Skip to main content

Advertisement

Log in

Design rainfall depth estimation through two regional frequency analysis methods in Hanjiang River Basin, China

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Hydrological predictions in ungauged basins are of significant importance for water resources management. In hydrological frequency analysis, regional methods are regarded as useful tools in estimating design rainfall/flood for areas with only little data available. The purpose of this paper is to investigate the performance of two regional methods, namely the Hosking’s approach and the cokriging approach, in hydrological frequency analysis. These two methods are employed to estimate 24-h design rainfall depths in Hanjiang River Basin, one of the largest tributaries of Yangtze River, China. Validation is made through comparing the results to those calculated from the provincial handbook approach which uses hundreds of rainfall gauge stations. Also for validation purpose, five hypothetically ungauged sites from the middle basin are chosen. The final results show that compared to the provincial handbook approach, the Hosking’s approach often overestimated the 24-h design rainfall depths while the cokriging approach most of the time underestimated. Overall, the Hosking’ approach produced more accurate results than the cokriging approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Benito G, Thorndycraft VR (2005) Palaeoflood hydrology and its role in applied hydrological sciences. J Hydrol 313(1–2):3–15. doi:10.1016/j.jhydrol.2005.02.002

    Article  Google Scholar 

  • BOHHB (Bureau of Hydrology, Hubei Province) (2008) Atlas of Storm Statistical Parameters in Hubei Province, Wuhan, Hubei. BOHHB, Wuhan

    Google Scholar 

  • Bougadis J, Adamowski K (2006) Scaling model of a rainfall intensity-duration-frequency relationship. Hydrol Process 20:3747–3757. doi:10.1002/hyp.6386

    Google Scholar 

  • Castiglioni S, Castellarin A, Montanari A, Skøien JO, Laaha G, Blöschl G (2010) Geostatistical regionalization of low-flow indices: PSBI and Top-Kriging. Hydrol Earth Syst Sci Discuss 7:7231–7261. doi:10.5194/hessd-7-7231-2010

  • Dalrymple T (1960) Flood frequency methods. US Geo Survey, Washington, Water Supply Paper 1543 A

    Google Scholar 

  • Daviau JL, Adamowski K, Patry GG (2000) Regional flood frequency analysis using GIS, L-moment and geostatistical methods. Hydrol Process 14:2731–2753. doi:10.1002/1099-1085(20001030)14:15<2731::AID-HYP89>3.0.CO;2-U

    Article  Google Scholar 

  • Fenske J (2003) Application of Paleohydrology to Crops flood frequency analysis. Research report. US Army Corps of Engineer

  • Fill HD, Stedinger JR (1995) Homogeneity tests based upon Gumbel distribution and a critical appraisal of Dalrymple’s test. J Hydrol 166:81–105. doi:10.1016/0022-1694(94)02599-7

    Article  Google Scholar 

  • Fowler HJ, Ekström M (2009) Multi-model ensemble estimates of climate change impacts on UK seasonal precipitation extremes. Int J Climatol 29:385–416. doi:10.1002/joc.1827

    Article  Google Scholar 

  • Fowler HJ, Ekström M, Blenkinsop S, Smith AP (2007) Estimating change in extreme European precipitation using a multimodel ensemble. J Geophys Res 112:D18104. doi:10.1029/2007JD008619

    Article  Google Scholar 

  • Frances F, Salas JD (1994) Flood frequency analysis with systematic and historic or paleoflood data based on the two-parameter general extreme value models. Water Resour Res 30(6):1653–1664

    Google Scholar 

  • Hosking JRM, Wallis JR (1993) Some statistics useful in regional frequency analysis. Water Resour Res 29:271–281. doi:10.1029/92WR01980, Correction: Water Resour Res, 31 (1995), 251

    Article  Google Scholar 

  • Hosking JRM, Wallis JR (1997) Regional Frequency Analysis—an approach based on L-moments. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Jones PD, Reid PA (2001) Assessing future changes in extreme precipitation over Britain using Regional Climate Model integrations. Int J Climatol 21:1337–1356. doi:10.1002/joc.677

    Article  Google Scholar 

  • Kitanidis PK (1997) Introduction to geostatistics: applications to hydrogeology. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259

    Article  Google Scholar 

  • MWR (The Ministry of Water Resources of the People’s Republic of China) (2006) Regulation for calculating design flood of water resources and hydropower projects. China Water Power Press, Beijing, pp 44–2006

