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The joint probability distribution of runoff and sediment and its change characteristics with multi-time scales Cover

The joint probability distribution of runoff and sediment and its change characteristics with multi-time scales

Journal of Hydrology and Hydromechanics
Volume 62 (2014): Issue 3 (September 2014)
By: ,   and    
Open Access
|Aug 2014
References

References

  1. Balistrocchi, M., Bacchi, B., 2011. Modelling the statistical dependence of rainfall event variables through copula functions. Hydrol. Earth. Syst. Sci., 15, 6, 1959-1977.
    Open DOISearch in Google Scholar
  2. Cherubini, U., Luciano, E., Vecchiato, W., 2004. Copula Methods in Finance. John Wiley, Chichester, UK.
    Open DOISearch in Google Scholar
  3. Chowdhary, H., Escobar, L., Singh, V.P., 2011. Identification of suitable copulas for bivariate frequency analysis of flood peaks and flood volumes. Hydrol. Res., 42, 2-3, 193-216.
    Open DOISearch in Google Scholar
  4. Compagnucci, R., Blanco, S.A., Figlioa, M.A. et a1., 2000. Variability in subtropical Andean Argentinean Atuel fiver: a wavelet approach. Environmetrics, 11, 251-269.
    Open DOISearch in Google Scholar
  5. Correia, F.N., 1987. Multivariate partial duration series in flood risk analysis. In: Singh, V.P. (Ed.): Hydrologic Frequency Modelling. Reidel, Dordrecht, The Netherlands,pp.541-554.
    Open DOISearch in Google Scholar
  6. Freund, J.E., 1961. A bivariate extension of the exponential distribution. J. Amer. Statist., 56, 971-977.
    Open DOISearch in Google Scholar
  7. Ganguli, P., Reddy, M.J., 2013. Probabilistic assessment of flood risks using trivariate copulas. Theor. Appl. Climatol., 111, 1-2, 341-360.
    Open DOISearch in Google Scholar
  8. Gaucherel, C., 2002. Use of wavelet transform for temporal characterization of remote watersheds. J. Hydrol., 269, 101-121.
    Open DOISearch in Google Scholar
  9. Goel, N.K., Seth, S.M., Chandra, S., 1998. Multivariate modeling of flood flows. J. Hydraulic. Eng., 124, 146-155.
    Open DOISearch in Google Scholar
  10. Grimaldi, S., Serinaldi, F., Napolitano, F. et al., 2005. A 3- copula function application for design hyetograph analysis. IAHS Publ., 293, 203-211.
    Search in Google Scholar
  11. Gumbel, E.J., 1960. Bivariate exponential distributions. J. Am. Statist. Assoc., 55, 698-707.
    Open DOISearch in Google Scholar
  12. Gumbel, E.J., Mustafi, C.K., 1967. Some analytical properties of bivariate extreme distributions. J. Am. Statist. Assoc., 62, 569-588.
    Open DOISearch in Google Scholar
  13. Gyasi-Agyei, Y., 2012. Use of observed scaled daily storm profiles in a copula based rainfall disaggregation model. Adv. Water. Resour., 45, 26-26.
    Open DOISearch in Google Scholar
  14. Gyasi-Agyei, Y., Melching, C.S., 2012. Modelling the dependence and internal structure of storm events for continuous rainfall. J. Hydrol., 464-465, 249-261.
    Open DOISearch in Google Scholar
  15. Han, Y.P., Jiang, R.F., Ruan, B.Q., 2007. Analysis on Wetnessdryness encountering of runoff flow between water source region and receiving water region in the middle route of the South-to-North Water Transfer Project. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 28, 8-11.
    Search in Google Scholar
  16. Hashino, M., 1985. Formulation of the joint return period of two hydrologic variates associated with a Poisson process. J. Hydraulic. Eng., 3, 73-84.
    Search in Google Scholar
  17. Huang, N.E., Shen, Z. et al., 1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. Roy. Soc. London.
    Open DOISearch in Google Scholar
  18. Huang, N.E., Shen, Z., Long, S.R. et al., 1999. A new view of nonlinear water waves: the Hilbert spectrum. Annu. Rev. Fluid. Mech., 31, 417-457.
    Open DOISearch in Google Scholar
  19. Kao, S.C., Govindaraju, R.S., 2010. A copula-based joint deficit index for droughts. J. Hydrol., 380, 121-134.
    Open DOISearch in Google Scholar
  20. Labat, D., Ronchail, J., Callede, J. et a1., 2004. Wavelet analysis of Amazon hydrological regime variability. Geophys. Res. Lett., 31, 33-45.
    Open DOISearch in Google Scholar
  21. Lian, J.J., Xu, K., Ma, C., 2013. Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: A case study of Fuzhou City, China. Hydrol. Earth. Syst. Sci.,17, 2, 679-689.
