Zhao Lingling, Yang Xing, Liu Lihong, et al. Joint Distribution of Flood Peaks in Medium and Small Watersheds of South China Based on Kendall's Return Period[J]. Bulletin of Soiland Water Conservation, 2020, 40(1): 162-169.
DOI:
Zhao Lingling, Yang Xing, Liu Lihong, et al. Joint Distribution of Flood Peaks in Medium and Small Watersheds of South China Based on Kendall's Return Period[J]. Bulletin of Soiland Water Conservation, 2020, 40(1): 162-169. DOI: 10.13961/j.cnki.stbctb.2020.01.024.
Joint Distribution of Flood Peaks in Medium and Small Watersheds of South China Based on Kendall's Return Period
[Objective] The joint distribution of flood peaks in small and medium watersheds in mountainous areas of South China was examined to provide a theoretical reference for flood control in mountainous areas.[Methods] Based on the Archimedean Copula function and the Kendall measure
three kinds of recurrence levels of the combined distribution of flood peaks in selected watersheds of three mountainous areas were analyzed. The "OR"
"AND" and Kendall return periods and their design flood quantiles for the joint distribution of flood peaks were calculated based on the Gumbel Copula funtion and Kendall measures.[Results] ① There was a high correlation between flood peak and flood volume (Kendall correlation coefficient >0.76); ② The probability of flood peaks in three basins was very high
all exceeding 81%; ③ In terms of engineering economic security
the comparison of the set-up period showed that the Kendall return period between the "OR" and the "AND" return periods more accurately reflects the risk ratio of the joint distribution of flood peaks; ④ The flood design value calculated by the two-variable "OR" return period and the same frequency were higher.[Conclusion] The design value of peak flood volume calculated from Kendall recurrence period can provide new safety insights for flood control projects in small and medium-sized mountain basins.
Salvadori G, De Michele C. Frequency analysis via copulas:Theoretical aspects and applications to hydrological events[J]. Water Resources Research, 2004,40(12):229-244.
Salvadori G, Tomasicchio G R, D'Alessandro F. Multivariate approach to design coastal and off-shore structures[J]. Journal of Coastal Research, 2013,65:386-391.
Corbella S, Stretch D D. Multivariate return periods of sea storms for coastal erosion risk assessment[J]. Natural Hazards Earth System Sciences, 2012,12(8):2699-2708.
Graler B, Verhoest N, Grimaldi S. Multivariate return periods in hydrology:A critical and practical review focusing on synthetic design hydrograph estimation[J]. Hydrology and Earth System Sciences, 2013,17:1281-1296.
Hosking J R M. L-moments:Analysis and estimation of distributions using linear combinations of order statistics[J]. Journal of the Royal Statistical Society:Series B (Methodological), 1990,52(1):105-124.