The surface water quality monitoring network (WQMN) is crucial for effective water
environment management. How to design an optimal monitoring network is an important …

Multi-attribute decision-making (MADM) is an umbrella term to describe a series of
mathematical frameworks that, in essence, enable the decision-makers to evaluate the …

This study proposes an optimization framework based on a hybrid information-entropy
approach to identify leakage events in water distribution networks (WDN). Optimization …

The environmental impacts of road construction on the aquatic environment necessitate the
monitoring of receiving water quality. The main contribution of the paper is developing a …

Comprehensive river water quality monitoring and assessment helps to identify emerging
water quality problems as well as developing sustainable water management strategies to …

The present research focuses on addressing various ambiguities in the existing method of
integrating information entropy and water quality, thereby presenting a novel approach for …

Using unconventional water resources, such as treated wastewater (TWW), is an excellent
alternative to meet excess water demands. Policymakers should consider optimal and …

A new approach is presented based on the entropy theory to design an optimal groundwater
quality monitoring network. First, the unrecorded values of Total Dissolved Solids (TDS) are …

Given the hazardous effects of sudden dam reservoir contamination—as might occur upon
the intrusion of the fuel additive methyl tert-butyl ether (MTBE)—the contaminant's effect on …

This study presents a novel hybrid entropy-clustering framework for placing pressure
sensors in water distribution systems (WDS) to detect leakage. Leakages are simulated at all …