Rainfall-runoff modeling using Artificial Neural Networks

Journal of Hydrologic Engineering

Volumn 4, Issue 3, 1999, Pages 232-239

  Tokar, A Sezin ^a   Johnson, Peggy A ^b  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; RIVERS; SNOW; WATERSHEDS; WEATHER FORECASTING;

LITTLE PATUXENT RIVER; RAINFALL RUNOFF MODEL;

RAIN;

ARTIFICIAL NEURAL NETWORK; RAINFALL-RUNOFF MODELING;

UNITED STATES;

EID: 0033167344     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(1999)4:3(232)     Document Type: Article

References (17)

1. Caudill, M. (1987). "Neural networks primer, part I." AI Expert, December, 46-52.
2. French, M. N., Krajewski, W. F., and Cuykendall, R. R. (1992). "Rainfall forecasting in Space and Time Using a Neural Network." J. Hydrol., 137, 1-31.
3. Gupta, V. K., and Sorooshian, S. (1985). "The relationship between data and the precision of parameter estimates of hydrologic models." J. Hydrol., 81, 57-77.
4. Hecht-Nielsen, R. (1990). Neurocomputing. Addison-Wesley Publishing Company, Reading, Mass.
5. Hsu, K., Gupta, V. H., and Sorooshian, S. (1995). "Artificial neural network modeling of the rainfall-runoff process." Water Resour. Res., 31(10), 2517-2530.
6. Markus, M. (1997). "Application of neural networks in streamflow forecasting," PhD dissertation, Colorado State University, Fort Collins, Colo.
7. McCuen, R. H., and Snyder, W. M. (1986). Hydrologic modeling: statistical methods and applications. Prentice Hall Englewood Cliffs, N.J.
8. McCuen, R. H. (1993). Statistical hydrology. Prentice Hall, Englewood Cliffs, N.J.
9. Poff, L. N., Tokar, A. S., and Johnson P. A. (1996). "Stream hydrological and ecological responses to climatic change assessed with an artificial neural network." Limnol. and Oceanogr., 41(5), 857-863.
10. Professional II/PLUS and Neural Works Explorer. (1993). Tech. Publ. Group Neural Ware, Pittsburgh, Pa.
11. Roger, L. L., and Dowla, F. U. (1994). "Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling." Water Resour. Res., 30(2), 457-481.
12. Rumelhart, D. E., McClelland, J. L., and PDP Research Group (1986). Parallel distributed processing. Vol. 1: Foundations. The MIT Press, Cambridge, Mass.
13. Tokar, A. S. (1996). "Rainfall-runoff modeling in an uncertain environment," PhD dissertation, University of Maryland, College Park, Md.
14. Trent, R., Molinas, A., and Gagarin, N. (1993a). "An artificial neural network for computing sediment transport." Proc., Conf. on Hydr. Engrg., ASCE, Reston, Va., 1049-1054.
15. Trent, R., Rhodes, J., and Gagarin, N. (1993b). "Estimating pier scour with artificial neural networks." Proc., Conf. on Hydr. Engrg., ASCE, Reston, Va., 1043-1048.
16. Wasserman, P. D. (1989). Neural computing theory and practice. Van Nostrand Reinhold, New York.
17. Yapo, P. O., Gupta, V. H., and Sorooshian, S. (1996). "Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data." J. Hydrol., 181, 23-48.