Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …

Could computer simulation models drive our ambitions to sustainability in urban and non-
urban environments? Digital twins, defined here as real-time, virtual replicas of physical and …

In the context of smart city development and rapid urbanization worldwide, urban water
supply system (UWSS) has been of vital importance to this process. This paper presents a …

Pipelines are widely used in the transportation of water, oil, gas, etc. Leakage in pipelines
leads to a great waste of natural resources and sometimes constitutes a public health risk …

Leakages are undesirable events in water distribution networks (WDNs) with mostly
unknown incident time making it extremely difficult to accurately label leaks in distribution …

In addition to the issues of water quality and economic losses, leakages in pipe networks are
a potential danger to public safety. Early detection of water leaks in pipe networks is crucial …

A reliable leak detection approach is necessary for reducing water loss caused by leakages.
Our research reviews the existing acoustic leak detection approaches, including devices for …

Water scarcity is a global concern; 68 countries are facing extremely-high to medium-high
risk of water stress. In this era of crisis, where water conservation is an absolute necessity …

Leakages from water pipelines cause economic losses and environmental hazards. Despite
the damages, it is challenging to avoid leaks throughout the lifetime. However, leak …

This paper presents an acoustic leak detection system for distribution water mains using
machine learning methods. The problem is formulated as a binary classifier to identify leak …