Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4453-2019
© 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-23-4453-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Oct 2019
Research article |
| 30 Oct 2019
Assessing the impacts of reservoirs on downstream flood frequency by coupling the effect of scheduling-related multivariate rainfall with an indicator of reservoir effects
Bin Xiong
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Jun Xia
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Chong-Yu Xu
Department of Geosciences, University of Oslo, P.O. Box 1022 Blindern, 0315 Oslo, Norway
Cong Jiang
School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
Tao Du
Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China
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Hydrol. Earth Syst. Sci., 23, 1683–1704, https://doi.org/10.5194/hess-23-1683-2019, https://doi.org/10.5194/hess-23-1683-2019, 2019
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Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 5735–5739, https://doi.org/10.5194/hess-22-5735-2018, https://doi.org/10.5194/hess-22-5735-2018, 2018
Hong Li, Jan Erik Haugen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 22, 5097–5110, https://doi.org/10.5194/hess-22-5097-2018, https://doi.org/10.5194/hess-22-5097-2018, 2018
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Hui-Min Wang, Jie Chen, Alex J. Cannon, Chong-Yu Xu, and Hua Chen
Hydrol. Earth Syst. Sci., 22, 3739–3759, https://doi.org/10.5194/hess-22-3739-2018, https://doi.org/10.5194/hess-22-3739-2018, 2018
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Bin Xiong, Lihua Xiong, Jie Chen, Chong-Yu Xu, and Lingqi Li
Hydrol. Earth Syst. Sci., 22, 1525–1542, https://doi.org/10.5194/hess-22-1525-2018, https://doi.org/10.5194/hess-22-1525-2018, 2018
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Diana Fuentes-Andino, Keith Beven, Sven Halldin, Chong-Yu Xu, José Eduardo Reynolds, and Giuliano Di Baldassarre
Hydrol. Earth Syst. Sci., 21, 3597–3618, https://doi.org/10.5194/hess-21-3597-2017, https://doi.org/10.5194/hess-21-3597-2017, 2017
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Hong Wang, Fubao Sun, Jun Xia, and Wenbin Liu
Hydrol. Earth Syst. Sci., 21, 1929–1945, https://doi.org/10.5194/hess-21-1929-2017, https://doi.org/10.5194/hess-21-1929-2017, 2017
Sharad K. Jain, Sanjay K. Jain, Neha Jain, and Chong-Yu Xu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-100, https://doi.org/10.5194/hess-2017-100, 2017
Manuscript not accepted for further review
Xingguo Mo, Xuejuan Chen, Shi Hu, Suxia Liu, and Jun Xia
Hydrol. Earth Syst. Sci., 21, 295–310, https://doi.org/10.5194/hess-21-295-2017, https://doi.org/10.5194/hess-21-295-2017, 2017
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Attributing changes in ET and GPP is crucial to impact and adaptation assessment of climate change over the NCP. Simulations with the VIP ecohydrological model illustrated relative contributions of climatic change, CO2 fertilization, and management to ET and GPP. Global radiation was the cause of GPP decline in summer, while air warming intensified the water cycle and advanced plant productivity in spring. Agronomical improvement was the main driver of crop productivity enhancement.
Lingqi Li, Lihua Xiong, Chong-Yu Xu, Shenglian Guo, and Pan Liu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-619, https://doi.org/10.5194/hess-2016-619, 2016
Revised manuscript not accepted
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The study offers insights into future design floods that are inferred with both AM and POT samplings under nonstationarity caused by changing climate. Future design floods in nonstationarity context are usually (lower than) but not necessarily more different from stationary estimates. AM-based projection is more sensitive to climate change than POT estimates. The over-dispersion in POT arrival rate leads to the invalidation of Poisson assumption that the misuse may induce overestimated floods.
Quan Zhang, Hui-Min Lei, Da-Wen Yang, Lihua Xiong, and Beijing Fang
Biogeosciences Discuss., https://doi.org/10.5194/bg-2016-484, https://doi.org/10.5194/bg-2016-484, 2016
Revised manuscript not accepted
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With the increasing concern about global warming, investigating carbon cycle becomes imperative to predict future climate trend. As cropland has great potentials in mitigating carbon emissions, therefore we designed a comprehensive carbon budget assessment in a typical cropland in North China Plain, the results indicate the high groundwater table contributes to carbon sink of this cropland. The conclusion confirms that field management has profound effect on cropland carbon cycle.
