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Volumn 60, Issue 3, 2011, Pages 404-417

Modelling reference evapotranspiration using feed forward backpropagation algorithm in arid regions of Africa

Author keywords

Arid regions; Evapotranspiration; Feed forward backpropagation; Modelling; Temperature data

Indexed keywords


EID: 79959812669     PISSN: 15310353     EISSN: 15310361     Source Type: Journal    
DOI: 10.1002/ird.589     Document Type: Article
Times cited : (28)

References (42)
  • 1
    • 79959832038 scopus 로고    scopus 로고
    • Crop evapotranspiration, guideline for computing water requirements. Irrigation Drainage Paper No. 56, FAO, Rome Italy.
    • Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration, guideline for computing water requirements. Irrigation Drainage Paper No. 56, FAO, Rome Italy.
    • (1998)
    • Allen, R.G.1    Pereira, L.S.2    Raes, D.3    Smith, M.4
  • 3
    • 34250179482 scopus 로고    scopus 로고
    • Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages
    • Cai J, Liu Y, Lei T, Pereira LS. 2007. Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agricultural and Forest Meteorology145:22-35.
    • (2007) Agricultural and Forest Meteorology , vol.145 , pp. 22-35
    • Cai, J.1    Liu, Y.2    Lei, T.3    Pereira, L.S.4
  • 4
    • 33646186265 scopus 로고    scopus 로고
    • Modelling for improved irrigation water management in a temperate region of northern Spain
    • Cancela JJ, Cuesta TS, Neira XX, Pereira LS. 2006. Modelling for improved irrigation water management in a temperate region of northern Spain. Biosystems Engineering94(1):151-163.
    • (2006) Biosystems Engineering , vol.94 , Issue.1 , pp. 151-163
    • Cancela, J.J.1    Cuesta, T.S.2    Neira, X.X.3    Pereira, L.S.4
  • 5
    • 60749116339 scopus 로고    scopus 로고
    • Performance evaluation of reference evapotranspiration estimation using climate based methods and artificial neural networks
    • Chauhan S, Shrivastava RK. 2009. Performance evaluation of reference evapotranspiration estimation using climate based methods and artificial neural networks. Water Resources Management23(5):825-837.
    • (2009) Water Resources Management , vol.23 , Issue.5 , pp. 825-837
    • Chauhan, S.1    Shrivastava, R.K.2
  • 6
    • 27544493548 scopus 로고    scopus 로고
    • Generalized regression neural network in modeling river sediment yield
    • Cigizoglu HK, Alp M. 2006. Generalized regression neural network in modeling river sediment yield. Advances in Engineering Software37:63-68.
    • (2006) Advances in Engineering Software , vol.37 , pp. 63-68
    • Cigizoglu, H.K.1    Alp, M.2
  • 7
    • 0742288318 scopus 로고    scopus 로고
    • A wind-based qualitative calibration of the Hargreaves ETo estimation equation in semiarid regions
    • Cob AM, Juste MT. 2004. A wind-based qualitative calibration of the Hargreaves ETo estimation equation in semiarid regions. Agricultural Water Management64:251-264.
    • (2004) Agricultural Water Management , vol.64 , pp. 251-264
    • Cob, A.M.1    Juste, M.T.2
  • 9
    • 79959840684 scopus 로고
    • Crop water requirement. Irrigation and Drainage Paper No.33, FAO, Rome Italy.
    • Doorenbos J, Pruitt WO. 1977. Crop water requirement. Irrigation and Drainage Paper No.33, FAO, Rome Italy.
    • (1977)
    • Doorenbos, J.1    Pruitt, W.O.2
  • 14
    • 0031935311 scopus 로고    scopus 로고
    • Trends in reference evapo-transpiration in the North East arid zone of Nigeria
    • Hess TM. 1999. Trends in reference evapo-transpiration in the North East arid zone of Nigeria. Journal of Arid Environments38:99-115.
    • (1999) Journal of Arid Environments , vol.38 , pp. 99-115
    • Hess, T.M.1
  • 15
    • 0842289049 scopus 로고    scopus 로고
    • Assessment of evapotranspiration estimation models for use in semi-arid environments
    • Hossein D, Yamamoto T, Rasiah V. 2004. Assessment of evapotranspiration estimation models for use in semi-arid environments. Agriculture Water Management64:91-106.
    • (2004) Agriculture Water Management , vol.64 , pp. 91-106
    • Hossein, D.1    Yamamoto, T.2    Rasiah, V.3
  • 16
    • 0035869210 scopus 로고    scopus 로고
    • Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration
    • Hupet F, Vanclooster M. 2001. Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration. Journal of Hydrology243:192-204.
    • (2001) Journal of Hydrology , vol.243 , pp. 192-204
