Water Resources Reservoir

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Ramin Bahmani

Phone: +1-418-***-****

Email: *****.*******@****.**

Education

M.Sc. Water Science

Institut National de la Recherche Scientifique, Centre Eau Terre Environnement, Québec, Canada

M.Sc. Water Resources Engineering

Shahid Chamran University of Ahwaz (SCU) Ahwaz,Iran B.Sc. Water Engineering

Isfahan University of Technology (IUT), Isfahan, Iran Work experience

Junior Engineer, Designing irrigation systems (2014-2015). Language Skills

English (Fluent) French (Intermediate)

Core skills

Technical and scientific writing Analytical Skills

Simulation knowledge Machine Learning:

ANN, ANFIS, M5. SVM, SVR, Wavelet,

EMD, GEP, GP

Research and Development

Computer and programming skills

HEC-HMS (Advanced) HEC-GeoHMS (Advanced) GeneXproTools (Advanced) Weka (Advanced) Arc GIS (Intermediate) Matlab (Intermediate) Minitab (Intermediate) SPSS (Intermediate) Surfer (Basic) R (Basic) SGeMS (Basic) HEC-RAS (Basic)

Publications

Book chapters

Eslamian S, Dalezios NR, Singh VP, Adamowaski J, Mohammadifard S, Bahmani R, et al. (2017). Drought Management: Current Challenges and Future Outlook, Ch. 34 in Handbook of Drought and Water Scarcity, Vol. 3: Management of Drought and Water Scarcity. Publisher: Taylor and Francis, CRC Press, USA.

Papers

1) Bahmani R, and Ouarda TBMJ. (2021). “groundwater level modeling with hybrid artificial intelligence techniques”. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.125659 2

2) Bahmani R, Solgi A and Ouarda TBMJ. (2020). “Groundwater Level Simulation Using Gene Expression Programming and M5 Model Tree Combined with Wavelet Transform”. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2020.1749762 3) Solgi A, Pourhaghi A, Bahmani R and Zarei H. (2017). “Pre-Processing Data Using Wavelet Transform and PCA Based on Support Vector Regression and Gene Expression Programming for River Flow Simulation”. Journal of Earth System Science. 126:65. https://doi.org/10.1007/s12040- 017-0850-y

4) Solgi A, Pourhaghi A, Bahmani R and Zarei H. (2017). “Improving the Performance of SVR and ANFIS Models using Wavelet Transform and PCA Algoritm for modeling and predicting Biochemical Oxygen Demand (BOD)”. Ecohydrology & Hydrobiology. 17:164-175. doi: https://doi.org/10.1016/j.ecohyd.2017.02.002

5) Solgi A, Zarei H, Nourani V, and Bahmani R. (2017). “A New Approach to Flow Simulation Using hybrid models”. Applied Water Science. 1-16. https://doi.org/10.1007/s13201-016-0515-z 6) Bahmani R and Khorsandi M. (2015). “A discussion on “Extreme streamflow drought in Karkheh River Basin (Iran): probabilistic and regional analyses” by Reza Zamani et al”. Natural Hazards. https://doi.org/10.1007/s11069-015-1830-7

7) Bahmani R, Radmanesh F, Eslamian S, Khorsandi M and Zamani R. (2013). “Proper Rainfall for Peak Flow Estimation by Integration of L-Moment Method and a hydrologic Model”. International Research Journal of Applied and Basic Sciences. 4(10): 2959-2967. 8) Bahmani R, Radmanesh F, Eslamian S and Parham G. (2013). “Reservoir Evaporation Trend Analysis and its Prediction using Time Series”. Irrigation Sciences and Engineering (Scientific Journal of Agriculture), Vol. 36 (3): 67-80. (In Persian)

9) Bahmani R, Eslamian S, Khorsandi M and Zia Hosseinipour E. (2013). “Combination of L-Moments Method and Hydrological Model for Design Flood Hydrograph Determination”. World Environmental and Water Resources Congress. Cincinnati, Ohio, USA. https://doi.org/10.1061/9780784412947.320 Research Experience

1) The Application of L-Moments Theory for Frequency Analysis of Rainfall and Flood in order to Estimate Peak Discharge

2) Groundwater Levels Simulation Using Hybrid Models Produced by Wavelet Transformation and Empirical Mode Decomposition

References

1) Taha B.M.J. Ouarda, ****.******@***.****.**

2) André St-Hilaire, *****.**-*******@****.**

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