Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia
Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Due to its tropical climate, the impact of seasonal monsoons on river quality is significant, with the increased occurrence of extreme precipitation events; however, there has been little discussion on the application of artificial intelligence models for monsoonal river classification. In light of these, this study had applied artificial neural network (ANN) and support vector machine (SVM) models for monsoonal (dry and wet seasons) river classification using three of the water quality parameters to minimise the cost of river monitoring and associated errors in WQI computation.
Description
Keywords
River classifcation, Seasonal monsoon, Artifcial neural network, Support vector machine, Water quality index
Citation
Wong, Y. J., Shimizu, Y., Kamiya, A., Maneechot, L., Bharambe, K. P., Fong, C. S., & Nik Sulaiman, N. M. (2021). Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia. Environmental Monitoring and assessment, 193(7), 438.