Dr. Alireza Shokoohi

Professor
Department of Water Engineering, Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran


Highest Degree
Ph.D. in Water Resources from University of Tehran, Iran

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Biography

Dr. Alireza Shokoohi is a tenured Professor at the Department of Water Engineering, Faculty of Agriculture and Natural Science, Imam Khomeini International University, Iran. He received his BSc. degree in Irrigation and reclamation engineering in 1986 at Tehran University. Then, he started researching as a graduate student and received his MSc. degree in hydraulic structures in 1989 at Tehran University. After 7 years working as a lecturer at Shahroud Industrial University and as a project manager in some consulting engineering companies, he continued his graduate studies and completed his PhD. training in 2001 in water resources engineering at Tehran University. Then, he moved to Qazvin International University and started teaching as an assistant professor. He was promoted to Associate Professor Grade in 2008, and in 2015, because of his impressive accomplishment, was promoted to Full Professor grade and now is conducting many courses and thesis in hydraulics and hydrology. His special favorite is rainfall-runoff modeling in GIS environment, Flood and drought risk and crisis management, Environmental engineering, and integrated river basin management. He has managed at least 20 nationwide river engineering projects. He has published 7 books in environmental engineering, risk and uncertainty, hydrology, hydraulics, irrigation, and drainage engineering and also has published more than 150 papers in valid peer-reviewed journals/conferences in water engineering-related areas.

Area of Interest:

Engineering
Water Engineering
Water Resources
Irrigation
Hydraulic Structures

Selected Publications

  1. Pazhouh, N.H., K. Ahmadaali and A.R. Shokoohi, 2019. [Assessment of standardized precipitation and standardized precipitation-evapotranspiration indices for wet period detection]. J. Soil Water Conserv., Vol. 25, No. 6. .
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  2. Movahed, E., H. Ramezani and A. Hokoohi, 2019. Using of virtual water footprint concept in livestock productions for water resources conservation. J. Soil Water Resour. Conserv., 8: 133-143.

  3. Mousavi, S. and A. Shokoohi, 2019. Effects of kernel functions on SPEI and drought characteristics. Iran Water Resour. Res., 15: 162-175.
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  4. Modaberi, H. and A. Shokoohi, 2019. Determining anzali wetland environmental water requirement using eco-hydrologic methods. Iran. J. Water Resour. Res., Vol. 15, No. 3. .
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  5. Azizian, A. and A. Shokoohi, 2019. Development of a new method for estimating SCS curve number using TOPMODEL concept of wetness index (Case study: Kasilian and Jong watersheds, Iran). Acta Geophys., 67: 1163-1177.
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  6. Amirmoradi, K. A. Shokooh and A. Azizian, 2019. Evaluating risk of economic loss due to river flood in urban areas (Study area: Kan Watershed). Iran. J. Soil Water Res. (Tehran Univ.), 10.22059/ijswr.2019.283115.668228.
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  7. Shokoohi, A., Z. Ganji, J.M.V. Samani and V.P. Singh, 2018. Analysis of spatial and temporal risk of agricultural loss due to flooding in paddy farms. Paddy Water Environ., 16: 737-748.
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  8. Shokoohi, A., N. Hosseini and A. Bakhtiari, 2018. Flood forecasting via daily scale standardized precipitation index. J. Civil Environ. Eng. (Tabriz Univ.), 48: 27-35.

  9. Shokoohi, A., A. Azizian, N. Salavarzi and V.P. Singh, 2018. An investigation on the effects of DEM resolution and flow tracing algorithms on the Topo index and TOPMODEL performance (Case study: Kasilian and Karde catchments). Iran. J. Soil Water Res., 49: 751-765.

  10. Mojtabavi, S.A., A. Shokoohi, H.R. Etedali and V. Singh, 2018. Using regional virtual water trade and water footprint accounting for optimizing crop patterns to mitigate water crises in dry regions. Irrigation Drainage, 67: 295-305.
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  11. Khanmohammady, F.S. and A. Shokoohi, 2018. Using RVA model for defining river ecological regime for determining environmental flow. Iran-Water Resour. Res., 14: 224-235.
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  12. Karbasi, M., A. Shokoohi and B. Saghafian, 2018. Loss of life estimation due to flash floods in residential areas using a regional model. Water Resour. Manage., 32: 4575-4589.
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  13. Ezzati, M., L.A. Shokoohi, V.P. Singh and M. Noori, 2018. Investigating the trend of temperature and rainfall and its effects on the Taleghan Dam water resources. Iran. J. Soil Water Res. (Tehran Univ.), 49: 705-716.

