59 citations as recorded by crossref.

1. Estimation of design precipitation in Beijing–Tianjin–Hebei region under a changing climate L. Yan et al. https://doi.org/10.1080/02626667.2022.2080554
2. Future Joint Probability Characteristics of Extreme Precipitation in the Yellow River Basin F. Li et al. https://doi.org/10.3390/w15223957
3. Extremeness of recent drought events in Switzerland: dependence on variable and return period choice M. Brunner et al. https://doi.org/10.5194/nhess-19-2311-2019
4. The Use of GAMLSS Framework for a Non-Stationary Frequency Analysis of Annual Runoff Data over a Mediterranean Area P. Scala et al. https://doi.org/10.3390/w14182848
5. Impacts of climate and reservoirs on the downstream design flood hydrograph: a case study of Yichang Station R. Li et al. https://doi.org/10.1007/s11069-022-05370-3
6. 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. https://doi.org/10.1016/j.jhydrol.2019.04.056
7. Multivariate return period and risk analysis of non-stationary extremes: dynamic drought severity-duration-frequency in India V. Sahana & A. Mondal https://doi.org/10.1007/s00477-025-03090-1
8. Quantifying uncertainty in multivariate quantile estimation of hydrometeorological extremes via copula: A comparison between bootstrapping and Markov chain Monte Carlo P. Yang & T. Ng https://doi.org/10.1002/joc.7493
9. Estimating the scale parameter of the norming constants method in analysing nonstationary annual maximum floods W. Xu et al. https://doi.org/10.1002/hyp.14797
10. Investigating risk, reliability and return period under the influence of large scale modes, and regional hydrological variability in hydrologic extremes J. Das & N. Umamahesh https://doi.org/10.1080/02626667.2021.1998512
11. Multidimensional risk meteorological-soil joint drought (MR-MSJD) in China’s crop planting Q. Wen https://doi.org/10.1007/s00477-024-02675-6
12. Weakening flood, intensifying hydrological drought severity and decreasing drought probability in Northeast China W. Qi et al. https://doi.org/10.1016/j.ejrh.2021.100941
13. Assessing the impacts of reservoirs on downstream hydrological frequency based on a general rainfall-reservoir index R. Li & G. Xu https://doi.org/10.3389/feart.2023.1204640
14. Nonstationary Seasonal Design Flood Estimation: Exploring Mixed Copulas for the Nonmonotonic Dependence between Peak Discharge and Timing W. Li et al. https://doi.org/10.1061/JHYEFF.HEENG-6043
15. Design flood estimation with varying record lengths in Norway under stationarity and nonstationarity scenarios L. Yan et al. https://doi.org/10.2166/nh.2021.026
16. Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment L. Yan et al. https://doi.org/10.1002/wat2.1519
17. A framework for determining lowest navigable water levels with nonstationary characteristics L. Wang et al. https://doi.org/10.1007/s00477-021-02058-1
18. Multivariate hydrological risk under heterogeneous conditions E. Gontara & F. Chebana https://doi.org/10.1016/j.jhydrol.2025.134588
19. A hybrid statistical model for ecological risk integral assessment of PAHs in sediments W. Liu et al. https://doi.org/10.1016/j.jhydrol.2020.124612
20. On future flood magnitudes and estimation uncertainty across 151 catchments in mainland China L. Gu et al. https://doi.org/10.1002/joc.6725
21. Multivariate analysis of flood characteristics in Armand Watershed, Iran using vine copulas S. Amini et al. https://doi.org/10.1007/s12517-022-11102-5
22. Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective B. Xiong et al. https://doi.org/10.1007/s00477-024-02680-9
23. Derivation of nonstationary rainfall intensity-duration-frequency curves considering the impacts of climate change and urbanization L. Yan et al. https://doi.org/10.1016/j.uclim.2023.101701
24. A nonstationary bivariate design flood estimation approach coupled with the most likely and expectation combination strategies Y. Hu et al. https://doi.org/10.1016/j.jhydrol.2021.127325
25. Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. https://doi.org/10.2166/nh.2022.137
26. Safety design for rivers-connected lake flood control based on Copula function: A case study of Lake Hongze L. Yun et al. https://doi.org/10.18307/2021.0320
27. Unraveling the nonstationary effect of climate change and urbanization on summer drought-heatwave coupling degree in Beijing-Tianjin-Hebei Area, China X. Xiang et al. https://doi.org/10.1016/j.ejrh.2025.102944
28. Climate-informed monthly runoff prediction model using machine learning and feature importance analysis L. Yan et al. https://doi.org/10.3389/fenvs.2022.1049840
29. Non-Stationary Flood Frequency Analysis Using Cubic B-Spline-Based GAMLSS Model C. Qu et al. https://doi.org/10.3390/w12071867
30. Flood Frequency Analysis Using Mixture Distributions in Light of Prior Flood Type Classification in Norway L. Yan et al. https://doi.org/10.3390/rs15020401
