In environmental and hydrological studies, issue of variability of precipitation is of great importance, particularly for the regions located in arid and semi-arid environments such as Iran. Hence, the present study proposed a model using Ensemble Empirical Mode Decomposition (EEMD)-based multiscale entropy (EME) approach to measure and evaluate the monthly precipitation variability and spatially categorize the rain gauges in Iran. To achieve this goal, recorded time series of monthly precipitation with length of 612 months (1960-2010) from thirty-one rain gauges used to verify the proposed model.
Received his B.Sc. and M.Sc. and PhD. degrees in Civil Engineering from university of Tabriz, Iran in 2012, 2014 and 2018 respectively. Dr. Alizadeh is a member and researcher of Iranian elite foundation since 2016. His research interests hydrological and water resources studies. His researches outcomes have been published as 17 Journal articles.
Amir Hossain Mohammadi
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LAP LAMBERT Academic Publishing
precipitation, variability, EEMD
SCIENCE / Earth Sciences