Article
Engineering, Civil
Anoop Valiya Veettil, Ashok K. Mishra, Timothy R. Green
Summary: This study provides an overview of water security assessment by focusing on various water security indicators and the concept of water footprint. The application of physically-based hydrological models can offer valuable insights into the impact of climate and anthropogenic activities on water security at different scales.
JOURNAL OF HYDROLOGY
(2022)
Article
Water Resources
Xingyu Zhou, Xiaorong Huang, Hongbin Zhao
Summary: The relationship between data length and evaluation of hydrological alteration is uncertain. The study applied the length of record (LOR) method to analyze the impact of different data lengths on Indicators of Hydrologic Alteration (IHA) evaluation in the Jinsha River. Results show that different indicators may require different lengths of data support, and a logarithmic correlation was found between LOR results and the coefficient of variation (CV) of IHA statistics.
HYDROLOGICAL SCIENCES JOURNAL
(2021)
Article
Multidisciplinary Sciences
Ryan A. McManamay, Rob George, Ryan R. Morrison, Benjamin L. Ruddell
Summary: This study presents a comprehensive dataset of hydrologic alteration and its consequences for native fish biodiversity in the conterminous U.S. The dataset, developed using empirical observations and predictive models, can help predict fish biodiversity loss resulting from streamflow modification and inform regional water policy standards and streamflow protection or restoration prioritization.
Review
Engineering, Civil
T. A. Stadnyk, T. L. Holmes
Summary: Stable isotopes in water have been integrated into hydrological models, improving the ability to partition hydrological processes and identify regional sources, leading to early detection of climate change. Recent advances in isotope hydrology have resulted in increased investment in global monitoring networks and the development of modeling tools for prediction and evaluation. This review focuses on the application of isotope tracers in large-scale hydrological modeling and highlights their value for operational water resources prediction.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Vassilios Pisinaras, Frank Herrmann, Andreas Panagopoulos, Evangelos Tziritis, Ian McNamara, Frank Wendland
Summary: To support sustainable water resources management in the Pinios River Basin (PRB), we established and calibrated the mGROWA hydrological model at a high resolution (100 meters) and daily time scale, considering crop-specific irrigation requirements and overcoming data scarcity constraints. This approach provides spatially continuous estimates of various water balance components, such as actual evapotranspiration, irrigation requirements, total runoff, and groundwater recharge, and enables identification of potential unsustainable water use in irrigated agriculture.
Article
Biodiversity Conservation
C. Emi Fergus, J. Renee Brooks, Philip R. Kaufmann, Amina I. Pollard, Alan T. Herlihy, Steven G. Paulsen, Marc H. Weber
Summary: The HydrAP framework was developed to rank lakes based on the potential for dams and land use to alter lake hydrology at a national scale. In the United States, half of the lakes had moderate to high hydro-alteration potential, while the other half had minimal to no potential. The framework can differentiate anthropogenic stressors that may alter lake hydrology and be adapted to specific locations where data are available.
ECOLOGICAL INDICATORS
(2021)
Article
Multidisciplinary Sciences
Wenxian Guo, Xuyang Jiao, Haotong Zhou, Yongwei Zhu, Hongxiang Wang
Summary: This study quantitatively assessed the hydrological variability of the Jialing River and the contribution of climate alteration and human activities to hydrological alterations using the IHA-RVA method and Budyko hypothesis formulations. The results showed a decreasing trend in average annual runoff and precipitation, as well as an increasing trend in potential evapotranspiration. The study also revealed a low to moderate degree of alteration in various hydrological indicators, with precipitation, potential evapotranspiration, and human activities contributing 61%, -16%, and 55% to the runoff alteration, respectively.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
K. Sangeetha, Balaji Narasimhan, R. Srinivasan
Summary: This study aims to test the concept of integrating a distributed hydrologic model with an AEM model at the same spatial units, primarily focusing on the interaction between a shallow unconfined aquifer and surface water and groundwater. The results of the study show the potential application of SWAT-AEM coupling in regions with significant SW-GW interactions.