31. Spatio-temporal nonstationarity analysis and change point detection in multivariate hydrological time-series M. Osmani et al. https://doi.org/10.2166/hydro.2024.222
32. Detection and attribution of flood responses to precipitation change and urbanization: a case study in Qinhuai River Basin, Southeast China G. Bian et al. https://doi.org/10.2166/nh.2020.063
33. Nonstationary Frequency Analysis of Censored Data: A Case Study of the Floods in the Yangtze River From 1470 to 2017 B. Xiong et al. https://doi.org/10.1029/2020WR027112
34. Nonstationary Design Flood Estimation in Response to Climate Change, Population Growth and Cascade Reservoir Regulation Y. Xie et al. https://doi.org/10.3390/w13192687
35. Probabilistic Projections of Multidimensional Flood Risks at a Convection‐Permitting Scale B. Zhang et al. https://doi.org/10.1029/2020WR028582
36. Flood risk analysis based on nested copula structure in Armand Basin, Iran S. Amini et al. https://doi.org/10.1007/s11600-022-00766-y
37. Multivariate Dam-Site Flood Frequency Analysis of the Three Gorges Reservoir Considering Future Reservoir Regulation and Precipitation L. Xiong et al. https://doi.org/10.3390/w14020138
38. Copula‐Based Approach to Nonstationary Bivariate Frequency Analysis of Short‐Duration Precipitation Extremes in Huaihe River Basin, China H. Yang et al. https://doi.org/10.1002/joc.8855
39. Impacts of changing environments on seasonal propagation from precipitation to streamflow W. Li et al. https://doi.org/10.1016/j.jenvman.2025.126907
40. Reliability assessment of marine structures considering multidimensional dependency of the variables O. Aghatise et al. https://doi.org/10.1016/j.oceaneng.2021.109021
41. Multivariate Hazard Assessment for Nonstationary Seasonal Flood Extremes Considering Climate Change P. Xu et al. https://doi.org/10.1029/2020JD032780
42. Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea H. An et al. https://doi.org/10.1016/j.envsoft.2025.106471
43. Urban Flood Modeling for Sustainability Management: Role of Design Rainfall and Land Use D. Młyński et al. https://doi.org/10.3390/su16114805
44. Safety design for water-carrying Lake flood control based on copula function: A Case study of the Hongze Lake, China Y. Luo et al. https://doi.org/10.1016/j.jhydrol.2021.126188
45. A framework for analyzing spatial hydrological drought dependence based on extreme value theory and nonstationary copulas Y. Feng et al. https://doi.org/10.1016/j.jhydrol.2026.136076
46. Identification and evaluation of soil moisture flash drought by a nonstationary framework considering climate and land cover changes X. Zha et al. https://doi.org/10.1016/j.scitotenv.2022.158953
47. Derivation of optimal scheduling strategies for large-scale inter-basin water transfer projects considering streamflow wet-dry encounter uncertainty of multiple reservoirs H. Zhong et al. https://doi.org/10.1016/j.jhydrol.2025.133784
48. Quantifying multivariate flood risk under nonstationary condition R. Li et al. https://doi.org/10.1007/s11069-022-05716-x
49. On the Applicability of the Expected Waiting Time Method in Nonstationary Flood Design L. Yan et al. https://doi.org/10.1007/s11269-020-02581-w
50. A River Network‐Based Hierarchical Model for Deriving Flood Frequency Distributions and Its Application to the Upper Yangtze Basin C. Jiang et al. https://doi.org/10.1029/2020WR029374
51. Nonstationary multi-site design flood estimation and application to design flood regional composition analysis Y. Hu et al. https://doi.org/10.1016/j.jhydrol.2024.131538
52. 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. https://doi.org/10.1016/j.jhydrol.2023.129986
53. Nonstationary Flood Hazard Analysis in Response to Climate Change and Population Growth L. Yan et al. https://doi.org/10.3390/w11091811
54. Nonstationary Regional Flood Frequency Analysis Based on the Bayesian Method S. Guo et al. https://doi.org/10.1007/s11269-022-03394-9
55. Joint probabilistic assessments of four-dimensional flood characteristics using the vine copula-based methodology N. Jafry et al. https://doi.org/10.1007/s12665-024-11743-7
56. River network-based index to clarify transmission of hydrological drought in reservoir-regulated basins M. Zhou et al. https://doi.org/10.1016/j.ejrh.2023.101604
57. Detection and attribution of urbanization impact on summer extreme heat based on nonstationary models in the Yangtze River Delta, China P. Xu et al. https://doi.org/10.1016/j.uclim.2022.101376
58. A Stepwise and Dynamic C-Vine Copula–Based Approach for Nonstationary Monthly Streamflow Forecasts P. Xu et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002145
59. Joint probability analysis of streamflow and sediment load based on hybrid copula X. Yang et al. https://doi.org/10.1007/s11356-023-25344-7