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Alireza Shokoohi

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Alireza Shokoohi
BornIran
🎓 Alma materUniversity of Tehran
University of Oklahoma
💼 Occupation
Known forData-flow analysis
Spatial analysis

Alireza Shokoohi is an Iranian hydrologist,[1] Professor at Imam Khomeini International University[2] and guest researcher at the University of Oklahoma.[3] He is best known for his innovative methods in analysis of fluids, water resource management,[4] and investigation of climate change which mostly deals with using mathematical methods in analysis of flood alarm system.[5][6]

Education

He received a Master of Science degree in September 1988 and a PhD in February 2001 from University of Tehran. The title of his thesis was Developing a Hydraulic based Rainfall Runoff mathematical model in GIS environment for using in flood warning system.[7]

Career

His career is mostly concentrated on his researches and scientific works in both Iran and United States.[8] In 2010 Shokoohi could correct Meso-Scale hydrological Model in NOAA as the guest researcher of University of Oklahoma.[9][10]

References

  1. Shokoohi, Alireza (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)". Hydrological Processes. 25 (22): 3490–3498. Bibcode:2011HyPr...25.3490S. doi:10.1002/hyp.8076. Unknown parameter |s2cid= ignored (help)
  2. "IKIU page". Archived from the original on 2012-08-16. Retrieved 2025-01-09.
  3. HyDROS, University of Oklahoma[permanent dead link]
  4. Assessment of Urban Basins Flood Control Measures
  5. Drought spatial analysis
  6. Time area method
  7. "Formal CV" (PDF). Archived from the original (PDF) on 2012-08-13. Retrieved 2013-02-08. Unknown parameter |url-status= ignored (help)
  8. Minimum water requirement of perennial river[permanent dead link]
  9. Ministry of Science, Research and Technology of Iran reports Persian
  10. Dananews reports innovation of Shokouhi Archived 2025-10-13 at the Wayback Machine Persian


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