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Volumn 31, Issue 1, 2013, Pages 1-10

New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRAIC FORMULAS; BURKINA FASO; COMPLEX FUNCTIONS; CONVENTIONAL METHODS; CRITICAL VARIABLES; DRY REGION; METEOROLOGICAL DATA; MODELING PROCESS; PREDICTIVE ABILITIES; REFERENCE EVAPOTRANSPIRATION; SUB-SAHARAN AFRICA; WEATHER DATA; WEST AFRICA;

EID: 84871931548     PISSN: 03427188     EISSN: 14321319     Source Type: Journal    
DOI: 10.1007/s00271-011-0288-y     Document Type: Article
Times cited : (49)

References (26)
  • 2
    • 39849091610 scopus 로고    scopus 로고
    • Genetic programming approach to suspended sediment modelling
    • Aytek A, Kişi Ö (2008) Genetic programming approach to suspended sediment modelling. J Hydrol 351(3-4): 288-298.
    • (2008) J Hydrol , vol.351 , Issue.3-4 , pp. 288-298
    • Aytek, A.1    Kişi, Ö.2
  • 3
    • 79952697761 scopus 로고    scopus 로고
    • Genetic programming for longitudinal dispersion coefficients in streams
    • Azmathulla HM, Ghani AA (2011) Genetic programming for longitudinal dispersion coefficients in streams. Water Resour Manag 25: 1537-1544.
    • (2011) Water Resour Manag , vol.25 , pp. 1537-1544
    • Azmathulla, H.M.1    Ghani, A.A.2
  • 5
    • 0347499408 scopus 로고    scopus 로고
    • Gene expression programming: a new adaptive algorithm for solving problems
    • Ferreira C (2001b) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13(2): 87-129.
    • (2001) Complex Syst , vol.13 , Issue.2 , pp. 87-129
    • Ferreira, C.1
  • 6
    • 68049113510 scopus 로고    scopus 로고
    • New approach for stage-discharge relationship: gene-expression programming
    • Guven A, Aytek A (2009) New approach for stage-discharge relationship: gene-expression programming. J Hydrol Eng 14(8): 812-820.
    • (2009) J Hydrol Eng , vol.14 , Issue.8 , pp. 812-820
    • Guven, A.1    Aytek, A.2
  • 7
    • 79751525117 scopus 로고    scopus 로고
    • Daily pan evaporation modeling using linear genetic programming technique
    • Guven A, Kişi Ö (2010) Daily pan evaporation modeling using linear genetic programming technique. Irrig Sci 29(2): 135-145.
    • (2010) Irrig Sci , vol.29 , Issue.2 , pp. 135-145
    • Guven, A.1    Kişi, Ö.2
  • 8
    • 78650237475 scopus 로고    scopus 로고
    • Gene-expression programming for estimating suspended sediment in Middle Euphrates basin, Turkey
    • Guven A, Talu NE (2010) Gene-expression programming for estimating suspended sediment in Middle Euphrates basin, Turkey. Clean Soil Air Water 38(12): 1159-1168.
    • (2010) Clean Soil Air Water , vol.38 , Issue.12 , pp. 1159-1168
    • Guven, A.1    Talu, N.E.2
  • 9
    • 68349106166 scopus 로고    scopus 로고
    • Genetic programming based empirical model for daily reference evapotranspiration estimation
    • Guven A, Aytek A, Yuce MI, Aksoy H (2008) Genetic programming based empirical model for daily reference evapotranspiration estimation. Clean Soil Air Water 36(10-11): 905-912.
    • (2008) Clean Soil Air Water , vol.36 , Issue.10-11 , pp. 905-912
    • Guven, A.1    Aytek, A.2    Yuce, M.I.3    Aksoy, H.4
  • 10
    • 78650705343 scopus 로고    scopus 로고
    • Soil liquefaction modeling by genetic expression programming and neuro-fuzzy
    • Kayadelen C (2010) Soil liquefaction modeling by genetic expression programming and neuro-fuzzy. Expert Syst Appl 38(4): 4080-4087.
