Publications by authors named "Elad Salomons"

Water utilities facing increasingly complex infrastructure and operations stand to significantly benefit from artificial intelligence (AI). Current research in water distribution systems engineering primarily focuses on Specialized AI, which plays a crucial role in processing extensive datasets, identifying patterns, and extracting actionable insights to improve the resilience and efficiency of water utility operations. However, barriers of usability, accessibility, and trainability hinder broader adoption.

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Water distribution system contamination events caused by intentional, negligent, or accidental intrusion of biological, chemical, or radioactive contaminants have significant impacts on the health of the populations that it services. Therefore, it is important to have an effective plan that can be readily implemented to minimize the impact of these contamination events. However, limited research has been focused on strategic planning of the decontamination process of the contaminated infrastructure.

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In the past decades, bioassays and whole-organism bioassay have become important tools not only in compliance testing of industrial chemicals and plant protection products, but also in the monitoring of environmental quality. With few exceptions, such test systems are discontinuous. They require exposure of the biological test material in small units, such as multiwell plates, during prolonged incubation periods, and do not allow online read-outs.

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An effective biological early warning system for the detection of water contamination should employ undemanding species that rapidly react to the presence of contaminants in their environment. The demonstrated reaction should be comprehensible and unambiguously evidential of the contamination event. This study utilized 96h post fertilization zebrafish larvae and tested their behavioral response to acute exposure to low concentrations of cadmium chloride (CdCl2) (5.

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