Professor Dr. Saeid Eslamian

saeid@iut.ac.ir
pr.eslamian@gmail.com
Office
Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, 8415683111, Isfahan, Iran
Phone
+98 313 3913432
Fax
+98 313 3912254
Positions
- Distinguished Full Professor of Resilient Climate and Water Systems
- World Total-Career/Extraordinary Professor
- Director, Excellence Center of Risk analysis and Natural Resources
Research Interests
- Applied Statistical and Hydrological Modeling
- Integrated, Sustainable and Resilient Water Resources Management
- Water Reuse and Constructed Wetland
- Risk Management and Natural Hazards
- Hydroinformatics, Machine Learning and Soft-Computing
- Innovative Water Harvesting Techniques
- Hydrometeorology and Hydroclimatology
- Extreme Events: Floods, Droughts and Winds
- Climate Changes and Heat Waves
- Regionalization, Geostatistics and Spatial Analysis
type: Journal
Title DOI type
Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods 10.2166/wrd.2024.070 Journal
Developing the Regional Nonstationary IDF Curves Using NGN-ProNEVA Framework 10.1007/s11269-023-03619-5 Journal
Evaluation and optimization of hydrometric locations using entropy theory and Bat algorithm (case study: Karkheh Basin, Iran) 10.1007/s13201-023-01992-5 Journal
Spatio-Temporal Variations of Reference Evapotranspiration in Western Iran 10.22146/ijg.81306 Journal
Comparative analysis of DRASTIC and GOD model for groundwater vulnerability assessment # Journal
Simulation of nitrate pollution and vulnerability of groundwater resources using MODFLOW and DRASTIC models 10.1038/s41598-023-35496-8 Journal
Simulation of the effects of climate change, crop pattern change, and developing irrigation systems on the groundwater resources by SWAT, WEAP and MODFLOW models: a case study of Fars province, Iran 10.1007/s10668-023-03157-5 Journal
Vetiver Grass (Chrysopogon zizanoides L.): A Hyper-Accumulator Crop for Bioremediation of Unconventional Water # Journal
Regionalization of rainfall intensity- duration- frequency (IDF) curves with L-moments method using neural gas networks # Journal
Investigation of the effect of water treatment plant effluent on river quality: a case study 10.1504/IJEWM.2023.10056374 Journal