Article
Engineering, Civil
Sai Kiran Kuntla, Manabendra Saharia, Pierre Kirstetter
Summary: This study utilizes a large-sample data-driven approach to characterize extreme streamflows across the globe. It finds that meteorological variables are the most influential factors in extreme flood events, and their influences vary among different climate classes. Additionally, geomorphological variables play a crucial role in different climate classes as well. The insights from this study can contribute to predicting peak discharge at ungauged stations and formulating risk management strategies.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
L. R. Lokin, J. J. Warmink, A. Bomers, S. J. M. H. Hulscher
Summary: This study analyzes the dynamics of dunes in the Rhine River during low-flow conditions and finds that dunes migrate, become lower and longer, contradicting current literature.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Engineering, Civil
Dongxian Kong, Chiyuan Miao, Qingyun Duan, Junhua Li, Haiyan Zheng, Jiaojiao Gou
Summary: This study investigated the impact of Xiaolangdi Dam on water discharge at multiple scales. The results showed that the dam had little effect on the total streamflow in the long run, but significantly changed the seasonal distribution. Through data reconstruction, it was estimated that the dam's construction and operation mitigated around 78% of potential flood events. The construction of Xiaolangdi Dam is of great importance for meeting water demand and eliminating the drying-up phenomenon in the river.
JOURNAL OF HYDROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Meredith A. Fish, James M. Done, Daniel L. Swain, Anna M. Wilson, Allison C. Michaelis, Peter B. Gibson, F. Martin Ralph
Summary: Successive atmospheric river (AR) events, known as AR families, can result in prolonged and elevated hydrological impacts compared to single AR events. This study introduces a new catalog of AR family events affecting California, identifying distinct large-scale patterns associated with AR families, some of which are strongly related to phases of the El Nino-Southern Oscillation. The potential predictability of AR families, especially on subseasonal to seasonal time scales, may be enhanced compared to single AR events.
JOURNAL OF CLIMATE
(2022)
Article
Environmental Sciences
Cristina Deidda, Sebastian Engelke, Carlo De Michele
Summary: This article introduces the concept of extremal dependence and the limitations of traditional symmetric dependence measures. It proposes a new measure called asymmetric tail Kendall's tau to capture asymmetry in extreme events. The effectiveness of this measure is demonstrated through theoretical analysis, simulation experiments, and a case study on river networks in the United Kingdom. The study highlights the importance of measuring asymmetric extremal dependence in hydrology.
WATER RESOURCES RESEARCH
(2023)
Article
Multidisciplinary Sciences
Ravi Kumar Guntu, Ankit Agarwal
Summary: The study investigates the historical variations of compound dry and hot extremes and compound wet and cold extremes during the Indian summer monsoon period. Results show an increase or decrease in the frequency of compound extremes in specific regions of India in recent years.
SCIENTIFIC REPORTS
(2021)
Article
Geosciences, Multidisciplinary
Isabel Wapenhans, Victoria M. Fernandes, Conor O'Malley, Nicky White, Gareth G. Roberts
Summary: The study shows that river profile geometries are scale-dependent, with small-scale observations not directly representing large-scale landscape evolution. River profile geometries are primarily controlled by smoothly varying patterns of regional uplift and slope-dependent incision.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Environmental Sciences
L. R. Lokin, J. J. Warmink, S. J. M. H. Hulscher
Summary: River dunes, dynamic bedforms in the river bed, can limit navigable depths and increase bed roughness. Predicting the navigable depth and planning maintenance dredging can be done with a numerical dune development model. Different sediment transport models were used to study the effect on dune shape and propagation. The models were able to simulate dune propagation, with shear stress-based models reshaping the dunes. The models reproduced observed dune celerity and realistic dune shapes for low and median discharges.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
T. Waite, K. J. Jankowski, D. A. Bruesewitz, M. Van Appledorn, M. Johnston, J. N. Houser, D. A. Baumann, B. Bennie
Summary: Shifts in the frequency and intensity of high discharge events due to climate change may have important consequences for the hydrology and biogeochemistry of rivers. Our study analyzed high-frequency sensor data collected from the Upper Mississippi River to understand the event-scale biogeochemical dynamics. We found distinct event responses across different habitats and biogeochemical components, with contrasting patterns for physical-chemical and biological constituents. This highlights the importance of considering the diverse characteristics of large rivers and their potential implications for local and downstream ecosystems as the climate continues to change.
