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Hydropower operations modulate sensitivity to meteorological forcing in a high altitude reservoir
Guénand, Y., Perga, M. E., Chanudet, V., & Bouffard, D. (2020). Hydropower operations modulate sensitivity to meteorological forcing in a high altitude reservoir. Aquatic Sciences, 82(3), 60 (13 pp.). https://doi.org/10.1007/s00027-020-00734-y
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
Nagel, J. B., Rieckermann, J., & Sudret, B. (2020). Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation. Reliability Engineering and System Safety, 195, 106737 (16 pp.). https://doi.org/10.1016/j.ress.2019.106737
Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments
Naves, J., Rieckermann, J., Cea, L., Puertas, J., & Anta, J. (2020). Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments. Science of the Total Environment, 709, 136152 (15 pp.). https://doi.org/10.1016/j.scitotenv.2019.136152
Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices
Zhou, L., Meng, Y., Vaghefi, S. A., Marras, P. A., Sui, C., Lu, C., & Abbaspour, K. C. (2020). Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices. Journal of Hydrology, 584, 124699 (12 pp.). https://doi.org/10.1016/j.jhydrol.2020.124699
A guideline for successful calibration and uncertainty analysis for soil and water assessment: A review of papers from the 2016 international SWAT conference
Abbaspour, K. C., Vaghefi, S. A., & Srinivasan, R. (2018). A guideline for successful calibration and uncertainty analysis for soil and water assessment: A review of papers from the 2016 international SWAT conference. Water, 10(1), 6 (18 pp.). https://doi.org/10.3390/w10010006
Towards advanced retrievals of plant transpiration using sun-induced chlorophyll fluorescence: first considerations
Damm, A., Roethlin, S., & Fritsche, L. (2018). Towards advanced retrievals of plant transpiration using sun-induced chlorophyll fluorescence: first considerations. In Observing, understandig and forecasting the dynamics of our planet (pp. 5983-5986). https://doi.org/10.1109/IGARSS.2018.8518974
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
Hydrologic analysis of a tropical watershed using KINEROS2
Memarian, H., Balasundram, S. K., Talib, J., Sung, C. T. B., Sood, A. M., Abbaspour, K. C., & Haghizadeh, A. (2012). Hydrologic analysis of a tropical watershed using KINEROS2. EnvironmentAsia, 5(1), 84-93. https://doi.org/10.14456/ea.2012.11
Methodological aspects of multi-criteria decision analysis for policy support: a case study on pharmaceutical removal from hospital wastewater
Schuwirth, N., Reichert, P., & Lienert, J. (2012). Methodological aspects of multi-criteria decision analysis for policy support: a case study on pharmaceutical removal from hospital wastewater. European Journal of Operational Research, 220(2), 472-483. https://doi.org/10.1016/j.ejor.2012.01.055
Mechanism-based emulation of dynamic simulation models: concept and application in hydrology
Reichert, P., White, G., Bayarri, M. J., & Pitman, E. B. (2011). Mechanism-based emulation of dynamic simulation models: concept and application in hydrology. Computational Statistics and Data Analysis, 55(4), 1638-1655. https://doi.org/10.1016/j.csda.2010.10.011
Development of a mechanistic model (ERIMO-I) for analyzing the temporal dynamics of the benthic community of an intermittent Mediterranean stream
Schuwirth, N., Acuña, V., & Reichert, P. (2011). Development of a mechanistic model (ERIMO-I) for analyzing the temporal dynamics of the benthic community of an intermittent Mediterranean stream. Ecological Modelling, 222(1), 91-104. https://doi.org/10.1016/j.ecolmodel.2010.09.013
Global sensitivity analysis for model-based prediction of oxidative micropollutant transformation during drinking water treatment
Neumann, M. B., Gujer, W., & von Gunten, U. (2009). Global sensitivity analysis for model-based prediction of oxidative micropollutant transformation during drinking water treatment. Water Research, 43(4), 997-1004. https://doi.org/10.1016/j.watres.2008.11.049
ECOBAS - a tool to develop ecosystem models exemplified by the shallow lake model EMMO
Strube, T., Benz, J., Kardaetz, S., & Brüggemann, R. (2008). ECOBAS - a tool to develop ecosystem models exemplified by the shallow lake model EMMO. Ecological Informatics, 3(2), 154-169. https://doi.org/10.1016/j.ecoinf.2008.01.003
Analysis of the transferability of a biogeochemical lake model to lakes of different trophic state
Mieleitner, J., & Reichert, P. (2006). Analysis of the transferability of a biogeochemical lake model to lakes of different trophic state. Ecological Modelling, 194(1-3), 49-61. https://doi.org/10.1016/j.ecolmodel.2005.10.039
A standard interface between simulation programs and systems analysis software
Reichert, P. (2006). A standard interface between simulation programs and systems analysis software. Water Science and Technology, 53(1), 267-275. https://doi.org/10.2166/wst.2006.029
Uncertainty in predicting riverbed erosion caused by urban stormwater discharge
Daebel, H., & Gujer, W. (2005). Uncertainty in predicting riverbed erosion caused by urban stormwater discharge. Water Science and Technology, 52(5), 77-85. https://doi.org/10.2166/wst.2005.0113
Calibration and validation of an ASM3-based steady-state model for activated sludge systems—part II: prediction of phosphorus removal
Koch, G., Kühni, M., Rieger, L., & Siegrist, H. (2001). Calibration and validation of an ASM3-based steady-state model for activated sludge systems—part II: prediction of phosphorus removal. Water Research, 35(9), 2246-2255. https://doi.org/10.1016/S0043-1354(00)00515-7
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
Identifiability and uncertainty analysis of the River Water Quality Model No. 1 (RWQM1)
Reichert, P., & Vanrolleghem, P. (2001). Identifiability and uncertainty analysis of the River Water Quality Model No. 1 (RWQM1). Water Science and Technology, 43(7), 329-338. https://doi.org/10.2166/wst.2001.0442
First-order sensitivity analysis of models with time-dependent parameters: an application to PAN and ozone
Seefeld, S., & Stockwell, W. R. (1999). First-order sensitivity analysis of models with time-dependent parameters: an application to PAN and ozone. Atmospheric Environment, 33(18), 2941-2953. https://doi.org/10.1016/S1352-2310(99)00092-8