Journal of Civil and Environmental Engineering

Department Urban and Infrastructure Engineering, NED University of Engineering and Technology, Karachi, Pakistan

Publications

• Research Article   
  Water Quality Prediction Modeling of Manchar Lake, Pakistan using Machine Learning Algorithms
  Author(s): Aqsa Zahid*
  
  Lakes serve as a primary source of fresh water for the local communities and play an important role in improving the environmental well-being of an area. However, around the world, the quality of the lakes is continuously degrading due to various natural and manmade activities. To study the water quality parameters of the lake, this study utilizes Manchar Lake as the study area. The main objective of the research was to investigate the application of machine learning algorithms to predict the water quality index and quality parameters, aiming to overcome the limitations of traditional physical monitoring methods. Multiple machine learning algorithms were evaluated based on their performance measures, including accuracy, precision, recall and F1 score metrics. The study identified decision tree, random forest and gradient boosting emerging as the most accurate algorithms for predicting.. Read More»
  DOI: 10.37421/2165-784X.2025.15.586

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