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Citakoglu et al., 2022 - Google Patents

Comparison of hybrid machine learning methods for the prediction of short-term meteorological droughts of Sakarya Meteorological Station in Turkey

Citakoglu et al., 2022

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Document ID
2941750317098390205
Author
Citakoglu H
CoĹźkun Ă
Publication year
Publication venue
Environmental Science and Pollution Research

External Links

Snippet

Drought is a harmful natural disaster with various negative effects on many aspects of life. In this research, short-term meteorological droughts were predicted with hybrid machine learning models using monthly precipitation data (1960–2020 period) of Sakarya …
Continue reading at www.researchgate.net (PDF) (other versions)

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