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Mahmood Fooladi
Mahmood Fooladi
M.Sc. Department of Civil Engineering, Isfahan University of Technology
Verified email at cv.iut.ac.ir - Homepage
Title
Cited by
Cited by
Year
Trend analysis of hydrological and water quality variables to detect anthropogenic effects and climate variability on a river basin scale: A case study of Iran
M Fooladi, MH Golmohammadi, HR Safavi, R Mirghafari, H Akbari
Journal of hydro-environment research 34, 11-23, 2021
172021
Application of meteorological drought for assessing watershed health using fuzzy-based reliability, resilience, and vulnerability
M Fooladi, MH Golmohammadi, HR Safavi, VP Singh
International Journal of Disaster Risk Reduction 66, 102616, 2021
162021
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
M Fooladi, MH Golmohammadi, HR Safavi, VP Singh
Journal of environmental management 297, 113283, 2021
162021
Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
M Fooladi, MH Golmohammadi, I Rahimi, HR Safavi, MR Nikoo
Expert Systems with Applications 221, 119788, 2023
102023
Improving performance criteria in the water resource systems based on fuzzy approach
MH Golmohammadi, HR Safavi, S Sandoval-Solis, M Fooladi
Water Resources Management 35, 593-611, 2021
102021
Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning
S Majnooni, MR Nikoo, B Nematollahi, M Fooladi, N Alamdari, ...
Hydrological sciences journal 68 (14), 1984-2008, 2023
22023
Assessing scaling behavior of four hydrological variables using combined fractal and statistical methods in Missouri river basin
S Mehrab Amiri, M Fooladi, V Rahmani, R Mirghafari
Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2022
22022
A fusion-based framework for daily flood forecasting in multiple-step-ahead and near-future under climate change scenarios: a case study of the Kan River, Iran
M Khajehali, HR Safavi, MR Nikoo, M Fooladi
Natural Hazards, 1-22, 2024
2024
Smarter water quality monitoring in reservoirs using interpretable deep learning models and feature importance analysis
S Majnooni, M Fooladi, MR Nikoo, G Al-Rawas, AT Haghighi, R Nazari, ...
Journal of Water Process Engineering 60, 105187, 2024
2024
Multi-model fusion-based framework for daily flood forecasting in multiple-step-ahead and near future under climate change scenarios
HR Safavi, MR Nikoo, M Fooladi
Natural Hazards, 2023
2023
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MH Golmohammadi, HR Safavi, S Sandoval-Solis, M Fooladi
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