Evolution of low flows in Czechia revisited

IAHS-AISH Proceedings and Reports

Volumn 369, Issue , 2015, Pages 87-95

  Ledvinka, O ^a,b  

^a CZECH HYDROMETEOROLOGICAL INSTITUTE   (Czech Republic)

^b CHARLES UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

AUTO REGRESSIVE PROCESS; AUTOMATIC SELECTION; BLOCK BOOTSTRAPS; HURST EXPONENTS; LONG MEMORY PROCESS; MANN-KENDALL TEST; SERIAL CORRELATION; TEST STATISTICS;

STATISTICAL TESTS; GEODESY;

STATISTICAL TESTS;

EID: 84959226166     PISSN: 01447815     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/piahs-369-87-2015     Document Type: Conference Paper

References (57)

1. Abdul Aziz, O. I. and Burn, D. H.: Trends and variability in the hydrological regime of the Mackenzie River Basin, J. Hydrol., 319, 282-294, doi:10.1016/j.jhydrol.2005.06.039, 2006.
2. Anderson, R. L.: Distribution of the serial correlation coefficient, Ann. Math. Stat., 13, 1-13, 1942.
3. Ben?coková, A., Krám, P., and Hruška, J.: Future climate and changes in flow patterns in Czech headwater catchments, Clim. Res., 49, 1-15, doi:10.3354/cr01011, 2011.
4. Burn, D. H.: Climatic influences on streamflow timing in the headwaters of the Mackenzie River Basin, J. Hydrol., 352, 225-238, doi:10.1016/j.jhydrol.2008.01.019, 2008.
5. Burn, D. H. and Hag Elnur, M. A.: Detection of hydrologic trends and variability, J. Hydrol., 255, 107-122, doi:10.1016/S0022-1694(01)00514-5, 2002.
6. Burn, D. H. and Hesch, N. M.: Trends in evaporation for the Canadian Prairies, J. Hydrol., 336, 61-73, doi:10.1016/j.jhydrol.2006.12.011, 2007.
7. Canty, A. and Ripley, B.: boot: Bootstrap R (S-Plus) Functions, R package version 1-3-13, http://cran.at.r-project.org/package= boot (last access: 5 January 2015), 2014.
8. Chen, Y. D., Zhang, Q., Chen, X., and Wang, P.: Multiscale variability of streamflow changes in the Pearl River basin, China, Stoch. Environ. Res. Risk A., 26, 235-246, doi:10.1007/s00477-011-0495-3, 2012.
9. Cohn, T. A. and Lins, H. F.: Nature's style: naturally trendy, Geophys. Res. Lett., 32, L23402, doi:10.1029/2005GL024476, 2005.
10. COSMT: Hydrological data on surface water, Czech Office for Standards, Metrology and Testing, Praha, 2014 (in Czech). Cowpertwait, P. S. P. and Metcalfe, A. V.: Introductory Time Series with R, Springer, Dordrecht, New York, 2009.
11. Cunderlik, J. M. and Burn, D. H.: Local and regional trends in monthly maximum flows in southern British Columbia, Can.Water Resour. J., 27, 191-212, doi:10.4296/cwrj2702191, 2002.
12. Davison, A. C. and Hinkley, D. V.: Bootstrap Methods and Their Applications, Cambridge University Press, New York, 1997.
13. Douglas, E. M., Vogel, R. M., and Kroll, C. N.: Trends in floods and low flows in the United States: impact of spatial correlation, J. Hydrol., 240, 90-105, doi:10.1016/S0022-1694(00)00336-X, 2000.
14. Ehsanzadeh, E. and Adamowski, K.: Trends in timing of low stream flows in Canada: impact of autocorrelation and long-term persistence, Hydrol. Process., 24, 970-980, doi:10.1002/hyp.7533, 2010.
15. Ehsanzadeh, E., van der Kamp, G., and Spence, C.: The impact of climatic variability and change in the hydroclimatology of Lake Winnipeg watershed, Hydrol. Process., 26, 2802-2813, doi:10.1002/hyp.8327, 2012.
16. Fatichi, S., Barbosa, S. M., Caporali, E., and Silva, M. E.: Deterministic versus stochastic trends: detection and challenges, J. Geophys. Res., 114, D18121, doi:10.1029/2009JD011960, 2009.
17. Fiala, T., Ouarda, T. B. M. J., and Hladný, J.: Evolution of low flows in the Czech Republic, J. Hydrol., 393, 206-218, doi:10.1016/j.jhydrol.2010.08.018, 2010.
18. Hamed, K. H.: Trend detection in hydrologic data: the Mann-Kendall trend test under the scaling hypothesis, J. Hydrol., 349, 350-363, doi:10.1016/j.jhydrol.2007.11.009, 2008.
19. Hamed, K. H. and Rao, A. R.: A modified Mann-Kendall trend test for autocorrelated data, J. Hydrol., 204, 182-196, doi:10.1016/S0022-1694(97)00125-X, 1998.