    Open DOISearch in Google Scholar
  22. Liu, Z.M., Chen, Z.S., 2009. Risk study of the bivariate encounter of interzone rainstorm and flood level of the outer river. Adv. Water. Resour., 20, 619-625.
    Search in Google Scholar
  23. Ma, M., Song, S., Ren, L., Jiang, S., Song, J., 2013. Multivariate drought characteristics using trivariate Gaussian and Student t copulas. Hydrol. Process., 27, 8, 1175-1190.
    Open DOISearch in Google Scholar
  24. Nelsen, R.B., 1999. An Introduction to Copulas. Lecture Notes in Statistics 139. Springer, New York.
    Open DOISearch in Google Scholar
  25. Renard, B., Lang, M., 2007. Use of a Gaussian copula for multivariate extreme value analysis: some case studies in hydrology. Adv. Water. Resour., 30, 897-912.
    Open DOISearch in Google Scholar
  26. Salarpour, M., Yusop, Z., Yusof, F., Shahid, S., Jajarmizadeh, M., 2013. Flood frequency analysis based on t-copula for Johor River, Malaysia. J. Appl. Sci., 13, 7, 1021-1028.
    Open DOISearch in Google Scholar
  27. Salvatore, G., Francesco, S., 2006. Asymmetric copula in multivariate flood frequency analysis, Adv. Water. Resour., 29., 1155-1167.
    Open DOISearch in Google Scholar
  28. Singh, K., Singh, V.P., 1991. Derivation of bivariate probability density functions with exponential marginals. J. Stochastic. Hydrol., 5, 55-68.
    Open DOISearch in Google Scholar
  29. Wang, J., Meng, J.J., 2007. Research on runoff variations based on wavelet analysis and wavelet neural network model: A case study of the Heihe River drainage basin. J. Geog. Sci., 17, 327-338.
    Open DOISearch in Google Scholar
  30. Xiao, Y., Guo, S.L., Liu, P., 2008. Seasonal flood frequency analysis and flood prevention standard. Adv. Water. Resour., 19, 54-60.
    Search in Google Scholar
  31. Xiong, L.H., Guo, S.G., Xiao, Y., 2005. Application of copulas to multivariate hydrological frequency analysis. Eng. J. Wuhan. U., 38, 16-19.
    Search in Google Scholar
  32. Xu, Y.P., Li, J., Cao, F.F. et al., 2008. Applications of Copula in hydrological extreme analysis. J. Zhejiang U., 42, 1119-1122.
    Search in Google Scholar
  33. Yan, B.W., Guo, S.G., Xiao, Y., 2007. Analysis on drought characteristics based on bivariate joint distribution. Arid. Zone. Res., 24, 537-542.
    Search in Google Scholar
  34. Yue, S., 2000. Joint probability distribution of annual maximum storm peaks and amounts as represented by daily rainfalls. Hydrol. Sci. J., 45, 315-326.
    Open DOISearch in Google Scholar
  35. Yue, S., 2001. The Gumbel logistic model for representing a multivariate storm event. Adv. Water. Resour., 24, 179-85.
    Open DOISearch in Google Scholar
  36. Yue, S., Rasmussen, P., 2002. Bivariate frequency analysis: discussion of some useful concepts in hydrological application. Hydrol. Process., 16, 2881-2898.
    Open DOISearch in Google Scholar
  37. Yue, S., Wang, C.Y., 2004. A comparison of two bivariate extreme value distributions. Stochastic. Environ. Res. Risk. Assess., 18, 61-69.
    Open DOISearch in Google Scholar
  38. Yue, S., Legendre, P., Bruneau, P., 1999. The Gumbel mixed model for flood frequency analysis. J. Hydrol., 226, 88-100.
    Open DOISearch in Google Scholar
  39. Zhang, L., Singh, V.P., 2007. Bivariate rainfall frequency distributions using Archimedean copulas. J. Hydrol., 332, 93-109.
    Open DOISearch in Google Scholar
  40. Zhou, L.Y., Zhou, S.Z., Wang, F., 2005. Multi-time scales analysis of climate variation in Leizhou peninsula during 1951 to 2003. Journal of South China Normal University, 2, 43-51.
    Search in Google Scholar
DOI: https://doi.org/10.2478/johh-2014-0024 | Journal eISSN: 1338-4333 (formerly 0042-790X) | Journal ISSN: 0042-790X
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Language: English
Page range: 218 - 225
Submitted on: Apr 29, 2013
Accepted on: Mar 17, 2014
Published on: Aug 15, 2014
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
Keywords:
Runoff,
Sediment,
Joint probability distribution,
Copula,
Empirical mode decomposition method
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2014 Jinping Zhang, Zhihong Ding, Jinjun You, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 62 (2014): Issue 3 (September 2014)
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