  14. Azizian, A., A.R. Shokoohi and F. Zamani, 2018. Evaluating the scale effect of maps derived via remote sensing and ground surveying on the performance of HEC-HMS. Modares Civil Eng. J., 18: 157-169.

  15. Zarakani, M., A. Shokoohi and V. Singh, 2017. Introducing a holistic ecological model under data shortage for determining river ecological water requirements. Iran-Water Resour. Res., 13: 140-153.
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  16. Shokoohi, A. and A. Azizian, 2017. Sensitivity analysis of KW-GIUH rainfall runoff model with respect to infiltration methods and roughness coefficients. J. Watershed Eng. Manage., 9: 262-275.

  17. Azizian, A. and A. Shokoohi, 2017. Evaluating and sensitivity analysis of a macro scale hydrological model (VIC-3L) for simulation of stream flow at different time scales. J. Civil Environ. Eng. (Univ. Tabriz), 47: 39-52.
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  18. Shokoohi, A., E.H. Ramezani, S. Mojtabavi and V.P. Singh, 2016. Using water footprint accounting for optimizing crop patterns in sustainable development scheme (Case study: Qazvin plain). Iran-Water Resour. Res., 12: 99-113.
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  19. Nikghalb, S., A. Shokoohi, V.P. Singh and R. Yu, 2016. Ecological regime versus minimum environmental flow: Comparison of results for a river in a semi Mediterranean region. Water Resour. Manage., 30: 4969-4984.
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  20. Ganji, N.Z., A. Shokoohi and V. Singh, 2016. Evaluating the effect of discharge-probability function uncertainty on the risk of agricultural loss due to flood using Monte Carlo method. J. Iran-Water Resour. Res., 12: 13-23.
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  21. Azizian, A. and A. Shokoohi, 2016. Effect of data resolution on topographic index and performance of the simi-distributed model: TOPMODEL. Modares Civil Eng. J., 16: 187-201.
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  22. Shokoohi, A., 2015. Sensitivity analysis of hydraulic methods regarding hydromorphologic data derivation methods to determine environmental water requirements. Water Wastewater J., 26: 104-115.
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  23. Shokoohi, A. and R. Morovati, 2015. Basinwide comparison of RDI and SPI within an IWRM framework. Water Resour. Manage., 29: 2011-2026.
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  24. Sarmadi, F. and A. Shokoohi, 2015. Regionalizing precipitation in Iran using GPCC gridded data via multivariate analysis and L-moment methods. Theoret. Applied Climatol., 122: 121-128.
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  25. Morovati, R. and A. Shokoohi, 2015. Evaluation of different interpolation methods for NCEP/NCAR temperature data over the 2nd order watersheds in Iran. Irrig. Water Eng. J., 5: 17-31.
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  26. Ganji, Z. and A. Shokoohi, 2015. A mathematical model for agricultural flood loss estimation. Iran. J. Water Resour. Res., 10: 1-13.
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  27. Azizian, A., A. Shokoohi and T.E. Amiri, 2015. Dems resolution effect on SCS curve number derived through WI_CN method based on saturation excess concept. Iran. J. Soil Water Res., 46: 331-342.
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  28. Azizian, A. and A. Shokoohi, 2015. Investigation of the effects of DEM creation methods on the performance of a semidistributed model: TOPMODEL. J. Hydrol. Eng., Vol. 20. 10.1061/(ASCE)HE.1943-5584.0001204.
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  29. Azizian, A. and A. Shokoohi, 2015. Effects of data resolution and stream delineation threshold area on the results of a kinematic wave based GIUH model. Water SA, 41: 61-70.
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  30. Azizian, A. and A. Shokoohi, 2015. Development of a new method for estimation of SCS curve number based on saturation excess concept. Iran. J. Water Resour. Res., 10: 26-37.
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  31. Shokoohi, A. and R. Morovati, 2014. An investigation on the Urmia lake basin drought using RDI and ‎SPI indices. J. Watershed Eng. Manage., 6: 232-246.
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  32. Shokoohi, A. and M. Amini, 2014. Introducing a new method to determine rivers' ecological water requirement in comparison with hydrological and hydraulic methods. Int. J. Environ. Sci. Technol., 11: 747-756.
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  33. Shokoohi, A. and A. Azizian, 2014. Evaluating the effects of topographic and radar based DEMs on the simulation results of geomorphologic models. J. Watershed Eng. Manage., 6: 52-62.
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  34. Azizian, A. and A. Shokoohi, 2014. DEM resolution and stream delineation threshold effects on the results of geomorphologic-based rainfall runoff models. Turk. J. Eng. Environ. Sci., 38: 64-78.
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  35. Azizian, A. and A. Shokoohi, 2014. An investigation on the effects of DEM creation methods on performance of the TOPMODEL. Iran. J. Water Resour. Res., 10: 111-116.
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  36. Shokoohi, A. and Z. Ganji, 2013. Non-structural management of floodplains using agricultural flood loss estimation. Irrig. Water Eng. J., 3: 83-94.
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  37. Eslami, A. and A. Shokoohi, 2013. Analysis of stream flow conditions using hydrologic environmental drought index. J. Watershed Eng. Manage., 5: 125-133.
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  38. Shokoohi, A., 2012. Comparison of SPI and RDI in drought analysis in local scale with emphasizing on agricultural drought (Case study: Qazvin and Takestan). Iran. Irrigat. Water Eng., 3: 111-122.

