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

Tat Pham Van, Pham Nu Ngoc Han and Minh Phap Dao
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Pham Nu Ngoc Han: Department of Science and Engineering, Hoa Sen University, Vietnam
Minh Phap Dao: Center of Environmental Engineering and Monitoring, Dong Nai Province, Vietnam

International Journal of Environmental Sciences & Natural Resources, 2017, vol. 7, issue 1, 11-18

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. The multivariate regression (MLR) technique and back-propagation neural network (BPNN) were used to establish those relationships.

Keywords: earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:adp:ijesnr:v:7:y:2017:i:1:p:11-18

DOI: 10.19080/IJESNR.2017.07.555703

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