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Characterizing long-term wear and tear of ion-selective pH sensors
Ohmura, K., Thürlimann, C. M., Kipf, M., Carbajal, J. P., & Villez, K. (2019). Characterizing long-term wear and tear of ion-selective pH sensors. Water Science and Technology, 80(3), 541-550. https://doi.org/10.2166/wst.2019.301
The future of WRRF modelling – outlook and challenges
Regmi, P., Stewart, H., Amerlinck, Y., Arnell, M., García, P. J., Johnson, B., … Rosso, D. (2019). The future of WRRF modelling – outlook and challenges. Water Science and Technology, 79(1), 3-14. https://doi.org/10.2166/wst.2018.498
A framework for good biofilm reactor modeling practice (GBRMP)
Rittmann, B. E., Boltz, J. P., Brockmann, D., Daigger, G. T., Morgenroth, E., Helleshøj Sørensen, K., … Vanrolleghem, P. A. (2018). A framework for good biofilm reactor modeling practice (GBRMP). Water Science and Technology, 77(5), 1149-1164. https://doi.org/10.2166/wst.2018.021
Biofilm carrier migration model describes reactor performance
Boltz, J. P., Johnson, B. R., Takács, I., Daigger, G. T., Morgenroth, E., Brockmann, D., … Derlon, N. (2017). Biofilm carrier migration model describes reactor performance. Water Science and Technology, 75(12), 2818-2828. https://doi.org/10.2166/wst.2017.160
From biofilm ecology to reactors: a focused review
Boltz, J. P., Smets, B. F., Rittmann, B. E., Van Loosdrecht, M. C. M., Morgenroth, E., & Daigger, G. T. (2017). From biofilm ecology to reactors: a focused review. Water Science and Technology, 75(8), 1753-1760. https://doi.org/10.2166/wst.2017.061
Impacts of onsite greywater reuse on wastewater systems
Penn, R., Schütze, M., Alex, J., & Friedler, E. (2017). Impacts of onsite greywater reuse on wastewater systems. Water Science and Technology, 75(8), 1862-1872. https://doi.org/10.2166/wst.2017.057
Operating a pilot-scale nitrification/distillation plant for complete nutrient recovery from urine
Fumasoli, A., Etter, B., Sterkele, B., Morgenroth, E., & Udert, K. M. (2016). Operating a pilot-scale nitrification/distillation plant for complete nutrient recovery from urine. Water Science and Technology, 73(1), 215-222. https://doi.org/10.2166/wst.2015.485
Thermodynamic modelling of a membrane distillation crystallisation process for the treatment of mining wastewater
Nathoo, J., & Randall, D. G. (2016). Thermodynamic modelling of a membrane distillation crystallisation process for the treatment of mining wastewater. Water Science and Technology, 73(3), 557-563. https://doi.org/10.2166/wst.2015.515
Commercial microwave links instead of rain gauges: fiction or reality?
Fencl, M., Rieckermann, J., Sýkora, P., Stránský, D., & Bareš, V. (2015). Commercial microwave links instead of rain gauges: fiction or reality? Water Science and Technology, 71(1), 31-37. https://doi.org/10.2166/wst.2014.466
Assessing antibiotic resistance of microorganisms in sanitary sewage
Kaeseberg, T., Blumensaat, F., Zhang, J., & Krebs, P. (2015). Assessing antibiotic resistance of microorganisms in sanitary sewage. Water Science and Technology, 71(2), 168-173. https://doi.org/10.2166/wst.2014.467
Considering microbial and aggregate heterogeneity in biofilm reactor models: how far do we need to go?
Vannecke, T. P. W., Wells, G., Hubaux, N., Morgenroth, E., & Volcke, E. I. P. (2015). Considering microbial and aggregate heterogeneity in biofilm reactor models: how far do we need to go? Water Science and Technology, 72(10), 1692-1699. https://doi.org/10.2166/wst.2015.389
Advanced characterization of algogenic organic matter, bacterial organic matter, humic acids and fulvic acids
Chon, K., Cho, J., & Shon, H. K. (2013). Advanced characterization of algogenic organic matter, bacterial organic matter, humic acids and fulvic acids. Water Science and Technology, 67(10), 2228-2235. https://doi.org/10.2166/wst.2013.118
Rethinking wastewater characterisation methods for activated sludge systems - a position paper
Choubert, J. M., Rieger, L., Shaw, A., Copp, J., Spérandio, M., Sørensen, K., … Gillot, S. (2013). Rethinking wastewater characterisation methods for activated sludge systems - a position paper. Water Science and Technology, 67(11), 2363-2373. https://doi.org/10.2166/wst.2013.158
Perspectives on modelling micropollutants in wastewater treatment plants
Clouzot, L., Choubert, J. M., Cloutier, F., Goel, R., Love, N. G., Melcer, H., … Vanrolleghem, P. A. (2013). Perspectives on modelling micropollutants in wastewater treatment plants. Water Science and Technology, 68(2), 448-461. https://doi.org/10.2166/wst.2013.272
Institutional trajectory for diffusing on-site wastewater treatment in urban China
Li, L., Binz, C., Lu, Y., Truffer, B., & Shi, Y. (2013). Institutional trajectory for diffusing on-site wastewater treatment in urban China. Water Science and Technology, 68(5), 1180-1187. https://doi.org/10.2166/wst.2013.328
Modelling micro-pollutant fate in wastewater collection and treatment systems: status and challenges
Plósz, B. G., Benedetti, L., Daigger, G. T., Langford, K. H., Larsen, H. F., Monteith, H., … Vanrolleghem, P. A. (2013). Modelling micro-pollutant fate in wastewater collection and treatment systems: status and challenges. Water Science and Technology, 67(1), 1-15. https://doi.org/10.2166/wst.2012.562
Water quality-based assessment of urban drainage impacts in Europe - where do we stand today?
Blumensaat, F., Staufer, P., Heusch, S., Reußner, F., Schütze, M., Seiffert, S., … Rieckermann, J. (2012). Water quality-based assessment of urban drainage impacts in Europe - where do we stand today? Water Science and Technology, 66(2), 304-313. https://doi.org/10.2166/wst.2012.178
Removal of micropollutants in municipal wastewater treatment plants by powder-activated carbon
Boehler, M., Zwickenpflug, B., Hollender, J., Ternes, T., Joss, A., & Siegrist, H. (2012). Removal of micropollutants in municipal wastewater treatment plants by powder-activated carbon. Water Science and Technology, 66(10), 2115-2121. https://doi.org/10.2166/wst.2012.353
Automatic reactor model synthesis with genetic programming
Dürrenmatt, D. J., & Gujer, W. (2012). Automatic reactor model synthesis with genetic programming. Water Science and Technology, 65(4), 765-772. https://doi.org/10.2166/wst.2012.913
Stochastic modeling to identify requirements for centralized monitoring of distributed wastewater treatment
Hug, T., & Maurer, M. (2012). Stochastic modeling to identify requirements for centralized monitoring of distributed wastewater treatment. Water Science and Technology, 65(6), 1067-1075. https://doi.org/10.2166/wst.2012.945
 

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