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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
Transforming data into knowledge for improved wastewater treatment operation: a critical review of techniques
Corominas, L., Garrido-Baserba, M., Villez, K., Olsson, G., Cortés, U., & Poch, M. (2018). Transforming data into knowledge for improved wastewater treatment operation: a critical review of techniques. Environmental Modelling and Software, 106, 89-103. https://doi.org/10.1016/j.envsoft.2017.11.023
Energy and process data processing and visualisation for optimising wastewater treatment plants
Thürlimann, C. M., Dürrenmatt, D. J., & Villez, K. (2015). Energy and process data processing and visualisation for optimising wastewater treatment plants. Water Practice and Technology, 10(1), 10-18. https://doi.org/10.2166/wpt.2015.002
Rainfall estimation with telecommunication microwave links - influence of reference rainfall observations
Rieckermann, J., Fencl, M., & Bareš, V. (2012). Rainfall estimation with telecommunication microwave links - influence of reference rainfall observations. In P. Molnar, P. Burlando, & T. Einfalt (Eds.), Urban challenges in rainfall analysis (pp. 208-212). ETH Zurich.
Data reconciliation for wastewater treatment plant simulation studies-planning for high-quality data and typical sources of errors
Rieger, L., Takács, I., Villez, K., Siegrist, H., Lessard, P., Vanrolleghem, P. A., & Comeau, Y. (2010). Data reconciliation for wastewater treatment plant simulation studies-planning for high-quality data and typical sources of errors. Water Environment Research, 82(5), 426-433. https://doi.org/10.2175/106143009X12529484815511