Articles | Volume 16, issue 11
https://doi.org/10.5194/hess-16-4177-2012
© Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.
Research article
| 
12 Nov 2012
Research article |
| 12 Nov 2012
Uncertainty in computations of the spread of warm water in a river – lessons from Environmental Impact Assessment case study
Related subject area
Subject: Rivers and Lakes | Techniques and Approaches: Uncertainty analysis
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Cited articles
Allan, J.: Stream ecology: structure and function of running waters, Kluwer Academic Publishers, 1995.
Altinakar, M. S., Czernuszenko, W., Rowiński, P. M., and Wang, S. S. Y.: Computational modeling for the development of sustainable water-resources systems in Poland, US-Poland Technology Transfer Program, in: Monographic Volume, Publications of the Institute of Geophysics, vol. E-5(387), Polish Academy of Sciences, Warsaw, 2005.
Beven, K.: Uncertainty of predictions of floods and hydraulic transport., in: Transport phenomena in hydraulics, in: Monographic Volume, Publications of the Institute of Geophysics, vol. E-7(401), edited by: Rowiński, P. M., Polish Academy of Sciences, Warsaw, 5–20, 2007a.
Beven, K.: Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process, Hydrol. Earth Syst. Sci., 11, 460–467, https://doi.org/10.5194/hess-11-460-2007, 2007b.
Beven, K., Smith, P. J., and Wood, A.: On the colour and spin of epistemic error (and what we might do about it), Hydrol. Earth Syst. Sci., 15, 3123–3133, https://doi.org/10.5194/hess-15-3123-2011, 2011.
