سامانه پژوهشی دانشگاه جیرفت | عليرضا نفرزادگان

نام و نام خانوادگی	علیرضا نفرزادگان
شغل	عضو هیئت علمی سایر دانشگاههای داخل کشور / استادیار
تحصیلات	—
وبسایت	—
پست الکترونیک	—

	عنوان	مجله
1	Machine Learning approaches for identifying factors influencing dust sensitivity in the Gavkhouni Basin, Central Iran	International Journal of Environmental Science and Technology https://doi.org/10.1007/s13762-024-06183-6 (2024) 1-20
2	Modeling PM2.5 and SO2 levels and identifyingfactors impacting them in Kerman city,southeastern Iran	Modeling Earth Systems and Environment https://doi.org/10.1007/s40808-024-02103-2 (2024) https://doi.org/10.1
3	Determining Effective Factors Regarding Weather and Some Types of Air Pollutants in Seasonal Changes of PM10 Concentration Using Tree-Based Algorithms in Yazd City	Journal of Environmental Health and Sustainable Development 9(1) (2024) 2180-94
4	Influential environmental drivers on air pollution in dust‑sensitive regions of Iran	Arabian Journal of Geosciences 15:1388 (2022) 1-14
5	Monitoring the water surface of wetlands in Iran and their relationship with air pollution in nearby cities	ENVIRONMENTAL MONITORING AND ASSESSMENT 194 (7) (2022) 1-20
6	Predicting the dust events frequency around a degraded ecosystem and determining the contribution of their controlling factors using gradient boosting‑based approaches and game theory	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH https://doi.org/10.1007/s11356-021-17265-0 (2022) 1-19
7	Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms	APPLIED GEOGRAPHY 133:102495 (2021) 1-13
8	Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers	ENVIRONMENTAL MONITORING AND ASSESSMENT 193 (2021) 1-21
9	Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques	Atmospheric pollution research https://doi.org/10.1016/j.apr.2021.101064 (2021) 1-15
10	Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques	ECOLOGICAL INDICATORS 107 (107499) (2021) 1-15
11	Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH https://doi.org/10.1007/s11356-020-10957-z (2020) 1-15

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