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Evolutionary Modeling For Streamflow Forecasting With Minimal Datasets: A Case Study In The West Malian River, China, Qingwei Ni, Li Wang, Renzhen Ye, Fenglin Yang, Muttucumaru Sivakumar

Faculty of Engineering - Papers (Archive)

A large data set is generally needed when modeling hydrological processes. However, for developing countries such as China, data sets are often unavailable in remote areas. An attempt to apply a novel genetic programming (GP) technique was made to model the relationship between streamflow of the West Malian River and the impact of climate change in the northeastern part of China. Available annual streamflow and climatic data were used for training and testing of the GP model. Data from the years between 1982 and 2002 were used for automatic selection of the model relationship. Prediction of the model was undertaken …