Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran)

By Bagher Shirmohammadi, Hamidreza Moradi, Vahid Moosavi, M. Semiromi, A. Zeinali. Natural Hazards, 2013

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Meteorological drought prediction using heuristic approaches based on effective drought index: a case study in Uttarakhand (2020, methodology): “…have been conducted on drought prediction using numerous heuristic approaches (Morid et al. 2007; Bacanli et al. 2009; Belayneh and Adamowski 2012; Rezaeian-Zadeh and Tabari 2012; Shirmohammadi et al. 2013; Danandeh Mehr et al. 2014; Nguyen et al. 2017; Soh et al. 2018; Rafiei-Sardooi et al. 2018).”
Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression (2021, methodology): “Moreover, GWL predictions have been used to avoid the side effects of groundwater level decline including the loss of water pumping capacity from wells and ground subsidence (Moosavi et al., 2013; Shirmohammadi et al., 2013a).”
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review (2014, background): “Another study which modeled drought was conducted by Shirmohammadi et al. (2013).”