Article
Environmental Sciences
Zhu Liu, Jonathan D. Herman, Guobiao Huang, Tariq Kadir, Helen E. Dahlke
Summary: This study uses SWAT model to estimate projected changes in snowpack and streamflow in four alpine tributaries to the southern Central Valley, California. Results show that peak streamflow is expected to increase and arrive earlier in the coming decades under a warming climate, while snow cover will reduce and surface water supply will increase with increased temporal variability posing new challenges.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Qianwen He, Frank Molkenthin
Summary: This study proposes a three-group objective calibration approach for catchments with limited observations, and applies it to the Yuan River Catchment. Results show that multi-objective calibration improves model performance and reduces parameter and prediction uncertainty.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Engineering, Civil
Yuzhuang Chen, Monireh Faramarzi, Thian Yew Gan, Yuntong She
Summary: This study develops an automatic calibration framework to assess the performance of a hydrological model in simulating snow water equivalent (SWE) and streamflow. The results suggest that using ERA5 data as climate input and automatic multi-variable calibration can improve the prediction of snow-related parameters and streamflow. The framework developed in this study can help reduce uncertainties in hydrological modeling of large-scale, regulated, and snow-dominated watersheds in higher latitudes and contribute to reliable strategies for water resources planning and management.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
R. Perico, P. Brunner, P. Frattini, G. B. Crosta
Summary: This study utilized Sentinel satellite data and the water balance approach to estimate groundwater storage in a snow-dominated alpine catchment. The results provide valuable insights into the dynamics of groundwater storage and the effects of physiographic parameters and seasonality on hydrological processes.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
J. M. Thornton, T. Brauchli, G. Mariethoz, P. Brunner
Summary: This study presents a novel approach to calibrate an energy balance-based snow model that accounts for gravitational redistribution. By efficiently estimating several key parameters and utilizing two complementary observation types, the model successfully reproduces observed patterns on a per-pixel basis, reducing the propensity for prediction errors.
JOURNAL OF HYDROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Anthony Michelon, Natalie Ceperley, Harsh Beria, Joshua Larsen, Torsten Vennemann, Bettina Schaefli
Summary: Hydrological processes in high-elevation catchments are greatly influenced by snow accumulation, melt, and summer rainfall. This study used a combination of natural tracers to investigate streamflow sources and flow paths in a snow-dominated Alpine catchment. The findings revealed the importance of snowmelt year-round, as well as the use of stable isotope compositions, electrical conductivity, and temperature measurements to characterize different hydrological processes.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Geography, Physical
Rebecca Gugerli, Darin Desilets, Nadine Salzmann
Summary: This study explores the use of muon counts to monitor the snow water equivalent (SWE) in high mountain regions. The results show that the muonic cosmic ray snow gauge (mu-CRSG) measurements agree with the neutronic cosmic ray snow gauge (n-CRSG) measurements and are within the uncertainty of manual observations. The mu-CRSG is a highly promising method to monitor SWE in remote high mountain environments with several advantages over the n-CRSG.
Article
Water Resources
Norman Pelak, Mohammad Sohrabi, Mohammad Safeeq, Martha Conklin
Summary: Mountain snowpack is essential for ecosystems and serves as a freshwater source for various purposes. Predicting snowpack evolution is challenging due to limited precipitation gauges in high mountain regions. In this study, we combine precipitation and snowpack measurements to improve basin-scale snowpack estimates. The blended scenario shows improved predictions compared to other scenarios, highlighting the importance of accurate precipitation representation for hydrologic modeling.
HYDROLOGICAL PROCESSES
(2023)
Article
Water Resources
Ahmad Hasan Nury, Ashish Sharma, Lucy Marshall, Ian Cordery
Summary: Understanding the hydrological processes in the Tibetan Plateau is crucial due to the demand for freshwater downstream. However, the limited information makes it challenging to develop a hydrological model that characterizes future streamflow. This study proposes a flexible conceptual hydrological model based on remote sensing data, which can simulate dynamically varying snow cover fraction, snow water equivalent, and streamflow.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Engineering, Civil
Daniel T. Myers, Darren L. Ficklin, Scott M. Robeson
Summary: The incorporation of a ROS model into SWAT improved winter flows and decreased summer flows in the North American Great Lakes Basin. The model outperformed the unmodified SWAT in daily streamflow and snowpack simulation, highlighting the importance of considering ROS events in hydrological models in cold climates.
