Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wim A. Oorthuizen"'
Autor:
Fabienne Battaglia-Brunet, Arslan Ahmad, Prosun Bhattacharya, Wim A. Oorthuizen, Albert van der Wal, Leo Heijnen, Brent Pieterse, Luuk de Waal
Publikováno v:
Water Research
Water Research, IWA Publishing, 2020, 178, pp.115826. ⟨10.1016/j.watres.2020.115826⟩
Water Research 178 (2020)
Water Research, 178
Water Research, IWA Publishing, 2020, 178, pp.115826. ⟨10.1016/j.watres.2020.115826⟩
Water Research 178 (2020)
Water Research, 178
In this study we investigate opportunities for reducing arsenic (As) to low levels, below 1 μg/L in produced drinking water from artificially infiltrated groundwater. We observe that rapid sand filtration is the most important treatment step for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d4b4ea4aaf46ee4ac2d94a1516b229
https://hal-brgm.archives-ouvertes.fr/hal-02911830
https://hal-brgm.archives-ouvertes.fr/hal-02911830
Autor:
Wim A. Oorthuizen, D.J.H. Harmsen, Andrea M. Brunner, Annemieke Kolkman, Thomas L. ter Laak, Milou M.L. Dingemans, Bram J. Martijn, W.G. Siegers, C. Bertelkamp, B.A. Wols
Publikováno v:
Science of The Total Environment. 705:135779
The ever-increasing production and use of chemicals lead to the occurrence of organic micro-pollutants (OMPs) in drinking water sources, and consequently the need for their removal during drinking water treatment. Due to the sheer number of OMPs, mon
Autor:
Jack Schijven, Wim A. Oorthuizen, Michel Colin, W.A.M. Hijnen, Gerhard Wubbels, Harold H. J. L. van den Berg, Alexandra Magic-Knezev, Yolanda Dullemont
Publikováno v:
Water Research. 65:425-427
Autor:
W.A.M. Hijnen, Alexandra Magic-Knezev, Yolanda Dullemont, Wim A. Oorthuizen, Michel Colin, Jack Schijven, Harold H.J.L. van den Berg, Gerhard Wubbels
Publikováno v:
Water Research, 47(7), 2592. Elsevier
Slow sand filtration (SSF) in drinking water production removes pathogenic microorganisms, but detection limits and variable operational conditions complicate assessment of removal efficiency. Therefore, a model was developed to predict removal of hu