007/s40899-015-0040-5
4. Borji M et al (2016) Multi-time-scale analysis of hydrological drought forecasting using support vector regression (SVR) and artificial neural networks (ANN). Arab J Geosci 9:725. https://doi.org/10.1007/s12517-016-2750-x
5. Cover TM, Hart, Peter E (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory 13(1):21–27. https://doi.org/10.1109/TIT.1967.1053964
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