Articles | Volume 14, issue 5
https://doi.org/10.5194/nhess-14-1125-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-14-1125-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 May 2014
Research article |
| 16 May 2014
Non-stationarity in annual and seasonal series of peak flow and precipitation in the UK
I. Prosdocimi
Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
T. R. Kjeldsen
Department of Architecture and Civil Engineering, University of Bath, Bath, UK
C. Svensson
Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
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66 citations as recorded by crossref.
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- Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel 10.1016/j.advwatres.2017.11.026
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- Reliability, return periods, and risk under nonstationarity L. Read & R. Vogel 10.1002/2015WR017089
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- Spatio-temporal clustering of extreme floods in Great Britain G. Formetta et al. 10.1080/02626667.2024.2367167
- Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States A. Luke et al. 10.1002/2016WR019676
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- Correlation between climate and flood indices in Northwestern Italy at different temporal scales M. Pesce et al. 10.2478/johh-2022-0009
- Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology F. Serinaldi et al. 10.1016/j.advwatres.2017.10.015
- Flood trends in Europe: are changes in small and big floods different? M. Bertola et al. 10.5194/hess-24-1805-2020
- Understanding flood regime changes in Europe: a state-of-the-art assessment J. Hall et al. 10.5194/hess-18-2735-2014
- Non-stationary future return levels for extreme rainfall over Extremadura (southwestern Iberian Peninsula) F. Acero et al. 10.1080/02626667.2017.1328559
- On the Stationarity of Annual Precipitation over China (1959–2018) H. Wang & F. Sun 10.1175/JHM-D-19-0195.1
- Flood hazard map of the Becho floodplain, Ethiopia, using nonstationary frequency model S. Tola & A. Shetty 10.1007/s11600-023-01074-9
- Stationary vs non-stationary modelling of flood frequency distribution across northwest England S. Hesarkazzazi et al. 10.1080/02626667.2021.1884685
- Nonstationary frequency pairing reveals a highly sensitive peak flow regime to harvesting across a wide range of return periods X. Yu & Y. Alila 10.1016/j.foreco.2019.04.008
- Determinación de la variabilidad de la curva de duración de caudales por efectos no estacionarios en Colombia C. Gaviria & L. Carvajal-Serna 10.4995/ia.2020.13556
- To what extent have changes in channel capacity contributed to flood hazard trends in England and Wales? L. Slater 10.1002/esp.3927
- Spatiotemporal modeling of hydrological return levels: A quantile regression approach M. Franco‐Villoria et al. 10.1002/env.2522
- The challenges of including historical events using Bayesian methods to improve flood flow estimates in the United Kingdom: A practitioner's point of view D. Lumbroso et al. 10.1111/jfr3.12525
62 citations as recorded by crossref.
- Attribution of long-term changes in peak river flows in Great Britain A. Brady et al. 10.1080/02626667.2019.1628964
- Climate change and water in the UK: Recent scientific evidence for past and future change G. Garner et al. 10.1177/0309133316679082
- Assessment and significance of the frequency domain for trends in annual peak streamflow C. Konrad & D. Restivo 10.1111/jfr3.12761
- At-site flood frequency analysis in Brazil M. Valentini et al. 10.1007/s11069-023-06231-3
- An investigation on the non-stationarity of flood frequency across the UK M. Chen et al. 10.1016/j.jhydrol.2021.126309
- Hydroclimatology of extreme river flows G. Garner et al. 10.1111/fwb.12667
- CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological and other applications V. Keller et al. 10.5194/essd-7-143-2015
- Have trends changed over time? A study of UK peak flow data and sensitivity to observation period A. Griffin et al. 10.5194/nhess-19-2157-2019
- Nonstationarity in maximum annual daily streamflow series from Southern Brazil D. Bartiko et al. 10.1590/2318-0331.0217170054
- Updating estimates of low-streamflow statistics to account for possible trends A. Blum et al. 10.1080/02626667.2019.1655148
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- On the power of popular two-sample tests applied to precipitation and discharge series G. Mascaro 10.1007/s00477-024-02709-z
- Probability Distribution of Waiting Time of the kth Extreme Event under Serial Dependence F. Serinaldi & F. Lombardo 10.1061/(ASCE)HE.1943-5584.0001923
- Incorporating sedimentological data in UK flood frequency estimation S. Longfield et al. 10.1111/jfr3.12449
- Comparison of time trend- and precipitation-informed models for assessing design discharges in variable climate M. Šraj & N. Bezak 10.1016/j.jhydrol.2020.125374
- Hazard function analysis for flood planning under nonstationarity L. Read & R. Vogel 10.1002/2015WR018370
- Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. 10.5194/hess-25-1347-2021
- Assessment of trends in hydrological extremes using regional magnification factors T. Kjeldsen & I. Prosdocimi 10.1016/j.advwatres.2021.103852
- An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding? J. Hannaford et al. 10.2166/nh.2021.156
- Linear, nonlinear, parametric and nonparametric regression models for nonstationary flood frequency analysis M. Chen et al. 10.1016/j.jhydrol.2022.128772
- Hazard function theory for nonstationary natural hazards L. Read & R. Vogel 10.5194/nhess-16-915-2016
- Informed attribution of flood changes to decadal variation of atmospheric, catchment and river drivers in Upper Austria M. Bertola et al. 10.1016/j.jhydrol.2019.123919