Article
Computer Science, Interdisciplinary Applications
Victor L. Roland II, Elena Crowley-Ornelas
Summary: This study uses modeled daily streamflow to assess hydrologic alteration in the Pearl and Pascagoula River basins, and develops Cubist models to predict and identify the importance of basin characteristics on alteration. The results demonstrate the feasibility of model trees in assessing hydrologic alteration.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Engineering, Civil
Ramesh S. Teegavarapu, Priyank J. Sharma, Prem Lal Patel
Summary: This study proposes a new frequency-based performance measure (FBPM) and its variant, composite performance measure (CPM), to better evaluate the performance of hydrologic forecasting models. These new measures provide more comprehensive and reliable assessment compared to existing error and performance measures. Traditional measures tend to overestimate model performance, while FBPM and CPM can accurately identify inferior models.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Mischa P. Turschwell, Ben Stewart-Koster, Rob Kenyon, Roy A. Deng, Danial Stratford, Justin D. Hughes, Carmel A. Pollino
Summary: Water resource development can have impacts on aquatic species that rely on freshwater and estuarine environments. This study analyzed the influence of flow from the Mitchell River on the catch of white banana prawns in the Gulf of Carpentaria, Australia. The results showed that multiple components of the flow regime contribute to the fishery catch and the relationship between prawn presence and flow is spatially structured across the fishing ground.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Water Resources
Yang Yu, Zhuowen Li, Tong Yu, Shuai Guo, Yongchao Zhou, Xiaochen Li, Wenming Zhang
Summary: This study used the HYDRUS 1D model to investigate the performance of bioretention systems in cold regions during winter snowmelt, spring runoff, and summer large storms. The research found that the effective hydraulic conductivity (K-S) values of the soil media were similar for winter snowmelt and spring runoff when the soil temperature was around -0.5 degrees C. Preferential flow is likely to occur in soil media during winter or spring in cold regions. The summer modeling showed that bioretention could significantly reduce peak flow, ponding depth, and duration for large storm events.
HYDROLOGICAL PROCESSES
(2023)
Article
Environmental Sciences
Satyajit Paul, Swades Pal
Summary: This study aimed to model hydrological strength (HS) and assess the degree and direction of hydrological alteration in the Indian moribund deltaic wetland. Two ensemble Machine Learning techniques were used to model hydrological strength, and image algebra was employed for change detection. The results showed a significant loss of wetland area, particularly in moderate and weak HS zones. The study also found spatial differences in hydrological strength between wetland core and periphery, as well as river linked and delinked wetlands. The XGBoost model outperformed the Random Forest model in terms of statistical validation techniques and field evidence. This study's findings are crucial for rational planning towards wetland conservation and restoration.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Satyajit Paul, Swades Pal
Summary: This study aimed to model hydrological strength changes in the Indian moribund deltaic wetland, revealing significant wetland area losses, spatial differences in wetland features, and the superior performance of the XGBoost machine learning model.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Biodiversity Conservation
Michal Habel, Bogumil Nowak, Pawel Szadek
Summary: Our study retrospectively evaluates the perturbances of opencast mining on small rivers, using a standard 'before-after-control-impact' approach. We found that open-pit mining significantly impacts the flow regimes of small-to-medium-size rivers, resulting in degraded functioning of the river ecosystems.
ECOLOGICAL INDICATORS
(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
Environmental Sciences
Rajesh R. Shrestha, Barrie R. Bonsal, James M. Bonnyman, Alex J. Cannon, Mohammad Reza Najafi
Summary: The study predicts that under global warming, there will be a decline in snow water equivalent in large river basins of northwestern North America, with more severe declines in southern regions and the possibility of small increases or decreases in northern regions. The findings suggest that temperature and precipitation play a significant role in these changes, and that southern basins with high water demands are likely to experience the most extreme occurrences of snow drought.
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
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.