    • (2010) Expert Syst Appl , vol.38 , Issue.4 , pp. 4080-4087
    • Kayadelen, C.1
  • 11
    • 61749102355 scopus 로고    scopus 로고
    • Daily pan evaporation modeling using multi-layer perceptrons and radial basis neural networks
    • Kişi Ö (2009a) Daily pan evaporation modeling using multi-layer perceptrons and radial basis neural networks. Hydrol Process 23: 213-223.
    • (2009) Hydrol Process , vol.23 , pp. 213-223
    • Kişi, Ö.1
  • 12
    • 67849114055 scopus 로고    scopus 로고
    • Modeling monthly evaporation using two different neural computing techniques
    • Kişi Ö (2009b) Modeling monthly evaporation using two different neural computing techniques. Irrig Sci 27(5): 417-430.
    • (2009) Irrig Sci , vol.27 , Issue.5 , pp. 417-430
    • Kişi, Ö.1
  • 13
    • 80053945047 scopus 로고    scopus 로고
    • Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration
    • doi: 10.1007/s00271-010-0254-0
    • Ozkan C, Kisi O, Akay B (2010) Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration. Irrig Sci. doi: 10. 1007/s00271-010-0254-0.
    • (2010) Irrig Sci
    • Ozkan, C.1    Kisi, O.2    Akay, B.3
  • 14
    • 80052542665 scopus 로고    scopus 로고
    • Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations
    • doi: 10. 1016/j.cageo.2010.11.010
    • Shiri J, Kişi Ö (2010) Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations. Comput Geosci. doi: 10. 1016/j. cageo. 2010. 11. 010.
    • (2010) Comput Geosci
    • Shiri, J.1    Kişi, Ö.2
  • 15
    • 40649104057 scopus 로고    scopus 로고
    • Evapotranspiration from a freshwater marsh in the Sanjiang plain, northeast China
    • Sun L, Song C (2008) Evapotranspiration from a freshwater marsh in the Sanjiang plain, northeast China. J Hydrol 352: 202-210.
    • (2008) J Hydrol , vol.352 , pp. 202-210
    • Sun, L.1    Song, C.2
  • 16
    • 77953692036 scopus 로고    scopus 로고
    • Estimation of daily pan evaporation using artificial neural networks and multivariate linear regression
    • Tabari H, Marofi S, Sabziparvar A-K (2010) Estimation of daily pan evaporation using artificial neural networks and multivariate linear regression. Irrig Sci 28(5): 399-406.
    • (2010) Irrig Sci , vol.28 , Issue.5 , pp. 399-406
    • Tabari, H.1    Marofi, S.2    Sabziparvar, A.-K.3
  • 17
    • 77953363038 scopus 로고    scopus 로고
    • A mixture neural methodology for computing rice consumptive water requirements in Fada N'Gourma region, Eastern Burkina Faso
    • Traore S, Wang YM, Kan CE, Kerh T (2010a) A mixture neural methodology for computing rice consumptive water requirements in Fada N'Gourma region, Eastern Burkina Faso. Paddy Water Env J 8(2): 165-173.
    • (2010) Paddy Water Env J , vol.8 , Issue.2 , pp. 165-173
    • Traore, S.1    Wang, Y.M.2    Kan, C.E.3    Kerh, T.4
  • 18
    • 76549126637 scopus 로고    scopus 로고
    • Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone
    • Traore S, Wang YM, Kerh T (2010b) Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone. Agric Water Manag J 97: 707-714.
    • (2010) Agric Water Manag J , vol.97 , pp. 707-714
    • Traore, S.1    Wang, Y.M.2    Kerh, T.3
  • 19
    • 70350075067 scopus 로고    scopus 로고
    • Time-lagged recurrent network for forecasting episodic event suspended sediment load in Typhoon prone area
    • Wang YM, Traore S (2009) Time-lagged recurrent network for forecasting episodic event suspended sediment load in Typhoon prone area. Int J Phys Sci 4(9): 519-528.