J. E. Reynolds, S. Halldin, C. Y. Xu, J. Seibert, and A. Kauffeldt
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-7437-2015, https://doi.org/10.5194/hessd-12-7437-2015, 2015
Revised manuscript not accepted
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In this study it was found that time-scale dependencies of hydrological model parameters are a result of the numerical method used in the model rather than a real time-scale-data dependence. This study further indicates that as soon as sub-daily driving data can be secured, flood forecasting in watersheds with sub-daily concentration times is possible with model parameter values inferred from long time series of daily data, as long as an appropriate numerical method is used.
A. Kauffeldt, S. Halldin, A. Rodhe, C.-Y. Xu, and I. K. Westerberg
Hydrol. Earth Syst. Sci., 17, 2845–2857, https://doi.org/10.5194/hess-17-2845-2013, https://doi.org/10.5194/hess-17-2845-2013, 2013
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Subject: Engineering Hydrology | Techniques and Approaches: Modelling approaches
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Manuela Irene Brunner
Hydrol. Earth Syst. Sci., 27, 2479–2497, https://doi.org/10.5194/hess-27-2479-2023, https://doi.org/10.5194/hess-27-2479-2023, 2023
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I discuss different types of multivariate hydrological extremes and their dependencies, including regional extremes affecting multiple locations, such as spatially connected flood events; consecutive extremes occurring in close temporal succession, such as successive droughts; extremes characterized by multiple characteristics, such as floods with jointly high peak discharge and flood volume; and transitions between different types of extremes, such as drought-to-flood transitions.
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Hydrol. Earth Syst. Sci., 27, 2499–2507, https://doi.org/10.5194/hess-27-2499-2023, https://doi.org/10.5194/hess-27-2499-2023, 2023
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The proposed approach is based on the parameterisation of flow duration curves (FDCs) to generate hypothetical streamflow futures. (1) We sample a broad range of future climates with modified values of three key streamflow statistics. (2) We generate an FDC for each hydro-climate future. (3) The resulting ensemble is ready to support robustness assessments in a changing climate. Our approach seamlessly represents a large range of futures with increased frequencies of both high and low flows.
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Hydrol. Earth Syst. Sci., 26, 4345–4378, https://doi.org/10.5194/hess-26-4345-2022, https://doi.org/10.5194/hess-26-4345-2022, 2022
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Manuela I. Brunner and Louise J. Slater
Hydrol. Earth Syst. Sci., 26, 469–482, https://doi.org/10.5194/hess-26-469-2022, https://doi.org/10.5194/hess-26-469-2022, 2022
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Assessing the rarity and magnitude of very extreme flood events occurring less than twice a century is challenging due to the lack of observations of such rare events. Here we develop a new approach, pooling reforecast ensemble members from the European Flood Awareness System to increase the sample size available to estimate the frequency of extreme flood events. We demonstrate that such ensemble pooling produces more robust estimates than observation-based estimates.
Thorsten Wagener, Dragan Savic, David Butler, Reza Ahmadian, Tom Arnot, Jonathan Dawes, Slobodan Djordjevic, Roger Falconer, Raziyeh Farmani, Debbie Ford, Jan Hofman, Zoran Kapelan, Shunqi Pan, and Ross Woods
Hydrol. Earth Syst. Sci., 25, 2721–2738, https://doi.org/10.5194/hess-25-2721-2021, https://doi.org/10.5194/hess-25-2721-2021, 2021
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How can we effectively train PhD candidates both (i) across different knowledge domains in water science and engineering and (ii) in computer science? To address this issue, the Water Informatics in Science and Engineering Centre for Doctoral Training (WISE CDT) offers a postgraduate programme that fosters enhanced levels of innovation and collaboration by training a cohort of engineers and scientists at the boundary of water informatics, science and engineering.
