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Dual Artificial Neural Network for Rainfall-Runoff Forecasting
Forecasting Hybrid model ANN Floods Non Linear
2013/3/19
One of the principal issues related to hydrologic models for prediction of runoff is the estimation of extreme values (floods). It is well understood that unless the models capture the dynamics of rai...
Calibration of a distributed flood forecasting model with input uncertainty using a Bayesian framework
a distributed flood nput uncertainty a Bayesian framework
2013/7/25
In the process of calibrating distributed hydrological models, accounting for inputuncertainty is important, yet challenging. In this study, we develop a Bayesian model toestimate parameters associate...
Development of Flood Forecasting System Using Statistical and ANN Techniques in the Downstream Catchment of Mahanadi Basin, India
Flood Forecasting Mahanadi Basin Hirakud Dam Statistical Method ANN Architecture
2013/3/21
The floods in river Mahanadi delta are due to either dam release of Hirakud or due to contribution of intercepted catchment between Hirakud dam and delta. It is seen from post-Hirakud periods (1958) t...
Forecasting of Runoff and Sediment Yield Using Artificial Neural Networks
Artificial Neural Network Forecasting Runoff Sediment Yield
2013/3/21
Runoff and sediment yield from an Indian watershed during the monsoon period were forecasted for differ-ent time periods (daily and weekly) using the back propagation artificial neural network (BPANN)...
APPLICATION OF GREY SYSTEM IN THE COASTLINE FORECASTING OF SUB-HUANGHE DELTA
Grey system theory Yellow River Sub-delta Coastline prediction GM (1,1)model
2013/7/22
The Yellow River is one of the heavy sediment laden river, uneven annual distribution of discharge and relatively weak marine effects. Because most of sediment deposited at the shallow water region of...
A FORECASTING MODEL OF DELTA EVOLUTION USING ARTIFICIAL NEURAL NETWORKS
The coastal zone Artificial neural network BP model Beach processes “Trial-error” method Huanghe Delta
2013/7/22
The coastal zone is an area that has the most active land-ocean interaction. Its evolution takes in high complexity, fuzziness and non-linearity under the influence of many factors such as the coming ...
In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system ...
Streamflow Forecasting Based on Statistical Applications and Measurements Made with Rain Gage and Weather Radar
Streamflow Forecasting Statistical Applications Measurements Made Rain Gage Weather Radar
2013/9/11
Techniques for streamflow forecasting are developed and tested for the Little Washita River in Oklahoma. The basic input for streamflow forecasts is rainfall. the rainfall amounts may be obtained from...