Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1683-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1683-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Mar 2019
Research article |
| 22 Mar 2019
| 22 Mar 2019
Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice
Cong Jiang
CORRESPONDING AUTHOR
School of Environmental Studies, China University of Geosciences,
Wuhan 430074, China
Lihua Xiong
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Lei Yan
College of Water Conservancy and Hydropower, Hebei University of
Engineering, Handan 056002, China
Jianfan Dong
Guangxi Water Resources Management Center, Nanning 530023, China
Chong-Yu Xu
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316 Oslo, Norway
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48 citations as recorded by crossref.
- Estimation of design precipitation in Beijing–Tianjin–Hebei region under a changing climate L. Yan et al. 10.1080/02626667.2022.2080554
- Future Joint Probability Characteristics of Extreme Precipitation in the Yellow River Basin F. Li et al. 10.3390/w15223957
- Extremeness of recent drought events in Switzerland: dependence on variable and return period choice M. Brunner et al. 10.5194/nhess-19-2311-2019
- The Use of GAMLSS Framework for a Non-Stationary Frequency Analysis of Annual Runoff Data over a Mediterranean Area P. Scala et al. 10.3390/w14182848
- Impacts of climate and reservoirs on the downstream design flood hydrograph: a case study of Yichang Station R. Li et al. 10.1007/s11069-022-05370-3
- Reducing uncertainty of design floods of two-component mixture distributions by utilizing flood timescale to classify flood types in seasonally snow covered region L. Yan et al. 10.1016/j.jhydrol.2019.04.056
- Quantifying uncertainty in multivariate quantile estimation of hydrometeorological extremes via copula: A comparison between bootstrapping and Markov chain Monte Carlo P. Yang & T. Ng 10.1002/joc.7493
- Estimating the scale parameter of the norming constants method in analysing nonstationary annual maximum floods W. Xu et al. 10.1002/hyp.14797
- Investigating risk, reliability and return period under the influence of large scale modes, and regional hydrological variability in hydrologic extremes J. Das & N. Umamahesh 10.1080/02626667.2021.1998512
- Postprocessing Ensemble Weather Forecasts for Introducing Multisite and Multivariable Correlations Using Rank Shuffle and Copula Theory J. Chen et al. 10.1175/MWR-D-21-0100.1
- Multidimensional risk meteorological-soil joint drought (MR-MSJD) in China’s crop planting Q. Wen 10.1007/s00477-024-02675-6
- Weakening flood, intensifying hydrological drought severity and decreasing drought probability in Northeast China W. Qi et al. 10.1016/j.ejrh.2021.100941
- Assessing the impacts of reservoirs on downstream hydrological frequency based on a general rainfall-reservoir index R. Li & G. Xu 10.3389/feart.2023.1204640
- Nonstationary Seasonal Design Flood Estimation: Exploring Mixed Copulas for the Nonmonotonic Dependence between Peak Discharge and Timing W. Li et al. 10.1061/JHYEFF.HEENG-6043
- Design flood estimation with varying record lengths in Norway under stationarity and nonstationarity scenarios L. Yan et al. 10.2166/nh.2021.026
- Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment L. Yan et al. 10.1002/wat2.1519
- A framework for determining lowest navigable water levels with nonstationary characteristics L. Wang et al. 10.1007/s00477-021-02058-1
- A hybrid statistical model for ecological risk integral assessment of PAHs in sediments W. Liu et al. 10.1016/j.jhydrol.2020.124612
- On future flood magnitudes and estimation uncertainty across 151 catchments in mainland China L. Gu et al. 10.1002/joc.6725
- Multivariate analysis of flood characteristics in Armand Watershed, Iran using vine copulas S. Amini et al. 10.1007/s12517-022-11102-5
- Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective B. Xiong et al. 10.1007/s00477-024-02680-9
- Derivation of nonstationary rainfall intensity-duration-frequency curves considering the impacts of climate change and urbanization L. Yan et al. 10.1016/j.uclim.2023.101701
- A nonstationary bivariate design flood estimation approach coupled with the most likely and expectation combination strategies Y. Hu et al. 10.1016/j.jhydrol.2021.127325
