Articles | Volume 27, issue 14
https://doi.org/10.5194/hess-27-2807-2023
© Author(s) 2023. 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-27-2807-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Warming of the Willamette River, 1850–present: the effects of climate change and river system alterations
Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, California, USA
David A. Jay
Civil and Environmental Engineering, Portland State University, Portland, Oregon, USA
Heida L. Diefenderfer
Coastal Sciences Division, Pacific Northwest National Laboratory, Sequim, Washington, USA
School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, USA
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Volcanic meteotsunamis (VMTs) are global with impacts dependent on local topography. The impacts of a volcanic meteotsunami may occur where the oceanic tsunami is not present. Tsunami warning systems do not consider VMTs which can arrive first and may be several meters for a large volcanic eruption at locations with ideal topographical or bathymetric conditions. Here, we analyzed this event using high-frequency tide gauge data along with deep-water buoys and air pressure gauges worldwide.
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Adam T. Devlin, David A. Jay, Stefan A. Talke, and Jiayi Pan
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Volcanic meteotsunamis (VMTs) are global with impacts dependent on local topography. The impacts of a volcanic meteotsunami may occur where the oceanic tsunami is not present. Tsunami warning systems do not consider VMTs which can arrive first and may be several meters for a large volcanic eruption at locations with ideal topographical or bathymetric conditions. Here, we analyzed this event using high-frequency tide gauge data along with deep-water buoys and air pressure gauges worldwide.
Ramin Familkhalili, Stefan A. Talke, and David A. Jay
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Storm surges, tides, and high river flows often combine to cause flooding in estuaries, a problem known as compound flooding. In this study, we investigate these factors and how changes to estuary and river geometry influence peak water levels. This study offers an analytical framework for reducing estuary flood risk via a better understanding of how bathymetry, surge timescale, and river discharge affect surge and tidal amplitudes and flood heights and inundation in these systems.
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The geometry of estuaries is often altered through dredging to make room for ships and with extensive landfill over wetlands to enable development. Here, we use historical maps to help create computational models of seawater flow around and into a lagoonal bay of New York City for the 1880s and 2010s. Our results show that these past man-made changes cause higher coastal storm tides and that they result specifically from deeper depths, expanded inlet width, and landfill.
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Subject: Rivers and Lakes | Techniques and Approaches: Stochastic approaches
Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river
Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning
Do small and large floods have the same drivers of change? A regional attribution analysis in Europe
Flood trends in Europe: are changes in small and big floods different?
A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers
Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model
Large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product
Influence of solar forcing, climate variability and modes of low-frequency atmospheric variability on summer floods in Switzerland
Historical impact of water infrastructure on water levels of the Mekong River and the Tonle Sap system
Stochastic modeling of Lake Van water level time series with jumps and multiple trends
Predictability of Western Himalayan river flow: melt seasonal inflow into Bhakra Reservoir in northern India
The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter
Menaka Revel, Xudong Zhou, Dai Yamazaki, and Shinjiro Kanae
Hydrol. Earth Syst. Sci., 27, 647–671, https://doi.org/10.5194/hess-27-647-2023, https://doi.org/10.5194/hess-27-647-2023, 2023
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The capacity to discern surface water improved as satellites became more available. Because remote sensing data is discontinuous, integrating models with satellite observations will improve knowledge of water resources. However, given the current limitations (e.g., parameter errors) of water resource modeling, merging satellite data with simulations is problematic. Integrating observations and models with the unique approaches given here can lead to a better estimation of surface water dynamics.
Remy Vandaele, Sarah L. Dance, and Varun Ojha
Hydrol. Earth Syst. Sci., 25, 4435–4453, https://doi.org/10.5194/hess-25-4435-2021, https://doi.org/10.5194/hess-25-4435-2021, 2021
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The acquisition of river-level data is a critical task for the understanding of flood events but is often complicated by the difficulty to install and maintain gauges able to provide such information. This study proposes applying deep learning techniques on river-camera images in order to automatically extract the corresponding water levels. This approach could allow for a new flexible way to observe flood events, especially at ungauged locations.
Miriam Bertola, Alberto Viglione, Sergiy Vorogushyn, David Lun, Bruno Merz, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 1347–1364, https://doi.org/10.5194/hess-25-1347-2021, https://doi.org/10.5194/hess-25-1347-2021, 2021
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We estimate the contribution of extreme precipitation, antecedent soil moisture and snowmelt to changes in small and large floods across Europe.
In northwestern and eastern Europe, changes in small and large floods are driven mainly by one single driver (i.e. extreme precipitation and snowmelt, respectively). In southern Europe both antecedent soil moisture and extreme precipitation significantly contribute to flood changes, and their relative importance depends on flood magnitude.
Miriam Bertola, Alberto Viglione, David Lun, Julia Hall, and Günter Blöschl
Hydrol. Earth Syst. Sci., 24, 1805–1822, https://doi.org/10.5194/hess-24-1805-2020, https://doi.org/10.5194/hess-24-1805-2020, 2020
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We investigate changes that occurred in small vs. big flood events and in small vs. large catchments across Europe over 5 decades. Annual maximum discharge series between 1960 and 2010 from 2370 gauges in Europe are analysed. Distinctive patterns of flood regime change are identified for large regions across Europe, which depend on flood magnitude and catchment size.