JOURNAL OF HYDROLOGY
(2021)
Article
Geochemistry & Geophysics
Reza Naderpour, Mike Schwank, Derek Houtz, Charles Werner, Christian Maetzler
Summary: This article experimentally investigates the relationships between snow-ground state parameters and copol backscattering at a wide range of frequencies, finding an anticorrelation between snow wetness and backscattering coefficient. It assesses the relative strengths of the snow-ground system's primary scattering elements and how snow-ground SPs influence backscattering at different time scales. The study emphasizes the importance of multifrequency active microwave measurements for developing retrieval algorithms and understanding ongoing physical processes.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Water Resources
Ali A. Besalatpour, Mohsen Pourreza-Bilondi, Amirhosein Aghakhani Afshar
Summary: The calibration process for hydrological models is crucial and this study used parallel processing to speed up calculations and reduce running time, resulting in significantly reduced computational time for parameter calibration. A 4-objective function strategy provided an efficient tool to decide the best simulation based on the investigated objective functions, with potential application in hydrological and water quality models worldwide.
APPLIED WATER SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Yanchen Zheng, Jianzhu Li, Ting Zhang, Youtong Rong, Ping Feng
Summary: Adopting new technologies for hydrological model calibration to produce accurate simulations for water resources or flood risk management is an important research topic. Incorporating hydrological signatures and concepts in model calibration has become prevalent. This research uses flood scaling property to constrain the multi-objective model calibration, taking into account the statistical relationship between flood peak, contributing areas, and catchment attributes. Recommended approach is the multi-objective calibration method, which improves model performance in terms of flow duration curve and reduces long-term runoff ratio bias.
Article
Agronomy
Damian Badora, Rafal Wawer, Anna Nierobca, Aleksandra Krol-Badziak, Jerzy Kozyra, Beata Jurga, Eugeniusz Nowocien
Summary: This article presents flow modeling indices of the Bystra River area simulated using the SWAT model under different climate models, showing potential impacts of climate change on water balance and vegetation growth in the region in the coming decades.
Article
Environmental Sciences
Aleh Meshyk, Maryna Barushka, Viktoryia Marozava
Summary: There are differences in snow cover characteristics between Belarus and neighboring countries, with variations in snow water equivalent related to altitude, year, and region. Snow water equivalent shows cyclic changes and correlates with current climate fluctuations. There is a trend of decreasing snow water equivalent in certain parts of Belarus, while meltwater and river runoff data support the findings.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Tobias Bolch, Doris Duethmann, Michel Wortmann, Shiyin Liu, Markus Disse
Summary: The Tarim River basin heavily relies on glacier meltwater for its water supply due to its extremely arid climate, with the majority of the water originating from the transboundary Aksu River. This dependence leads to competition for water between human activities, particularly agriculture, and natural ecosystems, while ongoing climate change significantly impacts the cryosphere.
INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
(2022)
Article
Agronomy
Dong Yan, Lin Chen, Huaiwei Sun, Weihong Liao, Haorui Chen, Guanghui Wei, Wenxin Zhang, Ye Tuo
Summary: This study defines ecological water rights based on the elasticity and relative importance of ecological water use in different regions of a basin, and proposes a method for allocating these rights. The application of this method in the mainstream watershed of Tarim River in China shows that it can meet the ecological water demand of vegetation in important areas when the overall available ecological water is 77% of the demand. However, the demand in non-important areas must be reduced.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Karim Pyarali, Jian Peng, Markus Disse, Ye Tuo
Summary: This study developed a high-resolution drought dataset for Central Asia and found a strong correlation between SPEI-HR and other drought indicators, which helps identify potential drought hotspots in the region.
Article
Engineering, Civil
V Sivelle, H. Jourde, D. Bittner, B. Richieri, D. Labat, A. Hartmann, G. Chiogna
Summary: This study examines the implication of considering a semi-distributed recharge in a lumped parameter model through multiple hydrological model calibrations and focuses on the uncertainty caused by the model structure. The results suggest that considering a semi-distributed recharge can improve the performance of hydrological models in forest-dominated karst areas, but it may not be applicable to all karst environments.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
M. Basilio Hazas, G. Marcolini, M. Castagna, M. Galli, T. Singh, B. Wohlmuth, G. Chiogna
Summary: The management of hydropower plants has a strong impact on the interaction between surface water and groundwater, especially during dry years and winter seasons. In the Alpine region, reservoir operations significantly affect the groundwater fluctuation, which is mainly influenced by specific hydrological year conditions. Under dry conditions, hydropeaking mainly affects the temporal dynamics of rivers and aquifers.
