An Approach for Future Droughts in Northwest Türkiye: SPI and LSTM Methods
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- Duong Tran Anh & Dat Vi Thanh & Hoang Minh Le & Bang Tran Sy & Ahad Hasan Tanim & Quoc Bao Pham & Thanh Duc Dang & Son T. Mai & Nguyen Mai Dang, 2023. "Effect of Gradient Descent Optimizers and Dropout Technique on Deep Learning LSTM Performance in Rainfall-runoff Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 639-657, January.
- Tugrul Varol & Ayhan Atesoglu & Halil Baris Ozel & Mehmet Cetin, 2023. "Copula-based multivariate standardized drought index (MSDI) and length, severity, and frequency of hydrological drought in the Upper Sakarya Basin, Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3669-3683, April.
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Keywords
future drought analysis; long short-term memory (LSTM); Sakarya Basin; standardized precipitation index (SPI);All these keywords.
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