Theano Iliopoulou, Cristina Aguilar, Berit Arheimer, María Bermúdez, Nejc Bezak, Andrea Ficchì, Demetris Koutsoyiannis, Juraj Parajka, María José Polo, Guillaume Thirel, and Alberto Montanari
Hydrol. Earth Syst. Sci., 23, 73–91, https://doi.org/10.5194/hess-23-73-2019, https://doi.org/10.5194/hess-23-73-2019, 2019
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We investigate the seasonal memory properties of a large sample of European rivers in terms of high and low flows. We compute seasonal correlations between peak and low flows and average flows in the previous seasons and explore the links with various physiographic and hydro-climatic catchment descriptors. Our findings suggest that there is a traceable physical basis for river memory which in turn can be employed to reduce uncertainty and improve probabilistic predictions of floods and droughts.
Alessia Ferrari, Marco D'Oria, Renato Vacondio, Alessandro Dal Palù, Paolo Mignosa, and Maria Giovanna Tanda
Hydrol. Earth Syst. Sci., 22, 5299–5316, https://doi.org/10.5194/hess-22-5299-2018, https://doi.org/10.5194/hess-22-5299-2018, 2018
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The knowledge of discharge hydrographs is useful for flood modelling purposes, water resource management, and the design of hydraulic structures. This paper presents a novel methodology to estimate the unknown discharge hydrograph in an ungauged river section using only water level information recorded downstream. A Bayesian procedure is coupled with a 2-D hydraulic model parallelized for GPUs. Finally, the proposed procedure has been applied to estimate inflow hydrographs in real river reaches.
Charlotte Marie Emery, Adrien Paris, Sylvain Biancamaria, Aaron Boone, Stéphane Calmant, Pierre-André Garambois, and Joecila Santos da Silva
Hydrol. Earth Syst. Sci., 22, 2135–2162, https://doi.org/10.5194/hess-22-2135-2018, https://doi.org/10.5194/hess-22-2135-2018, 2018
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This study uses remotely sensed river discharge data to correct river storage and discharge in a large-scale hydrological model. The method is based on an ensemble Kalman filter and also introduces an additional technique that allows for better constraint of the correction (called localization). The approach is applied over the entire Amazon basin. Results show that the method is able to improve river discharge and localization to produce better results along main tributaries.
J. C. Peña, L. Schulte, A. Badoux, M. Barriendos, and A. Barrera-Escoda
Hydrol. Earth Syst. Sci., 19, 3807–3827, https://doi.org/10.5194/hess-19-3807-2015, https://doi.org/10.5194/hess-19-3807-2015, 2015
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The paper presents an index of summer flood damage in Switzerland from 1800 to 2009 and explores the influence of solar forcing, climate variability and low-frequency atmospheric circulation on flood frequencies. The flood damage index provides evidence that the 1817-1851, 1881-1927, 1977-1990 and 2005-present flood clusters are mostly in phase with palaeoclimate proxies and solar activity minima. Floods are influenced by atmospheric instability related to the principal summer mode.
T. A. Cochrane, M. E. Arias, and T. Piman
Hydrol. Earth Syst. Sci., 18, 4529–4541, https://doi.org/10.5194/hess-18-4529-2014, https://doi.org/10.5194/hess-18-4529-2014, 2014
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Natural patterns of water levels in the Mekong are changing as a result of hydropower and irrigation development. Since 1991, significant changes in water level fluctuations and rising and falling rates have occurred along the lower Mekong. The changes were linked to temporal and spatial trends in water infrastructure development and can lead to impacts on ecosystem productivity. Climatic change is also important, but it has not been the main cause of the key water level alternations.
H. Aksoy, N. E. Unal, E. Eris, and M. I. Yuce
Hydrol. Earth Syst. Sci., 17, 2297–2303, https://doi.org/10.5194/hess-17-2297-2013, https://doi.org/10.5194/hess-17-2297-2013, 2013
I. Pal, U. Lall, A. W. Robertson, M. A. Cane, and R. Bansal
Hydrol. Earth Syst. Sci., 17, 2131–2146, https://doi.org/10.5194/hess-17-2131-2013, https://doi.org/10.5194/hess-17-2131-2013, 2013
D. A. Plaza, R. De Keyser, G. J. M. De Lannoy, L. Giustarini, P. Matgen, and V. R. N. Pauwels
Hydrol. Earth Syst. Sci., 16, 375–390, https://doi.org/10.5194/hess-16-375-2012, https://doi.org/10.5194/hess-16-375-2012, 2012
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Short summary
Archival measurements and a statistical model show that average water temperature in a major US West Coast river has increased by 1.8 °C since 1850, at a rate of 1.1 °C per century. The largest factor driving modeled changes are warming air temperatures (nearly 75 %). The remainder is primarily caused by depth increases and other modifications to the river system. Near-freezing conditions, common historically, no longer occur, and the number of warm water days has significantly increased.
Archival measurements and a statistical model show that average water temperature in a major US...