Forecasting solute breakthrough curves through the unsaturated zone using artificial neural networks

Journal of Hydrology

Volumn 335, Issue 1-2, 2007, Pages 68-77

  Yoon, Heesung ^a   Hyun, Yunjung ^a   Lee, Kang Kun ^a  

^a Seoul National University   (South Korea)

Author keywords

Artificial neural network; HYDRUS 2D; Solute breakthrough curve; Unsaturated zone

Indexed keywords

MASS TRANSFER; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL METHODS; SENSITIVITY ANALYSIS;

SOLUTE BREAKTHROUGH CURVE; TRANSPORT MODELS; UNSATURATED ZONE;

GROUNDWATER FLOW;

GROUNDWATER FLOW; MASS TRANSFER; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL METHODS; SENSITIVITY ANALYSIS;

ARTIFICIAL NEURAL NETWORK; BREAKTHROUGH CURVE; FLOW MODELING; FORECASTING METHOD; GROUNDWATER FLOW; GROUNDWATER POLLUTION; POLLUTANT TRANSPORT; VADOSE ZONE;

EID: 33847316019     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2006.11.001     Document Type: Article

References (26)

1. Almasri M.N., and Kaluarachchi J.J. Modular neural networks to predict the nitrate distribution in ground water using the on-ground nitrogen loading and recharge data. Environmental Modelling and Software 20 (2005) 851-871
2. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, 2000. Artificial neural networks in hydrology I. Preliminary concepts, Journal of Hydrologic Engineering 5, 115-123.
3. Butters G.L., and Jury W.A. Field scale transport of bromide in an unsaturated soil, 2. Dispersion modeling. Water Resources Research 25 (1989) 1583-1589
4. Butters G.L., Jury W.A., and Ernst F.F. Field scale transport of bromide in an unsaturated soil, 1. Experimental methodology and results. Water Resource Research 25 (1989) 1575-1581
5. Flood I., and Kartam N. Neural networks in civil engineering. I: Principles and understanding. Journal of Computing in Civil Engineering 8 (1994) 131-148
6. Hagan M.T., Demuth H.B., and Beale M. Neural Network Design (1996), PWS Publishing Company, Boston, MA
7. Hsu K., Gupta H.V., and Sorooshian S. Artificial neural network modeling of the rainfall-runoff process. Water Resources Research 31 (1995) 2517-2530
8. Jain S.K., Singh V.P., Barton A.K., and van Genuchten M.Th. Analysis of soil water retention data using artificial neural networks. Journal of Hydrologic Engineering 9 (2004) 415-420
9. Jury W.A. Simulation of solute transport using transfer function model. Water Resources Research 18 (1982) 363-368
10. Jury W.A., and Sposito G. A transfer function of solute transport through soil 1. Fundamental concepts. Water Resources Research 22 (1986) 243-247
11. Jury W.A., Gardner W.R., and Gardner W.H. Soil Physics. fifth ed. (1991), John Wiley and Sons Inc, New York
12. Kuo Y., Liu C., and Lin K. Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan. Water Research 38 (2004) 148-158
13. Maier H.R., and Dandy G.C. The use of artificial neural networks for the prediction of water quality parameters. Water Resources Research 32 (1996) 1013-1022
14. Maier H.R., and Dandy G.C. Neural networks for the prediction and forecasting of water resources variables: a review of modeling issues and applications. Environmental Modeling and Software 15 (2000) 101-124
15. Mehrotra K., Mohan C.K., and Ranka S. Elements of Artificial Neural Networks (1997), The MIT Press, Boston, MA
16. Minns A.W., and Hall M.J. Artificial neural networks as rainfall-runoff models. Hydrological Sciences Journal 41 (1996) 399-417
17. Morshed J., and Kaluarachchi J.J. Application of artificial neural network and genetic algorithm in flow and transport simulations. Advances in Water Resources 22 (1998) 145-158
18. Rumelhart D.E., McClelland J.L., and The PDP Research Group. Parallel Distributed Processing: Explorations in the Microstructure of Cognition (1986), The MIT Press, Cambridge, MA
19. Sharma V., Negi S.C., Rudra R.P., and Yang S. Neural networks for predicting nitrate-nitrogen in drainage water. Agricultural Water Management 63 (2003) 169-183
20. Simunek, J., Sejna, M., van Genuchten, M.Th., 1996. HYDRUS-2D, Simulating water flow and solute transport in two-dimensional variably saturated media (version 1.0), IGWMC, Golden, CO.
21. Simunek J., Jarvis N.J., van Genuchten M.Th., and Gardenas A. Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone. Journal of Hydrology 272 (2002) 14-35
22. Skaggs T.H., Kabala Z.J., and Jury W.A. Deconvolution of a nonparametric transfer function for solute transport in soils. Journal of Hydrology 207 (1998) 170-178
23. Skaggs T.H., Trout T.J., Simunek J., and Shouse P.J. Comparison of HYDRUS-2D simulations of drip irrigation with experimental observations. Journal of Irrigation and Drainage Engineering 130 (2004) 304-310
24. Tseng P.H., and Jury W.A. Comparison of transfer function and deterministic modeling of area-averaged solute transport in a heterogeneous field. Water Resources Research 30 (1994) 2051-2063
25. White R.E., Dyson J.S., Haigh R.A., and Jury W.A. A transfer function model of solute transport through soil 2. Illustrative applications. Water Resources Research 22 (1986) 248-254
26. Zealand C.M., Burn D.H., and Simonovic S.P. Short term streamflow forecasting using artificial neural networks. Journal of Hydrology 214 (1999) 32-48