Water Quality and Water Pollution Monitoring Using Artificial Intelligence

Abstract

Water quality is among the most significant environmental components for increasing climate change adaptation. However, outstanding to poor water quality as a result of industrialization and declining water quality in rivers, lakes, and groundwater has become a global concern, prompting many countries to reform water governance to achieve sustainable development through an integrated approach, as recommended. Artificial intelligence techniques have become increasingly popular in recent years. A water quality monitoring software gives a precise evaluation of water quality, allowing decision makers to comprehend, evaluate, and apply the data to assist resource management actions. At present, the use of artificial intelligence–based techniques in the water domain is still relatively low when compared to those in other sectors, such as energy, health care, or transportation. In this chapter, we are highlighting the use of artificial intelligence for water quality monitoring, emphasizing its advantages and the different techniques. The chapter also discusses, in brief, the main water quality parameters and the emerging water contaminants. The application of diverse artificial intelligence techniques for water quality and water pollution monitoring is also discussed. © 2023 selection and editorial matter, Alaa El Din Mahmoud, Manal Fawzy, and Nadeem Ahmad Khan.