Flood routing modelling with artificial neural networks

Advances in Geosciences

Volumn 9, Issue , 2006, Pages 131-136

  Peters, R ^a   Schmitz, G ^a   Cullmann, J ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DATABASE; FLOOD ROUTING; HYDROLOGICAL MODELING; ONE-DIMENSIONAL MODELING; SPATIAL RESOLUTION;

CENTRAL EUROPE; EURASIA; EUROPE; FREIBERGER MULDE RIVER; GERMANY; SAXONY;

EID: 33749234378     PISSN: 16807340     EISSN: 16807359     Source Type: Journal    
DOI: 10.5194/adgeo-9-131-2006     Document Type: Article

References (6)

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4. Shrestha, R. R., Theobald, S., and Nestmann, F.: Simulation of flood flow in a river system using artificial neural networks, Hydrol. Earth Syst. Sci., 9(4), 313-321, 2005.
5. USACE1: US-Army Corps of Engineers, HEC-River Analysis System. Hydraulic Reference Manual, Version 3.1, http://www.hec.usace.army.mil/software/hec-ras/, 2002.
6. USACE2: US-Army Corps of Engineers. HEC-GeoRAS, An extension for support of HEC-RAS using ArcView, http://www.hec.usace.army.mil/software/hec-ras/, 2002.