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
- Safety design for rivers-connected lake flood control based on Copula function: A case study of Lake Hongze L. Yun et al. 10.18307/2021.0320
- Climate-informed monthly runoff prediction model using machine learning and feature importance analysis L. Yan et al. 10.3389/fenvs.2022.1049840
- Non-Stationary Flood Frequency Analysis Using Cubic B-Spline-Based GAMLSS Model C. Qu et al. 10.3390/w12071867
- Flood Frequency Analysis Using Mixture Distributions in Light of Prior Flood Type Classification in Norway L. Yan et al. 10.3390/rs15020401
- Detection and attribution of flood responses to precipitation change and urbanization: a case study in Qinhuai River Basin, Southeast China G. Bian et al. 10.2166/nh.2020.063
- Nonstationary Frequency Analysis of Censored Data: A Case Study of the Floods in the Yangtze River From 1470 to 2017 B. Xiong et al. 10.1029/2020WR027112
- Nonstationary Design Flood Estimation in Response to Climate Change, Population Growth and Cascade Reservoir Regulation Y. Xie et al. 10.3390/w13192687
- Probabilistic Projections of Multidimensional Flood Risks at a Convection‐Permitting Scale B. Zhang et al. 10.1029/2020WR028582
- Flood risk analysis based on nested copula structure in Armand Basin, Iran S. Amini et al. 10.1007/s11600-022-00766-y
- Multivariate Dam-Site Flood Frequency Analysis of the Three Gorges Reservoir Considering Future Reservoir Regulation and Precipitation L. Xiong et al. 10.3390/w14020138
- Reliability assessment of marine structures considering multidimensional dependency of the variables O. Aghatise et al. 10.1016/j.oceaneng.2021.109021
- Multivariate Hazard Assessment for Nonstationary Seasonal Flood Extremes Considering Climate Change P. Xu et al. 10.1029/2020JD032780
- Safety design for water-carrying Lake flood control based on copula function: A Case study of the Hongze Lake, China Y. Luo et al. 10.1016/j.jhydrol.2021.126188
- Identification and evaluation of soil moisture flash drought by a nonstationary framework considering climate and land cover changes X. Zha et al. 10.1016/j.scitotenv.2022.158953
- Quantifying multivariate flood risk under nonstationary condition R. Li et al. 10.1007/s11069-022-05716-x
- On the Applicability of the Expected Waiting Time Method in Nonstationary Flood Design L. Yan et al. 10.1007/s11269-020-02581-w
- A River Network‐Based Hierarchical Model for Deriving Flood Frequency Distributions and Its Application to the Upper Yangtze Basin C. Jiang et al. 10.1029/2020WR029374
- Adaptation to seasonal drought in irrigation districts of south China: A copula-based fuzzy-flexible stochastic multi-objective approach for precise irrigation planning Q. Yue et al. 10.1016/j.jhydrol.2023.129986
- Nonstationary Flood Hazard Analysis in Response to Climate Change and Population Growth L. Yan et al. 10.3390/w11091811
- Nonstationary Regional Flood Frequency Analysis Based on the Bayesian Method S. Guo et al. 10.1007/s11269-022-03394-9
- River network-based index to clarify transmission of hydrological drought in reservoir-regulated basins M. Zhou et al. 10.1016/j.ejrh.2023.101604
- Detection and attribution of urbanization impact on summer extreme heat based on nonstationary models in the Yangtze River Delta, China P. Xu et al. 10.1016/j.uclim.2022.101376
- A Stepwise and Dynamic C-Vine Copula–Based Approach for Nonstationary Monthly Streamflow Forecasts P. Xu et al. 10.1061/(ASCE)HE.1943-5584.0002145
- Joint probability analysis of streamflow and sediment load based on hybrid copula X. Yang et al. 10.1007/s11356-023-25344-7
Latest update: 16 Apr 2024
Short summary
We present the methods addressing the multivariate hydrologic design applied to the engineering practice under nonstationary conditions. A dynamic C-vine copula allowing for both time-varying marginal distributions and a time-varying dependence structure is developed to capture the nonstationarities of multivariate flood distribution. Then, the multivariate hydrologic design under nonstationary conditions is estimated through specifying the design criterion by average annual reliability.
We present the methods addressing the multivariate hydrologic design applied to the engineering...