Onno Bokhove, Tiffany Hicks, Wout Zweers, and Thomas Kent
Hydrol. Earth Syst. Sci., 24, 2483–2503, https://doi.org/10.5194/hess-24-2483-2020, https://doi.org/10.5194/hess-24-2483-2020, 2020
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Wetropolis is a
table-topdemonstration model with extreme rainfall and flooding, including random rainfall, river flow, flood plains, an upland reservoir, a porous moor, and a city which can flood. It lets the viewer experience extreme rainfall and flood events in a physical model on reduced spatial and temporal scales with an event return period of 6.06 min rather than, say, 200 years. We disseminate its mathematical design and how it has been shown most prominently to over 500 flood victims.
Gianfranco Urciuoli, Luca Comegna, Marianna Pirone, and Luciano Picarelli
Hydrol. Earth Syst. Sci., 24, 1669–1676, https://doi.org/10.5194/hess-24-1669-2020, https://doi.org/10.5194/hess-24-1669-2020, 2020
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The aim of this paper is to demonstrate, through a numerical approach, that the presence of soil layers of higher permeability, a not unlikely condition in some deep landslides in clay, may be exploited to improve the efficiency of systems of drainage trenches for slope stabilization. The problem has been examined for the case that a unique pervious layer, parallel to the ground surface, is present at an elevation higher than the bottom of the trenches.
Elizabeth S. Cooper, Sarah L. Dance, Javier García-Pintado, Nancy K. Nichols, and Polly J. Smith
Hydrol. Earth Syst. Sci., 23, 2541–2559, https://doi.org/10.5194/hess-23-2541-2019, https://doi.org/10.5194/hess-23-2541-2019, 2019
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Flooding from rivers is a huge and costly problem worldwide. Computer simulations can help to warn people if and when they are likely to be affected by river floodwater, but such predictions are not always accurate or reliable. Information about flood extent from satellites can help to keep these forecasts on track. Here we investigate different ways of using information from satellite images and look at the effect on computer predictions. This will help to develop flood warning systems.
Bart van Osnabrugge, Remko Uijlenhoet, and Albrecht Weerts
Hydrol. Earth Syst. Sci., 23, 1453–1467, https://doi.org/10.5194/hess-23-1453-2019, https://doi.org/10.5194/hess-23-1453-2019, 2019
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A correct estimate of the amount of future precipitation is the most important factor in making a good streamflow forecast, but evaporation is also an important component that determines the discharge of a river. However, in this study for the Rhine River we found that evaporation forecasts only give an almost negligible improvement compared to methods that use statistical information on climatology for a 10-day streamflow forecast. This is important to guide research on low flow forecasts.
Cédric Rebolho, Vazken Andréassian, and Nicolas Le Moine
Hydrol. Earth Syst. Sci., 22, 5967–5985, https://doi.org/10.5194/hess-22-5967-2018, https://doi.org/10.5194/hess-22-5967-2018, 2018
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Inundation models are useful for hazard management and prevention. They are traditionally based on hydraulic partial differential equations (with satisfying results but large data and computational requirements). This study presents a simplified approach combining reach-scale geometric properties with steady uniform flow equations. The model shows promising results overall, although difficulties persist in the most complex urbanised reaches.
Andreas Paul Zischg, Guido Felder, Rolf Weingartner, Niall Quinn, Gemma Coxon, Jeffrey Neal, Jim Freer, and Paul Bates
Hydrol. Earth Syst. Sci., 22, 2759–2773, https://doi.org/10.5194/hess-22-2759-2018, https://doi.org/10.5194/hess-22-2759-2018, 2018
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We developed a model experiment and distributed different rainfall patterns over a mountain river basin. For each rainfall scenario, we computed the flood losses with a model chain. The experiment shows that flood losses vary considerably within the river basin and depend on the timing of the flood peaks from the basin's sub-catchments. Basin-specific characteristics such as the location of the main settlements within the floodplains play an additional important role in determining flood losses.
Guillaume Le Bihan, Olivier Payrastre, Eric Gaume, David Moncoulon, and Frédéric Pons
Hydrol. Earth Syst. Sci., 21, 5911–5928, https://doi.org/10.5194/hess-21-5911-2017, https://doi.org/10.5194/hess-21-5911-2017, 2017
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This paper illustrates how an integrated flash flood monitoring (or forecasting) system may be designed to directly provide information on possibly flooded areas and associated impacts on a very detailed river network and over large territories. The approach is extensively tested in the regions of Alès and Draguignan, located in south-eastern France. Validation results are presented in terms of accuracy of the estimated flood extents and related impacts (based on insurance claim data).