- Can we still predict the future from the past? Implementing non‐stationary flood frequency analysis in the UK D. Faulkner et al. 10.1111/jfr3.12582
- Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information E. Steirou et al. 10.1038/s41598-022-16633-1
- A comparison of estimators of the conditional mean under non-stationary conditions R. Vogel & C. Kroll 10.1016/j.advwatres.2020.103672
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. 10.5194/hess-25-3897-2021
- Identification of coherent flood regions across Europe by using the longest streamflow records L. Mediero et al. 10.1016/j.jhydrol.2015.06.016
- The influence of non-stationarity in extreme hydrological events on flood frequency estimation M. Šraj et al. 10.1515/johh-2016-0032
- Areal Models for Spatially Coherent Trend Detection: The Case of British Peak River Flows I. Prosdocimi et al. 10.1029/2019GL085142
- Comparison of four nonstationary hydrologic design methods for changing environment L. Yan et al. 10.1016/j.jhydrol.2017.06.001
- Using climate information as covariates to improve nonstationary flood frequency analysis in Brazil G. Anzolin et al. 10.1080/02626667.2023.2182212
- Streamflow trends and flood frequency analysis: a regional study of the UK F. Di Nunno et al. 10.1007/s11356-024-34774-w
- The Features of the Cyclical Fluctuations, Homogeneity and Stationarity of the Average Annual Flow of the Southern Buh River Basin T. Bauzha & L. Gorbachova 10.1515/avutgs-2017-0001
- Parsimonious nonstationary flood frequency analysis J. Serago & R. Vogel 10.1016/j.advwatres.2017.11.026
- Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone V. Aich et al. 10.3390/w7062796
- Evaluating the effectiveness of catchment-scale approaches in mitigating urban surface water flooding C. Ferguson & R. Fenner 10.1098/rsta.2019.0203
- The impact of seasonal flood peak dependence on annual maxima design quantiles S. Debele et al. 10.1080/02626667.2017.1328558
- Modelling non-stationary flood frequency in England and Wales using physical covariates D. Faulkner et al. 10.2166/nh.2024.134
- Long-term temporal structure of catchment sediment response to precipitation in a humid mountain badland area C. Juez & E. Nadal-Romero 10.1016/j.jhydrol.2020.125723
- Estimating flood recurrence uncertainty for non-stationary regimes Y. Gomes et al. 10.1590/2318-0331.282320230031
- TEMPORAL CHANGE PREDICTABILITY OF EXTREME BASIN RAINFALL USING THE 150-YEAR SEAMLESS EXPERIMENT WITH NON-STATIONARY FREQUENCY ANALYSIS T. TANAKA et al. 10.2208/jscejj.22-00096
- Reliability, return periods, and risk under nonstationarity L. Read & R. Vogel 10.1002/2015WR017089
- Investigation of Trends and Nonstationarity in Hydrologic Variables in the Western Black Sea Basin, Turkey H. Zaifoglu et al. 10.1061/(ASCE)HE.1943-5584.0002182
- Techniques for assessing water infrastructure for nonstationary extreme events: a review J. Salas et al. 10.1080/02626667.2018.1426858
- Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models I. Prosdocimi et al. 10.1002/2015WR017065
- Non Stationary Analysis of Extreme Events A. Cancelliere 10.1007/s11269-017-1724-4
- Design considerations for riverine floods in a changing climate – A review B. François et al. 10.1016/j.jhydrol.2019.04.068
- Contribution of urbanisation to non-stationary river flow in the UK S. Han et al. 10.1016/j.jhydrol.2022.128417
- A bivariate trend analysis to investigate the effect of increasing urbanisation on flood characteristics A. Requena et al. 10.2166/nh.2016.105
- Updating urban design floods for changes in central tendency and variability using regression J. Hecht & R. Vogel 10.1016/j.advwatres.2019.103484
- Spatio-temporal clustering of extreme floods in Great Britain G. Formetta et al. 10.1080/02626667.2024.2367167
- Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States A. Luke et al. 10.1002/2016WR019676
- Intensification of sub-daily rainfall extremes in a low-rise urban area J. Huang et al. 10.1016/j.uclim.2022.101124
- Correlation between climate and flood indices in Northwestern Italy at different temporal scales M. Pesce et al. 10.2478/johh-2022-0009
- Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology F. Serinaldi et al. 10.1016/j.advwatres.2017.10.015
- Flood trends in Europe: are changes in small and big floods different? M. Bertola et al. 10.5194/hess-24-1805-2020
- Understanding flood regime changes in Europe: a state-of-the-art assessment J. Hall et al. 10.5194/hess-18-2735-2014
- Non-stationary future return levels for extreme rainfall over Extremadura (southwestern Iberian Peninsula) F. Acero et al. 10.1080/02626667.2017.1328559
- On the Stationarity of Annual Precipitation over China (1959–2018) H. Wang & F. Sun 10.1175/JHM-D-19-0195.1
- Flood hazard map of the Becho floodplain, Ethiopia, using nonstationary frequency model S. Tola & A. Shetty 10.1007/s11600-023-01074-9
- Stationary vs non-stationary modelling of flood frequency distribution across northwest England S. Hesarkazzazi et al. 10.1080/02626667.2021.1884685
- Nonstationary frequency pairing reveals a highly sensitive peak flow regime to harvesting across a wide range of return periods X. Yu & Y. Alila 10.1016/j.foreco.2019.04.008
4 citations as recorded by crossref.
- Determinación de la variabilidad de la curva de duración de caudales por efectos no estacionarios en Colombia C. Gaviria & L. Carvajal-Serna 10.4995/ia.2020.13556
- To what extent have changes in channel capacity contributed to flood hazard trends in England and Wales? L. Slater 10.1002/esp.3927
- Spatiotemporal modeling of hydrological return levels: A quantile regression approach M. Franco‐Villoria et al. 10.1002/env.2522
- The challenges of including historical events using Bayesian methods to improve flood flow estimates in the United Kingdom: A practitioner's point of view D. Lumbroso et al. 10.1111/jfr3.12525
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