Article
Water Resources
Xiang Zeng, Spencer Schnier, Ximing Cai
Summary: This study examines the relationships between streamflow trends and watershed characteristics in the contiguous U.S. from 1981 to 2016, finding that precipitation trends are closely associated with streamflow changes while the impacts of anthropogenic factors vary across regions. Water use changes play a significant role in agricultural land-dominated regions, while land use changes are highlighted in areas with extensive forest coverage. Climate trends primarily drive decreasing streamflow in the Southwest, emphasizing the importance of understanding region-specific impacts on streamflow variability.
ADVANCES IN WATER RESOURCES
(2021)
Article
Multidisciplinary Sciences
A. Park Williams, Ben Livneh, Karen A. McKinnon, Winslow D. Hansen, Justin S. Mankin, Benjamin Cook, Jason E. Smerdon, Arianna M. Varuolo-Clarke, Nels R. Bjarke, Caroline S. Juang, Dennis P. Lettenmaier
Summary: Streamflow often increases after fire, and this effect has unclear persistence and importance to regional water resources. This study examines 72 forested basins in the western United States (WUS) and finds that multibasin mean streamflow significantly increases in the 6 water years after a fire. The streamflow response is proportional to the fire extent and is significant in all four seasons. Furthermore, historical fire-climate relationships and climate model projections suggest that wildfires will become more frequent in the coming decades, leading to increased regional streamflow.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Water Resources
Dunyu Zhong, Zengchuan Dong, Guobin Fu, Jiaqi Bian, Feihe Kong, Wenzhuo Wang, Yan Zhao
Summary: The study reveals that the streamflow in the Yellow River Basin is significantly decreasing, mainly due to human activity, with climate change playing a relatively smaller role in the reduction. This finding is crucial for water resource management in the Yellow River Basin.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Environmental Sciences
Jiaojiao Gou, Chiyuan Miao, Qingyun Duan, Qi Zhang, Xiaoying Guo, Ting Su
Summary: The sensitivity of streamflow to climate change varies spatially and seasonally across China, with precipitation consistently exerting a greater influence than temperature. Catchments with higher elevation, drier climate, less vegetation cover, and lower infiltration rates are more likely to exhibit seasonally asymmetric precipitation sensitivity.
Article
Green & Sustainable Science & Technology
Franco Salerno
Summary: Public opinion can greatly influence public policy, and in the face of the current climate crisis, shaping public opinion can be a way to drive the adoption of climate policies. By analyzing the impact of major media events on public interest and concern for climate change, Google Trends was identified as a reliable tool for evaluating changes in public attention. The "Greta Thunberg effect" in 2019 led to a shift in concern, with decision-makers showing more concern for climate change than traditionally vulnerable countries. This created a high demand for strong climate policies and future public actions to address the ongoing climate crisis.
