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Archives of Agronomy and Soil Science Volume 58, 2012 - Issue 5
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Articles

Comparison of artificial neural networks and prediction models for reference evapotranspiration estimation in a semi-arid region

Fatemeh Dehbozorgi Irrigation Department, Shiraz University, Shiraz, Islamic Republic of Iran
&
Ali Reza Sepaskhah Irrigation Department, Shiraz University, Shiraz, Islamic Republic of IranCorrespondence[email protected]
Pages 477-497 | Received 26 Aug 2010, Accepted 04 Oct 2010, Published online: 29 Jul 2011

References

  • Allen , R G , Pereira , L S , Raes , D and Smith , M . 1998 . Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56 , 300 Rome , , Italy : FAO .
  • Doorenbos , J and Pruitt , W O . 1977 . Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper No. 24 , 2nd ed , 179 Rome , , Italy : FAO .
  • Garcia , M , Jan , S and Masmoudi , M . 2007 . Neural networks: low-memory training and regularization techniques Technical report. Available: http:www.cerfacs.fr/algor/reports/2007/TR-PA-07-25.pdf>. Accessed 11 March 2008
  • Hargreaves , G H and Samani , Z A . 1985 . Reference crop evapotranspiration from temperature . Appl Eng Agr , 1 : 96 – 99 .
  • Jensen , M E , Burman , R D and Allen , R G . 1990 . Evapotranspiration and irrigation water requirements. Committee on Irrigation Water Requirements, Irrigation and Drainage Division of ASCE. Manual no. 70 , 332 New York : American Society of Civil Engineers .
  • Kisi , O . 2007 . The potential of different ANN techniques in evapotranspiration modeling . Hydrol Process , 22 ( 14 ) : 2449 – 2460 .
  • Kumar , M , Raghuwanshi , N S , Singh , R , Wallender , W W and Pruitt , W O . 2002 . Estimating evapotranspiration using artificial neural network . J Irrig Drainage E-ASCE , 128 ( 4 ) : 224 – 232 .
  • López-Urrea , R , Martín de Santa Olalla , F , Fabeiro , C and Moratalla , A . 2006 . An evaluation of two hourly reference evapotranspiration equations for semiarid conditions . Agr Water Manage , 86 : 277 – 282 .
  • Mackay , D JC . 1992 . Bayesian interpolation . Neural Comput , 4 ( 3 ) : 415 – 447 .
  • Malek , E . 1978 . Determination of the constants for the global radiation equation at Badjgah, Iran . Agr Meteorol , 20 : 233 – 235 .
  • Malek , E . 1982 . Method of evaluating water balance and determining climate type: an example for Badjgah . Iran Agr Sci , 12 : 57 – 72 .
  • Mahjoory , R A . 1975 . Clay mineralogy, physical and chemical properties of some soils in arid regions of Iran . Soil Sci Soc Am Proc , 39 : 1157 – 1164 .
  • Nash , J E and Sutcliffe , J V . 1970 . River flow forecasting through conceptual models: 1. A discussion of principles . J Hydrol , 10 : 282 – 290 .
  • Penman , H L . 1948 . Natural evaporation from open water, bare soil, and grass . Proc R Soc Lond (A) , 193 : 120 – 145 .
  • Rahimi-Khoob , A . 2008 . Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment . Irrig Sci , 26 : 253 – 259 .
  • Razzaghi , F . 2007 . Calibration of ETo equations with using measured ETo by weighting lysimeter in Kooshkak [master's thesis]. [Shiraz (Iran)]: Shiraz University. 186 pp
  • Razzaghi , F and Sepaskhah , A R . 2010a . Assessment of nine different equations for ETo estimation using lysimeter data in semi-arid environment . Arch Agron Soil Sci , 56 ( 1 ) : 1 – 12 .
  • Razzaghi , F and Sepaskhah , A R . 2010b . Calibration and validation of four common ETo estimation equations by lysimeter data in a semi-arid environment . Arch Agron Soil Sci , 98 : 38 – 44 . DOI: 10.1080/03650340.2010.518957
  • Sepaskhah , A R and Razzaghi , F . 2009 . Evaluation of the adjusted Thornthwaite and Hargreaves–Samani methods for estimation of daily evapotranspiration in a semi-arid region of Iran . Arch Agron Soil Sci , 55 ( 1 ) : 51 – 66 .
  • Smith , M . 1991 . Report on the expert consultation on procedures for revision of FAO guidelines for prediction of crop water requirements , 45 Rome , , Italy : FAO .
  • Sudheer , K P , Gosain , A K and Ramasastri , K S . 2003 . Estimating actual evapotranspiration from limited climatic data using neural computing technique . J Irrig Drainage E-ASCE , 129 ( 3 ) : 214 – 216 .
  • Temesgen , B , Eching , S , Davidoff , B and Frame , K . 2005 . Comparision some reference evapotranspiration equations for California . J Irrig Drainage E-ASCE , 131 ( 1 ) : 73 – 84 .
  • Trajkovic , S , Todorovic , B and Stankovic , M . 2003 . Forecasting of reference evapotranspiration by artificial neural networks . J Irrig Drainage E-ASCE , 129 ( 6 ) : 454 – 457 .
  • Willmott , C J . 1982 . Some comments on the evaluation of model performance . Am Meteorol Soc , 63 : 1309 – 1313 .

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