Ashley Wright, Jeffrey P. Walker, David E. Robertson, and Valentijn R. N. Pauwels
Hydrol. Earth Syst. Sci., 21, 3827–3838, https://doi.org/10.5194/hess-21-3827-2017, https://doi.org/10.5194/hess-21-3827-2017, 2017
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The accurate reduction of hydrologic model input data is an impediment towards understanding input uncertainty and model structural errors. This paper compares the ability of two transforms to reduce rainfall input data. The resultant transforms are compressed to varying extents and reconstructed before being evaluated with standard simulation performance summary metrics and descriptive statistics. It is concluded the discrete wavelet transform is most capable of preserving rainfall time series.
Ricardo Zubieta, Augusto Getirana, Jhan Carlo Espinoza, Waldo Lavado-Casimiro, and Luis Aragon
Hydrol. Earth Syst. Sci., 21, 3543–3555, https://doi.org/10.5194/hess-21-3543-2017, https://doi.org/10.5194/hess-21-3543-2017, 2017
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This paper indicates that precipitation data derived from GPM-IMERG correspond more closely to TMPA V7 than TMPA RT datasets, but both GPM-IMERG and TMPA V7 precipitation data tend to overestimate, in comparison to observed rainfall (by 11.1 % and 15.7 %, respectively). Statistical analysis indicates that GPM-IMERG is as useful as TMPA V7 or TMPA RT datasets for estimating observed streamflows in Andean–Amazonian regions (Ucayali Basin, southern regions of the Amazon Basin of Peru and Ecuador).
Anna Botto, Daniele Ganora, Pierluigi Claps, and Francesco Laio
Hydrol. Earth Syst. Sci., 21, 3353–3358, https://doi.org/10.5194/hess-21-3353-2017, https://doi.org/10.5194/hess-21-3353-2017, 2017
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The paper provides an easy-to-use implementation of the UNCODE framework, which allows one to estimate the design flood value by directly accounting for sample uncertainty. Other than a design tool, this methodology is also a practical way to quantify the value of data in the design process.
Amin Elshorbagy, Raja Bharath, Anchit Lakhanpal, Serena Ceola, Alberto Montanari, and Karl-Erich Lindenschmidt
Hydrol. Earth Syst. Sci., 21, 2219–2232, https://doi.org/10.5194/hess-21-2219-2017, https://doi.org/10.5194/hess-21-2219-2017, 2017
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Flood mapping is one of Canada's major national interests. This work presents a simple and effective method for large-scale flood hazard and risk mapping, applied in this study to Canada. Readily available data, such as remote sensing night-light data, topography, and stream network were used to create the maps.
D. C. Verdon-Kidd and A. S. Kiem
Hydrol. Earth Syst. Sci., 19, 4735–4746, https://doi.org/10.5194/hess-19-4735-2015, https://doi.org/10.5194/hess-19-4735-2015, 2015
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Rainfall intensity-frequency-duration (IFD) relationships are required for the design and planning of water supply and management systems around the world. Currently IFD information is based on the "stationary climate assumption". However, this paper provides evidence of regime shifts in annual maxima rainfall time series using 96 daily rainfall stations and 66 sub-daily rainfall stations across Australia. Importantly, current IFD relationships may under- or overestimate the design rainfall.
P. A. Marker, N. Foged, X. He, A. V. Christiansen, J. C. Refsgaard, E. Auken, and P. Bauer-Gottwein
Hydrol. Earth Syst. Sci., 19, 3875–3890, https://doi.org/10.5194/hess-19-3875-2015, https://doi.org/10.5194/hess-19-3875-2015, 2015
H. Vernieuwe, S. Vandenberghe, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 19, 2685–2699, https://doi.org/10.5194/hess-19-2685-2015, https://doi.org/10.5194/hess-19-2685-2015, 2015
H. Vuollekoski, M. Vogt, V. A. Sinclair, J. Duplissy, H. Järvinen, E.-M. Kyrö, R. Makkonen, T. Petäjä, N. L. Prisle, P. Räisänen, M. Sipilä, J. Ylhäisi, and M. Kulmala
Hydrol. Earth Syst. Sci., 19, 601–613, https://doi.org/10.5194/hess-19-601-2015, https://doi.org/10.5194/hess-19-601-2015, 2015
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The global potential for collecting usable water from dew on an
artificial collector sheet was investigated by utilising 34 years of
meteorological reanalysis data as input to a dew formation model. Continental dew formation was found to be frequent and common, but daily yields were
mostly below 0.1mm.
