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A review of long-term pesticide monitoring studies to assess surface water quality trends
Chow, R., Scheidegger, R., Doppler, T., Dietzel, A., Fenicia, F., & Stamm, C. (2020). A review of long-term pesticide monitoring studies to assess surface water quality trends. Water Research X, 9, 100064 (13 pp.). https://doi.org/10.1016/j.wroa.2020.100064
Zukunftsfähige gewässerschonende landwirtschaftliche Produktion in der Schweiz. Schlussbericht zum Projekt AProWa
Dietzel, A., Zaffarano, P., & Stamm, C. (2015). Zukunftsfähige gewässerschonende landwirtschaftliche Produktion in der Schweiz. Schlussbericht zum Projekt AProWa. Eawag.
Modeling of contributing areas in small agricultural catchments
Dietzel, A. (2007). Modeling of contributing areas in small agricultural catchments [Master thesis].
Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model
Dietzel, A., & Reichert, P. (2012). Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model. Environmental Modelling and Software, 38(December), 129-146. https://doi.org/10.1016/j.envsoft.2012.05.007
Dealing with uncertainty and model structure deficits in long-term simulations of lake biogeochemistry
Dietzel, A. (2012). Dealing with uncertainty and model structure deficits in long-term simulations of lake biogeochemistry [Doctoral dissertation, ETH Zürich]. https://doi.org/10.3929/ethz-a-007591174
Effects of changes in the driving forces on water quality and plankton dynamics in three Swiss lakes - long-term simulations with BELAMO
Dietzel, A., Mieleitner, J., Kardaetz, S., & Reichert, P. (2013). Effects of changes in the driving forces on water quality and plankton dynamics in three Swiss lakes - long-term simulations with BELAMO. Freshwater Biology, 58(1), 10-35. https://doi.org/10.1111/fwb.12031
Using statistical bias description for multi-objective calibration of a lake water quality model
Dietzel, A., & Reichert, P. (2010). Using statistical bias description for multi-objective calibration of a lake water quality model. In D. A. Swayne, W. Yang, A. Voinov, A. Rizzoli, & T. Filatova (Eds.), Modelling for environment's sake. Proceedings of the fifth biennial conference of the international environmental modelling and software society. Volume 2 (pp. 1735-1744). International Environmental Modelling and Software Society.
Bayesian inference of a lake water quality model by emulating its posterior density
Dietzel, A., & Reichert, P. (2014). Bayesian inference of a lake water quality model by emulating its posterior density. Water Resources Research, 50(10), 7626-7647. https://doi.org/10.1002/2012WR013086
Transparenter Umgang mit Zielkonflikten für eine gewässerschonende Schweizer Landwirtschaft
Dietzel, A., Zaffarano, P., & Stamm, C. (2020). Transparenter Umgang mit Zielkonflikten für eine gewässerschonende Schweizer Landwirtschaft. Agrarforschung Schweiz, 11, 217-223. https://doi.org/10.34776/afs11-217
Predicting critical source areas for diffuse herbicide losses to surface waters: role of connectivity and boundary conditions
Frey, M. P., Schneider, M. K., Dietzel, A., Reichert, P., & Stamm, C. (2009). Predicting critical source areas for diffuse herbicide losses to surface waters: role of connectivity and boundary conditions. Journal of Hydrology, 365(1–2), 23-36. https://doi.org/10.1016/j.jhydrol.2008.11.015
Komplexe dynamische Seenmodelle
Rinke, K., Dietzel, A., Elliott, J. A., & Petzoldt, T. (2014). Komplexe dynamische Seenmodelle. In M. Hupfer, W. Calmano, H. Klapper, & R. D. Wilken (Eds.), Handbuch angewandte Limnologie. Grundlagen, Gewässerbelastung, Restaurierung, aquatische Ökotoxikologie, Bewertung, Gewässerschutz (p. III-5.2 (28 pp.). https://doi.org/10.1002/9783527678488.hbal2010003
The importance of biotic interactions for the prediction of macroinvertebrate communities under multiple stressors
Schuwirth, N., Dietzel, A., & Reichert, P. (2016). The importance of biotic interactions for the prediction of macroinvertebrate communities under multiple stressors. Functional Ecology, 30(6), 974-984. https://doi.org/10.1111/1365-2435.12605