    • Hupet, F.1    Vanclooster, M.2
  • 18
    • 31444439227 scopus 로고    scopus 로고
    • Artificial neural network models of daily pan evaporation
    • Keskin ME, Terzi O. 2006. Artificial neural network models of daily pan evaporation. Journal of Hydrologic Engineering ASCE11(1):65-70.
    • (2006) Journal of Hydrologic Engineering ASCE , vol.11 , Issue.1 , pp. 65-70
    • Keskin, M.E.1    Terzi, O.2
  • 19
    • 39649125438 scopus 로고    scopus 로고
    • Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment
    • Khoob AR. 2008a. Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment. Irrigation Science26(3):253-259.
    • (2008) Irrigation Science , vol.26 , Issue.3 , pp. 253-259
    • Khoob, A.R.1
  • 20
    • 54849427050 scopus 로고    scopus 로고
    • Artificial neural network estimation of reference evapotranspiration from pan evaporation in a semi-arid environment
    • Khoob AR. 2008b. Artificial neural network estimation of reference evapotranspiration from pan evaporation in a semi-arid environment. Irrigation Science27(1):35-39.
    • (2008) Irrigation Science , vol.27 , Issue.1 , pp. 35-39
    • Khoob, A.R.1
  • 21
    • 39849084753 scopus 로고    scopus 로고
    • Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling
    • Kim S, Kim HS. 2008. Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling. Journal of Hydrology351:299-317.
    • (2008) Journal of Hydrology , vol.351 , pp. 299-317
    • Kim, S.1    Kim, H.S.2
  • 22
    • 34547116654 scopus 로고    scopus 로고
    • Adaptive neurofuzzy computing technique for evapotranspiration estimation
    • Kişi O, Ozturk O. 2007. Adaptive neurofuzzy computing technique for evapotranspiration estimation. Journal of Irrigation and Drainage Engineering133(4):368-379.
    • (2007) Journal of Irrigation and Drainage Engineering , vol.133 , Issue.4 , pp. 368-379
    • Kişi, O.1    Ozturk, O.2
  • 24
    • 50249103269 scopus 로고    scopus 로고
    • Comparative study of conventional and artificial neural network-based ETo estimation models
    • Kumar M, Bandyopadhyay A, Raghuwanshi NS, Singh R. 2008. Comparative study of conventional and artificial neural network-based ETo estimation models. Irrigation Science26:531-545.
    • (2008) Irrigation Science , vol.26 , pp. 531-545
    • Kumar, M.1    Bandyopadhyay, A.2    Raghuwanshi, N.S.3    Singh, R.4
  • 25
    • 42049121124 scopus 로고    scopus 로고
    • Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)
    • Landeras G, Ortiz-Barredo A, Lopez JJ. 2008. Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain). Agriculture Water Management95:553-565.
    • (2008) Agriculture Water Management , vol.95 , pp. 553-565
    • Landeras, G.1    Ortiz-Barredo, A.2    Lopez, J.J.3
  • 26
    • 34347395240 scopus 로고    scopus 로고
    • Estimating evapotranspiration of irrigated rice at the West coast of the Peninsular of Malaysia
    • Lee TS, Najim MMM, Aminul MH. 2004. Estimating evapotranspiration of irrigated rice at the West coast of the Peninsular of Malaysia. Journal of Applied Irrigation Science39:103-117.
    • (2004) Journal of Applied Irrigation Science , vol.39 , pp. 103-117
    • Lee, T.S.1    Najim, M.M.M.2    Aminul, M.H.3
  • 27
    • 79959817893 scopus 로고    scopus 로고
    • Sensitivity of the FAO-56 Crop Reference Evapotranspiration to Different Input Data. Technical report. Queensland Government, Natural Resources and Mines; 1-14.
    • Li FZ, Alan B. 2005. Sensitivity of the FAO-56 Crop Reference Evapotranspiration to Different Input Data. Technical report. Queensland Government, Natural Resources and Mines; 1-14.
    • (2005)
    • Li, F.Z.1    Alan, B.2
  • 28
    • 0035264923 scopus 로고    scopus 로고
    • Calculation methods for reference evapotranspiration with limited weather data
    • Liu Y, Pereira LS. 2001. Calculation methods for reference evapotranspiration with limited weather data. Journal of Hydraulics Engineering3:11-17.
    • (2001) Journal of Hydraulics Engineering , vol.3 , pp. 11-17
    • Liu, Y.1    Pereira, L.S.2
  • 29
    • 0026272626 scopus 로고
    • Intercomparison of evapotranspiration estimates
    • Mohan S. 1991. Intercomparison of evapotranspiration estimates. Hydrological Science Journal36(5):447-460.
    • (1991) Hydrological Science Journal , vol.36 , Issue.5 , pp. 447-460
    • Mohan, S.1
  • 30
    • 33646685417 scopus 로고    scopus 로고
    • Performance evaluation of reference evapotranspiration equations across a range of Indian climates
