A comparison of nonlinear flood forecasting methods
Publication
, Journal Article
Laio, F; Porporato, A; Revelli, R; Ridolfi, L
Published in: Water Resources Research
January 1, 2003
Two nonlinear models, nonlinear prediction (NLP) and artificial neural networks (ANN), are compared for multivariate flood forecasting. For NLP the calibration of the locally linear model is quite simple, while for ANN the validation and identification of the model can be cumbersome, mainly because of overfitting. Very good results are obtained with the two methods: NLP performs slightly better at short forecast times while the situation is reversed for longer times.
Duke Scholars
Published In
Water Resources Research
DOI
ISSN
0043-1397
Publication Date
January 1, 2003
Volume
39
Issue
5
Related Subject Headings
- Environmental Engineering
- 4011 Environmental engineering
- 4005 Civil engineering
- 3707 Hydrology
- 0907 Environmental Engineering
- 0905 Civil Engineering
- 0406 Physical Geography and Environmental Geoscience
Citation
APA
Chicago
ICMJE
MLA
NLM
Laio, F., Porporato, A., Revelli, R., & Ridolfi, L. (2003). A comparison of nonlinear flood forecasting methods. Water Resources Research, 39(5). https://doi.org/10.1029/2002WR001551
Laio, F., A. Porporato, R. Revelli, and L. Ridolfi. “A comparison of nonlinear flood forecasting methods.” Water Resources Research 39, no. 5 (January 1, 2003). https://doi.org/10.1029/2002WR001551.
Laio F, Porporato A, Revelli R, Ridolfi L. A comparison of nonlinear flood forecasting methods. Water Resources Research. 2003 Jan 1;39(5).
Laio, F., et al. “A comparison of nonlinear flood forecasting methods.” Water Resources Research, vol. 39, no. 5, Jan. 2003. Scopus, doi:10.1029/2002WR001551.
Laio F, Porporato A, Revelli R, Ridolfi L. A comparison of nonlinear flood forecasting methods. Water Resources Research. 2003 Jan 1;39(5).
Published In
Water Resources Research
DOI
ISSN
0043-1397
Publication Date
January 1, 2003
Volume
39
Issue
5
Related Subject Headings
- Environmental Engineering
- 4011 Environmental engineering
- 4005 Civil engineering
- 3707 Hydrology
- 0907 Environmental Engineering
- 0905 Civil Engineering
- 0406 Physical Geography and Environmental Geoscience