English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Drinking water for human health and well-being is crucial. Accidental andintentional water contamination can pose great danger to consumers. Optimaldesign of a system that can quickly detect the presence of contamination in awater distribution network is very challenging for technical and operationalreasons. However, on the one hand improvement in chemical and biological sensortechnology has created the possibility of designing efficient contaminationdetection systems. On the other hand, methods and tools from complex networktheory, which was primarily the domain of mathematicians and physicists,provide analytical output for engineers to design, optimize, operate, andmaintain complex network systems such as power grids, water distributionnetworks, telecommunication systems, internet, roads, supply chains, trafficand transportation systems. In this work, we develop a new modeling approachfor the optimal placement of sensors for contamination detection in a waterdistribution network. The approach originally combines classical optimizationand complex systems theory.

A complex network theory approach for optimizing contamination warning sensor location in water distribution networks