Computational and Numerical Modeling for Classification of Water Quality of Lake

Jonalyn G Ebron,Arviejhay D Alejandro,Basaron A Amoranto,Rommel Ivan D De Leon

doi:10.18178/ijesd.2020.11.9.1285

Jonalyn G Ebron, Arviejhay D Alejandro + Show 2 more

Open Access

https://doi.org/10.18178/ijesd.2020.11.9.1285

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Abstract

In this study, the Multivariate Linear Regression (MLR), Artificial Neural Network (ANN), k-Nearest Neighbour (kNN), and Support Vector Machine (SVM) models had been developed to simulate and to predict the water quality of Laguna Lake. The input variables for the MLR model had been determined through linear regression. The ANN, kNN, and SVM had been modelled per water quality parameter with cross validation and evaluated through its accuracy. The performance of the MLR models had been evaluated with the statistical metrics R-squared, Mean Absolute Error, and Root Mean Square Error. A web-based water quality monitoring had been developed to incorporate in their monitoring. The results had indicated that the performance of SVM is superior in the prediction of classes in most water quality parameters. The study results had shown that the poor correlation between the water quality parameters indicated that the data cannot be modelled. The results had shown that the correlation had not reached the threshold to be significant of 60% for R-squared. As per the classification models, the results of the comparison had shown that SVM had been the best model in the majority of parameters.

Highlights

Water pollution has become the most concerned problem in many countries around the world
Linear Regression was used for getting the correlation between two parameters for data cleaning using Multivariate Linear Regression (MLR), Artificial Neural Network (ANN) and Support Vector Machine (SVM) in creating a predictive model
ANN models, k-Nearest Neighbour (kNN), and SVM were used to predict the classes of the lake

Summary

Introduction

Water pollution has become the most concerned problem in many countries around the world. Water is a prime natural resource and precious national asset forms the chief constituent of the ecosystem [1]. It is one of the essential things in the world which is used by us humans and all of the other living things around us. Because of the continuous anthropogenic activities in bodies of water around the world, bodies of water are continually deteriorating and assisting in destroying the environment because of other chemicals that it contains. The classification of water quality is one of the most important ways to manage and monitor the quality of water resources

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