    • (2009) Int J Phys Sci , vol.4 , Issue.9 , pp. 519-528
    • Wang, Y.M.1    Traore, S.2
  • 20
    • 76549088933 scopus 로고    scopus 로고
    • Neural networks approaches for modeling river suspended sediment concentration due to tropical storms
    • Wang YM, Kerh T, Traore S (2009a) Neural networks approaches for modeling river suspended sediment concentration due to tropical storms. Global NEST J 11(4): 457-466.
    • (2009) Global NEST J , vol.11 , Issue.4 , pp. 457-466
    • Wang, Y.M.1    Kerh, T.2    Traore, S.3
  • 21
    • 70349097147 scopus 로고    scopus 로고
    • Computational performance of reference evapotranspiration in Semiarid zone of Africa
    • Wang YM, Traore S, Kerh T (2009b) Computational performance of reference evapotranspiration in Semiarid zone of Africa. Sci Res Essays 6(4): 577-583.
    • (2009) Sci Res Essays , vol.6 , Issue.4 , pp. 577-583
    • Wang, Y.M.1    Traore, S.2    Kerh, T.3
  • 22
    • 79959812669 scopus 로고    scopus 로고
    • Modelling reference evapotranspiration using feed forward backpropagation algorithm in arid regions of Africa
    • doi: 10.1002/ird.589
    • Wang YM, Traore S, Kerh T, Leu JM (2010) Modelling reference evapotranspiration using feed forward backpropagation algorithm in arid regions of Africa. Irrig Drain. doi: 10. 1002/ird. 589.
    • (2010) Irrig Drain
    • Wang, Y.M.1    Traore, S.2    Kerh, T.3    Leu, J.M.4
  • 23
    • 0035105632 scopus 로고    scopus 로고
    • Modelling rainfall-runoff using genetic programming
    • Whigham PA, Crapper PF (2001) Modelling rainfall-runoff using genetic programming. Math Comput Model 33(6-7): 707-721.
    • (2001) Math Comput Model , vol.33 , Issue.6-7 , pp. 707-721
    • Whigham, P.A.1    Crapper, P.F.2
  • 24
    • 78650177093 scopus 로고    scopus 로고
    • Characteristics and modeling of evapotranspiration over a temperate desert steppe in Inner Mongolia, China
    • Yang F, Zhou G (2011) Characteristics and modeling of evapotranspiration over a temperate desert steppe in Inner Mongolia, China. J Hydrol 396: 139-147.
    • (2011) J Hydrol , vol.396 , pp. 139-147
    • Yang, F.1    Zhou, G.2
  • 25
    • 77956057286 scopus 로고    scopus 로고
    • Gene-expression programming for sediment load estimation: a case study
    • Zakaria NA, Azamathulla HMd, Chang CK, Ghani AbA (2010) Gene-expression programming for sediment load estimation: a case study. J Sci Total Environ 408: 5078-5085.
    • (2010) J Sci Total Environ , vol.408 , pp. 5078-5085
    • Zakaria, N.A.1    Azamathulla, H.2    Chang, C.K.3    Ghani, A.A.4
  • 26
    • 33745792873 scopus 로고    scopus 로고
    • Estimating potential evapotranspiration using Shuttleworth-Wallace model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over the Mekong river basin
    • Zhou MC, Ishidaira H, Hapuarachchi HP, Magome J, Kiem AS, Takeuchi K (2006) Estimating potential evapotranspiration using Shuttleworth-Wallace model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over the Mekong river basin. J Hydrol 327: 151-173.
    • (2006) J Hydrol , vol.327 , pp. 151-173
    • Zhou, M.C.1    Ishidaira, H.2    Hapuarachchi, H.P.3    Magome, J.4    Kiem, A.S.5    Takeuchi, K.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.