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Event-based evaluation of operational ENSO forecasting models in 2002–2020: Implications for seasonal water resources management J. Hydrol. (IF 6.4) Pub Date : 2024-05-09 Hui Wang, Tirusew Asefa, Jared Duncan
Given the practical implications of El Niño-Southern Oscillation (ENSO) forecasting for developing decision support systems and its importance in global climate prediction on seasonal to interannual scales, significant efforts have been made to enhance ENSO forecasts. This study presents an event-based evaluation of ENSO forecasts and discusses the implications of such forecasts to water resources
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New formula of vegetation roughness height and Darcy–Weisbach friction factor in channel flow J. Hydrol. (IF 6.4) Pub Date : 2024-05-06 Da-Qian Feng, Jing-Jing Fan, Wei-Jie Wang, Cheng-Xing Xia, Ang Li
Assessing the flow resistance caused by vegetation in rivers is a hot topic in the field of hydraulics and eco-hydrology. Based on mathematical experiments by first-order closure models, new roughness height of vegetation is proposed linked with the three factors that vegetation arrangement concentration, submergence ratio, and the ratio of width to height of vegetation. Besides, new Darcy–Weisbach
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Tracking the nitrogen leaching from different sources in bioretention systems with a process-based model J. Hydrol. (IF 6.4) Pub Date : 2024-05-03 Chenxi Xia, Wei Ding, Shuqi Yu, Fan Wang, Wenbo Fan, Feng Zhou, Huapeng Qin
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Deformation of vegetated channel bed under ice-covered flow conditions J. Hydrol. (IF 6.4) Pub Date : 2024-05-03 Mahboubeh Barahimi, Jueyi Sui
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Rock moisture reinforces belowground water storage under different precipitation scenarios and vegetation coverage J. Hydrol. (IF 6.4) Pub Date : 2024-05-03 Zhanbin Luo, Jun Fan, Ming'an Shao, Qian Yang, Minghui Li
Rock moisture is rarely deliberated but crucial for hydrologic regulation in semiarid loess hilly regions. In this study, using in-situ monitoring observation and simulation, soil and rock moisture spatiotemporal variations under planting alfalfa and caragana were analyzed and sketched, and the water storage contributions by weathered bedrock layers (WBLs) under different rainwater scenarios were then
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Regionalization of GRACE data in shorelines by ensemble of artificial intelligence methods J. Hydrol. (IF 6.4) Pub Date : 2024-05-03 Vahid Nourani, Nardin Jabbarian Paknezhad, Sepideh Mohammadisepasi, Yongqiang Zhang
Groundwater (GW) plays a crucial role in coastal aquifers and arid regions, serving as a lifeline for communities by providing a reliable and resilient water source, making its monitoring essential for sustainable water management. This study aimed at modeling GW via regionalization of the Gravity Recovery and Climate Experiment (GRACE) data based on two methods. The first method directly regionalized
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Socio-hydrological modelling using participatory System Dynamics modelling for enhancing urban flood resilience through Blue-Green Infrastructure J. Hydrol. (IF 6.4) Pub Date : 2024-05-02 Virginia Rosa Coletta, Alessandro Pagano, Nici Zimmermann, Michael Davies, Adrian Butler, Umberto Fratino, Raffaele Giordano, Irene Pluchinotta
Cities are complex systems characterised by interdependencies among infrastructural, economic, social, ecological, and human elements. Urban surface water flooding poses a significant challenge due to climate change, population growth, and ageing infrastructure, often resulting in substantial economic losses and social disruption. Traditional hydrological modelling approaches for flood risk management
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A scaling-based model to describe temporal variability in soil hydraulic properties J. Hydrol. (IF 6.4) Pub Date : 2024-04-30 Saurabh Kumar, Richa Ojha
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Comparing sensitivities of groundwater head to variations in hydraulic parameters under boundary conditions of river stage rise and tidal variation J. Hydrol. (IF 6.4) Pub Date : 2024-04-30 Jiong Zhu, Yuanyuan Zha, Tian-Chyi Jim Yeh, Walter A. Illman
The sensitivity of hydraulic head responses to spatially distributed hydraulic parameters is essential for uncertainty analysis, inverse modeling, and parameter estimation and interpretation. This study formulates the Fréchet sensitivity kernel of hydraulic head responses to a suddenly rising boundary and a sinusoidal head fluctuation boundary to variation of spatially distributed hydraulic parameters
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Climate change as main driver of centennial decline in river sediment transport across the Mediterranean region J. Hydrol. (IF 6.4) Pub Date : 2024-04-30 Marco Luppichini, Marco Lazzarotti, Monica Bini
The analysis of suspended sediment transport and of its variations over time is crucial for understanding environmental evolution and it is the key to future challenges caused by current global warming. The Mediterranean area is a hot spot for global changes, and the variation of precipitation amount and intensity will modify the environment of this region.
