메뉴 건너뛰기




Volumn 28, Issue 1, 2014, Pages 99-113

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

Author keywords

ANFIS; ANN; Evapotranspiration; Hargreaves; Modelling; Ritchie

Indexed keywords

ERROR STATISTICS; EVAPOTRANSPIRATION; FUZZY NEURAL NETWORKS; MEAN SQUARE ERROR; MODELS; WIND;

EID: 84890876888     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0474-1     Document Type: Article
Times cited : (89)

References (38)
  • 1
    • 0002086548 scopus 로고
    • An update for the calculation of reference evapotranspiration
    • Allen RG, Smith M, Perrier A, Pereira LS (1994) An update for the calculation of reference evapotranspiration. ICID Bull 43(2): 35-92.
    • (1994) ICID Bull , vol.43 , Issue.2 , pp. 35-92
    • Allen, R.G.1    Smith, M.2    Perrier, A.3    Pereira, L.S.4
  • 3
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology II: hydrologic applications
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000) Artificial neural networks in hydrology II: hydrologic applications. J Hydrol Eng ASCE 5(2): 124-137.
    • (2000) J Hydrol Eng ASCE , vol.5 , Issue.2 , pp. 124-137
  • 4
    • 79551476028 scopus 로고    scopus 로고
    • Evapotranspiration estimation by two different neuro-fuzzy inference systems
    • Cobaner M (2011) Evapotranspiration estimation by two different neuro-fuzzy inference systems. J Hydrol 398(3-4): 292-302.
    • (2011) J Hydrol , vol.398 , Issue.3-4 , pp. 292-302
    • Cobaner, M.1
  • 5
    • 84873751024 scopus 로고    scopus 로고
    • Reference evapotranspiration based on Class A pan evaporation via wavelet regression technique
    • Cobaner M (2013) Reference evapotranspiration based on Class A pan evaporation via wavelet regression technique. Irrig Sci 31: 119-134.
    • (2013) Irrig Sci , vol.31 , pp. 119-134
    • Cobaner, M.1
  • 7
    • 61749090181 scopus 로고    scopus 로고
    • Artificial neural network models for estimating regional reference evapotranspiration based on climate factors
    • Dai X, Shi H, Li Y, Ouyang Z, Huo Z (2009) Artificial neural network models for estimating regional reference evapotranspiration based on climate factors. Hydrol Process 23: 442-450.
    • (2009) Hydrol Process , vol.23 , pp. 442-450
    • Dai, X.1    Shi, H.2    Li, Y.3    Ouyang, Z.4    Huo, Z.5
  • 8
    • 73649141001 scopus 로고    scopus 로고
    • Reference evapotranspiration estimation using adaptive neuro-fuzzy inference systems
    • Dogan E (2009) Reference evapotranspiration estimation using adaptive neuro-fuzzy inference systems. Irrig Drain 58: 617-628.
    • (2009) Irrig Drain , vol.58 , pp. 617-628
    • Dogan, E.1
  • 10
    • 33748795822 scopus 로고    scopus 로고
    • Discussion of 'Simplified estimation of reference evapotranspiration from pan evaporation data in California' by Snyder
    • R. L., Orang, M., Matyac S., and Grismer, M. E
    • Ghare AD, Porey PD, Ingle RN (2006) Discussion of 'Simplified estimation of reference evapotranspiration from pan evaporation data in California' by Snyder, R. L., Orang, M., Matyac S., and Grismer, M. E. J Irrig Drain Eng 132(5): 519-520.
    • (2006) J Irrig Drain Eng , vol.132 , Issue.5 , pp. 519-520
    • Ghare, A.D.1    Porey, P.D.2    Ingle, R.N.3
  • 11
    • 0002370669 scopus 로고
    • Reference crop evapotranspiration from temperature
    • Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2): 96-99.
    • (1985) Appl Eng Agric , vol.1 , Issue.2 , pp. 96-99
    • Hargreaves, G.H.1    Samani, Z.A.2
  • 15
    • 0001948173 scopus 로고