WATER RESOURCES RESEARCH
(2023)
Review
Environmental Sciences
Michelle T. H. Van Vliet, Josefin Thorslund, Maryna Strokal, Nynke Hofstra, Martina Floerke, Heloisa Ehalt Macedo, Albert Nkwasa, Ting Tang, Sujay S. Kaushal, Rohini Kumar, Ann Van Griensven, Lex Bouwman, Luke M. Mosley
Summary: Climate change and extreme weather events pose serious challenges for water management due to their impacts on water resources availability and water quality. This review assesses the impacts of these events and climate change on river water quality and identifies the key responses and driving mechanisms. The findings show that river water quality generally deteriorates under droughts, heatwaves, rainstorms, floods, and long-term climate change, while improvements or mixed responses are also reported. The driving mechanisms include hydrological alterations, rises in water and soil temperatures, and interactions among hydroclimatic, land use, and human drivers.
NATURE REVIEWS EARTH & ENVIRONMENT
(2023)
Article
Environmental Sciences
Anzy Lee, Antoine Aubeneau, Xiaofeng Liu, M. Bayani Cardenas
Summary: The study investigated the impact of river free-surface deformation on bedform-driven hyporheic exchange through simulations, showing that considering free-surface deformation significantly increases hyporheic flux. Studies using a rigid-lid assumption in subcritical flows typically underestimate bedform-driven hyporheic fluxes.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
M. T. Vu, A. Jardani, M. Krimissa, F. Zaoui, N. Massei
Summary: Accurate prediction of river discharge is crucial for various sectors, especially with increasing demand for water resources and climate change. This research developed a multivariate model incorporating local and global data sources, optimizing correlations between discharge and hydrologic/climatic parameters. Stacked LSTM neural network was used for information extraction. The study focused on the Loire-Bretagne basin and achieved high accuracy and efficiency in daily predictions for one, three, and six months ahead. Short-term predictions relied on local datasets, while long-range forecasts were driven by global datasets. Seasonal forecasting showed the impact of forecast leading time on data correlation. The research establishes a practical foundation for utilizing big data in long-term forecasting of environmental dynamics.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Olivier Morissette, Pascal Sirois
Summary: This study evaluated the spatiotemporal variability of trace metal ratios in the St. Lawrence River and its major tributaries, confirming their stability over time. Results demonstrate the influence of element selection and geochemical similarity of tributaries on the accuracy of river classification based on element ratios.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Studies
Abdul Basir Mahmoodzada, Divyesh Varade, Sawahiko Shimada, Hiromu Okazawa, Shafiqullah Aryan, Gulbuddin Gulab, Abd El-Zaher M. A. Mustafa, Humaira Rizwana, Yogesh K. Ahlawat, Hosam O. Elansary
Summary: In this study, the riverbank erosion of the Amu River in Kaldar District, Balkh Province of Afghanistan from 2004 to 2020 was quantified using modelled river discharge. A framework combining multi-source information was proposed to model the erosion area based on river discharge, river width, and erosion area. The results showed that the average annual riverbank erosion area in Kaldar District was about 5.4 km2, with a total of 86.3 km2 during 2004-2020 due to flood events. Higher land loss events occurred in certain years, with 10 km2 bank erosion in 2008-2009 and 2015-2016, and a peak erosion of 19 km2 in 2011-2012. A linear relationship between the erosion area and discharge intensity and specific stream power was observed.
Article
Water Resources
Mohammad Sharifi, Mohammad Reza Majdzadeh Tabatabai, Seyed Hossein Ghoreishi Najafabadi
Summary: The study focused on the Tar River in Ghazi Station, Tehran Province, evaluating the design discharge needed for flood control structures. It concluded that the average of dominant, effective, and bankfull discharges could be suitable as the design discharge for the river, but flood control structures are unnecessary due to medium frequent flood events occurring in the river.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)