Follow
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
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
172021
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
172021
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
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
112023
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
Onlyfor reading Do notdowload
MH Golmohammadi, HR Safavi, S Sandoval-Solis, M Fooladi
The system can't perform the operation now. Try again later.
Articles 1–11