ارزیابی عملکرد مدلهای هوشمند در تخمین دمای نقطه شبنم با استفاده از پارامترهای هواشناسی

Agam N and Berliner PR, 2006. Dew formation and water vapor adsorbtion in semi-arid environments-A review. Journal of Arid Environments 65: 572-590.

Al-Shammari ET,  Mohammadi K,  Keivani A, Ab Hamid SH, Akib S, Shamshirband S and Petkovic D, 2016.

Prediction of daily dew point temperature using a model combining the support vector machine with firefly

Algorithm. Journal of  Irrigation and Drainage Engineering 142 (5).040160131-9.

 

Amirmojahedi M, Mohammadi K, Shamshirband S, Seyed Danesh A, Mostafaeipour A and Kamsin A, 2016. A hybrid computational intelligence method for predicting dew point temperature. Journal of Environmental Earth Sciences 75:415-426.

Antonopoulos VZ, Papamichail DM, Aschonitis VG and Antonopoulos AV, 2019. Solar radiation estimation methods using ANN and empirical models. Computers and Electronics in Agriculture 160:160-167.‏

Dong  J, Wu  L, Liu  X, Li  Z, Gao Y, Zhang Y and Yang Q , 2020. Estimation of daily dew point temperature by using bat algorithm optimization based extreme learning machine. Applied Thermal Engineering 165: 114569.‏

Deka PC, Patil AP, Kumar PY and Naganna RS, 2018. Estimation of dew point temperature using SVM and ELM for humid and semi-arid regions of India. Journal of Hydraulic Engineering 24:190-197.

Fathollahzadeh Attar N,  Khalili K, Behmanesh J and Khanmohammadi N, 2018. On the reliability of soft computing methods in the estimation of dew point temperature: The case of arid regions of Iran. Journal of Computers and Electronics in Agriculture 153: 334-336.

Friedman JH,1991. Multivariate adaptive regression splines. The Annals of Statistics 19:1–67.                                                       

 Gornicki K and Winiczenko R, 2017. Evaluation of models for the dew point temperature determination. Technical Sciences 20(3): 241-257.

Hill AJ, DawsonTE, Shelef O and Rachmilevitch S, 2015. The role of dew in Negev Desert plants. Oecologia 178(2): 317-327.                                                                                                                                 

Isazadeh M and Rezaei Banafshe M, 2017. Evaluating of the artificial neural network and support vector mechine performance in determining daily evaporation values (Case study: Tabriz and Maragheh Meteorological Stations). Natural Geographical Research 49:151-168.

Lawrence MG, 2005. The relationship between relative humidity and the dew point temperature in moist air. Pp.225-233, American Meteorological Society.

Mehdizadeh S, Behmanesh J and Khalili K, 2017. Application of gene expression programming to predict daily dew point temperature. Applied Thermal Engineering 112: 1097-1107.

Mahmood R and Hubbard KG, 2005. Assessing bias in evapotranspiration and soil moisture estimate due to the use of modeled solar radiation and dew point temperature data. Agricultural and Forest Meteorology 25(2): 71-84.

Rabinson PR, 2000. Temporal trends in United States dew point temperature. Journal of Climatology 20: 985-1002.

Sabziparvar AA and Khattar B, 2015. Evaluated the artificial neural networks and Irmak Empirical Model in estimation net daily solar radiation in cold and semi arid area (Case study: Hamadan). Water and Soil Science- University of Tabriz 25: 37-50. (In Persian with English abstract).

Shank DB, Hoogenboom G and Mcclendon RW, 2008.  Dew point temperature prediction using artificial neural networks. Journal of Applied Meteorology and Climatology 47: 1757-1769                               

Shafei A, Ebrahimi H and Golkar Hamzehi HR, 2011. Determination of the optimum tillage pattern of crop using linear programming (Bashrouieh city). The First Conference of Meteorology and Agricultural Water Management, Nov.21-22, Tehran University, Tehran. (In Persian with English abstract).

Sharifi SF, Rezaverdinejad V and Nourani V, 2016. Estimation of daily global solar radiation using wavelet regression, ANN, GEP and empirical models: A comparative study of selected temperature-based approaches. Journal of Atmospheric and Solar-Terrestrial Physics 149: 131- 145

Shiri J, Kim S and Kisi O, 2014. Estimation of daily dew point temperature using soft computing techniques. Hydrology Research 45:165-181.

 

Williams MD, Goodrick SL, Grundstein A and Shepherd M, 2015. Comparison of dew point temperature estimation methods in Southwestern Georgia. Journal of Physical Geography 36: 255-267.