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New paradigm for watershed model development by coupling machine learning algorithm and mechanistic model J. Hydrol. (IF 6.4) Pub Date : 2024-04-30 Guowangchen Liu, Lei Chen, Wenzhuo Wang, Shuai Wang, Kaihang Zhu, Zhenyao Shen
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Predicting post-fire hydrological and erosive catchment response during rainfall events. A comparison of OpenLISEM and MOHID Land models J. Hydrol. (IF 6.4) Pub Date : 2024-04-29 Marta Basso, Jantiene Baartman, Martinho Martins, Jacob Keizer, Diana Vieira
Wildfires are a source of instability for the natural water cycle in forested watersheds, endangering the water quantity and quality reaching downstream water bodies. The faster hydrological response of a burned area leads to increased runoff and transport of sediment and ash particles during and after rainfall events. Therefore, the use of an adequate spatiotemporal resolution in hydrological models
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A coupled PSR-based framework for holistic modeling and flood resilience assessment: A case study of the 2022 flood events in five southern provinces of China J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Xingfeng Fu, Yun Liu, Zhiqiang Xie, Fengshan Jiang, Jiarui Xu, Zhibing Yang, Zhanting Deng, Qisheng Wang, Mengfan Liao, Xiaodong Wu, Zhanhui Wang, Qingyun Du
In the context of global climate change, the increasing frequency of extreme weather events has led to increasingly severe disaster situations. Traditional disaster management approaches are inadequate for addressing these challenges; thus, the concept of resilience has gradually been integrated into disaster management strategies. This study addresses this gap by developing a semi-quantitative evaluation
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The impact of environmental variables on surface Conductance: Advancing simulation with a nonlinear Machine learning model J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Nastaran Chitsaz, Huade Guan, Margaret Shanafield, Lu Zhang, Okke Batelaan
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Analysing the influence of surface greening on soil conservation in China using satellite remote sensing J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Jiaqi Yao, Jing Li, Yongqiang Cao, Min Chen, Chenyue Zhang, Fan Mo, Guodong Jia, Huanyu Chang, Jianjun Wu
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Drought propagation and its driving forces in central Asia under climate change J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Yanchao Zhu, Peng Yang, Jun Xia, Heqing Huang, Yaning Chen, Zhi Li, Kaiya Sun, Jingxia Song, Xiaorui Shi, Xixi Lu
Drought propagation time (PT) and threshold (TR) play crucial roles in real-time monitoring of drought progression and severity under climate change, for which there is currently no unified method or standard for quantitative characterization. Central Asia (CA), a prototypical arid region, is frequently plagued by droughts that profoundly impact its ecology and socioeconomic framework, leaving a lack
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A study of the flow characteristics with natural accumulations of vegetative floating matter at trash racks J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Songli Yu, Yidan Ai, Wenxin Huai
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Impacts of vegetation and tidal conditions on porewater and salt transport in coastal wetlands: Numerical simulations and field evidence J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Yibin Dai, Tiejun Wang, Qiong Han, Zhe Kong, Lichun Wang, Yun Li, Yunchao Lang
Coastal wetlands are crucial ecosystems with high fragility to environmental alterations. Despite early efforts, interactions of water and salt with vegetation in coastal wetlands have rarely been investigated especially with increasing anthropogenic disturbances. Here, field data and numerical simulations were utilized to understand the influences of vegetation, evapotranspiration (), tide, and inundation
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Spatial propagation of different drought types and their concurrent societal risks: A complex networks-based analysis J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Dineshkumar Muthuvel, Bellie Sivakumar
