Research interests
1. Application of Machine learning techniques in isotope hydro climatology
2. Application of climatological numerical models FLEXPART, HYSPLIT and LAGRANTO in the determination of main moisture sources
Projects
Studying the role of various parameters on groundwater salinity in coastal aquifers across Thailand using Machine learning techniques, Postdoc position in Mahidol University, Thailand, 22000 USD.
Publications
1.Heydarizad, M., Pumijumnong, N., Minaei, M., Mansourian, D., (2023). The deterioration of groundwater quality by seawater intrusion in the Chao Phraya River Basin, Thailand. (Accepted for publication).
2.Heydarizad, M., Pumijumnong, N., Minaei, M., Eskandari, J., Mansourian, D., (2022). A comprehensive study of the parameters affecting the stable isotopes in the precipitation of the Bangkok metropolitan area using model-based statistical approaches. Isotopes in Environmental and Health Studies. (Accepted for publication).
3.Heydarizad, M., Pumijumnong, N., Sorí, R., Salari, P., Gimeno, L., (2022). Fractional Importance of Various Moisture Sources Influencing Precipitation in Iran Using a Comparative Analysis of Analytical Hierarchy Processes and Machine Learning Techniques. Atmosphere2022, 13, 2019. https://doi.org/10.3390/atmos13122019
4.Heydarizad, M., Ghalibaf Mohammadabadi, H., (2022). 'Spatial Variation and Controlling Parameters of δ18O and δ2H Signatures in Surface Water Resources Across Iran', Journal of Irrigation Sciences and Engineering (JISE), 45(2), pp. 63-80. doi: 10.22055/jise.2022.39240.2001
5.Heydarizad, M., Gimeno, L., Amiri, S.,Minaei, M., et al., (2022). A comprehensive Overview of the Hydrochemical Characteristics of Precipitation across the Middle East. Water2022, 14, 2657. https://doi.org/10.3390/w14172657
6.Heydarizad, M., Gimeno, L., Sori, R.,Minaei, F., et al., (2021). The stable isotope characteristics of precipitation in the Middle East highlighting the link between the Köppen climate classifications and the δ18O and δ2H values of precipitation. Water2021, 13, 2397. https://doi.org/10.3390/w13172397
7.Heydarizad, M., Minaei, M., Ichiyanagi K., et al., (2021).The effects of local and regional parameters on the δ18O and δ2H values of precipitation and surface water resources in the Middle East. J Hydrol [Internet]. 2021;126485. Available from: https://www.sciencedirect.com/science/article/pii/S0022169421005321
8.Heydarizad, M., Minaei, F., Eskandari, J., et al. (2021). Spatial distribution of stable isotopes (18O and 2H) in precipitation and groundwater in Iran. Isotopes in Environmental and Health Studies.https://doi.org/10.1080/10256016.2021.1924167
9.Mohammadzadeh, H., & Heydarizad, M. (2020). A conceptual model for water resources circulation patterns in Andarokh-Kardeh region (NE, Iran). Geochemistry, 125593. https://doi.org/https://doi.org/10.1016/j.chemer.2019.125593
10.Mohammadzadeh, H., Mayvan, J. E., & Heydarizad, M. (2020). The effects of moisture sources and local parameters on the 18O and 2H contents of precipitation in the west of Iran and the east of Iraq. Tellus B: Chemical and Physical Meteorology, 72(1), 1–15. https://doi.org/10.1080/16000889.2020.1721224
11.Heydarizad, M., Raeisi, E., Sorí, R., & Gimeno, L. (2019a). An overview of the atmospheric moisture transport effect on stable isotopes (δ18O, δ 2H) and D excess contents of precipitation in Iran. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-019-02798-9
12.Heydarizad, M., Raeisi, E., Sorí, R., & Gimeno, L. (2019b). Developing Meteoric Water Lines for Iran Based on Air Masses and Moisture Sources. Water, 11, 2359.
13.Mohammadzadeh, H., & Heydarizad, M. (2019). δ18O and δ2H characteristics of moisture sources and their role in surface water recharge in the north-east of Iran. Isotopes in Environmental and Health Studies. https://doi.org/10.1080/10256016.2019.1680552