Development of a Long-Range Hydrological Drought Prediction Framework Using Deep Learning
Author:
Funder
Ministry of Earth Science (MoES), Government of India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11269-024-03735-w.pdf
Reference37 articles.
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3. Anshuka A, van Ogtrop FF, Willem Vervoort R (2019) Drought forecasting through statistical models using standardised precipitation index: a systematic review and meta-regression analysis. Nat Hazards 97:955–977. https://doi.org/10.1007/s11069-019-03665-6
4. ASCE Task Committee (2000) Artificial neural networks in hydrology. I: Preliminary concepts. J Hydrol Eng 5:115–123
5. Asokan SM, Dutta D (2008) Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions. Hydrol Process 22:3589–3603. https://doi.org/10.1002/hyp
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