Infrastructures for Data in the Context of Flow Forecasting Using Artificial Neural Network Model for Okavango River in Namibia

A number of evolutions on data collection and sharing have been published. Countries have collected data but lack of access and complexity to implement these technologies has limitations. HydroServer Lite a web based server for sharing water data helps to address the need of data sharing and storing in a standard format. Namibia Hydrological Services has no common online system for storing and sharing of water data. This study extends the research on HSL features as data system linked to online ANN forecasting model. This is done by implementing a Namibian HSL using real time connection to the database to operate in real time tools developed to visualize and fill in missing data. Lastly, a model was build using Waikato Environment for Knowledge Analysis. Results of the best model obtained are coded in Hypertext Preprocessor with near real time data to provide continuous forecast. Linking data system for water resource management in a standard format is practical and promising.