20. Hanel, M., Kašpárek, L., Peláková, M., Beran, A., and Vizina, A.: Evaluation of changes in deficit volumes: support for protection of localities suitable for construction of reservoirs, in: Considering Hydrological Change in Reservoir Planning and Management, edited by: Schumann, A., IAHS Press, Wallingford, Oxfordshire, UK, 187-192, 2013.
21. Hirsch, R. M., Slack, J. R., and Smith, R. A.: Techniques of trend analysis for monthly water quality data, Water Resour. Res., 18, 107-121, doi:10.1029/WR018i001p00107, 1982.
22. Hyndman, R. J. and Khandakar, Y.: Automatic time series forecasting: the forecast package for R, J. Stat. Softw., 27, 1-22, 2008.
23. Kendall, M. G.: A new measure of rank correlation, Biometrika, 30, 81-93, 1938.
24. Kendall, M. G.: Rank Correlation Methods, 4th Edn., Griffin, London, 1970.
25. Khaliq, M. N. and Sushama, L.: Analysis of trends in low-flow time series of Canadian rivers, in: Hydrologic Time Series Analysis: Theory and Practice, Springer Netherlands, Dordrecht, 201-221, 2012.
26. Khaliq, M. N., Ouarda, T. B. M. J., Gachon, P., and Sushama, L.: Temporal evolution of low-flow regimes in Canadian rivers, Water Resour. Res., 44, W08436, doi:10.1029/2007WR006132, 2008.
27. Khaliq, M. N., Ouarda, T. B. M. J., and Gachon, P.: Identification of temporal trends in annual and seasonal low flows occurring in Canadian rivers: The effect of short-and long-term persistence, J. Hydrol., 369, 183-197, doi:10.1016/j.jhydrol.2009.02.045, 2009a.
28. Khaliq, M. N., Ouarda, T. B. M. J., Gachon, P., Sushama, L., and St-Hilaire, A.: Identification of hydrological trends in the presence of serial and cross correlations: a review of selected methods and their application to annual flow regimes of Canadian rivers, J. Hydrol., 368, 117-130, doi:10.1016/j.jhydrol.2009.01.035, 2009b.
29. Kliment, Z. and Matoušková, M.: Runoff changes in the Šumava Mountains (Black Forest) and the foothill regions: extent of influence by human impact and climate change, Water Resour. Manage., 23, 1813-1834, doi:10.1007/s11269-008-9353-6, 2009.
30. Kliment, Z., Matoušková, M., Ledvinka, O., and Královec, V.: Trend analysis of rainfall-runoff regimes in selected headwater areas of the Czech Republic, J. Hydrol. Hydromech., 59, 36-50, doi:10.2478/v10098-011-0003-y, 2011.
31. Kulkarni, A. and von Storch, H.: Monte Carlo experiments on the effect of serial correlation on the Mann-Kendall test of trend, Meteorol. Z., 4, 82-85, 1995.
32. Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., and Shin, Y.: Testing the null hypothesis of stationarity against the alternative of a unit root, J. Econom., 54, 159-178, doi:10.1016/0304-4076(92)90104-Y, 1992.
33. Ledvinka, O.: Scaling of low flows in Czechia, in: HYPER Droughts: Hydrological Precipitation Evaporation Runoff Droughts-Book of Abstracts of the 6th EGU Leonardo Conference, 13-14 November 2014, Prague, Czech Republic, edited by: Vizina, A. and Laaha, G., 111-112, Prague, available at: http://www.eguleonardo2014.com/abstracts/ (last access: 19 January 2015), 2014.
34. Ledvinka, O.: Scaling of low flows in Czechia-an initial assessment, Proc. Int. Assoc. Hydrol. Sci., 366, 188-189, doi:10.5194/piahs-366-188-2015, 2015.
35. Liu, F., Chen, S., Dong, P., and Peng, J.: Spatial and temporal variability of water discharge in the Yellow River Basin over the past 60 years, J. Geogr. Sci., 22, 1013-1033, doi:10.1007/s11442-012-0980-8, 2012.
36. Lorenzo-Lacruz, J., Vicente-Serrano, S. M., López-Moreno, J. I., Morán-Tejeda, E., and Zabalza, J.: Recent trends in Iberian streamflows (1945-2005), J. Hydrol., 414-415, 463-475, doi:10.1016/j.jhydrol.2011.11.023, 2012.
37. Mann, H. B.: Nonparametric tests against trend, Econometrica, 13, 245-259, doi:10.2307/1907187, 1945.
