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Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology
Wani, O., Scheidegger, A., Cecinati, F., Espadas, G., & Rieckermann, J. (2019). Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology. Journal of Hydrology, 575, 1031-1040. https://doi.org/10.1016/j.jhydrol.2019.06.006
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
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
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
Integrating ecological theories and traits in process-based modeling of macroinvertebrate community dynamics in streams
Mondy, C. P., & Schuwirth, N. (2017). Integrating ecological theories and traits in process-based modeling of macroinvertebrate community dynamics in streams. Ecological Applications, 27(4), 1365-1377. https://doi.org/10.1002/eap.1530
Modeling crop water productivity using a coupled SWAT–MODSIM model
Vaghefi, S. A., Abbaspour, K. C., Faramarzi, M., Srinivasan, R., & Arnold, J. G. (2017). Modeling crop water productivity using a coupled SWAT–MODSIM model. Water, 9(3), 1-15. https://doi.org/10.3390/w9030157
The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration
Sikorska, A. E., Del Giudice, D., Banasik, K., & Rieckermann, J. (2015). The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration. Journal of Hydrology, 530, 241-254. https://doi.org/10.1016/j.jhydrol.2015.09.051
Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis
Zuo, D., Xu, Z., Peng, D., Song, J., Cheng, L., Wei, S., … Yang, H. (2015). Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis. Hydrological Processes, 29(8), 1942-1955. https://doi.org/10.1002/hyp.10307
SWAT-based hydrological modelling of tropical land-use scenarios
Memarian, H., Balasundram, S. K., Abbaspour, K. C., Talib, J. B., Boon Sung, C. T., & Sood, A. M. (2014). SWAT-based hydrological modelling of tropical land-use scenarios. Hydrological Sciences Journal, 59(10), 1808-1829. https://doi.org/10.1080/02626667.2014.892598
Water quality-based assessment of urban drainage impacts in Europe - where do we stand today?
Blumensaat, F., Staufer, P., Heusch, S., Reußner, F., Schütze, M., Seiffert, S., … Rieckermann, J. (2012). Water quality-based assessment of urban drainage impacts in Europe - where do we stand today? Water Science and Technology, 66(2), 304-313. https://doi.org/10.2166/wst.2012.178
A Bayesian network model for integrative river rehabilitation planning and management
Borsuk, M. E., Schweizer, S., & Reichert, P. (2012). A Bayesian network model for integrative river rehabilitation planning and management. Integrated Environmental Assessment and Management, 8(3), 462-472. https://doi.org/10.1002/ieam.233
Comparison of sensitivity analysis methods for pollutant degradation modelling: a case study from drinking water treatment
Neumann, M. B. (2012). Comparison of sensitivity analysis methods for pollutant degradation modelling: a case study from drinking water treatment. Science of the Total Environment, 433, 530-537. https://doi.org/10.1016/j.scitotenv.2012.06.026
Modelling blue and green water resources availability in Iran
Faramarzi, M., Abbaspour, K. C., Schulin, R., & Yang, H. (2009). Modelling blue and green water resources availability in Iran. Hydrological Processes, 23(3), 486-501. https://doi.org/10.1002/hyp.7160
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
The effectiveness of reminders: testing the adequacy of a prospective-memory model based on dynamic field data
Tobias, R., & Buchsbaum, T. (2009). The effectiveness of reminders: testing the adequacy of a prospective-memory model based on dynamic field data. In B. Edmonds & N. Gilbert (Eds.), Conference proceedings. The 6th conference of the European social simulation association (p. (12 pp.). Guildford, UK.
Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran
Rostamian, R., Jaleh, A., Afyuni, M., Mousavi, S. F., Heidarpour, M., Jalalian, A., & Abbaspour, K. C. (2008). Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrological Sciences Journal, 53(5), 977-988. https://doi.org/10.1623/hysj.53.5.977
Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China
Yang, J., Reichert, P., Abbaspour, K. C., Xia, J., & Yang, H. (2008). Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. Journal of Hydrology, 358(1–2), 1-23. https://doi.org/10.1016/j.jhydrol.2008.05.012
Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT
Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., … Srinivasan, R. (2007). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333(2–4), 413-430. https://doi.org/10.1016/j.jhydrol.2006.09.014
Estimating sewer leakage from continuous tracer experiments
Rieckermann, J., Bareš, V., Kracht, O., Braun, D., & Gujer, W. (2007). Estimating sewer leakage from continuous tracer experiments. Water Research, 41(9), 1960-1972. https://doi.org/10.1016/j.watres.2007.01.024
Hydrological modelling of the chaohe basin in china: statistical model formulation and Bayesian inference
Yang, J., Reichert, P., Abbaspour, K. C., & Yang, H. (2007). Hydrological modelling of the chaohe basin in china: statistical model formulation and Bayesian inference. Journal of Hydrology, 340(3-4), 167-182. https://doi.org/10.1016/j.jhydrol.2007.04.006