A Comparative Study of Daily Pan Evaporation Estimation Using ANN, Regression and Climate Based Models

Water Resources Management

Volumn 24, Issue 8, 2010, Pages 1571-1581

  Shirsath, Paresh Bhaskar ^a   Singh, Anil Kumar ^b  

^a INDIAN AGRICULTURAL RESEARCH INSTITUTE   (India)

^b INDIAN COUNCIL OF AGRICULTURAL RESEARCH   (India)

Author keywords

ANN; Comparison; Evaporation; Penman; Priestley Taylor; Regression; Stephens and Stewart model

Indexed keywords

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; CATCHMENT SCALE; COMPARATIVE STUDIES; COMPARISON; DAILY PAN EVAPORATION; DATA SETS; FARM SCALE; MODEL DEVELOPMENT; MULTIPLE LINEAR REGRESSION MODELS; PAN EVAPORATION; PERFORMANCE EVALUATION; PRIESTLEY-TAYLOR; RELATIVE HUMIDITIES; STATISTICAL REGRESSION; WIND SPEED;

ATMOSPHERIC HUMIDITY; CATCHMENTS; ESTIMATION; EVAPORATION; LINEAR REGRESSION; NEURAL NETWORKS; WATER MANAGEMENT;

CLIMATE MODELS;

ARTIFICIAL NEURAL NETWORK; CATCHMENT; CLIMATE MODELING; COMPARATIVE STUDY; EVAPORATION; MEASUREMENT METHOD; MULTIPLE REGRESSION; WATER MANAGEMENT;

EID: 77952290338     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-009-9514-2     Document Type: Article

References (25)

1. Ahmad S, Simonovic SP (2006) An intelligent decision support system for management of floods. Water Res Manage 20: 391-410.
2. Ahmed JA, Sarma AK (2009) Artificial neural network model for synthetic streamflow generation. Res Water Manage 21: 1015-1029.
3. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration. Guidelines for computing crop water requirements. Irrigation and Drainage Paper No. 56, FAO, Rome.
4. Al-Shalan A, Salih AMA (1987) Evapotranspiration estimation in extremely arid areas. J Irrig Drain Eng ASCE 113(4): 565-574.
5. Bruton JM, McClendon RW, Hoogenboom G (2000) Estimating daily pan evaporation with artificial neural networks. Trans ASAE 43(2): 491-496.
6. Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, Singapore.
7. Doorenbos J, Pruitt WO (1977) Guidelines for predicting crop water requirements, 2nd edn. Irrigation and Drainage Paper No. 24, FAO, Rome.
8. Eslamian SS, Gohari SA, Biabanaki M, Malekian R (2008) Estimation of monthly pan evaporation using artificial neural networks and support vector machines. J Appl Sci 8(19): 3497-3502.
9. Firat M, Yurdusev MA, Turan ME (2009) Evaluation of artificial neural network techniques for municipal water consumption modeling. Water Res Manage 23: 617-632.
10. Ikebuchi S, Seki M, Ohtoh A (1988) Evaporation from Lake Biwa. J Hydrol 102: 427-449.
11. Keskin ME, Terzi O (2006) Artificial neural network models of daily pan evaporation. J Hydrol Eng ASCE 11(1): 65-70.
12. Kisi O (2006) Daily pan evaporation modelling using a neuro-fuzzy computing technique. J Hydrol 329: 636-646.
13. Kisi O (2009) Modeling monthly evaporation using two different neural computing techniques. Irrig Sci 27: 417-430.
14. Penman HL (1948) Natural evaporation from open water, bare soil, and grass. Proc R Soc Lond 193: 120-145.
15. Priestley CHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large scale parameters. Mon Weather Rev 100(2): 81-92.
16. Sablani SS, Shayya WH, Prashar SO (2001) An artificial neural network model for non-iterative calculation of the friction coefficient in open channel flow. Trans ASAE 16(2): 191-196.
17. Sarangi A, Bhattacharya AK (2005) Comparison of artificial neural network and regression models for sediment loss prediction from Banha watershed in India. Agric Water Manage 78: 195-208.
18. Sarangi A, Singh M, Bhattacharya AK, Singh AK (2006) Subsurface drainage performance study using SALTMOD and ANN models. Agric Water Manage 84: 240-248.
19. Singh RM, Datta B (2007) Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data. Water Res Manage 21: 557-572.
20. Snyder RL (1993) Equation for evaporation pan to evapotranspiration conversions. J Irrig Drain Eng ASCE 118(6): 977-980.
21. Stephens JC, Stewart EH (1963) A comparison of procedures for computing evaporation and evapotranspiration. Publication 62, International Association of Scientific Hydrology. International Union of Geodynamics and Geophysics, Berkeley, pp 123-133.
22. Sudheer KP, Gosain AK, Mohana Rangan D, Saheb SM (2002) Modelling evaporation using an artificial neural network algorithm. Hydrol Process 16: 3189-3202.
23. Terzi O, Keskin ME (2005) Modelling of daily pan evaporation. J Appl Sci 5(2): 368-372.
24. Terzi O, Keskin ME, Taylan ED (2006) Estimating evaporation using ANFIS. J Irrig Drain Eng ASCE 132(5): 503-507.
25. Zhang B, Govindaraju R (2003) Geomorphology-based artificial neural networks (GANNs) for estimation of direct runoff over watersheds. J Hydrol 273: 18-34.