Article
Environmental Sciences
Zhiying Li, Steven M. Quiring
Summary: This study predicts future streamflow changes in 889 watersheds in the contiguous United States based on projected climate and land use changes. The results show that the random forest model can explain over 85% of the variance in most watersheds. The study also found that relative cumulative moisture surplus, forest coverage, crop land, and urban land are the most important variables affecting the time-varying omega.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Baoxu Zhao, Huimin Lei, Dawen Yang, Shuyu Yang, Jerasorn Santisirisomboon
Summary: This study investigates the hydrological effects of deforestation in the Upper Chao Phraya River basin, a tropical monsoon region in Thailand. The findings suggest that deforestation contributes to increased annual streamflow, baseflow, and sediment load. The impact of deforestation varies depending on the specific sub-basin and the type of hydrological change. Climate change and forest cover reduction both play a role in affecting the hydrological and sedimentary changes observed in the region.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Yuting Yang, Michael L. Roderick, Dawen Yang, Zhengrong Wang, Fangzheng Ruan, Tim R. McVicar, Shulei Zhang, Hylke E. Beck
Summary: The study reveals that in catchments with minimal human disturbance, long-term annual streamflow tends to remain stationary in most cases, while in catchments with substantial human interventions, only a small percentage exhibit stationary flow. This underscores the significant impact of human activities on freshwater systems.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Water Resources
Papa Malick Ndiaye, Ansoumana Bodian, Lamine Diop, Alain Dezetter, Etienne Guilpart, Abdoulaye Deme, Andrew Ogilvie
Summary: This study evaluated the trends of reference evapotranspiration (ET0) in the Senegal River Basin, finding that regional climate models (RCMs) were more robust than global circulation models (GCMs). ET0 was found to be more sensitive to relative humidity, maximum temperature, and solar radiation, with significant increases projected in ET0, maximum and minimum temperatures in the period 2036-2065.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Geosciences, Multidisciplinary
S. Sreedevi, T. I. Eldho, T. Jayasankar
Summary: This study evaluates the impacts of land use/land cover and climate change on hydrology and soil erosion processes in a humid tropical region in India. Using the SHETRAN model, the researchers compare past land use maps and climate data with future climate scenarios. The results show that land use, climate variability, and combined effects have different influences on streamflow and sediment load. The projections from a general circulation model indicate an increase in temperature, precipitation, streamflow, and sediment load in the future. The SHETRAN model proves to be effective in assessing the impact of climate change on hydrology and sediment yield, providing valuable insights for future river basin management.
Article
Water Resources
Sujan Pal, Jiali Wang, Jeremy Feinstein, Eugene Yan, Veerabhadra Rao Kotamarthi
Summary: This study investigates the potential impacts of climate change on precipitation, streamflow, and inland flooding in the northeastern United States (NEUS) during the mid-21st century. Through dynamically downscaled climate projections and hydrologic modeling, the results show a significantly wetter winter regime and potential drier conditions during late spring to early summer in the region. Extreme flow and water depths resulting from inland flooding are projected to increase, and the total flooded area is likely to be 20% greater by the mid-century. These increased risks can be attributed to changes in precipitation intensity, snow availability, evapotranspiration, and soil moisture.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Meteorology & Atmospheric Sciences
Amdom Gebremedhin Berhe, Solomon Habtu Misgna, Girmay Gebre-Samuel Abraha, Amanuel Zenebe Abraha
Summary: In this study, the trends of rainfall, temperatures, and crop-growing season characteristics were analyzed using auto-correlated Mann-Kendall (MK) and Sen's slope estimator tests. The results showed non-significant increasing trends in rainfall during the Kiremt season and non-significant decreasing trends during the Belg season. However, temperatures exhibited significant increasing trends in annual and Belg. The study also found that the growing season characteristics did not show significant changes. The high variability in rainfall and dry spell length, coupled with the short length of the growing period, had negative implications for crop production in the eastern zone of Tigray region.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Huilin Huang, Michael R. Fischella, Yufei Liu, Zhaoxin Ban, Jessica V. Fayne, Dongyue Li, Kyle C. Cavanaugh, Dennis P. Lettenmaier
Summary: This study analyzes the changes in flood frequency, magnitude, and timing caused by different flood generating mechanisms in the Western U.S. It finds a decrease in frequency and magnitude of rain-on-snow-driven floods, an increase in frequency and magnitude of convective-storm-driven floods, and an earlier occurrence of snowmelt-driven floods. Flood characteristics produced by other mechanisms remain generally stable.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
Manuela I. I. Brunner, Jonas Gotte, Christopher Schlemper, Anne F. F. Van Loon
Summary: This study assesses changes in the importance of different hydrological drought generation processes in the European Alps. The findings show that the changes in drought processes are stronger in high-elevation catchments, where there are clear changes in drought seasonality. The study also suggests that changes in drought severity and generation processes are related, with snowmelt-deficit droughts having larger deficits than cold temperature-induced droughts.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Gokhan Yildirim, Ataur Rahman
Summary: This study investigates rainfall and drought characteristics in southeastern Australia using data from 45 rainfall stations. The results show an increasing trend in annual total rainfall, but a significant negative trend in the medium term. Winter is dominated by a negative trend, while summer and spring seasons show a positive trend. April is the driest month. Positive trends on droughts are observed in the inner parts of the study area, while a negative trend is detected in the south, southeast, and northeast.
