DWES - Home

Editors-in-chief: Luuk Rietveld, Jan Peter van der Hoek &

Executive editors: Monique Bekkenutte, Bhekie Mamba, Atul Mittal, Ran Shang & Chang-Ping Yu

Drinking Water Engineering and Science (DWES) aims to be the leading scientific open-access journal for the publication of original research in drinking water treatment. The focus is on fundamental and applied research in water sources, substances, drinking water treatment processes, distribution systems, and residual management. DWES serves scientists from universities and research institutes and engineers from water supply companies and engineering consulting firms.

News

30 Jun 2020 Update of journal metrics

The journal metrics were updated and the current numbers are available from the metrics box on the left-hand side.

30 Jun 2020 Update of journal metrics

The journal metrics were updated and the current numbers are available from the metrics box on the left-hand side.

24 Jun 2019 Update of journal metrics

The journal metrics were updated and the current numbers are available from the metrics box on the left-hand side.

24 Jun 2019 Update of journal metrics

The journal metrics were updated and the current numbers are available from the metrics box on the left-hand side.

29 May 2019 Publish your video abstract

A video abstract is a short video statement providing authors with the opportunity to present background information about their findings and to showcase their research activities to a wider audience.

29 May 2019 Publish your video abstract

A video abstract is a short video statement providing authors with the opportunity to present background information about their findings and to showcase their research activities to a wider audience.

News archive

Recent papers

31 Mar 2021

Predicting turbidity and Aluminum in drinking water treatment plants using Hybrid Network (GA- ANN) and GEP

Ruba Alsaeed, Bassam Alaji, and Mazen Ebrahim

Drink. Water Eng. Sci. Discuss., https://doi.org/10.5194/dwes-2021-8,https://doi.org/10.5194/dwes-2021-8, 2021

Preprint under review for DWES (discussion: open, 12 comments)

Short summary

29 Mar 2021

Implementing and evaluating various machine learning models for pipe burst prediction

Ahmad Ravanbakhsh, Mehdi Momeni, and Amir Robati

Drink. Water Eng. Sci. Discuss., https://doi.org/10.5194/dwes-2021-7,https://doi.org/10.5194/dwes-2021-7, 2021