Temporal analysis and the joint probability distribution of rainfall indexes in the Taihu Lake Basin, China

被引：1

作者：

Hao, Manqiu ^{[1
]}

Gao, Cheng ^{[1
]}

Chen, Jian ^{[1
]}

机构：

[1] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Peoples R China

来源：

THEORETICAL AND APPLIED CLIMATOLOGY | 2023年 / 152卷 / 3-4期

关键词：

FREQUENCY-ANALYSIS; COPULAS;

D O I：

10.1007/s00704-023-04425-0

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Taking the Taihu Lake Basin as an example, in this study, the characteristics of the rainfall factors in the study area were analyzed using daily rainfall data from 1955 to 2019. Three factors, i.e., the contribution rate of the rainfall in the flood season, the rainfall frequency, and the maximum daily rainfall, were selected to determine the optimal probability distribution function for each single factor. Furthermore, the root mean square error goodness-of-fit test was used to determine the optimal copula function for the three-dimensional joint probability distribution characteristics of the rainfall factors. The research results show that the three-dimensional copula joint probability method contains much more information than the results of the single variable probability calculation. The copula function can be used to analyze the multi-dimensional joint distribution of rainfall factors, which can fill the gap in research on multiple rainfall factors.

引用

页码：951 / 965

页数：15

共 28 条

[1] Non-stationarity analysis of flood flows using copula based change-point detection method: Application to case study of Godavari river basin
Akbari, Shagufta
Reddy, Manne Janga
[J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 718
[2] Alcamo J., 2000, World water in 2025 global modeling scenario analysis for the world commission on water for the 21st century. Kassel World Water Series Report No. 2
[3] Flood type specific construction of synthetic design hydrographs
Brunner, Manuela I.
Viviroli, Daniel
Sikorska, Anna E.
Vannier, Olivier
Favre, Anne-Catherine
Seibert, Jan
[J]. WATER RESOURCES RESEARCH, 2017, 53 (02) : 1390 - 1406
[4] Statistical analysis of long term spatial and temporal trends of precipitation during 1901-2002 at Madhya Pradesh, India
Duhan, Darshana
Pandey, Ashish
[J]. ATMOSPHERIC RESEARCH, 2013, 122 : 136 - 149
[5] Effect of catchment properties and flood generation regime on copula selection for bivariate flood frequency analysis
Filipova, Valeriya
Lawrence, Deborah
Klempe, Harald
[J]. ACTA GEOPHYSICA, 2018, 66 (04) : 791 - 806
[6] Characterisation of seasonal flood types according to timescales in mixed probability distributions
Fischer, Svenja
Schumann, Andreas
Schulte, Markus
[J]. JOURNAL OF HYDROLOGY, 2016, 539 : 38 - 56
[7] Probabilistic assessment of flood risks using trivariate copulas
Ganguli, Poulomi
Reddy, M. Janga
[J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2013, 111 (1-2) : 341 - 360
[8] Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula
Ghosh, Subimal
[J]. HYDROLOGICAL PROCESSES, 2010, 24 (24) : 3558 - 3567
[9] Exact distribution of the Mann-Kendall trend test statistic for persistent data
Hamed, K. H.
[J]. JOURNAL OF HYDROLOGY, 2009, 365 (1-2) : 86 - 94
[10] Recent advances in wavelet analyses: Part I. A review of concepts
Labat, D
[J]. JOURNAL OF HYDROLOGY, 2005, 314 (1-4) : 275 - 288

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