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A Bayesian approach for remote sensing of chlorophyll-<em>a</em> and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Werther, M., Odermatt, D., Simis, S. G. H., Gurlin, D., Lehmann, M. K., Kutser, T., … Spyrakos, E. (2022). A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes. Remote Sensing of Environment, 283, 113295 (27 pp.). https://doi.org/10.1016/j.rse.2022.113295
A comparison of techniques for the estimation of model prediction uncertainty
Omlin, M., & Reichert, P. (1999). A comparison of techniques for the estimation of model prediction uncertainty. Ecological Modelling, 115(1), 45-59. https://doi.org/10.1016/S0304-3800(98)00174-4
A formal framework for scenario development in support of environmental decision-making
Mahmoud, M., Liu, Y., Hartmann, H., Stewart, S., Wagener, T., Semmens, D., … Winter, L. (2009). A formal framework for scenario development in support of environmental decision-making. Environmental Modelling and Software, 24(7), 798-808. https://doi.org/10.1016/j.envsoft.2008.11.010
A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty
Zheng, J., Egger, C., & Lienert, J. (2016). A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty. Journal of Environmental Management, 183(3), 895-908. https://doi.org/10.1016/j.jenvman.2016.09.027
Accounting for erroneous model structures in biokinetic process models
Villez, K., Del Giudice, D., Neumann, M. B., & Rieckermann, J. (2020). Accounting for erroneous model structures in biokinetic process models. Reliability Engineering and System Safety, 203, 107075 (8 pp.). https://doi.org/10.1016/j.ress.2020.107075
Activated sludge modelling: past, present and future
Gujer, W. (2006). Activated sludge modelling: past, present and future. Water Science and Technology, 53(3), 111-119. https://doi.org/10.2166/wst.2006.082
Adaptation in hindsight: dynamics and drivers shaping urban wastewater systems
Neumann, M. B., Rieckermann, J., Hug, T., & Gujer, W. (2015). Adaptation in hindsight: dynamics and drivers shaping urban wastewater systems. Journal of Environmental Management, 151, 404-415. https://doi.org/10.1016/j.jenvman.2014.12.047
Addressing stakeholder concerns using the Integrative River Rehabilitation Model (IRRM)
Borsuk, M. E., Schweizer, S., & Reichert, P. (2008). Addressing stakeholder concerns using the Integrative River Rehabilitation Model (IRRM). In M. Sànchez-Marrè, J. Béjar, J. Comas, A. Rizzoli, & G. Guariso (Eds.), Vol. 2. Integrating sciences and information technology for environmental assessment and decision making. 4th biennial meeting of iEMSs (pp. 842-849).
An efficient monitoring concept with control charts for on-line sensors
Thomann, M., Rieger, L., Frommhold, S., Siegrist, H., & Gujer, W. (2002). An efficient monitoring concept with control charts for on-line sensors. Water Science and Technology, 46(4-5), 107-116. https://doi.org/10.2166/wst.2002.0563
An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple global precipitation products and hydrological models
Qi, W., Liu, J., Yang, H., & Sweetapple, C. (2018). An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple global precipitation products and hydrological models. Journal of Hydrology, 558, 405-420. https://doi.org/10.1016/j.jhydrol.2018.01.026
Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran
Akhavan, S., Abedi-Koupai, J., Mousavi, S. F., Afyuni, M., Eslamian, S. S., & Abbaspour, K. C. (2010). Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran. Agriculture, Ecosystems and Environment, 139(4), 675-688. https://doi.org/10.1016/j.agee.2010.10.015
Assessing the performance of international water management at Lake Titicaca
Rieckermann, J., Daebel, H., Ronteltap, M., & Bernauer, T. (2006). Assessing the performance of international water management at Lake Titicaca. Aquatic Sciences, 68(4), 502-516. https://doi.org/10.1007/s00027-006-0863-0
Assessing the performance of sewer rehabilitation on the reduction of infiltration and inflow
Staufer, P., Scheidegger, A., & Rieckermann, J. (2012). Assessing the performance of sewer rehabilitation on the reduction of infiltration and inflow. Water Research, 46(16), 5185-5196. https://doi.org/10.1016/j.watres.2012.07.001
Assessing wastewater dilution in small rivers with high resolution conductivity probes
Ort, C., & Siegrist, H. (2009). Assessing wastewater dilution in small rivers with high resolution conductivity probes. Water Science and Technology, 59(8), 1593-1601. https://doi.org/10.2166/wst.2009.174
Bridging the gap between theoretical ecology and real ecosystems: modeling invertebrate community composition in streams
Schuwirth, N., & Reichert, P. (2013). Bridging the gap between theoretical ecology and real ecosystems: modeling invertebrate community composition in streams. Ecology, 94(2), 368-379. https://doi.org/10.1890/12-0591.1
Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima
Fischer, M. (2015). Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima. Energy Policy, 86, 520-528. https://doi.org/10.1016/j.enpol.2015.08.007
Conceptual and practical aspects of quantifying uncertainty in environmental modelling and decision support
Reichert, P. (2012). Conceptual and practical aspects of quantifying uncertainty in environmental modelling and decision support. In R. Seppelt, A. A. Voinov, S. Lange, & D. Bankamp (Eds.), Proceedings of the 6th biennial meeting of the international environmental modelling and software society. Managing resources of a limited planet (pp. 1013-1020). International Environmental Modelling and Software Society.
Constructing, evaluating and visualizing value and utility functions for decision support
Reichert, P., Schuwirth, N., & Langhans, S. (2013). Constructing, evaluating and visualizing value and utility functions for decision support. Environmental Modelling and Software, 46, 283-291. https://doi.org/10.1016/j.envsoft.2013.01.017
Coping with complexity, uncertainty and ambiguity in risk governance: a synthesis
Renn, O., Klinke, A., & van Asselt, M. (2011). Coping with complexity, uncertainty and ambiguity in risk governance: a synthesis. Ambio, 40(2), 231-246. https://doi.org/10.1007/s13280-010-0134-0
Cost benefit risk – a concept for management of integrated urban wastewater systems?
Hauger, M. B., Rauch, W., Linde, J. J., & Mikkelsen, P. S. (2002). Cost benefit risk – a concept for management of integrated urban wastewater systems? Water Science and Technology, 45(3), 185-193. https://doi.org/10.2166/wst.2002.0078
 

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