Performance analysis of the water quality index model for predicting water state using machine learning techniques

Existing water quality index (WQI) models assess water quality using a range of classification schemes. Consequently, different methods provide a number of interpretations for the same water properties that contribute to a considerable amount of uncertainty in the correct classification of water quality. The aims of this study were to evaluate the performance of the water quality index (WQI) model in order to classify coastal water quality correctly using a completely new classification scheme. Cork Harbour water quality data was used in this study, which was collected by Ireland's environmental protection agency (EPA). In the present study, four machine-learning classifier algorithms, including support vector…

• SF
  Science Foundation Ireland
• UO
  University of Galway
• CS
  Charles Sturt University
• CO
  College of Science and Engineering, University of Minnesota