    Google Scholar 

  • Neppel L, Renard B, Lang M, Ayral PA, Coeur D, Gaume E, Jacob N, Payrastre O, Pobanz K, Vinet F (2010) Flood frequency analysis using historical data: accounting for random and systematic errors. Hydrol Sci J 55(2):192–208. doi:10.1080/02626660903546092

    Article  Google Scholar 

  • Nezhad MK, Chokmani K, Ouarda BMJ, Barbet M, Bruneau P (2010) Regional flood frequency analysis using residual kriging in physiographical space. Hydrol Process 24:2045–2055. doi:10.1002/hyp.7631

    Google Scholar 

  • Norbiato D, Borga M, Sangati M, Zanon F (2007) Regional frequency analysis of extreme precipitation in the eastern Italian Alps and the August 29, 2003 flash flood. J Hydrol 345:149–166. doi:10.1016/j.jhydrol.2007.07.009

    Article  Google Scholar 

  • Pandey G, Lovejoy S, Schertzer D (1998) Multifractal analysis of daily river flows including extremes for basins of five to two million square kilometers, one day to 75 years. J Hydrol 208:62–81. doi:10.1016/S0022-1694(98)00148-6

    Article  Google Scholar 

  • Prudhomme C, Jakob D, Svensson C (2003) Uncertainty and climate change impact on the flood regime of small UK catchments. J Hydrol 277(1–2):1–23. doi:10.1016/S0022-1694(03)00065-

    Article  Google Scholar 

  • Reis DS, Stedinger JR (2005) Bayesian MCMC flood frequency analysis with historical information. J Hydrol 313:97–116. doi:10.1016/j.jhydrol.2005.02.028

    Article  Google Scholar 

  • Wallis JR, Schaefer MG, Barker BL, Taylor GH (2007) Regional precipitation-frequency analysis and spatial mapping for 24-huor and 2-hour durations for Washington State. Hydrol Earth Syst Sci 11(1):415–442

    Article  Google Scholar 

  • Xu YP, Booij MJ (2007) Propagation of discharge uncertainty in a flood damage model for the Meuse River. In: Begum S, Hall J, Stive M (eds) Flood Risk Management in Europe: Innovation in Policy and Practice (Advances in Natural and Technological Hazards Research series). Kluwer, Dordrecht, pp 293–230

    Google Scholar 

  • Xu YP, Tung YK (2009) Constrained scaling approach for design rainfall estimation. Stoch Env Res Risk A 23:697–705. doi:10.1007/s00477-008-0250-6

    Article  Google Scholar 

  • Yang T, Xu CY, Shao QX, Xi C (2010) Regional flood frequency and spatial patterns analysis in the Pearl River Delta region using L-moments approach. Stoch Env Res Risk A 24:165–182. doi:10.1007/s00477-009-0308-0

    Article  Google Scholar 

  • Yu PS, Chen CJ (1998) Incorporating uncertainty analysis into a regional IDF formula. Hydrol Process 12(5):713–726. doi:10.1002/(SICI)1099-1085(19980430)

    Article  Google Scholar 

  • Yu PS, Yang TC, Lin CS (2004) Regional rainfall intensity formulas based on scaling property of rainfall. J Hydrol 295(1–4):108–123. doi:10.1016/j.jhydrol.2004.03.003

    Article  Google Scholar 

  • Yue S, Pilon P, Cavadias G (2002) Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. J Hydrol 259(1–4):254–271. doi:10.1016/S0022-1694(01)00594-7

    Article  Google Scholar 

Download references

Acknowledgements

This research is financially supported by National Natural Science Foundation of China (Project No. 50809058), International Science & Technology Cooperation Program of China (2010DFA24320) and Doctorial Foundation of Ministry of Education (Project NO. 200803351029). The authors also would like to thank China Meteorological Administration and Bureau of Hydrology, Yangtze Commission for providing precipitation data of the Hanjiang River Basin. Finally, the authors would like to thank anonymous reviewers for their useful and constructive comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yue-Ping Xu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, YP., Yu, C., Zhang, X. et al. Design rainfall depth estimation through two regional frequency analysis methods in Hanjiang River Basin, China. Theor Appl Climatol 107, 563–578 (2012). https://doi.org/10.1007/s00704-011-0497-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-011-0497-6

Keywords

Navigation