Web-Based Decision Support System for Water Quality Monitoring and Prediction for Outdoor Microalgae Cultivation

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3

Abstract

Abstract: In outdoor microalgae cultivation, water quality monitoring is essential for identifying any existing problem or any issues that could emerge in the future. It is very helpful in maintaining the water parameters to its optimum level to prevent unexpected death of microalgae. In outdoor cultivation, the temperature of the environment is changing which makes the blooming of microalgae less predictable. Since the environment is not controlled, the monitoring of water quality status becomes more demanding. There is a need for a web-based Decision Support System (DSS) that allows monitoringof water quality anytime, anywhere; andpredicts future water quality.This study involves the development of a web-based software that allows entry of current valuesand predicts future values of the primary water quality parameters for outdoor microalgae cultivation: salinity and temperature. The value and status of the predicted salinity and temperature is based on historical data and current state using the similarity-based classification technique K-Nearest Neighbor (KNN). The DSS informs the user about the rise and fall of salinity and temperature either beyond or below standard level and gives suggestion of what action needs to be done to maintain the water quality parameters to optimum level. Cross validation is performed to determine the best fit parameter of 19, using the criteria of Mean Squared Error of regression in KNN. Using Mean Absolute Percentage Error (MAPE), the forecast accuracy rate of temperature and salinity are computed as 96.98% and 98.92% respectively. There is no significant difference between the suggested water to be added by the DSS and by the aquatic experts thus, the DSS can be utilized for water quality prediction.

Authors and Affiliations

Beroña, Elyzer A. , Buntag, Daibey Rose B. , Felomina, Tan, Mary Jane M. , Coronado, Armin S.

Keywords

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  • EP ID EP138714
  • DOI -
  • Views 88
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How To Cite

Beroña, Elyzer A. , Buntag, Daibey Rose B. , Felomina, Tan, Mary Jane M. , Coronado, Armin S. (2016). Web-Based Decision Support System for Water Quality Monitoring and Prediction for Outdoor Microalgae Cultivation. IOSR Journals (IOSR Journal of Computer Engineering), 18(3), 16-20. https://europub.co.uk/articles/-A-138714