Asghar Aziziyanghatar

Associate Professor

Update: 2026-02-18

Asghar Aziziyanghatar (Faculty Member)

Agriculture & Natural Resourses /

Master Theses

  1. Determining the flood evacuation routes for different human categories based on human instability in flood event
    Amir hossein Sotodeh 2024
  2. Determining the accuracy of precipitation forecasting models for use in flood warning systems
    Fariba Imani 2022
  3. Evaluating the effects of reducing the flow of upstream rivers to environmental flow level on the wetland water balance
    Hossein Monjezi 2021
  4. Evalution Performance of Reanalysis Precipitation data in different Climates of Iran for Runoff Simulation
    Malihe Bayram 2021
  5. Determining Flood Prone and Inundation Areas using a Geomorphological based Model HAND
    Amir hossein Akhavan 2021
  6. Determining the Best Temporal Resolution of Rainfall Forecasting System in Different Climate Regions of Iran
    Setareh Amini 2020
  7. Introduction Topographic Indicators and Their Application in Delineation Flood-Prone Area based on DEM
    Mahdi Alizade 2020
  8. Usability of Gridded Weather Datasets in Drought Studies and Simulation of Field Crop Growth
    Rezvan Bahralolum 2020
  9. Calibration of hydrological Models Using Satellite-Based Evapotranspiration and Soil Moisture
    Sakine Koohi 2020
  10. Evaluation of the Satellite-Based Precipitation Products with High Spatiotemporal for Flood Simulation and Flood Forecasting
    Haleh Alamshahi 2019
  11. Forecasting the occurrence of Hydrological drought via Meteorological Drought Using a Water Balance Model
    Mahdiye Mohsenitabar 2019
  12. Using sensitivity analysis for Reducing calibration parameters of crop models
    Vahid Adabi ardakani 2019
  13. Rainfall Estimation Using remote sensing based Soil Moisture Products in semi-arid and humid Regions
    Maryam Taromi 2019
  14. Development of Reference Evapotranspiration Equations base on climate
    FATEME SAFARI 2019

  15. Sara Roodaki 2018

  16. Afshin Shayeghi 2018
  17. Estimation the parameters of semi distributed model (TOPMODEL) by using Curve Number method (SCS)
    Mahsa Farsi 2018