ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye

Finding solutions for long-term drought parameter index estimation (DPIE) is very crucial since there is a rising trend of drought which has a huge impact on water supplies, various ecosystems, public health, agriculture, and the tourism industry. Therefore, researchers developed a variety of indice...

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Veröffentlicht in:	Natural hazards (Dordrecht) 2024, Vol.120 (2), p.989-1021
Hauptverfasser:	Çoban, Önder, Eşit, Musa, Yalçın, Sercan
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural ecosystems Agriculture Algorithms Atmospheric models Civil Engineering Deep learning Drought Drought index Drought monitoring Earth and Environmental Science Earth Sciences Environmental Management Geographical distribution Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Industrial development Learning algorithms Machine learning Mathematical models Natural Hazards Original Paper Parameter estimation Public health Regression Regression analysis Tourism Water supply Weather forecasting
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