    • Nandagiri L, Kovoor G. 2006. Performance evaluation of reference evapotranspiration equations across a range of Indian climates. Journal of Irrigation and Drainage Engineering132(3):238-249.
    • (2006) Journal of Irrigation and Drainage Engineering , vol.132 , Issue.3 , pp. 238-249
    • Nandagiri, L.1    Kovoor, G.2
  • 31
    • 17144425437 scopus 로고    scopus 로고
    • Farm water and soil management for improved water use in the North China plain
    • Pereira LS, Cai LG, Hann MJ. 2003. Farm water and soil management for improved water use in the North China plain. Irrigation and Drainage52:299-317.
    • (2003) Irrigation and Drainage , vol.52 , pp. 299-317
    • Pereira, L.S.1    Cai, L.G.2    Hann, M.J.3
  • 32
    • 33646262307 scopus 로고    scopus 로고
    • Validation of the FAO methodology for computing ETo with limited data. Application to south Bulgaria
    • Popova Z, Kercheva M, Pereira LS. 2006. Validation of the FAO methodology for computing ETo with limited data. Application to south Bulgaria. Irrigation and Drainage55:201-215.
    • (2006) Irrigation and Drainage , vol.55 , pp. 201-215
    • Popova, Z.1    Kercheva, M.2    Pereira, L.S.3
  • 33
    • 79959855957 scopus 로고
    • Expert Consultation Report on Revision of FAO Methodologies for Crop Water Requirements. Rome, Italy, 28-31 May, Land and Water Development Division
    • Smith M, Allen R, Monteith JL, Perrier A, Pereira LS, Segeren A. 1990. Expert Consultation Report on Revision of FAO Methodologies for Crop Water Requirements. Rome, Italy, 28-31 May, Land and Water Development Division; 1-59.
    • (1990) , pp. 1-59
    • Smith, M.1    Allen, R.2    Monteith, J.L.3    Perrier, A.4    Pereira, L.S.5    Segeren, A.6
  • 34
    • 0000996827 scopus 로고    scopus 로고
    • Revised FAO Methodology for Crop Water Requirements. ASAE International Conference on Evapotranspiration and Irrigation Scheduling, 3-6 November, San Antonio, TX.
    • Smith M, Allen R, Pereira L. 1996. Revised FAO Methodology for Crop Water Requirements. ASAE International Conference on Evapotranspiration and Irrigation Scheduling, 3-6 November, San Antonio, TX: 116-123.
    • (1996) , pp. 116-123
    • Smith, M.1    Allen, R.2    Pereira, L.3
  • 35
    • 0038546820 scopus 로고    scopus 로고
    • Estimating actual evapotranspiration from limited climatic data using neural computing technique
    • Sudheer KP, Gosain AK, Ramasastri KS. 2003. Estimating actual evapotranspiration from limited climatic data using neural computing technique. Journal of Irrigation and Drainage Engineering129(3):214-218.
    • (2003) Journal of Irrigation and Drainage Engineering , vol.129 , Issue.3 , pp. 214-218
    • Sudheer, K.P.1    Gosain, A.K.2    Ramasastri, K.S.3
  • 37
    • 23044444044 scopus 로고    scopus 로고
    • Temperature-based approaches for estimating reference evapotranspiration
    • Trajkovic S. 2005. Temperature-based approaches for estimating reference evapotranspiration. Journal of Irrigation and Drainage Engineering131(4):316-323.
    • (2005) Journal of Irrigation and Drainage Engineering , vol.131 , Issue.4 , pp. 316-323
    • Trajkovic, S.1
  • 39
    • 34347374545 scopus 로고    scopus 로고
    • Assessment of evapotranspiration based on data information models at production sites in Burkina Faso
    • Wang YM, Traore S, Kerh T. 2007. Assessment of evapotranspiration based on data information models at production sites in Burkina Faso. WSEAS Transactions on Computers6(6):880-887.
    • (2007) WSEAS Transactions on Computers , vol.6 , Issue.6 , pp. 880-887
    • Wang, Y.M.1    Traore, S.2    Kerh, T.3
  • 40
    • 48749093170 scopus 로고    scopus 로고
    • Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso
    • Wang YM, Traore S, Kerh T. 2008. Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso. WSEAS Transactions on Computers6(7):704-713.
    • (2008) WSEAS Transactions on Computers , vol.6 , Issue.7 , pp. 704-713
    • Wang, Y.M.1    Traore, S.2    Kerh, T.3
  • 41
    • 10044272398 scopus 로고    scopus 로고
    • Performance of the Priestley-Taylor equation in the semi-arid climate of North China
    • Xiaoying L, Erda L. 2005. Performance of the Priestley-Taylor equation in the semi-arid climate of North China. Agricultural Water Management71:1-17.
    • (2005) Agricultural Water Management , vol.71 , pp. 1-17
    • Xiaoying, L.1    Erda, L.2


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