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Differences in soil water movement between the dip and anti-dip slopes of a karst trough valley J. Hydrol. (IF 6.4) Pub Date : 2024-04-28 Xing Tian, Wei Wu, Sibo Zeng, Yao Li, Yongjun Jiang
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Carbonate dissolution enhances particulate iron sulfide mobilization during water-shale interaction J. Hydrol. (IF 6.4) Pub Date : 2024-04-27 David Raynes, Han Zhang, Simon Emmanuel
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Effects of the groundwater flowing and redox conditions on arsenic mobilization in aquifers of the Datong Basin, Northern China J. Hydrol. (IF 6.4) Pub Date : 2024-04-27 Junxia Li, Xianjun Xie, Yanxin Wang
A multi-level field site was built at the As-affected area of the Datong basin. The one-year monitoring results showed that the three aquifers exhibit different redox conditions and hydrogeochemical behaviors. In the shallow aquifer, groundwater As concentration is up to 220.5 μg/L, which is related to the dissimilatory reduction of poor-crystalline Fe minerals. In the middle aquifer, groundwater sulfate
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Deep dive into predictive excellence: Transformer's impact on groundwater level prediction J. Hydrol. (IF 6.4) Pub Date : 2024-04-27 Wei Sun, Li-Chiu Chang, Fi-John Chang
Groundwater, an essential water resource in Taiwan, is closely linked to land subsidence in the Zhuoshui River basin due to excessive exploitation. Therefore, there is a critical need for robust monitoring and predictive tools to facilitate effective management of water resources. Despite the success of Transformer neural networks in natural language processing, their potential in environmental research
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Soil moisture dynamics and associated rainfall-runoff processes under different land uses and land covers in a humid mountainous watershed J. Hydrol. (IF 6.4) Pub Date : 2024-04-27 Zhixin Lin, Qiang Wang, Youpeng Xu, Shuang Luo, Caiyu Zhou, Zhihui Yu, Chong-Yu Xu
Identifying soil moisture dynamics is critical for understanding watershed hydrological processes. Soil moisture responses to rainfall vary with land use and land covers (LULCs) and thus influence rainfall-runoff processes, however, the knowledge about how different LULCs affect such processes was less revealed, especially in humid areas. In this study, we investigated the characteristics of soil moisture
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Laboratory and numerical simulations of infiltration process and solute transport in karst vadose zone J. Hydrol. (IF 6.4) Pub Date : 2024-04-26 Ruitong Liu, Jinguo Wang, Yibo Zhang, Thomas Reimann, Andreas Hartmann
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Reducing climate impacts on karst groundwater resources by constructing a cave dam. A case study from Central Taurus Karst, Türkiye J. Hydrol. (IF 6.4) Pub Date : 2024-04-26 Mehmet Çelik, Süleyman Selim Çallı, Seyit Altın, Kübra Özdemir Çallı
Susuz karst aquifer is a mountainous and highly karstified aquifer located at the Central Taurus karst belt, Seydişehir, Türkiye. Pınarbaşı karst spring is a major water resource of the Susuz karst aquifer which drains approximately 15 million m of water annually, mostly between January and July. As the Pınarbaşı spring dries up for the rest of the year, local water needs frequently emerge during the
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Analysis of irregularly sampled stream temperature time series: challenges and solutions J. Hydrol. (IF 6.4) Pub Date : 2024-04-26 Vaughn Grey, Belinda E. Hatt, Tim D. Fletcher, Kate Smith-Miles, Rhys A. Coleman
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Divergent patterns of rainfall regimes in dry and humid areas of China J. Hydrol. (IF 6.4) Pub Date : 2024-04-25 Ying Hu, Fangli Wei, Bojie Fu, Shuai Wang, Xiangming Xiao, Yuanwei Qin, Shihua Yin, Zhuangzhuang Wang, Lingfan Wan
Monitoring the long-term dynamics of the wet season is important for both the current operation and future management of water resource systems. Wet seasons in China are substantially influenced by monsoons with great variability but are unknown. We conducted a comprehensive assessment of rainfall regimes in China between 1982 and 2020 using a modified anomalous accumulation method at the pixel level
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Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways J. Hydrol. (IF 6.4) Pub Date : 2024-04-24 Yangxiaoyue Liu, Xiaona Chen, Yongqing Bai, Jiangyuan Zeng