Article
Water Resources
Nicole L. O'Brien, Donald H. Burn
CANADIAN WATER RESOURCES JOURNAL
(2018)
Article
Water Resources
Martin Durocher, Shabnam Mostofi Zadeh, Donald H. Burn, Fahim Ashkar
HYDROLOGICAL PROCESSES
(2018)
Article
Water Resources
Donald H. Burn, Paul H. Whitfield
ADVANCES IN WATER RESOURCES
(2018)
Article
Water Resources
Martin Durocher, Ana I. Requena, Donald H. Burn, Jennifer Pellerin
HYDROLOGICAL PROCESSES
(2019)
Article
Engineering, Civil
Martin Durocher, Donald H. Burn, Shabnam Mostofi Zadeh
JOURNAL OF HYDROLOGY
(2018)
Article
Water Resources
Shabnam Mostofi Zadeh, Martin Durocher, Donald H. Burn, Fahim Ashkar
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2019)
Article
Water Resources
Ana I. Requena, Donald H. Burn, Paulin Coulibaly
HYDROLOGICAL PROCESSES
(2019)
Article
Engineering, Civil
Zhe Yang, Donald H. Burn
JOURNAL OF HYDROLOGY
(2019)
Article
Water Resources
Ziyang Zhang, Tricia A. Stadnyk, Donald H. Burn
CANADIAN WATER RESOURCES JOURNAL
(2020)
Article
Engineering, Civil
Ana Requena, Donald H. Burn, Paulin Coulibaly
JOURNAL OF HYDROLOGY
(2019)
Article
Environmental Sciences
Martin Durocher, Donald H. Burn, Fahim Ashkar
WATER RESOURCES RESEARCH
(2019)
Article
Environmental Sciences
N. L. O'Brien, D. H. Burn, W. K. Annable, P. J. Thompson
Summary: The research compares various techniques for explaining positive and negative serial correlations in trend detection tests, finding differences in robustness depending on the situation. Additionally, the study explores the impact of higher order dependence structures on the application of these techniques.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Ana I. Requena, Donald H. Burn, Paulin Coulibaly
Summary: This study aims to provide practical guidelines and recommendations for estimating future IDF curves in Canada, based on findings from the Canadian FloodNet Research Group. Three different methods are proposed for different case studies, including pooled estimation of extreme rainfall in Canada, gridded relative changes in 24-h extreme rainfall intensities in Canada, and gridded relative changes in 24-h and sub-daily extreme rainfall intensities in regions of Canada with a relatively high station density.
CANADIAN WATER RESOURCES JOURNAL
(2021)
Article
Water Resources
Ana I. Requena, Truong-Huy Nguyen, Donald H. Burn, Paulin Coulibaly, Van-Thanh-Van Nguyen
Summary: This study proposes a grid-scale temporal downscaling approach for estimating sub-daily gridded extreme rainfall intensity under climate change in regions with a relatively high station density. The assessment evaluates two methods for estimating gridded scaling exponents needed in temporal downscaling and analyzes the effect of temporal downscaling and bias correction on sub-daily quantiles and relative changes. The study also finds piecewise simple scaling over the study domains and emphasizes the importance of bias correction for estimating sub-daily RCM-based quantiles.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Engineering, Civil
Donald H. Burn, Paul H. Whitfield
Summary: Climate change can have complex and poorly understood effects on floods and flood regimes. The flood regime plays a vital role in determining the nature, severity, and timing of flood events in a watershed. Understanding changes in the flood regime is crucial for effective flood management and design flood estimation.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)
