Journal cover Journal topic
Drinking Water Engineering and Science An interactive open-access journal
Journal topic

Journal metrics

Journal metrics

  • CiteScore value: 1.37 CiteScore
    1.37
  • SNIP value: 1.693 SNIP 1.693
  • SJR value: 0.307 SJR 0.307
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 15 Scimago H
    index 15
Volume 7, issue 1
Drink. Water Eng. Sci., 7, 1-9, 2014
https://doi.org/10.5194/dwes-7-1-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: 5th International Desalination Workshop 2012

Drink. Water Eng. Sci., 7, 1-9, 2014
https://doi.org/10.5194/dwes-7-1-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  14 Jan 2014

14 Jan 2014

Development and evaluation of new behavioral indexes for a biological early warning system using Daphnia magna

T. Y. Jeong et al.
Related subject area  
Tools: Sensoring and monitoring
Real-time hydraulic interval state estimation for water transport networks: a case study
Stelios G. Vrachimis, Demetrios G. Eliades, and Marios M. Polycarpou
Drink. Water Eng. Sci., 11, 19-24, https://doi.org/10.5194/dwes-11-19-2018,https://doi.org/10.5194/dwes-11-19-2018, 2018
Short summary
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
Jyotirmoy Bhardwaj, Karunesh K. Gupta, and Rajiv Gupta
Drink. Water Eng. Sci., 11, 9-17, https://doi.org/10.5194/dwes-11-9-2018,https://doi.org/10.5194/dwes-11-9-2018, 2018
Short summary
Online total organic carbon (TOC) monitoring for water and wastewater treatment plants processes and operations optimization
Céline Assmann, Amanda Scott, and Dondra Biller
Drink. Water Eng. Sci., 10, 61-68, https://doi.org/10.5194/dwes-10-61-2017,https://doi.org/10.5194/dwes-10-61-2017, 2017
Short summary
Application of machine learning for real-time evaluation of salinity (or TDS) in drinking water using photonic sensors
Sandip Kumar Roy and Preeta Sharan
Drink. Water Eng. Sci., 9, 37-45, https://doi.org/10.5194/dwes-9-37-2016,https://doi.org/10.5194/dwes-9-37-2016, 2016
Short summary
Online data processing for proactive UK water distribution network operation
J. Machell, S. R. Mounce, B. Farley, and J. B. Boxall
Drink. Water Eng. Sci., 7, 23-33, https://doi.org/10.5194/dwes-7-23-2014,https://doi.org/10.5194/dwes-7-23-2014, 2014
Cited articles  
Baillieul, M. and Scheunders, P.: On-line determination of the velocity of simultaneously moving organisms by image analysis for the detection of sublethal toxicity, Water Res., 4, 1027–1034, 1998.
Baldwin, I. G., Harman, M. M. I., and Neville, D. A.: Performance characteristics of a fish monitor for detection of toxic substances, Water Res., 28, 2191–2199, 1994.
Benecke, G., Falke, W., and Schmidt, C.: Use of algal fluorescence for an automated biological monitoring system, Bull. Environ. Contam. Toxico., 28, 385–395, 1982.
Borcherding, J. and Jantz, B.: Valve movement response of the mussel Dreissena polymorpha – the influence of pH and turbidity on the acute toxicity of pentachlorophenol under laboratory and field conditions, Ecotoxicology, 6, 153–165, 1997.
Publications Copernicus
Special issue
Download
Citation
Share