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

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

Jacobine Taukondjele Amutenya, Gerald (Augusto) Corzo Perez
Copyright: © 2018 |Pages: 15
ISBN13: 9781522527190|ISBN10: 1522527192|EISBN13: 9781522527206
DOI: 10.4018/978-1-5225-2719-0.ch006
Cite Chapter Cite Chapter

MLA

Amutenya, Jacobine Taukondjele, and Gerald (Augusto) Corzo Perez. "Infrastructures for Data in the Context of Flow Forecasting Using Artificial Neural Network Model for Okavango River in Namibia." Hydrology and Best Practices for Managing Water Resources in Arid and Semi-Arid Lands, edited by Christopher Misati Ondieki and Johnson Utu Kitheka, IGI Global, 2018, pp. 106-120. https://doi.org/10.4018/978-1-5225-2719-0.ch006

APA

Amutenya, J. T. & Perez, G. A. (2018). Infrastructures for Data in the Context of Flow Forecasting Using Artificial Neural Network Model for Okavango River in Namibia. In C. Ondieki & J. Kitheka (Eds.), Hydrology and Best Practices for Managing Water Resources in Arid and Semi-Arid Lands (pp. 106-120). IGI Global. https://doi.org/10.4018/978-1-5225-2719-0.ch006

Chicago

Amutenya, Jacobine Taukondjele, and Gerald (Augusto) Corzo Perez. "Infrastructures for Data in the Context of Flow Forecasting Using Artificial Neural Network Model for Okavango River in Namibia." In Hydrology and Best Practices for Managing Water Resources in Arid and Semi-Arid Lands, edited by Christopher Misati Ondieki and Johnson Utu Kitheka, 106-120. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2719-0.ch006

Export Reference

Mendeley
Favorite

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.