Rainfall disaggregation using artificial neural networks

Journal of Hydrologic Engineering

Volumn 5, Issue 3, 2000, Pages 299-307

  Burian, Steven J ^a   Rocky Durrans, S ^b   Tomić, Saša ^b   Pimmel, Russell L ^c   Wai, Chung Ngai ^c  

^a 3202 Bell Engineering Center   (United States)

^b The University of Alabama   (United States)

^c The Aerospace Engineering and Mechanics Department   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; LEARNING ALGORITHMS; NEURAL NETWORKS; STORMS; TIME SERIES ANALYSIS;

RAINFALL DISAGGREGATION; RAINFALL HYETOGRAPH; SELF ORGANIZATION; STEEP DESCENT ALGORITHM;

RAIN;

ARTIFICIAL NEURAL NETWORK; DISAGGREGATION; PRECIPITATION (CLIMATOLOGY); TIME SERIES;

EID: 0034234334     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(2000)5:3(299)     Document Type: Article

References (20)

1. Anderson, J. A. (1995). An introduction to neural networks, MIT Press, Cambridge, Mass.
2. Dowla, F. U., and Rogers, L. L. (1995). Solving problems in environmental engineering and geosciences with artificial neural networks, MIT Press, Cambridge, Mass.
3. Freeman, J., and Skapura, D. (1991). Neural networks: Algorithms, applications, and programming techniques, Addison-Wesley, Reading, Mass.
4. Glasby, C. A., Cooper. G., and Gechan, M. B. (1996). "Disaggregation of daily rainfall by continuous simulation from a point process model." J. Hydro., Amsterdam, 165, 1-9.
5. Hagan, M. T., Demuth, H. B., and Beale, M. (1996). Neural network design. PWS/KENT Publishing Co., Boston.
6. Halff, A. H., Halff, H. M., and Azmoodeh, M. (1993). "Predicting runoff from rainfall using neural networks." Proc., Symp., Engrg. Hydro., C. Y. Kuo, ed., ASCE, New York, 760-765.
7. Hershenhorn, J., and Woolhiser, D. A. (1987). "Disaggregation of daily rainfall." J. Hydro., Amsterdam, 95, 299-322.
8. James, W., and Robinson, M. A. (1982). "Continuous modeling essential for detention design." Proc., ASCE Conf. on Stormwater Detention Fac., ASCE, New York, 163-175.
9. Johansson, E. M., Dowla, F. U., and Goodman, D. M. (1992). "Back-propagation learning for multi-layer feed-forward neural networks using the conjugate gradient method." Int. J. Neural Sys., 2(4), 291-301.
10. Liou, E. Y. (1970). "OPSET - program for computerized selection of watershed parameter values of Stanford watershed model." Res. Rep. 34, University of Kentucky, Lexington, Ky.
11. Minns, A. W., and Hall, M. J. (1996). "Artificial neural networks as rainfall-runoff models." Hydrological Sci. J., Oxford, England, 41(3), 399-417.
12. Nguyen, V.-T-V., and Pandey, G. R. (1994). "Estimation of short-duration rainfall distribution using data measured at longer time scales." Water Sci. and Technol, 29(1-2), 39-45.
13. Ormsbee, L. E. (1989). "Rainfall disaggregation model for continuous hydrologic modeling." J. Hydr. Engrg., ASCE, 115(4), 507-525.
14. Rumelhart, D. E., Hilton. G. E., and Williams, R. J. (1994). "The basic ideas in neural networks." Communications of the ACM. 37(3), 87-92.
15. Smith, J., and Eli, R. N. (1995). "Neural-network models of rainfall-runoff process." J. Water Resour. Plng, and Mgmt.. ASCE, 121(6), 499-508.
16. Thirumalaiah, K., and Deo, M. C. (1998). "River stage forecasting using artificial neural networks." J. Hydrologic Engrg., ASCE, 3(1). 26-32.
17. Tsintikidis, D., Haferman, J. L., Anagnostou, E. N., Krajewski, W. F., and Smith, T. F. (1997). "Neural network approach to estimating rainfall from spaceborne microwave data." IEEE Trans, of Geosciences and Remote Sensing, 35(5), 1079-1093.
18. Valiant, L. G. (1984). "A theory of the learnable." Communications of the ACM, 27(11), 1134-1142.
19. Xiao, R., and Chandrasekar, V. (1997). "Development of a neural network based algorithm for rainfall estimation from radar observations." IEEE Trans, on Geoscience and Remote Sensing, 35(1), 160-171.
20. Zhang, S. P., Watanabe, H., and Yamada, R. (1994). "Prediction of daily water demands by neural networks." Stochastic and statistical methods in hydrology and environmental engineering, Volume 3, Time series analysis in hydrology and environmental engineering, K. Hipel, A. I. McLeod, U. S. Panu, and V. P. Singh, eds., Kluwer Academic, Boston, 217-227.