Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-1525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Feb 2018
Research article |
| 28 Feb 2018
Multiple causes of nonstationarity in the Weihe annual low-flow series
Bin Xiong
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, P.R. China
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, P.R. China
Jie Chen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, P.R. China
Chong-Yu Xu
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, P.R. China
Department of Geosciences, University of Oslo, P.O. Box 1022 Blindern,
0315 Oslo, Norway
Lingqi Li
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, P.R. China
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- Streamflow variability in the past four centuries for the largest tributary of the Yellow River and its teleconnection with large‐scale climate forcing G. Bao et al. 10.1002/joc.7479
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- An integrated approach for identification and quantification of ecological drought in rivers from an ecological streamflow perspective S. Jiang et al. 10.1016/j.ecolind.2022.109410
- Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing S. Liu et al. 10.1016/j.scitotenv.2019.06.025
- Failure of inland valleys development: a hydrological diagnosis of the Bankandi valley in Burkina Faso Y. Yacouba et al. 10.1007/s40808-019-00628-5
- Analysis of nonstationarity in low flow in the Loess Plateau of China K. Yu et al. 10.1002/hyp.11629
- Exploring multidecadal changes in climate and reservoir storage for assessing nonstationarity in flood peaks and risks worldwide by an integrated frequency analysis approach Y. Zhou 10.1016/j.watres.2020.116265
- Evaluation of non-stationarity in summer precipitation and the response of vegetation over the typical steppe in Inner Mongolia Y. Wang et al. 10.1007/s00382-021-06002-5
- Nonstationary flood and low flow frequency analysis in the upper reaches of Huaihe River Basin, China, using climatic variables and reservoir index as covariates M. Wang et al. 10.1016/j.jhydrol.2022.128266
- Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. 10.5194/hess-24-1347-2020
- Non‐Stationary Influences of Large‐Scale Climate Drivers on Low Flow Extremes in Southeast Australia P. Goswami et al. 10.1029/2021WR031508
- Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region, China X. Song et al. 10.1016/j.atmosres.2020.105006
- Nonstationary Design Flood Estimation in Response to Climate Change, Population Growth and Cascade Reservoir Regulation Y. Xie et al. 10.3390/w13192687
- Baseflow variations and its causes in a subtropical watershed of southern China Z. Liu et al. 10.1007/s11629-022-7394-6
- When to start an adaptation strategy in response to climate change in reservoir system management W. Zhang et al. 10.1016/j.jhydrol.2021.127111
- Evaluation of the Stationarity Assumption for Meteorological Drought Risk Estimation at the Multidecadal Scale in Contiguous United States T. Apurv & X. Cai 10.1029/2018WR024047
- A probabilistic framework for robust master recession curve parameterization M. Gao et al. 10.1016/j.jhydrol.2023.129922
- Separating runoff change by the improved Budyko complementary relationship considering effects of both climate change and human activities on basin characteristics H. Yang et al. 10.1016/j.jhydrol.2020.125330
- Water security assessment for effective water resource management based on multi-temporal blue and green water footprints B. Ding et al. 10.1016/j.jhydrol.2024.130761
- Assessing the impacts of reservoirs on downstream flood frequency by coupling the effect of scheduling-related multivariate rainfall with an indicator of reservoir effects B. Xiong et al. 10.5194/hess-23-4453-2019
- Estimation of design precipitation in Beijing–Tianjin–Hebei region under a changing climate L. Yan et al. 10.1080/02626667.2022.2080554
20 citations as recorded by crossref.
- Streamflow variability in the past four centuries for the largest tributary of the Yellow River and its teleconnection with large‐scale climate forcing G. Bao et al. 10.1002/joc.7479
- Quantifying climate change impacts on low flows of small high mountain watersheds: A nonstationary approach M. Hasan et al. 10.1016/j.ejrh.2023.101463
- An integrated approach for identification and quantification of ecological drought in rivers from an ecological streamflow perspective S. Jiang et al. 10.1016/j.ecolind.2022.109410
- Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing S. Liu et al. 10.1016/j.scitotenv.2019.06.025
- Failure of inland valleys development: a hydrological diagnosis of the Bankandi valley in Burkina Faso Y. Yacouba et al. 10.1007/s40808-019-00628-5
- Analysis of nonstationarity in low flow in the Loess Plateau of China K. Yu et al. 10.1002/hyp.11629
- Exploring multidecadal changes in climate and reservoir storage for assessing nonstationarity in flood peaks and risks worldwide by an integrated frequency analysis approach Y. Zhou 10.1016/j.watres.2020.116265
- Evaluation of non-stationarity in summer precipitation and the response of vegetation over the typical steppe in Inner Mongolia Y. Wang et al. 10.1007/s00382-021-06002-5
- Nonstationary flood and low flow frequency analysis in the upper reaches of Huaihe River Basin, China, using climatic variables and reservoir index as covariates M. Wang et al. 10.1016/j.jhydrol.2022.128266
- Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. 10.5194/hess-24-1347-2020
- Non‐Stationary Influences of Large‐Scale Climate Drivers on Low Flow Extremes in Southeast Australia P. Goswami et al. 10.1029/2021WR031508
- Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region, China X. Song et al. 10.1016/j.atmosres.2020.105006
- Nonstationary Design Flood Estimation in Response to Climate Change, Population Growth and Cascade Reservoir Regulation Y. Xie et al. 10.3390/w13192687
- Baseflow variations and its causes in a subtropical watershed of southern China Z. Liu et al. 10.1007/s11629-022-7394-6
- When to start an adaptation strategy in response to climate change in reservoir system management W. Zhang et al. 10.1016/j.jhydrol.2021.127111
- Evaluation of the Stationarity Assumption for Meteorological Drought Risk Estimation at the Multidecadal Scale in Contiguous United States T. Apurv & X. Cai 10.1029/2018WR024047
- A probabilistic framework for robust master recession curve parameterization M. Gao et al. 10.1016/j.jhydrol.2023.129922
- Separating runoff change by the improved Budyko complementary relationship considering effects of both climate change and human activities on basin characteristics H. Yang et al. 10.1016/j.jhydrol.2020.125330
- Water security assessment for effective water resource management based on multi-temporal blue and green water footprints B. Ding et al. 10.1016/j.jhydrol.2024.130761
- Assessing the impacts of reservoirs on downstream flood frequency by coupling the effect of scheduling-related multivariate rainfall with an indicator of reservoir effects B. Xiong et al. 10.5194/hess-23-4453-2019
1 citations as recorded by crossref.
Latest update: 19 Apr 2024
Short summary
In changing environments, extreme low-flow events are expected to increase. Frequency analysis of low-flow events considering the impacts of changing environments has attracted increasing attention. This study developed a frequency analysis framework by applying 11 indices to trace the main causes of the change in the annual extreme low-flow events of the Weihe River. We showed that the fluctuation in annual low-flow series was affected by climate, streamflow recession and irrigation area.
In changing environments, extreme low-flow events are expected to increase. Frequency analysis...
