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  • (-) Eawag Departments = Systems Analysis, Integrated Assessment and Modelling SIAM
  • (-) Publication Year = 2006 - 2018
  • (-) Eawag Authors ≠ Maurer, Max
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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
Epistemological dimensions of the water–energy–food nexus approach: reply to discussions of "Challenges in operationalizing the water–energy–food nexus"
Cudennec, C., Liu, J., Qi, J., Yang, H., Zheng, C., Gain, A. K., … Yillia, P. T. (2018). Epistemological dimensions of the water–energy–food nexus approach: reply to discussions of "Challenges in operationalizing the water–energy–food nexus". Hydrological Sciences Journal, 63(12), 1868-1871. https://doi.org/10.1080/02626667.2018.1545097
Signature-domain calibration of hydrological models using Approximate Bayesian Computation: empirical analysis of fundamental properties
Fenicia, F., Kavetski, D., Reichert, P., & Albert, C. (2018). Signature-domain calibration of hydrological models using Approximate Bayesian Computation: empirical analysis of fundamental properties. Water Resources Research, 54(6), 3958-3987. https://doi.org/10.1002/2017WR021616
Misfit between physical affectedness and regulatory embeddedness: the case of drinking water supply along the Rhine River
Ingold, K., Moser, A., Metz, F., Herzog, L., Bader, H. P., Scheidegger, R., & Stamm, C. (2018). Misfit between physical affectedness and regulatory embeddedness: the case of drinking water supply along the Rhine River. Global Environmental Change, 48, 136-150. https://doi.org/10.1016/j.gloenvcha.2017.11.006
Data descriptor: a high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model
Irving, K., Kuemmerlen, M., Kiesel, J., Kakouei, K., Domisch, S., & Jähnig, S. C. (2018). Data descriptor: a high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model. Scientific Data, 5, 180224 (14 pp.). https://doi.org/10.1038/sdata.2018.224
Effects of changing climate on European stream invertebrate communities: a long-term data analysis
Jourdan, J., O'Hara, R. B., Bottarin, R., Huttunen, K. L., Kuemmerlen, M., Monteith, D., … Haase, P. (2018). Effects of changing climate on European stream invertebrate communities: a long-term data analysis. Science of the Total Environment, 621, 588-599. https://doi.org/10.1016/j.scitotenv.2017.11.242
Application of a spatially explicit biophysical crop model to assess drought impacts on crop yield and crop-drought vulnerability in Sub-Saharan Africa
Kamali, B. (2018). Application of a spatially explicit biophysical crop model to assess drought impacts on crop yield and crop-drought vulnerability in Sub-Saharan Africa [Doctoral dissertation, ETH Zurich]. https://doi.org/10.3929/ethz-b-000263959
Drought vulnerability assessment of maize in Sub-Saharan Africa: insights from physical and social perspectives
Kamali, B., Abbaspour, K. C., Wehrli, B., & Yang, H. (2018). Drought vulnerability assessment of maize in Sub-Saharan Africa: insights from physical and social perspectives. Global and Planetary Change, 162, 266-274. https://doi.org/10.1016/j.gloplacha.2018.01.011
Spatial assessment of maize physical drought vulnerability in Sub-Saharan Africa: linking drought exposure with crop failure
Kamali, B., Abbaspour, K. C., Lehmann, A., Wehrli, B., & Yang, H. (2018). Spatial assessment of maize physical drought vulnerability in Sub-Saharan Africa: linking drought exposure with crop failure. Environmental Research Letters, 13(7), 074010 (13 pp.). https://doi.org/10.1088/1748-9326/aacb37
Uncertainty-based auto-calibration for crop yield – the EPIC<sup>+</sup> procedure for a case study in Sub-Saharan Africa
Kamali, B., Abbaspour, K. C., Lehmann, A., Wehrli, B., & Yang, H. (2018). Uncertainty-based auto-calibration for crop yield – the EPIC+ procedure for a case study in Sub-Saharan Africa. European Journal of Agronomy, 93, 57-72. https://doi.org/10.1016/j.eja.2017.10.012
Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications
Kavetski, D., Fenicia, F., Reichert, P., & Albert, C. (2018). Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications. Water Resources Research, 54(6), 4059-4083. https://doi.org/10.1002/2017WR020528
Methoden zur Untersuchung und Beurteilung der Fliessgewässer. Makrophyten - Stufe F (flächendeckend) und Stufe S (systembezogen). <em>Entwurf zur Vernehmlassung</em>
Känel, B., Michel, C., & Reichert, P. (2018). Methoden zur Untersuchung und Beurteilung der Fliessgewässer. Makrophyten - Stufe F (flächendeckend) und Stufe S (systembezogen). Entwurf zur Vernehmlassung. Umwelt-Vollzug. Bern: Bundesamt für Umwelt, BAFU.
