E3S Web Conf.
Volume 233, 20212020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|Number of page(s)||8|
|Section||HCCE2020-Hydraulic, Civil and Construction Engineering|
|Published online||27 January 2021|
- National Bureau of Statistics of China. China Statistical Yearbook 2019 [M]. Beijing: China Statistics Press, 2019. [Google Scholar]
- Jiantao Lu, Guibing Hou, Yuanyuan Li, et al. Review and Prospect of Urban Waterlogging Decision Support System [J]. Pearl River, 2020,(2): 134-139+146. [Google Scholar]
- Marsalek J, Watt W E. Design storms for urban drainage design[J]. Canadian Journal of Civil Engineering, 1984, 11(3):574-584. [CrossRef] [Google Scholar]
- Fu G, Butler D. Copula-based frequency analysis of overflow and flooding in urban drainage systems[J]. Journal of Hydrology, 2014, 510:49-58. [Google Scholar]
- Weidong Li, Xiangyang Xu. Research on the Relationship between the Design of Pipes and River Drainage at Different Damage Rate[J]. China Rural Water and Hydropower, 2015, (11):182-184. [Google Scholar]
- Jianyun Zhang, Yintang Wang, Cuishan Liu, et al. Discussion on the standards of urban flood and waterlogging prevention in China[J]. Journal of Hydroelecttic Engineering, 2017, 36(1):1-6. [Google Scholar]
- Jun Liu, Fangqin Yu, Jiantao Zhang, et al. Study on Relationship between Design Standards of Pipe and River Drainage [J]. China Water & Wastewater, 2007, (2):50-52. [Google Scholar]
- Ou Huang, Haoyu Xu, Chunyu Guan. Consideration on the recurrcence interval for local flooding design [J]. Water & Wastewater Engineering, 2019, 45(9):139-144. [Google Scholar]
- Mingzhu Zhang, Jiaojiao Zeng, Guoru Huang, et al. Analysis of cohesive relationship for return period of design rainstorm between municipal sewerage and waterlogging drainage[J]. Journal of Water Resources and Water Engineering, 2015, (1):131-135. [Google Scholar]
- Xin Chen, Huiping Deng, Xixia Ma. Research on relationship between urban drainage and waterlogging design return periods based on SWMM [J]. Water & Wastewater Engineering, 2009, 35(9):114-117. [Google Scholar]
- Xing Yang, Chaofang Li, Zhilong Liu. Risk probability analysis of design storm combination of urban pipe drainage and river drainage [J]. Engineering Journal of Wuhan University, 2012, 45(002):171-176. [Google Scholar]
- Zishen Chen, Shiyou Gao, Honghao Li. Design storm for mixed level-1 and level-2 urban drainage standards based on the secondary return period[J]. Advances in Water Science, 2017, (3):382-389. [Google Scholar]
- Nelson R B. An introduction to copulas [M]. New York: Springer, 2006. [Google Scholar]
- Zhang L, Singh V P. Bivariate rainfall frequency distributions using Archimedean copulas [J]. Journal of Hydrology, 2007, 332: 93-109. [Google Scholar]
- Timonina A, Hochrainer-Stigler S, Pflug G, et al. Structured coupling of probability loss distributions: assessing joint flood risk in multiple river basins [J]. Risk Analysis, 2015, 35(11): 2102-2119. [CrossRef] [Google Scholar]
- Yevjevich, V., 1972. Probability and Statistic in Hydrology. Fort Collins, Colorado. [Google Scholar]
- Akaike H. Springer Series in Statistics[J]. Annals of the Institute of Statistical Mathematics, 1974, 26(1):363-387. [Google Scholar]
- Yixuan Zhong, Shenglian Guo, Zhangjun Liu, et al. Quantifying differences between reservoir inflows and dam site floods using frequency and risk analysis methods[J]. Stochastic Environmental Research and Risk Assessment, 2018, 32(2):419-433. [CrossRef] [Google Scholar]
- Salvadori G, Michele C D. Multivariate multiparameter extreme value models and return periods: a Copula approach [J]. Water Resources Research, 2010, 46(10): 219-233. [Google Scholar]
- Salvadori G, Michele C D and Durante F. On the return period and design in a multivariate framework [J]. Hydrology and Earth System Sciences & Discussions, 2011, 15: 3293-3305. [CrossRef] [Google Scholar]
- Nguyen D D, Jayakumar K V. Assessing the copula selection for bivariate frequency analysis based on the tail dependence test[J]. Journal of Earth System Science, 2018, 127(7):92. [CrossRef] [Google Scholar]
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