Open Access

Analysis of the influence of input data uncertainties on determining the reliability of reservoir storage capacity


Cite

Beven, K., 2007. Towards integrated environmental models of everywhere: Uncertainty, data and modelling as a learning process. Hydrol. Earth Syst. Sci., 11, 460–467.10.5194/hess-11-460-2007Search in Google Scholar

Beven, K.J., Binley, A.M., 1992. The future of distributed models: Model calibration and uncertainty prediction. Hydrological Processes, 6, 279–298.10.1002/hyp.3360060305Search in Google Scholar

Campos, J.N.B., Souza Filho, F.A., Lima, H.V.C., 2014. Risks and uncertainties in reservoir yield in highly variable intermittent rivers: Case of the Castanhão Reservoir in semi-arid Brazil. Hydrological Sciences Journal, 59, 6, 1184–1195.10.1080/02626667.2013.836277Search in Google Scholar

Coxon, G., Freer, J., Westerberg, I.K., Wagener, T., Woods, R., Smith, P.J., 2015. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations. Water Resour. Res., 51, doi:10.1002/2014WR016532.10.1002/2014WR016532Search in Google Scholar

ČSN 75 2405 Standard, 2004. Water Management Analysis of Reservoir, ICS 93.160; 13.060.10, The Czech Office for Standards, Metrology and Testing, Prague.Search in Google Scholar

GUM, 1993. Guide to the expression of uncertainty in measurement. 1st ed. International Organization for Standardization, Geneva, 101 pp. ISBN 9267101889.Search in Google Scholar

Hashimoto, T., Stedinder, J.R., Loucks, D.P., 1982. Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water Resources Research, 18, 1, 14–20.10.1029/WR018i001p00014Search in Google Scholar

ISO GUIDE 99998 Standard, 2004. Guide to the expression of uncertainty in measurement (GUM) – Supplement 1: Numerical methods for the propagation of distributions. International Organization for Standardization, Geneva.Search in Google Scholar

Klemes, V., 1967. Reliability estimates for a storage reservoir with seasonal input. Journal of Hydrology, 7, 2, 198–216.10.1016/0022-1694(69)90056-0Search in Google Scholar

Klir, G.J., 2005. Uncertainty and Information: Foundations of Generalized Information Theory. John Wiley & Sons, Inc., Hoboken, NJ, 499 pp.10.1002/0471755575Search in Google Scholar

Knight, F.H., 1921. Risk, Uncertainty, and Profit. Boston, Hart, Schaffner & Marx; Houghton Mifflin Company, Boston.Search in Google Scholar

Kritskiy, S.N., Menkel, M.F., 1952. Water Management Computations. GIMIZ, Leningrad. (In Russian.)Search in Google Scholar

Kuria, F.W., Vogel, R.M., 2014. A global reservoir water supply yield model with uncertainty. Environmental Research Letters, 9, 095006, doi: 10.1088/1748-9326/9/9/095006.10.1088/1748-9326/9/9/095006Search in Google Scholar

LaBaugh, J.W., Winter, T.C., 1984. The impact of uncertainties in hydrologic measurement on phosphorus budgets and empirical models for two Colorado reservoirs. Limnology and Oceanography, 2, doi: 10.4319/lo.1984.29.2.0322.10.4319/lo.1984.29.2.0322Search in Google Scholar

Marton, D., Starý, M., Menšík, P., 2011. The influence of uncertainties in the calculation of mean monthly discharges on reservoir storage, Journal of Hydrology and Hydromechanics, 59, 4, 228–237.10.2478/v10098-011-0019-3Search in Google Scholar

Marton, D., Starý, M., Menšík, P., 2014. Water management solution of reservoir storage function under condition of measurement uncertainties in hydrological input data. Procedia Engineering, 70, 1094–1101, ISSN 1877-7058, http://dx.doi.org/10.1016/j.proeng.2014.02.121.Search in Google Scholar

Menšík, P., Starý, M., Marton, D., 2015. Water management software for controlling the water supply function of many reservoirs in a watershed. Water Resources, 42, 1, 133–145.10.1134/S0097807815010078Search in Google Scholar

WECC, 1990. Guidelines for Expression of the Uncertainty in Calibrations. Doc. 19-1990. International Organization for Standardization, Geneva, Switzerland.Search in Google Scholar

Winter, T.C., 1981. Uncertainties in estimating the water balance of lakes. JAWRA Journal of the American Water Resources Association, 17, 82–115. doi: 10.1111/j.1752-1688.1981.tb02593.x.10.1111/j.1752-1688.1981.tb02593.xSearch in Google Scholar

Zadeh, L.A., 1965. Fuzzy sets. Information and Control, 8, 3, 338–353. doi: 10.1016/s0019-9958(65)90241-x.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

Zahradníček, P., Trnka, M., Brázdil, R., Možný, M., Štěpánek, P., Hlavinka, P., Žalud, Z., Malý, A., Semerádová, D., Dobrovolný, P., Dubrovský, M., Řezníčková, L., 2014. The extreme drought episode of August 2011–May 2012 in the Czech Republic. Int. J. Climatol., doi: 10.1002/joc.4211.10.1002/joc.4211Search in Google Scholar

eISSN:
0042-790X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other