Developing precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …

Water quality deterioration in drinking water systems (ie, system failure) causing serious
outbreaks have frequently been happening around the world. These failures can be …

Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …

Since access to clean and safe water is one of life's most basic needs, the exponential
growth of the world's population makes it vital to guarantee a workable framework. Manually …

In recent years, a vision has been shared of how artificial intelligence (AI) can optimize the
increasingly complex operations of drinking water utilities. However, it has been unclear if …

Water quality strongly influences sustainable growth of a healthy society and green
environment. According to the International Initiative on Water Quality (IIWQ) of the UNESCO …

Water distribution systems are susceptible to contamination events, which can occur due to
naturally occurring events, accidents or even malicious attacks. When a contamination event …

Background Water quality has been compromised and endangered by different
contaminants due to Pakistan's rapid population development, which has resulted in a …

To prevent the pollution of water resources, the measurement and the limitation of
wastewater discharges are required. Despite the progress in the field of data acquisition …

This research study explores the potential of machine learning applications in environmental
management to significantly contribute to urban health enhancement. By utilizing machine …