D. E. Mora, L. Campozano, F. Cisneros, G. Wyseure, and P. Willems
Hydrol. Earth Syst. Sci., 18, 631–648, https://doi.org/10.5194/hess-18-631-2014, https://doi.org/10.5194/hess-18-631-2014, 2014
M. T. Pham, W. J. Vanhaute, S. Vandenberghe, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 17, 5167–5183, https://doi.org/10.5194/hess-17-5167-2013, https://doi.org/10.5194/hess-17-5167-2013, 2013
M. Schwarz, F. Giadrossich, and D. Cohen
Hydrol. Earth Syst. Sci., 17, 4367–4377, https://doi.org/10.5194/hess-17-4367-2013, https://doi.org/10.5194/hess-17-4367-2013, 2013
G. Di Baldassarre, A. Viglione, G. Carr, L. Kuil, J. L. Salinas, and G. Blöschl
Hydrol. Earth Syst. Sci., 17, 3295–3303, https://doi.org/10.5194/hess-17-3295-2013, https://doi.org/10.5194/hess-17-3295-2013, 2013
L. Brocca, S. Liersch, F. Melone, T. Moramarco, and M. Volk
Hydrol. Earth Syst. Sci., 17, 3159–3169, https://doi.org/10.5194/hess-17-3159-2013, https://doi.org/10.5194/hess-17-3159-2013, 2013
T. A. McMahon, M. C. Peel, L. Lowe, R. Srikanthan, and T. R. McVicar
Hydrol. Earth Syst. Sci., 17, 1331–1363, https://doi.org/10.5194/hess-17-1331-2013, https://doi.org/10.5194/hess-17-1331-2013, 2013
E. Habib, Y. Ma, D. Williams, H. O. Sharif, and F. Hossain
Hydrol. Earth Syst. Sci., 16, 3767–3781, https://doi.org/10.5194/hess-16-3767-2012, https://doi.org/10.5194/hess-16-3767-2012, 2012
A. Pathirana, B. Gersonius, and M. Radhakrishnan
Hydrol. Earth Syst. Sci., 16, 2499–2509, https://doi.org/10.5194/hess-16-2499-2012, https://doi.org/10.5194/hess-16-2499-2012, 2012
K. X. Soulis and J. D. Valiantzas
Hydrol. Earth Syst. Sci., 16, 1001–1015, https://doi.org/10.5194/hess-16-1001-2012, https://doi.org/10.5194/hess-16-1001-2012, 2012
G. Corato, T. Moramarco, and T. Tucciarelli
Hydrol. Earth Syst. Sci., 15, 2979–2994, https://doi.org/10.5194/hess-15-2979-2011, https://doi.org/10.5194/hess-15-2979-2011, 2011
A. Elshorbagy, G. Corzo, S. Srinivasulu, and D. P. Solomatine
Hydrol. Earth Syst. Sci., 14, 1943–1961, https://doi.org/10.5194/hess-14-1943-2010, https://doi.org/10.5194/hess-14-1943-2010, 2010
A. D. Koussis
Hydrol. Earth Syst. Sci., 14, 1093–1097, https://doi.org/10.5194/hess-14-1093-2010, https://doi.org/10.5194/hess-14-1093-2010, 2010
J. A. Velázquez, T. Petit, A. Lavoie, M.-A. Boucher, R. Turcotte, V. Fortin, and F. Anctil
Hydrol. Earth Syst. Sci., 13, 2221–2231, https://doi.org/10.5194/hess-13-2221-2009, https://doi.org/10.5194/hess-13-2221-2009, 2009
Cited articles
Aas, K., Czado, C., Frigessi, A., and Bakken, H.: Pair-copula constructions
of multiple dependence, Insur. Math. Econ., 44, 182–198,
https://doi.org/10.1016/j.insmatheco.2007.02.001, 2009.