The Sixth Phase of the Coupled Model Intercomparison Project (CMIP6) provides ample soil moisture (SM) products during 2015–2100, which are widely used in investigating future hydrological pattern. However, there remains limited understanding regarding the accuracy of multi-model CMIP6 SM future simulations following different Shared Socioeconomic Pathways (SSP). This study assesses the spatial–temporal
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NMR-based pore water distribution characteristics of silty clay during the soil compaction, saturation, and drying processes J. Hydrol. (IF 6.4) Pub Date : 2024-04-24 Yu-xin Zhao, Li-zhou Wu, Xu Li
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Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information J. Hydrol. (IF 6.4) Pub Date : 2024-04-24 Lei Xu, Peng Shi, Hongshi Wu, Simin Qu, Qiongfang Li, Yiqun Sun, Xiaoqiang Yang, Peng Jiang, Chao Qiu
Accurate forecast of monthly streamflow is helpful to improve the social capability in risk management. Diverse input features are crucial to the accuracy of machine learning-based monthly streamflow forecast models. The embedded feature selection (EFS) method based on binary-coded metaheuristic algorithm is adept at parallel optimization of feature selection and model hyperparameter. It has been rarely
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Advancement in ice-jam flood risk management: Integrating dynamic adaptive behavior by an agent-based modeling in Fort McMurray, Canada J. Hydrol. (IF 6.4) Pub Date : 2024-04-24 Mohammad Ghoreishi, Apurba Das, Karl-Erich Lindenschmidt
Ice-jam flooding is a prevalent extreme event that impacts flood hazard and vulnerability. We introduce a conceptual model framework for Dynamic Ice-jam Flood Risk Assessment (DIFRA). DIFRA integrates ice-jam flood hazard, ice-jam flood risk, and human adaptation. Using agent-based modeling, we captured top-down (artificial breakup) and bottom-up (flood-proofing) adaptive behavior. Our study in Fort
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Optimization of short-term hydropower scheduling with dynamic reservoir capacity based on improved genetic algorithm and parallel computing J. Hydrol. (IF 6.4) Pub Date : 2024-04-23 Rongqi Zhang, Shanghong Zhang, Xiaoxiong Wen, Ziqi Yue, Yang Zhou
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Evapotranspiration of an abandoned grassland in the Italian Alps: Modeling the impact of shrub encroachment J. Hydrol. (IF 6.4) Pub Date : 2024-04-21 Davide Gisolo, Ivan Bevilacqua, Alessio Gentile, Justus van Ramshorst, Davide L. Patono, Claudio Lovisolo, Maurizio Previati, Davide Canone, Stefano Ferraris
This study analyzes the effect of shrub encroachment on actual evapotranspiration (ETa), a still poorly studied phenomenon in the Alps. The effect of shrub encroachment is investigated on an Alpine grassland in Western Italy using both data and a soil hydrological model (Hydrus 1D), which is used to model three different land covers: grassland, shrubland, and a mixture of the two land covers with a
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Transmission characteristics and the factors influencing stable oxygen isotopes in precipitation, soil water, and drip water in Remi Cave, Western Hunan, China J. Hydrol. (IF 6.4) Pub Date : 2024-04-21 Yiping Tian, Yunxia Li, Jiayan Li, Chenxi Yang, Angli Du, Miaofa Li, Xinping Zhang, Lin Zhao, Lidan Liu, Zhiguo Rao
Understanding the modern transport processes of δO between different waters in cave systems can provide a basis for the paleoenvironmental interpretation of records of stalagmite δO. We conducted monthly in-situ monitoring of local precipitation, soil water at three different soil depths, five drip water sites and environmental parameters in Remi cave, Western Hunan Province, Central China, from December
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Deltaic marsh accretion under episodic sediment supply controlled by river regulations and storms: Implications for coastal wetlands restoration in the Yellow River Delta J. Hydrol. (IF 6.4) Pub Date : 2024-04-21 Kemeng Wang, Guoxiang Wu, Bingchen Liang, Benwei Shi, Huajun Li
Sediment supply has long been recognized as a critical factor affecting salt marsh evolutions. Subject to fluctuating river discharges and coastal hydrodynamics, sediment supply to deltaic marshes are episodic rather than continuous. To evaluate the impacts of episodic sediment delivery under river regulations and storm events on deltaic marsh accretion, a 5-month (April 18th to September 4th, 2021)
