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

  • CiteScore value: 1.08 CiteScore 1.08
  • SNIP value: 0.624 SNIP 0.624
  • SJR value: 0.278 SJR 0.278
  • IPP value: 1.09 IPP 1.09
  • Scimago H index value: 14 Scimago H index 14

Volume 11, issue 1

Volume 11, issue 1

29 Jan 2018
Optimum coagulant forecasting by modeling jar test experiments using ANNs
Sadaf Haghiri, Amin Daghighi, and Sina Moharramzadeh
Drink. Water Eng. Sci., 11, 1-8, https://doi.org/10.5194/dwes-11-1-2018,https://doi.org/10.5194/dwes-11-1-2018, 2018
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05 Feb 2018
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
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08 Mar 2018
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
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06 Apr 2018
Mass imbalances in EPANET water-quality simulations
Michael J. Davis, Robert Janke, and Thomas N. Taxon
Drink. Water Eng. Sci., 11, 25-47, https://doi.org/10.5194/dwes-11-25-2018,https://doi.org/10.5194/dwes-11-25-2018, 2018
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02 May 2018
The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies
Michael J. Davis and Robert Janke
Drink. Water Eng. Sci., 11, 49-65, https://doi.org/10.5194/dwes-11-49-2018,https://doi.org/10.5194/dwes-11-49-2018, 2018
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15 May 2018
Algorithms for optimization of branching gravity-driven water networks
Ian Dardani and Gerard F. Jones
Drink. Water Eng. Sci., 11, 67-85, https://doi.org/10.5194/dwes-11-67-2018,https://doi.org/10.5194/dwes-11-67-2018, 2018
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