  39. Shokoohi, A. and P. Gholami, 2012. Investigation on the effects of slope on the derivation of artificial river network using different routing algorithms. Iran. J. Hydraulics, 7: 15-32.

  40. Shokoohi, A. and B. Saghafian, 2012. A semi analytical solution for rising limb of hydrograph in 2D overland flow. Int. J. Civil Eng., 10: 43-50.
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  41. Shokoohi, A.R. and Y. Hong, 2011. Determining the minimum ecological water requirements in perennial rives using morphological parameters. J. Environ. Stud., 37: 34-36.
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  42. Shokoohi, A. and Y. Hong, 2011. Using hydrologic and hydraulically derived geometric parameters of perennial rivers to determine minimum water requirements of ecological habitats (case study: Mazandaran Sea Basin-Iran). Hydrol. Process., 25: 3490-3498.
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  43. Ganji, Z., A. Shokoohi and J. Samani, 2011. Determination of flood flow depth and velocity at the threshold of crop rapture and position of rupture point using analytical and laboratory analysis (case study: Rice). Iran. J. Hydraulics, 6: 53-68.

  44. Shokouhi, A.R. and B. Saghafian, 2008. Isochrones delineation in converging flows for using in time-area method. Iran. J. Water Resour. Res., 3: 20-29.
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  45. Shokouhi, A.R. and A.P. Daneshkar, 2008. Comparison of aquifer hydraulic conductivity estimation methods for use in simulation models. Iran. J. Tech. Eng. Res. Agric., 9: 95-112.
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  46. Shokoohi, A.R., 2008. A new approach for isochrone mapping in one dimensional flow for using in time area method. J. Applied Sci., 8: 516-521.
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  47. Shokoohi, A.R., 2007. Assessment of urban basins flood control measures using hydrogis tools. J. Applied Sci., 7: 1726-1733.
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  48. Shokouhi, A.R., 2006. Application of mathematical models and GIS in flood control project planning. J. Water Waste Water, Iran, 59: 84-89.
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  49. Saghafian, B. and A.R. Shokoohi, 2006. A corrected time-area technique for one-dimensional flow. J. Int. J. Civil Eng., 4: 34-41.
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  50. Raziei, T., A. Shokouhi and B. Saghafian, 2003. Prediction of drought severity, duration and frequency using probabilistic and time series methods (case study: Sistan and Balouchestan province). Iran. J. Desert Res., 8: 292-310.
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