Department Systems Analysis, Integrated Assessment and Modelling

Systems Analysis and Water Management


The group „Systems Analysis and Water Management“ contributes in the following areas to the development and improvement of methods and models for the analysis of aquatic systems and societal decision making:

Environmental Modelling and Systems Analysis Methodology

Development of techniques for model-based statistical inference of environmental systems that account for the need of using prior information, input and model structure uncertainty, and intrinsic stochasticity.

5 key contributions in this field:

  • Reichert, P. and Schuwirth, N. Linking statistical description of bias to multi-objective model calibration. Water Resources Research, 48, W09543, 2012.
  • Reichert, P., White, G., Bayarri, M.J. and Pitman, E.B., Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology. Computational Statistics and Data Analysis, 55, 1638–1655, 2011.
  • Reichert, P., and Mieleitner, J., Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters, Water Resources Research, 45, W10402, doi:10.1029/2009WR007814, 2009.
  • Yang, J., Reichert, P., Abbaspour, K.C. and Yang, H., Hydrological modelling of the Chaohe Basin in China: Statistical model formulatioon and Bayesian inference, Journal of Hydrology 340, 167-182, 2007.
  • Brun, R., Reichert, P. and Künsch, H.R., Practical identifiability analysis of large environmental simulation models, Water Resources Research 37(4), 1015-1030, 2001.

Biogeochemical and Ecological Modelling

Development and application of hydrological, biogeochemical and ecological models of river and lake systems.

5 key contributions in this field:

  • Schuwirth, N. and Reichert, P. Bridging the gap between theoretical ecology and real ecosystems: modeling invertebrate community composition in streams, Ecology 94(2), 368-379, 2013.
  • Reichert, P. and Schuwirth, N., A generic framework for deriving process stoichiometry in environmental models, Environmental Modelling & Software, 25, 1241-1251, 2010.
  • Reichert, P., Uehlinger, U. and Acuña V., Estimating stream metabolism from oxygen concentrations: The effect of spatial heterogeneity, Journal of Geophysical Research 114, G03016, doi:10.1029/2008JG000917, 2009.
  • Reichert, P., Borchardt, D., Henze, M., Rauch, W., Shanahan, P., Somlyódy, L. and Vanrolleghem, P., River Water Quality Model no. 1 (RWQM1): II. Biochemical process equations, Water Sci. Tech. 43(5), 11-30, 2001.
  • Omlin, M., Reichert, P. and Forster, R., Biogeochemical model of lake Zürich: Model equations and results, Ecological Modelling 141(1-3), 77-103, 2001.

Environmental Decision Support

Design of models and decision analytical procedures for use of scientific knowledge and societal valuation in environmental decision support.

5 key contributions in this field:

The group is also active in the support of people from other Eawag departments in the application of systems analytical techniques and modelling and in teaching at ETH Zurich.


Prof. Dr. Peter ReichertGroup leader "Systems analysis and water management"Tel. +41 58 765 5281Send Mail
Dr. Gian Marco PalamaraResearcherTel. +41 58 765 6889Send Mail
Ruth ScheideggerTel. +41 58 765 5502Send Mail
Dr. Ambuj SriwastavaTel. +41 58 765 6763Send Mail


Prof. Dr. Peter ReichertGroup leader "Systems analysis and water management"Tel. +41 58 765 5281Send Mail


Decision support for river management by combining the prediction of effects of suggested measures with quantified societal goals.
Understanding trout meta-populations in river networks and predicting the effects of habitat restoration measures.
Development of unified ecological assessment procedures for river management.