2024, Vol. 5, Issue 2, Part A

Sustainable development in any field must include achieving social sustainability, environmental sustainability, and economic sustainability. In the field of water, this can be achieved by classifying water quality. When we classify water quality and determine pollution rates, solutions can be found and thus control pollution rates and the nature of pollution. Thus, we have we have achieved environmental sustainability. Also, by classifying water quality, human health can be preserved, and thus social sustainability is achieved. By classifying water quality and using it in irrigation sources and using it in various manufacturing fields, economic sustainability can be achieved. In this study, which aims to clarify the role of machine learning techniques in classifying water quality and how to apply it, the study also aims to clarify the importance of both machine learning techniques and classifying water quality, and through a methodology that is a mixture of methodologies of description, analysis, comparison, and quantitative methodology, a model was created using Neural network technology is one of the machine learning techniques in classifying water quality and predicting any future changes that may affect its quality. The results indicated that the neural network technique, the proposed model, and machine learning techniques are an important and very effective tool in classifying water quality, as the accuracy of the proposed model reached More than 90%, which is consistent with many previous and current studies.