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Prof. Dr. Hasan YILMAZZiraat Fakültesi
Clean water and sanitationEnsure access to water and sanitation for all and sustainable water management
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Multitemporal meteorological drought forecasting using Bat-ELM

Hasan YILMAZ

The advancement of the machine learning (ML) models has demonstrated notable progress in geosciences. They can identify the underlying process or causality of natural hazards. This article introduces the development and verification procedures of a new hybrid ML model, namely Bat-ELM for predictive drought modelling. The multi-temporal standardized precipitation evapotranspiration index (SPEI-3 and SPEI-6) is computed as the meteorological drought index at two study regions (Beypazari and Nallihan), located in Ankara province, Turkey. The proposed hybrid model is obtained by integrating the Ba ...More

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