Article
Water Resources
Nischal Karki, Narendra Man Shakya, Vishnu Prasad Pandey, Laxmi Prasad Devkota, Ananta Man Singh Pradhan, Suraj Lamichhane
Summary: This study assesses the strengths and weaknesses of widely used regionalization methods for simulating daily hydrograph and flow duration curve in 23 medium to small-sized watersheds across Nepal. The physical similarity method was found to be the most robust, particularly for ungauged watersheds in Nepal. The study advocates for the use of hydrological model regionalization as a promising tool for streamflow prediction in ungauged Himalayan watersheds.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Engineering, Civil
Ali Ahani, S. Saeid Mousavi Nadoushani, Ali Moridi
Summary: In this study, a ranking method is proposed to compare various regionalizations and select more suitable ones for regional flood frequency analysis. The method considers the homogeneity, quantile estimation accuracy, and average region size. The method was applied to the Karun-ebozorg basin in Iran and showed acceptable performance in identifying a suitable regionalization.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Galen Gorski, Margaret A. Zimmer
Summary: Agricultural watersheds play a significant role in nutrient excess downstream. The mobilization of nutrients in these watersheds is influenced by various factors and differs in different seasons and rainfall processes. The behavior of baseflow is chemodynamic, while stormflow shows consistent chemostatic patterns.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Abdulnoor A. J. Ghanim, Salmia Beddu, Teh Sabariah Binti Abd Manan, Saleh H. Al Yami, Muhammad Irfan, Salim Nasar Faraj Mursal, Nur Liyana Mohd Kamal, Daud Mohamad, Affiani Machmudah, Saba Yavari, Wan Hanna Melini Wan Mohtar, Amirrudin Ahmad, Nadiah Wan Rasdi, Taimur Khan
Summary: This study develops a simple conceptual model to simulate hydrological processes in arid environments and successfully predicts peak flow rates. The model, which requires inputs such as hourly rainfall, potential evapotranspiration, and streamflow records, is calibrated and analyzed using data from an arid catchment in Jordan. The model shows good fit with both observed and simulated data, indicating its potential for peak discharge prediction.
Article
Environmental Sciences
Xiang Li, Ankush Khandelwal, Xiaowei Jia, Kelly Cutler, Rahul Ghosh, Arvind Renganathan, Shaoming Xu, Kshitij Tayal, John Nieber, Christopher Duffy, Michael Steinbach, Vipin Kumar
Summary: This paper investigates streamflow prediction and proposes a robust regionalization approach using random vectors as substitutes for catchment physical descriptors. Experimental results demonstrate that this random vector approach achieves good predictive performance under different data sparsity scenarios and deep learning model selections, especially when the physical descriptors are uncertain or insufficient.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
A. Morabbi, A. Bouziane, O. Seidou, N. Habitou, D. Ouazar, T. B. M. J. Ouarda, C. Charron, M. D. Hasnaoui, M. Benrhanem, K. Sittichok
Summary: Hydrologic regionalization involves regrouping stations and catchments based on a similarity measure, to extract a robust signal for describing the hydrology of a region. However, existing methods often overlook the non-linear and non-stationary nature of hydrometeorological variables. This study introduces a novel similarity measure based on changepoint locations in hydrological time series, applied to the Tensift watershed in Morocco, with coherence of detected regions verified using wavelet coherence.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Han Xiao, Jose G. Vasconcelos
Summary: The use of hydrologic modeling tools in urban watersheds requires the calculation of infiltration losses. One widely used method is the curve number (CN) method, implemented in the US EPA's Storm Water Management Model (SWMM 5). This study compares different approaches to CN computation in SWMM and evaluates their differences using field data and WinTR-55. The fully composite approach, computing CN from all subcatchment areas, yielded the best results for sub-watersheds with higher average CN.
Article
Environmental Sciences
Shannon L. Speir, Jennifer L. Tank, Magdalena Bieroza, Ursula H. Mahl, Todd Royer
Summary: Agroecosystems in the Midwest have experienced changes in land use and hydrology that affect nutrient export dynamics in streams. High-frequency sensor data revealed that nitrate export during storm events was influenced by diverse physicochemical processes across both annual and seasonal scales. The variability in hysteresis and flushing indices suggests the importance of understanding individual storm events in determining watershed-scale nutrient export.
Article
Geosciences, Multidisciplinary
Daniel T. Myers, Darren L. Ficklin, Scott M. Robeson
Summary: Rain-on-snow (ROS) melt events decrease water storage in the snowpack and exacerbate flooding. This study used a hydrologic model to simulate changes in ROS events in the North American Great Lakes Basin from 1960-2069. The results show a reduction in melt in warmer, southern subbasins and a smaller reduction in colder, northern subbasins, while rainfall reduces snowpack formation. This research is important for managing freshwater ecosystems and human uses in regions sensitive to ROS events.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Stephen K. Adams, Brian P. Bledsoe, Eric D. Stein
Summary: Environmental streamflow management can improve stream ecology by returning modified flows to natural conditions. This study develops a novel classification technique for predicting streamflows, which prioritizes modeling accuracy and complements traditional classifications for environmental flow management.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Multidisciplinary Sciences
Rim Cherif, Emna Gargouri-Ellouze
Summary: This study successfully partitions the hydrological regions in Tunisia into two similar regions using clustering analysis and calculates the distances based on physical-geographical and hydrological data. The results show that certain physical-geographical attributes have a significant impact on the partitioning efficiency, while hydrological signatures are irrelevant. These partitions provide crucial support for hydrological decision-makers and enable hydrological forecasting in data-scarce situations.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Theodore B. Barnhart, William H. Farmer, John C. Hammond, Graham A. Sexstone, Janet H. Curran, Joshua C. Koch, Jessica M. Driscoll
Summary: This study examines the spatial variation in hydrologic processes and the techniques to group ungaged locations with gaged ones in order to build continental-scale hydrologic models in data-sparse regions. The study identifies six hydrologic regions across Alaska and finds that random forest modeling with basin characteristics outperforms statistically estimated streamflow in assigning the ungaged locations to a region. The study also demonstrates that FDSS-based hydrologic regions can discern process differences across a data-sparse and hydrologically diverse landscape.
RIVER RESEARCH AND APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Abdulnoor A. J. Ghanim
Summary: This study investigates the ability of simple, parsimonious water balance models to simulate monthly stream flows for poorly gauged catchments in southwest Saudi Arabia. The results show that the SIXPAR model based on the regionalization approach is more capable of producing the monthly streamflow at the ungauged site under all flow conditions.
Article
Agricultural Engineering
Michael W. W. Horst, Austin Farnum, Amanda Stephenson
Summary: This study simulated runoff hydrographs using both a hydrologic method and a hydraulic method, and compared the results with measured values. The analysis showed that neither technique consistently produced accurate results compared to historical data. However, the peak flow results tended to improve for simulations involving larger watershed areas, larger flow return periods, and larger rainfall events.
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
(2023)
Article
Water Resources
Alireza Mohebzadeh Fattahi, Khosrow Hosseini, Saeed Farzin, Sayed-Farhad Mousavi
Summary: The research aims to investigate the combination of distributed hydrological models and a one-dimensional hydraulic model, as well as simulate waterways in large watersheds with limited data. Sensitivity analysis on different parameters is conducted to identify the parameters that have the greatest influence on results. Results show that a lower spatial resolution of the topographic model has minimal effects on the accuracy of simulation. Increasing the density of waterways significantly increases peak discharge. Grid cell sizes larger than 200 m can induce substantial errors in results.
APPLIED WATER SCIENCE
(2023)