Article
Green & Sustainable Science & Technology
Warda Panondi, Norihiro Izumi
Summary: The study found that climate change has led to an increase in precipitation and temperatures in the Pulangi River Basin, resulting in higher sediment yield and runoff, exacerbating the threat of floods and soil erosion.
Article
Environmental Sciences
Lorrayne Miralha, Rebecca L. Muenich, Donald Scavia, Karlie Wells, Allison L. Steiner, Margaret Kalcic, Anna Apostel, Samantha Basile, Christine J. Kirchhoff
Summary: This study compares different bias correction methods on nutrient loads and hydrological processes in waterbodies, showing that the choice of method significantly impacts predictions. In a changing climate scenario, nutrient loads in the Maumee basin are expected to decrease.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Hongling Zhao, Hongyan Li, Yunqing Xuan, Changhai Li, Heshan Ni
Summary: This paper presents the development and application of an improved temperature index method for the SWAT model in simulating daily snowmelt runoff in a seasonal snowmelt area. The improvements in the method result in significantly improved simulation results, supported by various metrics. The study also explores the impact of climate change on future snowmelt runoff and finds a decrease in snowmelt runoff under the given scenarios. This research provides valuable insights into the efficient development and utilization of water resources in seasonal snowmelt areas.
Article
Engineering, Civil
G. Harik, I. Alameddine, M. Abou Najm, M. El-Fadel
Summary: This study improves the snowmelt algorithm of the Soil and Water Assessment Tool (SWAT) model to enhance runoff simulations in snow-dominated watersheds. The modified model captures flow dynamics and variability during the snowmelt period better than the unmodified model. Future predictions show that the modified model predicts a smaller decrease in water availability compared to the unmodified model.
WATER RESOURCES MANAGEMENT
(2023)
Article
Engineering, Civil
Jing Zhang, Junfeng Gao, Qing Zhu, Rui Qian, Qimou Zhang, Jiacong Huang
Summary: This study successfully characterized nitrogen (N) and phosphorus (P) loading in a mountain-lowland mixed watershed system by coupling different models. The investigation revealed that three watersheds (Nanfei, Pai and Baishitian River Watersheds) contributed significantly to N and P loading in Lake Chaohu Basin. Additionally, polders in the basin exhibited higher N and P retention capacity compared to mountain watersheds. Population density, precipitation intensity, and soil erosion were identified as critical drivers of N and P loss.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Jianzhu Li, Yunpeng Li, Ting Zhang, Ping Feng
Summary: Climate change has affected hydrological processes and redistributed water resources. This study used the SDSM model, BMA method, and QM method to downscale and correct climate data in the Yongding watershed. The results showed an upward trend in temperature, precipitation, and runoff under future climate scenarios, suggesting a potential alleviation of water shortage in the watershed. These findings are of great importance for decision-making in water resources management and protection.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Rohan Eccles, Hong Zhang, David Hamilton, Ralph Trancoso, Jozef Syktus
Summary: This study examines the impacts of climate change on streamflow and water quality in the subtropical Logan-Albert catchment in Australia. The results show that climate warming may lead to decreased streamflow and contaminant loads, with the largest decreases predicted during the dry season. This could result in reduced flushing and increased importance of point source loads in urbanizing catchments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Water Resources
Ritesh Karki, Puneet Srivastava, Latif Kalin
Summary: This study evaluates the impacts of climate change on the surface- and groundwater resources of the Lower ACF River Basin in the southeastern United States. The results show that future climate change will alter the streamflow pattern in the region, leading to increased variability and more frequent low-flow and high-flow events. This can threaten the ecological sustainability of the region by drying ephemeral streams and increase water stress for irrigation, thus posing a threat to agricultural sustainability and increasing water conflict between neighboring states.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Pingping Zhang, Yanpeng Cai, Yanhu He, Yulei Xie, Xiaodong Zhang, Zoe Li
Summary: This paper analyzed the effects of climate change and induced vegetation change on hydrological process in the East River Basin through a SWAT-based model. The study found that the effects of vegetation change on hydrological process were larger than that of temperature change, and the western sub-watersheds were more sensitive to the cumulative changes of vegetation and climate.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Limnology
Zachary J. Hanson, Jacob A. Zwart, Stuart E. Jones, Alan F. Hamlet, Diogo Bolster
Summary: The study examined the potential impact of climate change on the hydrology of lakes in North America, finding that warming temperatures will lead to reduced ice cover and snowpack, increased evaporation, and varied responses among different lake types. Drainage lakes showed little change in water levels, while seepage lakes may experience a decrease in minimum water levels.