Akaike, H.: A new look at the statistical model identification, IEEE T.
Automat. Contr., 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974.
Ayalew, T. B., Krajewski, W. F., and Mantilla, R.: Exploring the effect of
reservoir storage on peak discharge frequency, J. Hydrol. Eng., 18,
1697–1708, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000721, 2013.
Ayalew, T. B., Krajewski, W. F., and Mantilla, R.: Inights into expected
changes in regulated flood frequencies due to the spatial configuration of
flood retention ponds, J. Hydrol. Eng., 20, 04015010,
https://doi.org/10.1061/(ASCE)HE.1943-5584.0001173, 2015.
Batalla, R. J., Gomez, C. M., and Kondolf, G. M.: Reservoir-induced
hydrological changes in the Ebro River basin (NE Spain), J. Hydrol., 290,
117–136, https://doi.org/10.1016/j.jhydrol.2003.12.002, 2004.
Benito, G. and Thorndycraft, V. R.: Palaeoflood hydrology and its role in
applied hydrological sciences, J. Hydrol., 313, 3–15,
https://doi.org/10.1016/j.jhydrol.2005.02.002, 2005.
Chib, S. and Greenberg, E.: Understanding the metropolis-hastings algorithm,
Am. Stat., 49, 327–335, https://doi.org/10.1080/00031305.1995.10476177, 1995.
Chivers, C.: MHadaptive: General Markov chain Monte Carlo for Bayesian
inference using adaptive Metropolis-Hastings sampling, available at:
https://CRAN.R-project.org/package=MHadaptive (last access: 9 August 2019), 2012.
Coles, S.: An Introduction to Statistical Modeling of Extreme Values,
Springer, London, https://doi.org/10.1007/978-1-4471-3675-0, 2001.
Cong, M., Chunxia, L., and Yiqiu, L.: Runoff change in the lower reaches of
Ankang Reservoir and the influence of Ankang Reservoir on its downstream,
Resources and Environment in the Yangtze Basin, 22, 1433–1440, 2013 (in
Chinese).
Du, T., Xiong, L., Xu, C.-Y., Gippel, C. J., Guo, S., and Liu, P.: Return
period and risk analysis of nonstationary low-flow series under climate
change, J. Hydrol., 527, 234–250, https://doi.org/10.1016/j.jhydrol.2015.04.041, 2015.
El Adlouni, S., Ouarda, T. B. M. J., Zhang, X., Roy, R., and Bobée, B.:
Generalized maximum likelihood estimators for the nonstationary generalized
extreme value model, Water Resour. Res., 43, 455–456,
https://doi.org/10.1029/2005WR004545, 2007.
Genest, C., Rémillard, B., and Beaudoin, D.: Goodness-of-fit tests for
copulas: A review and a power study, Insur. Math. Econ., 44, 199–213,
https://doi.org/10.1016/j.insmatheco.2007.10.005, 2009.
Gilroy, K. L. and Mccuen, R. H.: A nonstationary flood frequency analysis
method to adjust for future climate change and urbanization, J. Hydrol.,
414, 40–48, https://doi.org/10.1016/j.jhydrol.2011.10.009, 2012.
Goel, N. K., Kurothe, R. S., Mathur, B. S., and Vogel, R. M.: A derived
flood frequency distribution for correlated rainfall intensity and duration,
Water Resour. Res., 33, 2103–2107, https://doi.org/10.1029/97WR00812, 1997.
Graf, W. L.: Dam nation: A geographic census of American dams and their
large-scale hydrologic impacts, Water Resour. Res., 35, 1305–1311,
https://doi.org/10.1029/1999WR900016, 1999.
Guo, W., Xia, Z., and Wang, Q.: Effects of Danjiangkou Reservoir on
hydrological regimes in the middle and lower reaches of Hanjiang River,
Journal of Hohai University (Natural Sciences), 36, 733–737, 2008 (in
Chinese).
Jiang, C., Xiong, L., Xu, C.-Y., and Guo, S.: Bivariate frequency analysis
of nonstationary low-flow series based on the time-varying copula, Hydrol.
Process., 29, 1521–1534, https://doi.org/10.1002/hyp.10288, 2014.