38. Matalas, N. C. and Langbein, W. B.: Information content of the mean, J. Geophys. Res., 67, 3441-3448, doi:10.1029/JZ067i009p03441, 1962.
39. Matoušková, M., Kliment, Z., Ledvinka, O., and Královec, V.: Application of selected statistical tests to detect changes in the rainfall and runoff regime, Bodenkultur, 62, 95-100, 2011.
40. Min, S.-K., Zhang, X., Zwiers, F. W., and Hegerl, G. C.: Human contribution to more-intense precipitation extremes, Nature, 470, 378-381, doi:10.1038/nature09763, 2011.
41. Novický, O., Mrkvi?cková, M., and Kašpárek, L.: Implementation of the Water Framework Directive and adaptation strategies in the Czech Republic, in: Global Change: Facing Risks and Threats to Water Resources, edited by: Servat, E., Demuth, S., Dezetter, A., and Daniell, T., IAHS Press, Wallingford, Oxfordshire, UK, 273-278, 2010.
42. Patton, A., Politis, D. N., and White, H.: Correction to "Automatic block-length selection for the dependent bootstrap" by D. Politis and H. White, Econom. Rev., 28, 372-375, doi:10.1080/07474930802459016, 2009.
43. Phillips, P. C. B. and Perron, P.: Testing for a unit root in time series regression, Biometrika, 75, 335-346, doi:10.1093/biomet/75.2.335, 1988.
44. Politis, D. N. and White, H.: Automatic block-length selection for the dependent bootstrap, Econom. Rev., 23, 53-70, doi:10.1081/ETC-120028836, 2004.
45. Rivard, C., Vigneault, H., Piggott, A. R., Larocque, M., and Anctil, F.: Groundwater recharge trends in Canada, Can. J. Earth Sci., 46, 841-854, doi:10.1139/E09-056, 2009.
46. Sen, P. K.: Estimates of the regression coefficient based on Kendall's tau, J. Am. Stat. Assoc., 63, 1379-1389, doi:10.2307/2285891, 1968.
47. Shifteh Some'e, B., Ezani, A., and Tabari, H.: Spatiotemporal trends and change point of precipitation in Iran, Atmos. Res., 113, 1-12, doi:10.1016/j.atmosres.2012.04.016, 2012.
48. Steffens, K. J. and Franz, K. J.: Late 20th-century trends in Iowa watersheds: an investigation of observed and modelled hydrologic storages and fluxes in heavily managed landscapes, Int. J. Climatol., 32, 1373-1391, doi:10.1002/joc.2361, 2012.
49. Tabari, H., Abghari, H., and Hosseinzadeh Talaee, P.: Temporal trends and spatial characteristics of drought and rainfall in arid and semiarid regions of Iran, Hydrol. Process., 26, 3351-3361, doi:10.1002/hyp.8460, 2012.
50. Vajskebr, V., R? ic?icová, P., and Vlnas, R.: Impact of the climate change on water and snow balance in the "Jizerské" Mountains in the Czech Republic, Bodenkultur, 64, 113-119, 2013.
51. Vlnas, R. and Fiala, T.: Spatial and temporal variability of hydrological drought in the Czech Republic, in: vol. 2, SGEM2010 Conference Proceedings, Varna, Bulgaria, 20-26 June 2010, 59-66, 2010.
52. von Storch, H.: Misuses of statistical analysis in climate research, in: Analysis of Climate Variability. Applications of Statistical Techniques, edited by: von Storch, H. and Navarra, A., Springer-Verlag, Berlin, 11-26, 1999.
53. Wagesho, N., Goel, N. K., and Jain, M. K.: Investigation of non-stationarity in hydro-climatic variables at Rift Valley lakes basin of Ethiopia, J. Hydrol., 444-445, 113-133, doi:10.1016/j.jhydrol.2012.04.011, 2012.
54. Yue, S. andWang, C. Y.: Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test,Water Resour. Res., 38, 1068, doi:10.1029/2001WR000861, 2002.
55. Yue, S. and Wang, C. Y.: The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series, Water Resour. Manage., 18, 201-218, doi:10.1023/B:WARM.0000043140.61082.60, 2004.
56. Yue, S., Pilon, P., Phinney, B., and Cavadias, G.: The influence of autocorrelation on the ability to detect trend in hydrological series, Hydrol. Process., 16, 1807-1829, doi:10.1002/hyp.1095, 2002.
57. Yue, S., Pilon, P., and Phinney, B.: Canadian streamflow trend detection: impacts of serial and cross-correlation, Hydrolog. Sci. J., 48, 51-63, doi:10.1623/hysj.48.1.51.43478, 2003.