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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

A water quality model (WQM) is a tool used for the prediction of water quality in a water distribution network. Previous studies have proposed a variety of methods for computing WQMs. All of these are flow-based and thus require the use of a hydraulic model. The current paper proposes a new methodology for a WQM based on a statistical approach. The study suggests a methodology that predicts the change in both detention time and water quality between two locations in a branched network, without the use of a hydraulic model. The methodology was implemented at a large water utility and tested using real-time data. The model output was then examined and verified by conducting a statistical test to compare the detention time with that predicted using an existing hydraulic model. It was found that the proposed model can be effectively used as a WQM.

New approach for estimation of detention time and prediction of quality in water networks