Document Type : Original Article
Authors
1 M.Sc Student of Agrometeorology, Department of Water Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan.
2 Assistant Professor of Irrigation Department, Faculty of Agricultural Engineering, Sari Agricultural & Natural Resources University, Sari.
Abstract
Keywords
10. Esfandiari Darabad, F., Hosseini, S., Azadi Mobaraki, M. and Hejazi Zadeh, Z., 2010, Monthly Average Temperature Forecast of Sanandaj Using MLP Artificial Neural Network model, Iranian Geographical Association, (8)27: 45-65.
11. Gautam, R. and Sinha, A. A., 2016, Time series analysis of reference crop evapotranspiration for Bokaro District, Jharkhand, India, Journal of Water and Land Development, 30(1): 51-56.
12. Ghavidel Rahimi, Y., 2012, Time Models Analysis and Forecasting of Low-Extreme Temperatures of Tehran, Journal of Geographical Space, 12(37): 141-157.
13. Ghorbani, M. A., Shiri, J. and Kazemi, H., 2010, Estimating Maximum Average and Minimum Air Temperature of Tabriz Using Artificial Intelligence Methods, Journal of Water and Soil Science, 1/20(3): 87-104.
14. Golabi, M. R., Akhondali, A. M. & Radmanesh, F., 2014, Anticipation of Comfortable Climate Traits in Abadan City with Using from Analysis of Time Series, Journal of Water & Soil, 27(6): 1235-1246.
15. Hayati, M. and Mohebi, Z., 2007, Temperature Forecasting Based on Neural Network Approach, World Applied Sciences Journal, 2(6): 613-620.
16. Kishore, V. and Pushpalatha, M., 2017, Forecasting Evapotranspiration for Irrigation Scheduling using Neural Networks and ARIMA, International Journal of Applied Engineering Research, 12(21): 10841-10847.
17. Landeras G., Ortiz-Barredo A. and Javier Lopez J. (2009). Forecasting weekly evapotranspiration with ARIMA and artificial neural network models. J. Irrig. Drain. Eng., 135(3): 323-334.
18. Mills, T. C, 2014, Time series modelling of temperatures: an example from Kefalonia, Meteorological Applications, 21: 578–584(2008).
19. Niroumand, H. A, and Bozorg Nia, A., 2011, Time Series, Payam Noor University Publications, Tehran.
20. Nuri, A. H., Hasan, K. and Jahir Bin Alam, Md., 2017, Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh, Journal of King Saud University - Science, 29(1): 47-61.
21. Nury, A. H., Hasan, K. and Jahir Bin Alam, Md., 2017, Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh, Journal of King Saud University - Science, 29(1): 47-61.
22. Patowary, A N., Goswami, K. and Hazarika, J., 2017, Monthly Temperature Prediction Based on ARIMA Model: A Case Study in Dibrugarh Station of Assam, India, International Journal of Advanced Research in Computer Science, 8(8): 292-298.
23. Rahimi, j., Ebrahimpour. M. and Khalili. A., 2013, Spatial changes of Extended De Martonne climatic zones affected by climate change in Iran, Theoretical and Applied Climatology, 112(3-4): 409-418.
24. Salas J. D. 1993. Analysis and modelling of hydrologic time series. In Handbook of hydrology, maidment, D. R. Chapter 19. McGraw-Hill. New York.
25. Salas J. D. 1993. Analysis and modelling of hydrologic time series. In Handbook of hydrology, maidment, D. R. Chapter 19. McGraw-Hill. New York.
26. Salas, J. D., Delleur, W., Yevjevich, V., Lane, W. L. 1988. Applied modeling of hydrologic time series. Water Resources Publications. Littleton, Colorado, U.S.A. Third prontonh. 484pp.
27. Shabani, B., Musavi Bayegi, M., Jabbari Nowghabi, M. and Ghahraman B., 2013, Modeling Monthly Maximum and Minimum Temperature of Mashhad Land Using Time Series Models, Journal of Water and Soil, 27(5): 896-906.
28. Ustaglu, B., Cigizoglu, H. K. and Karaca, M., Forecast of daily mean, maximum and minimum temperature time series by three artificial neural network methods, Meteorological Applications, 15: 431–445(2008).
29. Vahdat, S. F., Sarraf, A. P., Shamsnia, S. A. & Marashi, M., 2010, Relative Humidity and Mean Monthly Temperature forecasts and evaluation in Dezful station with ARIMA model in time series analysis, The First International Conference on Plant, Water, Soil & Weather Model, International Center for Science, High Technology & Environmental Sciences, Shahid Bahonar University of Kerman, 14-15 Nov, 2010, Kerman, Iran.
30. Veisipour, H., Masoumpour, J., Sahne, B. & Yousefi, Y., 2010, Analysis of rainfall and temperature trends using time series models (ARIMA) (Case study: Kermanshah), Journal of Geography, 4(12): 63-77.
31. Wang, W. C., Chau, K. W., Cheng, C. T. and Qiu, L., 2009, A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series, Journal of Hydrology, 374(3-4): 294-306.
32. Yakubo, M., 2014, Modeling an Average Monthly Temperature of Sokoto Metropolis Using Short Term Memory Models, International Journal of Academic Research in Business and Social Sciences, 4(7): 382-397.