Article
Environmental Sciences
Grey R. Evenson, Margaret Kalcic, Yu-Chen Wang, Dale Robertson, Donald Scavia, Jay Martin, Noel Aloysius, Anna Apostel, Chelsie Boles, Michael Brooker, Remegio Confesor, Awoke Teshager Dagnew, Tian Guo, Jeffrey Kast, Haley Kujawa, Rebecca Logsdon Muenich, Asmita Murumkar, Todd Redder
Summary: Using an ensemble of models to simulate critical source areas (CSAs) at the watershed scale, the study found that CSA locations are highly uncertain and may vary substantially across models, with only a subset of CSAs being consistently identified by different models.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Jimin Lee, Minji Park, Joong-Hyuk Min, Eun Hye Na
Summary: Changes in land use and climate can affect the surface runoff and baseflow of streamflow. This study aims to improve predictions of streamflow using the SWAT model by applying the alpha factor estimated using BFLOW for calibration, and to evaluate the impacts of land use and climate changes on streamflow and baseflow. The results show that the alpha factor estimated using BFLOW improves the prediction accuracy of streamflow and baseflow in the SWAT model. Additionally, changes in land use have led to differences in the seasonal characteristics of streamflow and baseflow in the study area.
Article
Mathematics
Jiayu Peng, Chunling Jin, Yue Wu, Zeying Hou, Sijia Gao, Zhaosheng Chu, Binghui Zheng
Summary: The study simulated NPSP transport using the SWAT model and found that N and P loss fields were mainly located near specific rivers, with minimal impact of different cropping systems on N and P load. Pollution discharge mainly originated from critical pollution discharge zones.
Article
Water Resources
Sedighe Nikkhoo Amiri, Mojtaba Khoshravesh, Reza Norooz Valashedi
Summary: Climate change is a significant factor affecting water supply in semi-arid and arid areas such as Iran. This research investigates the impact of climate change and upstream land use on the Tajan River in northern Iran. The study shows that peak streamflow will increase by 4% and 5.7%, while average annual discharges will decrease by 16% and 16.5% from 2016 to 2066 under different climate scenarios. Furthermore, different land use change scenarios lead to an increase in average annual streamflow by 8.5-15.8%. It is concluded that downstream water users should implement strategies to cope with the changing climate and water scarcity.
APPLIED WATER SCIENCE
(2023)
Article
Water Resources
Diress Yigezu Tenagashaw, Tesfa Gebrie Andualem, Workineh Tadesse Ayele, Amanuel Zewdu Belew
Summary: The goal of this study was to investigate the effects of climate change on the hydro-climatic characteristics of the Ribb watershed. Climate data from the CORDEX Africa database were used to compare the 2021-2060 time range with the 1985-2005 baseline. The results showed that meteorological conditions caused a decrease in flow over the season, indicating that climate change will impact the water resources of the Ribb watershed.
APPLIED WATER SCIENCE
(2023)
Article
Environmental Sciences
Rajesh R. Shrestha, Barrie R. Bonsal, Ashish Kayastha, Yonas B. Dibike, Christopher Spence
Summary: This study indicates that the Assiniboine-Red River basin will experience seasonal warming and changes in precipitation distribution in response to global mean temperature changes, leading to wetter winters and springs and drier summers and autumns. Additionally, the snow water equivalent responses are mainly temperature-controlled rather than precipitation-driven.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Jefferson S. Wong, Xuebin Zhang, Shervan Gharari, Rajesh R. Shrestha, Howard S. Wheater, James S. Famiglietti
Summary: In Canada, using combinations of remote sensing and data assimilation products can provide more accurate estimates of water balance, with the combination of CaPA, GLEAM, and JPL mascon GRACE products performing well. Precipitation and evapotranspiration are the main factors leading to nonclosure errors in different regions.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Environmental Sciences
Kyle Siemens, Yonas Dibike, Rajesh R. Shrestha, Terry Prowse
Summary: The study used the degree-day Snowmelt Runoff Model (SRM) combined with MODIS to remotely sense various factors for predicting future runoff changes. The SRM simulations showed consistent patterns in historical flows and future projections, demonstrating good performance in simulating runoff.
Article
Geography, Physical
Daqing Yang, Rajesh R. Shrestha, Joanna Li Yung Lung, Suzanne Tank, Hotaek Park
Summary: This study examined seasonal variations of discharge, water temperature, and heat flux of 15 Canadian northern rivers, identifying similar patterns such as peak discharge in June/July and highest water temperatures in July/August. The study also found differences in river flows along the Arctic Coast from west to east, with higher flows in the west and warmer water temperatures in western and southern Hudson Bay. The results provide critical knowledge for climate and ocean model development and climate change investigations in northern regions.
