Inferring Hydrological Properties of the Rainfall-Runoff Conversion Process through Artificial Neural Network Modeling

Authors

Francesco Dell'aira, University of Memphis
Tareq J. Chy, University of Memphis
Thomas H.W. Goebel, University of MemphisFollow
Claudio I. Meier, University of Memphis

Publication Title

World Environmental and Water Resources Congress 2022: Adaptive Planning and Design in an Age of Risk and Uncertainty - Selected Papers from the World Environmental and Water Resources Congress 2022

Recommended Citation

Dell'aira, F., Chy, T., Goebel, T., & Meier, C. (2022). Inferring Hydrological Properties of the Rainfall-Runoff Conversion Process through Artificial Neural Network Modeling. World Environmental and Water Resources Congress 2022: Adaptive Planning and Design in an Age of Risk and Uncertainty - Selected Papers from the World Environmental and Water Resources Congress 2022, 1264-1278. https://doi.org/10.1061/9780784484258.117