Chapter
Apr 26, 2012
Suspended Sediment Forecasting by Artificial Neural Networks Using Hydro Meteorological Data
Authors: H. Kerem Cigizoglu and Murat AlpAuthor Affiliations
Publication: World Water & Environmental Resources Congress 2003
Abstract
Estimates of sediment yield are required in a wide spectrum of water resources engineering problems. The non-linear nature of suspended sediment time series necessitates the utilization of non-linear methods for the forecasting study. In this study artificial neural networks, a well known non-linear method, are employed to forecast the daily total suspended sediment amount on rivers. The neural networks are trained using the rainfall data, recorded on the river catchment, the river flow and suspended sediment data belonging to Juniata Catchment in USA. The simulations provided satisfactory forecasts in terms of the selected performance criteria comparing well with conventional methods.
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© 2003 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Climates
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Environmental engineering
- Forecasting
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Mathematics
- Meteorology
- Neural networks
- Nonlinear analysis
- River engineering
- Sediment
- Statistics
- Structural analysis
- Structural engineering
- Suspended sediment
- Water and water resources
- Water management
- Water policy
- Water resources
- Weather forecasting
Authors
Affiliations
H. Kerem Cigizoglu
Associate Professor, Istanbul Technical University, Civil Engineering Faculty, Division of Hydraulics, Maslak, 80626, Istanbul, Turkey
Murat Alp
Civil Engineer, MsC, State Hydraulic Works, 14.Regional Directorate, Küçüçamlica, 81190, Istanbul, Turkey
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.