    • G. J. Hoffman, T. A. Howel, and K. H. Solomon (Eds.), St. Joseph: ASAE
    • Jones JW, Ritchie JT (1990) In: Hoffman GJ, Howel TA, Solomon KH (eds) ASAE monograph no. 9. ASAE, St. Joseph, pp 63-89.
    • (1990) ASAE Monograph No.9 , pp. 63-89
    • Jones, J.W.1    Ritchie, J.T.2
  • 17
    • 33746879196 scopus 로고    scopus 로고
    • Evapotranspiration estimation using feed-forward neural networks
    • Kisi O (2006a) Evapotranspiration estimation using feed-forward neural networks. Nord Hydrol 37(3): 247-260.
    • (2006) Nord Hydrol , vol.37 , Issue.3 , pp. 247-260
    • Kisi, O.1
  • 18
    • 33845321370 scopus 로고    scopus 로고
    • Generalized regression neural networks for evapotranspiration modeling
    • Kisi O (2006b) Generalized regression neural networks for evapotranspiration modeling. Hydrol Sci J 51(6): 1092-1105.
    • (2006) Hydrol Sci J , vol.51 , Issue.6 , pp. 1092-1105
    • Kisi, O.1
  • 19
    • 34447337473 scopus 로고    scopus 로고
    • Evapotranspiration modelling from climatic data using a neural computing technique
    • Kisi O (2007) Evapotranspiration modelling from climatic data using a neural computing technique. Hydrol Process 21: 1925-1934.
    • (2007) Hydrol Process , vol.21 , pp. 1925-1934
    • Kisi, O.1
  • 20
    • 34547116654 scopus 로고    scopus 로고
    • Adaptive neurofuzzy computing technique for evapotranspiration estimation
    • Kisi O, Ozturk O (2007) Adaptive neurofuzzy computing technique for evapotranspiration estimation. J Irrig Drain Eng ASCE 133(4): 368-379.
    • (2007) J Irrig Drain Eng ASCE , vol.133 , Issue.4 , pp. 368-379
    • Kisi, O.1    Ozturk, O.2
  • 22
    • 78650734426 scopus 로고    scopus 로고
    • Artificial neural networks approach in evapotranspiration modeling: a review
    • Kumar M, Raghuwanshi NS, Singh R (2011) Artificial neural networks approach in evapotranspiration modeling: a review. Irrig Sci 29(1): 11-25.
    • (2011) Irrig Sci , vol.29 , Issue.1 , pp. 11-25
    • Kumar, M.1    Raghuwanshi, N.S.2    Singh, R.3
  • 24
    • 39649125438 scopus 로고    scopus 로고
    • Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment
    • Rahimikhoob A (2008) Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment. Irrig Sci 26(3): 253-259.
    • (2008) Irrig Sci , vol.26 , Issue.3 , pp. 253-259
    • Rahimikhoob, A.1
  • 25
    • 77953810978 scopus 로고    scopus 로고
    • Estimation of evapotranspiration based on only air temperature data using artificial neural Networks for a subtropical climate in Iran
    • Rahimikhoob A (2010) Estimation of evapotranspiration based on only air temperature data using artificial neural Networks for a subtropical climate in Iran. Theor Appl Climatol 101(1-2): 83-91.
    • (2010) Theor Appl Climatol , vol.101 , Issue.1-2 , pp. 83-91
    • Rahimikhoob, A.1
  • 27
    • 16444379492 scopus 로고    scopus 로고
    • Comparison of adaptive network based fuzzy inference systems and b-spline neuro-fuzzy mode choice models
    • Sayed T, Tavakolie A, Razavi A (2003) Comparison of adaptive network based fuzzy inference systems and b-spline neuro-fuzzy mode choice models. J Comput Civ Eng ASCE 17(2): 123-130.
    • (2003) J Comput Civ Eng ASCE , vol.17 , Issue.2 , pp. 123-130
    • Sayed, T.1    Tavakolie, A.2    Razavi, A.3
  • 28
    • 0004328787 scopus 로고
    • Estimating reference evapotranspiration with hourly data. Chpt. VII
    • In: R. Snyder et al. (ed.), Univ. of California-Davis. Land, air and water resources paper #10013
