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Modelling of Dissolved Oxygen in Thi Vai River Water Incorporating Artificial Neural Network and Multivariable Regression

Author

Listed:
  • Tat Pham Van
  • Minh Phap Dao
  • Pham Nu Ngoc Han

    (Department of Science and Engineering, Hoa Sen University, Viet Nam
    Center of Environmental Engineering and Monitoring, Dong Nai Province, Viet Nam)

Abstract

The water quality of watershed is one of the major concern in the operation and water quality management of watershed. The dissolved oxygen (DO) is one important element of important indicators for water bodies. This is essential demand for micro-organisms and a significant parameter of the aquatic ecosystems. In this work, we predicted the DO concentration of Thi Vai river, Viet Nam based on the relationships between the dissolved oxygen and the hydrologic parameters such as temperature, pH, turbidity, conductivity, chemical oxygen demand (COD), biological oxygen demand (BOD), nitrate and phosphate.

Suggested Citation

  • Tat Pham Van & Minh Phap Dao & Pham Nu Ngoc Han, 2017. "Modelling of Dissolved Oxygen in Thi Vai River Water Incorporating Artificial Neural Network and Multivariable Regression," Organic & Medicinal Chemistry International Journal, Juniper Publishers Inc., vol. 4(4), pages 74-81, December.
    • Handle: RePEc:adp:jomcij:v:4:y:2017:i:4:p:74-81
    DOI: 10.19080/OMCIJ.2017.04.555643
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