Impacts of land-use and land-cover changes on water yield: a case study in Jing-Jin-Ji, China
Li, S., Yang, H., Lacayo, M., Liu, J., & Lei, G. (2018). Impacts of land-use and land-cover changes on water yield: a case study in Jing-Jin-Ji, China. Sustainability, 10(4), 960 (16 pp.). https://doi.org/10.3390/su10040960
Towards ecological-economic integrity in the Jing-Jin-Ji regional development in China
Li, S., Yang, H., Liu, J., & Lei, G. (2018). Towards ecological-economic integrity in the Jing-Jin-Ji regional development in China. Water, 10(11), 1653 (18 pp.). https://doi.org/10.3390/w10111653
Achieving high crop yields with low nitrogen emissions in global agricultural input intensification
Liu, W., Yang, H., Folberth, C., Müller, C., Ciais, P., Abbaspour, K. C., & Schulin, R. (2018). Achieving high crop yields with low nitrogen emissions in global agricultural input intensification. Environmental Science and Technology, 52(23), 13782-13791. https://doi.org/10.1021/acs.est.8b03610
Assessing China's "developing a water-saving society" policy at a river basin level: a structural decomposition analysis approach
Liu, J., Zhao, X., Yang, H., Liu, Q., Xiao, H., & Cheng, G. (2018). Assessing China's "developing a water-saving society" policy at a river basin level: a structural decomposition analysis approach. Journal of Cleaner Production, 190, 799-808. https://doi.org/10.1016/j.jclepro.2018.04.194
Integrative crop-soil-management modeling to assess global phosphorus losses from major crop cultivations
Liu, W., Yang, H., Ciais, P., Stamm, C., Zhao, X., Williams, J. R., … Schulin, R. (2018). Integrative crop-soil-management modeling to assess global phosphorus losses from major crop cultivations. Global Biogeochemical Cycles, 32(7), 1074-1086. https://doi.org/10.1029/2017GB005849
Water resources conservation and nitrogen pollution reduction under global food trade and agricultural intensification
Liu, W., Yang, H., Liu, Y., Kummu, M., Hoekstra, A. Y., Liu, J., & Schulin, R. (2018). Water resources conservation and nitrogen pollution reduction under global food trade and agricultural intensification. Science of the Total Environment, 633, 1591-1601. https://doi.org/10.1016/j.scitotenv.2018.03.306
Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator
Machac, D., Reichert, P., Rieckermann, J., Del Giudice, D., & Albert, C. (2018). Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. Environmental Modelling and Software, 109, 66-79. https://doi.org/10.1016/j.envsoft.2018.07.016
Mitigation potential of sanitation infrastructure on groundwater contamination by nitrate in Maputo
Marques Arsénio, A., Câmara Salim, I., Hu, M., Matsinhe, N. P., Scheidegger, R., & Rietveld, L. (2018). Mitigation potential of sanitation infrastructure on groundwater contamination by nitrate in Maputo. Sustainability, 10(3), 858 (18 pp.). https://doi.org/10.3390/su10030858
 

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