The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Artificial intelligence (AI) is increasingly proposed to address deficiencies across water
systems, which currently leave about 25% of the global population without clean water …

To ensure safe drinking water sources in the future, it is imperative to understand the quality
and pollution level of existing groundwater. The prediction of water quality with high …

Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …

The introduction of deep learning (DL)(LeCun et al., 2015) into hydrology around 2016–
2018 (Tao et al., 2016; Laloy et al., 2017, 2018; Shen, 2018; Shen et al., 2018), especially …

Over the last years, the global application of machine learning (ML) models in groundwater
quality studies has proved to be a robust alternative tool to produce highly accurate results …

Machine learning has been employed successfully as a tool virtually in every scientific and
technological field. In hydrology, machine learning models first appeared as simple feed …

Water distribution system monitoring is currently carried out using advanced real-time
control technologies to achieve a higher operational efficiency. Data analysis techniques …

Groundwater quality (GWQ) monitoring is one of the best environmental objectives due to
recent droughts and urban and rural development. Therefore, this study aimed to map GWQ …

The main objective of this study was to map the quality of groundwater for domestic use in
the Nabogo Basin, a sub-catchment of the White Volta Basin in Ghana, by applying machine …