Journal article
TDNN with logical values for hydrologic modeling in a cold and snowy climate
Abstract
Watershed runoff in areas with heavy seasonal snow cover is usually estimated using physically based conceptual hydrologic models. Such simulation models normally require a snowmelt algorithm consisting of a surface energy balance and some accounting of internal snowpack processes to be part of the modeling system. On the other hand, artificial neural networks are flexible mathematical structures that are capable of identifying such complex …
Authors
Dibike YB; Coulibaly P
Journal
Journal of Hydroinformatics, Vol. 10, No. 4, pp. 289–300
Publisher
IWA Publishing
Publication Date
October 1, 2008
DOI
10.2166/hydro.2008.049
ISSN
1464-7141