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Learning from data: parameter identification in the context of large environmental simulation models
Brun, R. (2002). Learning from data: parameter identification in the context of large environmental simulation models [Doctoral dissertation]. ETH Zürich.
Practical identifiability of ASM2d parameters - systematic selection and tuning of parameter subsets
Brun, R., Kühni, M., Siegrist, H., Gujer, W., & Reichert, P. (2002). Practical identifiability of ASM2d parameters - systematic selection and tuning of parameter subsets. Water Research, 36, 4113-4127. https://doi.org/10.1016/S0043-1354(02)00104-5
Practical identifiability analysis of large environmental simulation models
Brun, R., Reichert, P., & Künsch, H. R. (2001). Practical identifiability analysis of large environmental simulation models. Water Resources Research, 37(4), 1015-1030. https://doi.org/10.1029/2000wr900350
Biogeochemical model of Lake Zürich: sensitivity, identifiability and uncertainty analysis
Omlin, M., Brun, R., & Reichert, P. (2001). Biogeochemical model of Lake Zürich: sensitivity, identifiability and uncertainty analysis. Ecological Modelling, 141(1-3), 105-123. https://doi.org/10.1016/S0304-3800(01)00257-5
Microbial competition for the organic substrates and its impact on EBPR systems under conditions of changing carbon feed
Carucci, A., Kühni, M., Brun, R., Carucci, G., Koch, G., Majone, M., & Siegrist, H. (1999). Microbial competition for the organic substrates and its impact on EBPR systems under conditions of changing carbon feed. Water Science and Technology, 39(1), 75-85. https://doi.org/10.2166/wst.1999.0017