Kwon, H.-H., Brown, C., and Lall, U.: Climate informed flood frequency
analysis and prediction in Montana using hierarchical Bayesian modeling,
Geophys. Res. Lett., 35, L05404, https://doi.org/10.1029/2007GL032220, 2008.
Lee, J., Heo, J.-H., Lee, J., and Kim, N.: Assessment of flood frequency
alteration by dam construction via SWAT simulation, Water, 9, 264,
https://doi.org/10.3390/w9040264, 2017.
Liang, Z., Yang, J., Hu, Y., Wang, J., Li, B., and Zhao, J.: A sample
reconstruction method based on a modified reservoir index for flood
frequency analysis of non-stationary hydrological series, Stoch. Env. Res.
Risk A., 32, 1561–1571, https://doi.org/10.1007/s00477-017-1465-1, 2018.
López, J. and Francés, F.: Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates, Hydrol. Earth Syst. Sci., 17, 3189–3203, https://doi.org/10.5194/hess-17-3189-2013, 2013.
Lu, G., Liu, Y., Zou, X., Zou, Z., and Cai, T.: Impact of the Danjiangkou
Reservoir on the flow regime in the middle and lower reaches of Hanjiang
River, Resources and Environment in the Yangtze Basin, 18, 959–963, 2009
(in Chinese).
Magilligan, F. J. and Nislow, K. H.: Changes in hydrologic regime by dams,
Geomorphology, 71, 61–78, https://doi.org/10.1016/j.geomorph.2004.08.017, 2005.
Martins, E. S. and Stedinger, J. R.: Generalized maximum-likelihood
generalized extreme-value quantile estimators for hydrologic data, Water
Resour. Res., 36, 737–744, https://doi.org/10.1029/1999WR900330, 2000.
Martins, E. S. and Stedinger, J. R.: Generalized maximum likelihood
Pareto-Poisson estimators for partial duration series, Water Resour. Res.,
37, 2551–2557, 2001.
Mei, X., Dai, Z., van Gelder, P. H. A. J. M., and Gao, J.: Linking Three
Gorges Dam and downstream hydrological regimes along the Yangtze River,
China, Earth Space Sci., 2, 94–106, https://doi.org/10.1002/2014EA000052, 2015.
Milly, P. C. D., Betancourt, J., Falkenmark, M., Hirsch, R. M., Kundzewicz,
Z. W., Lettenmaier, D. P., and Stouffer, R. J.: Stationarity Is Dead:
Whither Water Management?, Science, 319, 573–574, https://doi.org/10.1029/2001WR000367,
2008.
Nelsen, R.: An Introduction to Copulas. Springer Science & Business
Media, New York, USA, 2007.
Ouarda, T. and El-Adlouni, S.: Bayesian nonstationary frequency analysis of
hydrological variables 1, J. Am. Water Resour. As., 47, 496–505,
https://doi.org/10.1111/j.1752-1688.2011.00544.x, 2011.
Pettitt, A. N.: A non-parametric approach to the change-point problem, J. R.
Stat. Soc., 28, 126–135, 1979.
Reis Jr., D. S. and Stedinger, J. R.: Bayesian MCMC flood frequency analysis
with historical information, J. Hydrol., 313, 97–116,
https://doi.org/10.1016/j.jhydrol.2005.02.028, 2005.
Ribatet, M., Sauquet, E., Grésillon, J.-M., and Ouarda, T. B.:
Usefulness of the reversible jump Markov chain Monte Carlo model in regional
flood frequency analysis, Water Resour. Res., 43, W08403,
https://doi.org/10.1029/2006WR005525, 2007.
Rigby, R. A. and Stasinopoulos, D. M.: Generalized additive models for
location, scale and shape, J. R. Stat. Soc. C.-Appl., 54, 507–554,
https://doi.org/10.1111/j.1467-9876.2005.00510.x, 2005.
Salas, J. D.: Analysis and modeling of hydrologic time series, Handbook of
Hydrology, chap. 19, McGraw Hill, New York, USA, 1–72, 1993.
Scarf, P.: Estimation for a four parameter generalized extreme value
distribution, Commun. Stat.-Theor. M., 21, 2185–2201,
https://doi.org/10.1080/03610929208830906, 1992.