WATER RESOURCES RESEARCH
(2022)
Article
Water Resources
Florentin Hofmeister, Floriana Graziano, Giorgia Marcolini, Winfried Willems, Markus Disse, Gabriele Chiogna
Summary: This study examines hydrometeorological time series in two high-elevation Alpine catchments and identifies trends, change points, and inhomogeneities. The results show that these statistical properties of the time series can introduce uncertainty into hydrological model results, with inhomogeneities having a stronger influence on cryosphere processes than on runoff generation.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Environmental Sciences
Mohammad Alqadi, Ala Al Dwairi, Pablo Merchan-Rivera, Gabriele Chiogna
Summary: The article introduces a new software called DeMa, which aims to support wellfield managers in their decision-making processes. This software combines well maintenance, operation, design, installation, and cost data with hydrological field measurements, differentiating itself from other available software. DeMa also provides an effective graphical representation of the data by linking different information.
Article
Engineering, Civil
Xianneng Zha, Huaiwei Sun, Hao Jiang, Lei Cao, Jie Xue, Dongwei Gui, Dong Yan, Ye Tuo
Summary: Updating risk measures is important for reservoir management practice and decision-making. A risk assessment framework using Bayesian network and copula-based estimation was proposed. The framework was applied to the Danjiangkou Reservoir and provided valuable decision-making information. The Bayesian network based on copula-based estimation was more robust and accurate in simulating the dependence of hydrological variables.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
J. Ashish Manoj, Teresa Perez Ciria, Gabriele Chiogna, Nadine Salzmann, Ankit Agarwal
Summary: Studies have shown that increased extreme precipitation does not directly lead to flooding. This study focuses on understanding the spatial and temporal patterns of the relationship between soil moisture and precipitation in Europe. By using an event-based analysis, the study quantifies the probability of soil moisture preceding precipitation and examines the statistical relationship between joint episodes of soil moisture and precipitation and reported flood events. The results highlight the importance of considering seasonality and interdependencies in flood risk mitigation and provide valuable insights for comprehensive flood risk assessment studies.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Leonardo F. Arias-Rodriguez, Ulas Firat Tuezuen, Zheng Duan, Jingshui Huang, Ye Tuo, Markus Disse
Summary: This study aims to improve the modeling of inland water quality by utilizing a global dataset of lake characteristics and incorporating remote sensing and field measurement data. The results suggest that machine learning algorithms can effectively model water quality at a global scale, but challenges such as data calibration and atmospheric correction should be addressed. Further research is needed to understand the mechanisms for predicting non-optically active parameters.
Article
Environmental Sciences
Florentin Hofmeister, Brenda Rubens Venegas, Gabriel Sentlinger, Michael Tarantik, Theresa Blume, Markus Disse, Gabriele Chiogna
Summary: Salt dilution is a reliable method for measuring streamflow in creeks, especially downstream of turbulent flow sections. Manual measurements of salt dilution have limitations in observing rare peak flow events. An automated streamflow measuring system was used to overcome these limitations and detect changes in the rating curve caused by erosion and deposition processes. The system's reliability was evaluated using a large dataset and the primary sources of uncertainty were identified.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Geography, Physical
Muhammad Fraz Ismail, Wolfgang Bogacki, Markus Disse, Michael Schaefer, Lothar Kirschbauer
Summary: This study aims to quantify the effects of spatial, temporal, and climatic conditions on the degree-day factor (DDF) of snow in order to gain a better understanding of the influential factors. The analysis shows that cloud cover and snow albedo under clear sky are the most decisive factors for estimating the DDF of snow. Climate change is expected to decrease the DDF, as melt will occur earlier in the year when solar radiation is lower and albedo is higher. Therefore, the DDF cannot be treated as a constant parameter, especially in temperature-index models for forecasting water availability.
Article
Green & Sustainable Science & Technology
Sisay S. Mekonen, Scott E. Boyce, Abdella K. Mohammed, Lorraine Flint, Alan Flint, Markus Disse
Summary: This study developed a process-based hydrologic model that combines local and remotely sensed data to estimate groundwater recharge in data-scarce regions. The results showed that recharge and runoff mainly occurred in the mountainous and front areas of the study area. The relation between monthly recharge and precipitation was nonlinear, indicating the episodic nature of recharge in semi-arid regions.
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)