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5. Contributors

Author

Abdullah, Farizul Nizam, primary, Acharya, U. Dinesh, additional, Al Sayah, Mario J., additional, Alias, Nor Eliza, additional, Allaoui, Wafae, additional, Bari, Sheikh Hefzul, additional, Bateni, M. Mehdi, additional, Behfar, Nazanin, additional, Bouteffeha, Maroua, additional, Cardona, Omar-Darío, additional, Carreño, Martha Liliana, additional, Chanda, Kironmala, additional, Cherif, Rim, additional, Coraggio, Elisa, additional, Das, Prabal, additional, Diani, Khadija, additional, El Belrhiti, Hicham, additional, Eslamian, Saeid, additional, Ettazarini, Said, additional, Farzi, Soheila, additional, Gargouri-Ellouze, Emna, additional, Geshnigani, Fatemeh Sohrabi, additional, Gökçekuş, Hüseyin, additional, Golabi, Mohammad Reza, additional, Gourfi, AbdelAli, additional, Hahou, Youssef, additional, Han, Dawei, additional, Heddam, Salim, additional, Jamali, Mohammad, additional, Jayashree, T.R., additional, Junqueira Junior, José A., additional, Kisi, Ozgur, additional, Kothadaraman, Saravanan, additional, Kuppusamy, Mohan, additional, Lee, Taesam, additional, Malik, Anurag, additional, Mantovani, Vanessa A., additional, Mello, Carlos R., additional, Mello, José M., additional, Mounir, Kaoutar, additional, Najafi, Hessam, additional, Nourani, Vahid, additional, Paknezhad, Nardin Jabbarian, additional, Pandi, Dinagarapandi, additional, Paramasivam, Rasnavi, additional, Parvizi, Saeideh, additional, Reddy, N.V. Subba, additional, Rodrigues, André F., additional, Sabzevari, Yaser, additional, Sadikoglu, Fahreddin, additional, Sammen, Saad Shauket, additional, Schertzer, Daniel, additional, Sharghi, Elnaz, additional, Singh, Vijay P., additional, Souag-Gamane, Doudja, additional, Terra, Marcela C.N.S., additional, Tikhamarine, Yazid, additional, Tryfonas, Theo, additional, Umar, Ibrahim Khalil, additional, and Versini, Pierre-Antoine, additional

Published
2023
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7. Contributors

Author

Abida, Habib, primary, Ansari, A.H., additional, Baghban, Alireza, additional, Bateni, M. Mehdi, additional, Boulmaiz, Tayeb, additional, Boutaghane, Hamouda, additional, Daneshfar, Reza, additional, Dehghani, Amir Ahmad, additional, Delavar, Mojtaba Aghajani, additional, Dorafshan, Mohammad Mahdi, additional, Emami, Sajad Khodambashi, additional, Eslamian, Saeid, additional, Esmaeili, Mohammad, additional, Ghasempour, Roghayeh, additional, Gholami, Mahsa, additional, Ghorbani, Khalil, additional, Guermoui, Mawloud, additional, Habibzadeh, Sajjad, additional, Heddam, Salim, additional, Heydari, Zahra, additional, Jabbari, Mohammad Reza, additional, Karches, Tamas, additional, Kaur, Jatinder, additional, Kuchak, Vahid Shokri, additional, Kumburu, Neema Penance, additional, Kuzmanović, Vladan, additional, Mohammadi-Khanaposhtani, Mohammad, additional, Montazeri, Amir Hossein, additional, Movahedi, Neshat, additional, Naseri, Maryam, additional, Niazkar, Majid, additional, Olyaei, Mohammad Ali, additional, Parmar, Kulwinder Singh, additional, Riahi-Madvar, Hossien, additional, Riyahi, Mohammad Mehdi, additional, Roushangar, Kiyoumars, additional, Saber, Mohamed, additional, Sabzevari, Yaser, additional, Seraj, Amir, additional, Shahnazi, Saman, additional, Singh, Sarbjit, additional, Sivakumar, P., additional, Suribabu, C.R., additional, Wang, Junye, additional, Zaghiyan, Mohammad Reza, additional, Zakwan, Mohammad, additional, and Zeynolabedin, Amin, additional

Published
2023
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9. Evaluation of artificial intelligence models in calculating daily and monthly reference evapotranspiration (case study: Khorramabad station)

Author

Sabzevari, Yaser, Nasrolahi, Ali Heidar, Sharifipour, Majid, and Shahinejad, Babak

Abstract

The FAO-penman-monteith method requires a lot of input data, which is difficult in many cases to access, it is necessary to replace the simpler models with low initial inputs and appropriate accuracy. Based on the effect of input parameters on reference evapotranspiration, six input patterns for modelling were determined. This result indicates the appropriate selection of input parameters and their effectiveness in modelling and increasing the number of effective variables in the input causes the expansion of the model memory to estimate the output values, which increases the number of data for network training and the network is well generalised.

Published
2024
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10. Spatio-Temporal Variations of Reference Evapotranspiration in Western Iran.

Author

Sabzevari, Yaser and Eslamian, Saeid

Subjects
*SPATIO-temporal variation, *WATER management, *INFLUENCE of altitude, *GEOGRAPHIC information systems, *WIND speed, *EVAPOTRANSPIRATION
Abstract

Optimal management of water resources requires accurate determination of water balance components in each region and Evapotranspiration is one of the most important components of water balance. The purpose of this study was to investigate the spatiotemporal variability of reference evapotranspiration in Lorestan province-western Iran country using the Man-Kendall test and GIS then assess the effect of different climatic parameters on ET0 using multivariate regression. Lorestan province with a 28064 km area in western Iran has 9 synoptic stations including Khorramabad, Boroujerd, Aligouderz, Azna, Doroud, Koohdasht, Poldokhter, Aleshatar, and Noorabad. In this study, meteorological data were used for 9 synoptic stations of the Lorestan in a period from 2001 to 2017. The results showed that at most of the stations and most months, the changing trend was decreasing. The annual decrease in Azna station with Z=-2.73 at 99% level, and in the stations of Aligodarz, Kohdasht, and Doroud with Z equal to -2.27, -2.35, and -2.2, respectively at 95% was significant. The spatial distribution of ET0 showed that the maximum amount of ET0 occurred in the south of Lorestan Province, and decreased from south to north and west to east of the study area. These results indicate the influence of latitude and altitude on the spatial distribution of ET0. The impact of different parameters showed the greatest effect of maximum temperature and wind speed on ET0. [ABSTRACT FROM AUTHOR]

Published
2023
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