    • Snyder R, Pruitt W (1985) Estimating reference evapotranspiration with hourly data. Chpt. VII. In: R. Snyder et al. (ed.) California irrigation management information system final report. Univ. of California-Davis. Land, air and water resources paper #10013.
    • (1985) California irrigation management information system final report
    • Snyder, R.1    Pruitt, W.2
  • 29
    • 20844453120 scopus 로고    scopus 로고
    • Simplified estimation of reference evapotranspiration from pan evaporation data in California
    • Snyder RL, Orang M, Matyac S, Grismer ME (2005) Simplified estimation of reference evapotranspiration from pan evaporation data in California. J Irrig Drain Eng 131(3): 249-253.
    • (2005) J Irrig Drain Eng , vol.131 , Issue.3 , pp. 249-253
    • Snyder, R.L.1    Orang, M.2    Matyac, S.3    Grismer, M.E.4
  • 30
    • 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. ASCE J Irrig Drai{dotless}n Eng 129(3): 214-218.
    • (2003) ASCE J Irrig Drai{dotless}n Eng , vol.129 , Issue.3 , pp. 214-218
    • Sudheer, K.P.1    Gosain, A.K.2    Ramasastri, K.S.3
  • 31
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • Takagi T, Sugeno M (1985) Fuzzy identification of systems and its application to modeling and control. IEEE Trans Syst Man Cybern 15(1): 116-132.
    • (1985) IEEE Trans Syst Man Cybern , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 32
    • 0033167344 scopus 로고    scopus 로고
    • Rainfall-runoff modeling using artificial neural networks
    • Tokar AS, Johnson PA (1999) Rainfall-runoff modeling using artificial neural networks. J Hydrologic Eng 4(3): 232-239.
    • (1999) J Hydrologic Eng , vol.4 , Issue.3 , pp. 232-239
    • Tokar, A.S.1    Johnson, P.A.2
  • 33
    • 68049113583 scopus 로고    scopus 로고
    • Estimating reference evapotranspiration using limited weather data
    • Trajkovic S, Kolakovic S (2009) Estimating reference evapotranspiration using limited weather data. J Irrig Drain Eng 135(4): 443-449.
    • (2009) J Irrig Drain Eng , vol.135 , Issue.4 , pp. 443-449
    • Trajkovic, S.1    Kolakovic, S.2
  • 35
    • 84868206179 scopus 로고    scopus 로고
    • Regional-specific numerical models of evapotranspiration using gene-expression programming interface in Sahel
    • Traore S, Guven A (2012) Regional-specific numerical models of evapotranspiration using gene-expression programming interface in Sahel. Water Resour Manag 26: 4367-4380.
    • (2012) Water Resour Manag , vol.26 , pp. 4367-4380
    • Traore, S.1    Guven, A.2
  • 36
    • 84871931548 scopus 로고    scopus 로고
    • New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa
    • Traore S, Guven A (2013) New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa. Irrig Sci 31: 1-10.
    • (2013) Irrig Sci , vol.31 , pp. 1-10
    • Traore, S.1    Guven, A.2
  • 37
    • 84875811028 scopus 로고    scopus 로고
    • TSMS
    • TSMS (2012) Turkish state meteorological service, http://www. mgm. gov. tr/veridegerlendirme/yillik-toplam-yagis-verileri. aspx.
    • (2012) Turkish state meteorological service
  • 38
    • 78650441335 scopus 로고    scopus 로고
    • Comparison and modification f equations for calculating evapotranspiration (ET) with data from Gansu Province, Northwest China
    • doi:10.1002/ird.502
    • Zhai L, Feng Q, Li Q, Xu C (2009) Comparison and modification f equations for calculating evapotranspiration (ET) with data from Gansu Province, Northwest China. Irrig Drain. doi: 10. 1002/ird. 502.
    • (2009) Irrig Drain
    • Zhai, L.1    Feng, Q.2    Li, Q.3    Xu, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.