GLOBAL AND PLANETARY CHANGE
(2021)
Article
Environmental Sciences
Yonas Dibike, Ameer Muhammad, Rajesh R. Shrestha, Christopher Spence, Barrie Bonsal, Laurent de Rham, Jaden Rowley, Grey Evenson, Tricia Stadnyk
Summary: The study aimed to investigate the impact of improved hydrological modeling in prairie pothole regions on future streamflow projection. The results showed that the modified model incorporating Dynamic Contributing Areas (DCA) not only enhanced simulation performance, reduced model uncertainty, but also exhibited greater responsiveness to climatic changes, providing more accurate future streamflow predictions.
JOURNAL OF GREAT LAKES RESEARCH
(2021)
Editorial Material
Environmental Sciences
Barrie R. Bonsal, Yonas B. Dibike, Daniel L. Peters, Rajesh R. Shrestha
Article
Environmental Sciences
Yonas B. Dibike, Rajesh R. Shrestha, Colin Johnson, Barrie Bonsal, Paulin Coulibaly
Summary: The study found that snow water equivalent, April 1st snow water equivalent, and spring precipitation are the most important predictors of annual maximum flows and mean spring flows in western Canadian river basins. The MLR framework is useful for assessing the spatial variation in hydroclimatic controls. Future projections show significant spatial variations in annual maximum and mean spring flows.
Article
Geosciences, Multidisciplinary
Alex J. Cannon, Hunter Alford, Rajesh R. Shrestha, Megan C. Kirchmeier-Young, Mohammad Reza Najafi
Summary: The CanLEADv1 dataset includes 50-member ensembles of bias-adjusted meteorological data covering historical and future scenarios, suitable for hydrological and land surface impact modeling, as well as event attribution studies.
GEOSCIENCE DATA JOURNAL
(2022)
Article
Water Resources
Daniel L. Peters, Dillon Watt, Kevin Devito, Wendy A. Monk, Rajesh R. Shrestha, Donald J. Baird
Summary: This study focuses on water management in the lower Athabasca Basin in Canada. By analyzing the changes in runoff in different geographical regions, a new approach is proposed to understand the diverse variations in flow generation, taking into account factors such as landscape and geology.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Meteorology & Atmospheric Sciences
Rajesh R. Shrestha, Yonas B. Dibike, Barrie R. Bonsal
Summary: Anthropogenic climate change-induced snowpack loss is affecting the predictability of streamflow. This study evaluates the future changes in seasonal streamflow predictability in relation to snowpack change using a machine learning emulator. The results show contrasting patterns of change, with the predictive skills generally declining for mean flow and varying for maximum flow across different basins. The study concludes that snowpack loss alone is not sufficient to explain the reduction in streamflow predictability.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Editorial Material
Environmental Sciences
Rajesh R. Shrestha, Mohammad Reza Najafi
Article
Environmental Sciences
Phil Fong, Craig McCrimmon, Reza Valipour, Rajesh R. Shrestha, Yongbo Liu, Yerubandi R. Rao
Summary: This study evaluates streamflow and phosphorus fluxes variability for the Lake of the Woods watershed using the CanSWAT model. The results show that Rainy River is the primary source of total phosphorus, contributing about 88% of the external non-point source and point source P loads to the lake. A lake mass-balance model suggests that 32-46% of TP load is retained within the lake.
JOURNAL OF GREAT LAKES RESEARCH
(2023)
Article
Environmental Sciences
Rajesh R. Shrestha, Jennifer C. Pesklevits
Summary: Increasing river water temperature due to climate warming is a concern for water quality and ecosystem health. This study evaluates the spatio-temporal variability of river water temperature changes in western Canada, using historical data and modeling. The results provide insights into the hydro-climatic controls, trends, and sensitivities of river water temperature, and have implications for understanding river ecosystem health.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Environmental Sciences
Daniel L. Peters, Yonas B. Dibike, Joseph Shudian, Wendy A. Monk, Donald J. Baird
Summary: This study investigates the potential impacts of climate change on navigability of the lower Athabasca River in Canada. The results suggest that there will be significant reductions in flow and challenging navigational conditions in the future, which may have severe impacts on the users of the river channels.
Article
Computer Science, Information Systems
Rajesh R. Shrestha, Jennifer C. Pesklevits
Summary: Continuous water temperature data are crucial for understanding the historical variability and trends of river thermal regime and the impacts of warming climate on aquatic ecosystem health. This study presents a reconstructed daily water temperature dataset for 55 river stations in western Canada, supplementing sparse historical observations. The dataset, reconstructed using the air2stream model, shows reasonable statistical performance after calibration and validation. The historical trends derived from the dataset reveal significantly increasing water temperature trends during the ice-free summer months.