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  • (-) Publication Year = 2006 - 2017
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Intra-EU agricultural trade, virtual water flows and policy implications
Antonelli, M., Tamea, S., & Yang, H. (2017). Intra-EU agricultural trade, virtual water flows and policy implications. Science of the Total Environment, 587-588, 439-448. https://doi.org/10.1016/j.scitotenv.2017.02.105
Water resources, food security and the role of virtual water trade in the MENA region
Antonelli, M., Laio, F., & Tamea, S. (2017). Water resources, food security and the role of virtual water trade in the MENA region. In M. Behnassi & K. McGlade (Eds.), Environmental change and human security in Africa and the Middle East (pp. 199-217). https://doi.org/10.1007/978-3-319-45648-5_11
A toolkit for climate change analysis and pattern recognition for extreme weather conditions – case study: California-Baja California Peninsula
Ashraf Vaghefi, S., Abbaspour, N., Kamali, B., & Abbaspour, K. C. (2017). A toolkit for climate change analysis and pattern recognition for extreme weather conditions – case study: California-Baja California Peninsula. Environmental Modelling and Software, 96, 181-198. https://doi.org/10.1016/j.envsoft.2017.06.033
Simulating flash floods at hourly time-step using the SWAT model
Boithias, L., Sauvage, S., Lenica, A., Roux, H., Abbaspour, K. C., Larnier, K., … Sánchez-Pérez, J. M. (2017). Simulating flash floods at hourly time-step using the SWAT model. Water, 9(12), 929 (25 pp.). https://doi.org/10.3390/w9120929
Appraisal of data-driven and mechanistic emulators of nonlinear simulators: the case of hydrodynamic urban drainage models
Carbajal, J. P., Leitão, J. P., Albert, C., & Rieckermann, J. (2017). Appraisal of data-driven and mechanistic emulators of nonlinear simulators: the case of hydrodynamic urban drainage models. Environmental Modelling and Software, 92, 17-27. https://doi.org/10.1016/j.envsoft.2017.02.006
Assessing the water-resources potential of Istanbul by using a soil and water assessment tool (SWAT) hydrological model
Cuceloglu, G., Abbaspour, K. C., & Ozturk, I. (2017). Assessing the water-resources potential of Istanbul by using a soil and water assessment tool (SWAT) hydrological model. Water, 9(10), 814 (18 pp.). https://doi.org/10.3390/w9100814
Using streamflow observations to estimate the impact of hydrological regimes and anthropogenic water use on European stream macroinvertebrate occurrences
Domisch, S., Portmann, F. T., Kuemmerlen, M., O'Hara, R. B., Johnson, R. K., Davy-Bowker, J., … Jähnig, S. C. (2017). Using streamflow observations to estimate the impact of hydrological regimes and anthropogenic water use on European stream macroinvertebrate occurrences. Ecohydrology, 10(8), e1895 (11 pp.). https://doi.org/10.1002/eco.1895
Uncertainty based assessment of dynamic freshwater scarcity in semi-arid watersheds of Alberta, Canada
Faramarzi, M., Abbaspour, K. C., Adamowicz, W. L. (V. ), Lu, W., Fennell, J., Zehnder, A. J. B., & Goss, G. G. (2017). Uncertainty based assessment of dynamic freshwater scarcity in semi-arid watersheds of Alberta, Canada. Journal of Hydrology: Regional Studies, 9, 48-68. https://doi.org/10.1016/j.ejrh.2016.11.003
Accounting for biotic interactions through alpha-diversity constraints in stacked species distribution models
Gavish, Y., Marsh, C. J., Kuemmerlen, M., Stoll, S., Haase, P., & Kunin, W. E. (2017). Accounting for biotic interactions through alpha-diversity constraints in stacked species distribution models. Methods in Ecology and Evolution, 8(9), 1092-1102. https://doi.org/10.1111/2041-210X.12731
Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model
Ghasemizade, M., Baroni, G., Abbaspour, K., & Schirmer, M. (2017). Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model. Environmental Modelling and Software, 88, 22-34. https://doi.org/10.1016/j.envsoft.2016.10.011
Hebbian learning clustering with Rulkov neurons
Held, J., Lorimer, T., Albert, C., & Stoop, R. (2017). Hebbian learning clustering with Rulkov neurons. In G. Mantica, R. Stoop, & S. Stramaglia (Eds.), Springer proceedings in physics: Vol. 191. Emergent complexity from nonlinearity, in physics, engineering and the life sciences (pp. 127-141). https://doi.org/10.1007/978-3-319-47810-4_11
Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?
Honti, M., Schuwirth, N., Rieckermann, J., & Stamm, C. (2017). Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development? Hydrology and Earth System Sciences, 21(3), 1593-1609. https://doi.org/10.5194/hess-21-1593-2017
Discharge permit market and farm management nexus: an approach for eutrophication control in small basins with low-income farmers
Imani, S., Niksokhan, M. H., Jamshidi, S., & Abbaspour, K. C. (2017). Discharge permit market and farm management nexus: an approach for eutrophication control in small basins with low-income farmers. Environmental Monitoring and Assessment, 189(7), 346 (14 pp.). https://doi.org/10.1007/s10661-017-6066-4
Assessing the uncertainty of multiple input datasets in the prediction of water resource components
Kamali, B., Abbaspour, K. C., & Yang, H. (2017). Assessing the uncertainty of multiple input datasets in the prediction of water resource components. Water, 9(9), 709 (16 pp.). https://doi.org/10.3390/w9090709
Multilevel drought hazard assessment under climate change scenarios in semi-arid regions-a case study of the Karkheh river basin in Iran
Kamali, B., Houshmand Kouchi, D., Yang, H., & Abbaspour, K. C. (2017). Multilevel drought hazard assessment under climate change scenarios in semi-arid regions-a case study of the Karkheh river basin in Iran. Water, 9(4), 241 (17 pp.). https://doi.org/10.3390/w9040241
Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method
Kattwinkel, M., & Reichert, P. (2017). Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method. Environmental Modelling and Software, 87, 110-119. https://doi.org/10.1016/j.envsoft.2016.11.001
Sensitivity of calibrated parameters and water resource estimates on different objective functions and optimization algorithms
Kouchi, D. H., Esmaili, K., Faridhosseini, A., Sanaeinejad, S. H., Khalili, D., & Abbaspour, K. C. (2017). Sensitivity of calibrated parameters and water resource estimates on different objective functions and optimization algorithms. Water, 9(6), 384 (16 pp.). https://doi.org/10.3390/w9060384
A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment
Lehmann, A., Guigoz, Y., Ray, N., Mancosu, E., Abbaspour, K. C., Rouholahnejad Freund, E., … Giuliani, G. (2017). A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment. Scientific Data, 4, 170087 (15 pp.). https://doi.org/10.1038/sdata.2017.87
Challenges in operationalizing the water–energy–food nexus
Liu, J., Yang, H., Cudennec, C., Gain, A. K., Hoff, H., Lawford, R., … Zheng, C. (2017). Challenges in operationalizing the water–energy–food nexus. Hydrological Sciences Journal, 62(11), 1714-1720. https://doi.org/10.1080/02626667.2017.1353695
Modelling global water–food–environment–trade nexus in the context of agricultural intensification
Liu, W. (2017). Modelling global water–food–environment–trade nexus in the context of agricultural intensification (Doctoral dissertation). https://doi.org/10.3929/ethz-b-000196019
 

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