Schwarz, G.: Estimating the dimension of a model, Ann. Stat., 6, 461–464,
1978.
Sklar, M.: Fonctions de repartition an dimensions et leurs marges,
Publications de l'Institut Statistique de l'Université de Paris, 8,
229–231, 1959.
Su, C. and Chen, X.: Assessing the effects of reservoirs on extreme flows
using nonstationary flood frequency models with the modified reservoir index
as a covariate, Adv. Water Resour., 124, 29–40,
https://doi.org/10.1016/j.advwatres.2018.12.004, 2019.
Viglione, A., Merz, R., Salinas, J. L., and Blöschl, G.: Flood frequency
hydrology: 3. A Bayesian analysis, Water Resour. Res., 49, 675–692,
https://doi.org/10.1029/2011WR010782, 2013.
Villarini, G., Smith, J. A., Serinaldi, F., Bales, J., Bates, P. D., and
Krajewski, W. F.: Flood frequency analysis for nonstationary annual peak
records in an urban drainage basin, Adv. Water Resour., 32, 1255–1266,
https://doi.org/10.1016/j.advwatres.2009.05.003, 2009.
Volpi, E., Di Lazzaro, M., Bertola, M., Viglione, A., and Fiori, A.:
Reservoir effects on flood peak discharge at the catchment scale, Water
Resour. Res., 54, 9623–9636, https://doi.org/10.1029/2018WR023866, 2018.
Wang, W., Li, H. Y., Leung, L. R., Yigzaw, W., Zhao, J., Lu, H., Deng, Z.,
Demisie, Y., and Blöschl, G.: Nonlinear filtering effects of reservoirs
on flood frequency curves at the regional scale, Water Resour. Res., 53,
8277–8292, https://doi.org/10.1002/2017WR020871, 2017.
Wyżga, B., Kundzewicz, Z. W., Ruiz-Villanueva, V., and Zawiejska, J.:
Flood generation mechanisms and changes in principal drivers, in: Flood Risk
in the Upper Vistula Basin, Springer, Cham, Switzerland, 2016.
Xiong, B., Xiong, L., Chen, J., Xu, C.-Y., and Li, L.: Multiple causes of nonstationarity in the Weihe annual low-flow series, Hydrol. Earth Syst. Sci., 22, 1525–1542, https://doi.org/10.5194/hess-22-1525-2018, 2018.
Xiong, L., Jiang, C., Xu, C.-Y., Yu, K. X., and Guo, S.: A framework of
change-point detection for multivariate hydrological series, Water Resour.
Res., 51, 8198–8217, https://doi.org/10.1002/2015WR017677, 2015.
Yan, L., Xiong, L., Liu, D., Hu, T., and Xu, C. Y.: Frequency analysis of
nonstationary annual maximum flood series using the time-varying
two-component mixture distributions, Hydrol. Process., 31, 69–89,
https://doi.org/10.1002/hyp.10965, 2017.
Yang, T., Zhang, Q., Chen, Y. D., Tao, X., Xu, C. Y., and Chen, X.: A
spatial assessment of hydrologic alteration caused by dam construction in
the middle and lower Yellow River, China, Hydrol. Process., 22, 3829–3843,
https://doi.org/10.1002/hyp.6993, 2008.
Zhang, L., Xu, J., Huo, J., and Chen, J.: Study on stage flood control water
level of Danjiangkou Reservoir, Journal of Yangtze River Scientific Research
Institute, 26, 13–16, 2009 (in Chinese).
Zhang, Q., Gu, X., Singh, V. P., Xiao, M., and Chen, X.: Evaluation of flood
frequency under non-stationarity resulting from climate indices and
reservoir indices in the East River basin, China, J. Hydrol., 527, 565–575,
https://doi.org/10.1016/j.jhydrol.2015.05.029, 2015.
Short summary
We develop a new indicator of reservoir effects, called the rainfall–reservoir composite index (RRCI). RRCI, coupled with the effects of static reservoir capacity and scheduling-related multivariate rainfall, has a better performance than the previous indicator in terms of explaining the variation in the downstream floods affected by reservoir operation. A covariate-based flood frequency analysis using RRCI can provide more reliable downstream flood risk estimation.
We develop a new indicator of reservoir effects, called the rainfall–reservoir composite index...
