Malekzadeh, Reza, Mehnati, Parinaz, Nadiri, ta Allah, Bagheri, Yaser, Sabri, Hadi, Meynagi Zadeh Zargar, Reza, Osuli, Mahak. (1397). Prediction of solar ultraviolet intensity by using Fuzzy Logic in the north-west of Iran. , 15(Special Issue-12th. Iranian Congress of Medical Physics), 191-191. doi: 10.22038/ijmp.2018.12809
Reza Malekzadeh; Parinaz Mehnati; ta Allah Nadiri; Yaser Bagheri; Hadi Sabri; Reza Meynagi Zadeh Zargar; Mahak Osuli. "Prediction of solar ultraviolet intensity by using Fuzzy Logic in the north-west of Iran". , 15, Special Issue-12th. Iranian Congress of Medical Physics, 1397, 191-191. doi: 10.22038/ijmp.2018.12809
Malekzadeh, Reza, Mehnati, Parinaz, Nadiri, ta Allah, Bagheri, Yaser, Sabri, Hadi, Meynagi Zadeh Zargar, Reza, Osuli, Mahak. (1397). 'Prediction of solar ultraviolet intensity by using Fuzzy Logic in the north-west of Iran', , 15(Special Issue-12th. Iranian Congress of Medical Physics), pp. 191-191. doi: 10.22038/ijmp.2018.12809
Malekzadeh, Reza, Mehnati, Parinaz, Nadiri, ta Allah, Bagheri, Yaser, Sabri, Hadi, Meynagi Zadeh Zargar, Reza, Osuli, Mahak. Prediction of solar ultraviolet intensity by using Fuzzy Logic in the north-west of Iran. , 1397; 15(Special Issue-12th. Iranian Congress of Medical Physics): 191-191. doi: 10.22038/ijmp.2018.12809

Prediction of solar ultraviolet intensity by using Fuzzy Logic in the north-west of Iran

Iranian Journal of Medical Physics
مقاله 191، دوره 15، Special Issue-12th. Iranian Congress of Medical Physics، بهمن و اسفند 2018، صفحه 191-191
نوع مقاله: Conference Proceedings
شناسه دیجیتال (DOI): 10.22038/ijmp.2018.12809
نویسندگان
Reza Malekzadeh1؛ Parinaz Mehnati2؛ ta Allah Nadiri3؛ Yaser Bagheri3؛ Hadi Sabri4؛ Reza Meynagi Zadeh Zargar2؛ Mahak Osuli* 5
1Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
2Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
3Department of Earth Sciences, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
4Department of Physics, University of Tabriz, Tabriz, Iran
5Department of Medical Physics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
چکیده
Introduction:
Solar energy is one of the free sources, clean and environmentally friendly energy. Sun is the most important source of natural ultraviolet radiation that has a major role in the life of living beings. Industrial and medical applications of ultraviolet radiation have been clearly proven, like the production of vitamin D or treatment of many diseases, and also harmful effects such as diseases related to skin and eyes. Therefore, prediction of UV exposure reaching the surface of the earth is an important subject in health, ecosystem and economy related concerns, which can affect efficiency, and increase the use of renewable energy sources. In this study fuzzy logic has been used to predict the amount of UV exposure in Tabriz.
Materials and Methods:
Intensity of solar UV radiation type A, B and C have been measured for a whole year from sunrise to sunset in Tabriz during 2016-2017. These data then were given to fuzzy logic model, along with sunny hours of day and moths of the year, as input to simulate and predict the solar UV exposure. Two statistical indexes, RMSE and R2, have been used to evaluate the presented model.
Results:
Considering the results of the proposed model with the experimental data, this model can predict the solar exposure accurately. Average errors obtained for simulation was RMSE=0.001 with R2=0.99.
Conclusion:
کلیدواژه‌ها
Solar radiation Ultraviolet exposure Artificial intelligence Fuzzy logic Prediction
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