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Hassan Esmaeili Gisavandani
Hassan Esmaeili Gisavandani
Faculty of Water & Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Verified email at mscstu.scu.ac.ir
Title
Cited by
Cited by
Year
Drought monitoring and prediction using SPI, SPEI, and random forest model in various climates of Iran
M Lotfirad, H Esmaeili-Gisavandani, A Adib
Journal of Water and Climate Change 13 (2), 383-406, 2022
582022
Improving the performance of rainfall-runoff models using the gene expression programming approach
H Esmaeili-Gisavandani, M Lotfirad, MSD Sofla, A Ashrafzadeh
Journal of Water and Climate Change 12 (7), 3308-3329, 2021
262021
Ranking of hybrid wavelet-AI models by TOPSIS method for estimation of daily flow discharge
H Farajpanah, M Lotfirad, A Adib, H Esmaeili-Gisavandani, Ö Kisi, ...
Water Supply 20 (8), 3156-3171, 2020
242020
Climate change impacts on the shrinkage of Lake Urmia
F Radmanesh, H Esmaeili-Gisavandani, M Lotfirad
Journal of Water and Climate Change 13 (6), 2255-2277, 2022
142022
Evaluating ability of three types of discrete wavelet transforms for improving performance of different ML models in estimation of daily-suspended sediment load
H Esmaeili-Gisavandani, H Farajpanah, A Adib, O Kisi, MM Riyahi, ...
Arabian Journal of Geosciences 15, 1-13, 2022
132022
Evaluation of climate change effects on flood frequency in arid and semi-arid basins
Y Shokouhifar, M Lotfirad, H Esmaeili-Gisavandani, A Adib
Water Supply 22 (8), 6740-6755, 2022
102022
Evaluation of the Ability of Adaptive Neuro-Fuzzy Interface System, Artificial neural network and Regression to Regional flood analysis.
H Esmaeili Gisavandani, AM Akhond Ali, H Zareie, M Taghian
Journal of Water and Soil Conservation 24 (3), 149-166, 2017
62017
Regional flood frequency analysis using data-driven models (M5, random forest, and ANFIS) and a multivariate regression method in ungauged catchments
H Esmaeili-Gisavandani, H Zarei, MR Fadaei Tehrani
Applied Water Science 13 (6), 139, 2023
32023
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