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Exploring variability in environmental impact risk from human activities across aquatic ecosystems
Borgwardt, F., Robinson, L., Trauner, D., Teixeira, H., Nogueira, A. J. A., Lillebø, A. I., … Culhane, F. (2019). Exploring variability in environmental impact risk from human activities across aquatic ecosystems. Science of the Total Environment, 652, 1396-1408. https://doi.org/10.1016/j.scitotenv.2018.10.339
Risk to the supply of ecosystem services across aquatic ecosystems
Culhane, F., Teixeira, H., Nogueira, A. J. A., Borgwardt, F., Trauner, D., Lillebø, A., … Robinson, L. A. (2019). Risk to the supply of ecosystem services across aquatic ecosystems. Science of the Total Environment, 660, 611-621. https://doi.org/10.1016/j.scitotenv.2018.12.346
The waterhub modules: material and energy flow analysis of domestic hot water systems
Hadengue, B., Scheidegger, A., Morgenroth, E., & Larsen, T. A. (2019). The waterhub modules: material and energy flow analysis of domestic hot water systems. In A. Haumer (Ed.), Linköping Electronic Conference Proceedings. Proceedings of the 13th international modelica conference (pp. 639-646). https://doi.org/10.3384/ecp19157639
Ecological assessment of river networks: from reach to catchment scale
Kuemmerlen, M., Reichert, P., Siber, R., & Schuwirth, N. (2019). Ecological assessment of river networks: from reach to catchment scale. Science of the Total Environment, 650, 1613-1627. https://doi.org/10.1016/j.scitotenv.2018.09.019
Introducing the H2020 AQUACROSS project: knowledge, assessment, and management for AQUAtic biodiversity and ecosystem services aCROSS EU policies
Lago, M., Boteler, B., Rouillard, J., Abhold, K., Jähnig, S. C., Iglesias-Campos, A., … Hugh, M. D. (2019). Introducing the H2020 AQUACROSS project: knowledge, assessment, and management for AQUAtic biodiversity and ecosystem services aCROSS EU policies. Science of the Total Environment, 652, 320-329. https://doi.org/10.1016/j.scitotenv.2018.10.076
Multimodel assessments of human and climate impacts on mean annual streamflow in China
Liu, X., Liu, W., Yang, H., Tang, Q., Flörke, M., Masaki, Y., … Wada, Y. (2019). Multimodel assessments of human and climate impacts on mean annual streamflow in China. Hydrology and Earth System Sciences, 23(3), 1245-1261. https://doi.org/10.5194/hess-23-1245-2019
Savings and losses of global water resources in food-related virtual water trade
Liu, W., Antonelli, M., Kummu, M., Zhao, X., Wu, P., Liu, J., … Yang, H. (2019). Savings and losses of global water resources in food-related virtual water trade. Wiley Interdisciplinary Reviews: Water, 6(1), e1320 (16 pp.). https://doi.org/10.1002/wat2.1320
The asymmetric impact of abundant preceding rainfall on heat stress in low latitudes
Liu, X., Tang, Q., Liu, W., Yang, H., Groisman, P., Leng, G., … Sun, S. (2019). The asymmetric impact of abundant preceding rainfall on heat stress in low latitudes. Environmental Research Letters, 14(4), 044010 (9 pp.). https://doi.org/10.1088/1748-9326/ab018a
Understanding the water–food–energy nexus for supporting sustainable food production and conserving hydropower potential in China
Liu, W., Yang, H., Tang, Q., & Liu, X. (2019). Understanding the water–food–energy nexus for supporting sustainable food production and conserving hydropower potential in China. Frontiers in Environmental Science, 7, 50 (10 pp.). https://doi.org/10.3389/fenvs.2019.00050
Natural data structure extracted from neighborhood-similarity graphs
Lorimer, T., Kanders, K., & Stoop, R. (2019). Natural data structure extracted from neighborhood-similarity graphs. Chaos, Solitons & Fractals, 119, 326-331. https://doi.org/10.1016/j.chaos.2018.12.033
Quantifying physical disintegration of faeces in sewers: stochastic model and flow reactor experiments
Penn, R., Maurer, M., Michalec, F. G., Scheidegger, A., Zhou, J., & Holzner, M. (2019). Quantifying physical disintegration of faeces in sewers: stochastic model and flow reactor experiments. Water Research, 152, 159-170. https://doi.org/10.1016/j.watres.2018.12.037
Linking biodiversity to ecosystem services supply: patterns across aquatic ecosystems
Teixeira, H., Lillebø, A. I., Culhane, F., Robinson, L., Trauner, D., Borgwardt, F., … Nogueira, A. J. A. (2019). Linking biodiversity to ecosystem services supply: patterns across aquatic ecosystems. Science of the Total Environment, 657, 517-534. https://doi.org/10.1016/j.scitotenv.2018.11.440
The future of extreme climate in Iran
Vaghefi, S. A., Keykhai, M., Jahanbakhshi, F., Sheikholeslami, J., Ahmadi, A., Yang, H., & Abbaspour, K. C. (2019). The future of extreme climate in Iran. Scientific Reports, 9(1), 1464 (11 pp.). https://doi.org/10.1038/s41598-018-38071-8
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
Identifying non-additive multi-attribute value functions based on uncertain indifference statements
Haag, F., Lienert, J., Schuwirth, N., & Reichert, P. (2018). Identifying non-additive multi-attribute value functions based on uncertain indifference statements. Omega: the international journal of management science. https://doi.org/10.1016/j.omega.2018.05.011
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
 

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