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Variation in water uptake pattern of the constructive species Pinus koraiensis: Evidence from water stable isotopes J. Hydrol. (IF 6.4) Pub Date : 2024-04-20 Mingming Feng, Zeyu Sun, Shaoqing Zhang, Haiguang Pu, Yingyi Chen, Jin Zhang, Yiqiang Huang, Peng Qi, Guoqiang Shi, Wenjuan Wang, Yuanchun Zou, Wenguang Zhang, Ming Jiang
Plant water uptake plays a crucial role in regulating the water balance for the stability of ecosystems. Previous studies on plant water uptake, focused on arid and semi-arid regions due to water scarcity in these areas, leaving gaps in understanding the strategies and factors affecting plant water uptake in temperate semi-humid regions, where there is a high sensitivity to climate change To assess
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Connecting flow duration curve and precipitation duration curve based on the relationship deduced from machine learning in the watersheds of northern China J. Hydrol. (IF 6.4) Pub Date : 2024-04-20 Lan Ma, Dengfeng Liu, Jinkai Luan, Guanghui Ming, Xianmeng Meng, Qiang Huang
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Machine learning modeling of base flow generation potential: A case study of the combined application of BWM and Fallback bargaining algorithm J. Hydrol. (IF 6.4) Pub Date : 2024-04-19 Ali Nasiri Khiavi
The study of base flow is essential for sustainable water management. By understanding the dynamics of base flow, policymakers can make informed decisions to ensure the long-term health and availability of water resources. This study was conducted with the aim of modeling the spatial changes of Base Flow Generation Potential (BFGP) using integrated Machine Learning Algorithms (MLAs) including Decision
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Reducing the imperviousness of urban soils to enhance the quality of surface water: obstacles and levers to implementing ecological runoff management in the south of France J. Hydrol. (IF 6.4) Pub Date : 2024-04-19 Christelle Gramaglia, Marlène Rio, Christian Salles, Marie-George Tournoud
Urban pavements, which help to maintain clean and secure streets, generate large amounts of runoff that aggravate flooding and degrade the quality of surface water. In the context of ecological and climatic crisis, they also contribute to the creation of heat islands in cities, as well as hindering biodiversity. So greening cities must be encouraged.
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Stormwater runoff characterization and adaptation of best management practices under urbanization and climate change scenarios J. Hydrol. (IF 6.4) Pub Date : 2024-04-19 Sumant Kumar, Rajesh Kumar Vishwakarma, Vinay Kumar Tyagi, Vinod Kumar, A.A. Kazmi, N.C. Ghosh, Salini Sasidharan, P.C. Nayak, N.S. Maurya, Rimsha Hasan, Himanshu Joshi
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A complex network perspective on spatiotemporal propagations of extreme precipitation events in China J. Hydrol. (IF 6.4) Pub Date : 2024-04-19 Xiaodong Li, Tongtiegang Zhao, Jingkun Zhang, Bingyao Zhang, Yu Li
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Improved general unit hydrograph model for dam-break flood hydrograph J. Hydrol. (IF 6.4) Pub Date : 2024-04-19 LiYuan Zhang, WeiLin Xu, FaXing Zhang, WenMing Zhang, WangRu Wei, XiaoLong Zhang
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Coupling model predictive control and rules-based control for real-time control of urban river systems J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Wenwen Feng, Xiaohui Lei, Yunzhong Jiang, Chao Wang, Weihong Liao, Hao Wang, Gong Xinghui, Yu Feng
Model Predictive Control (MPC) has the potential to enhance flood control in urban river systems. However, the computational burden of online optimization hinders the application of MPC to large-scale areas. To address this, we propose a method incorporating both Rules-Based Control (RBC) and MPC based on surrogate models. MPC optimizes the operation of gates and pumping stations in the area of interest
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Groundwater recharge is diffuse in semi-arid African drylands: Evidence from highly instrumented observatories J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 James P.R. Sorensen, Narcisse Z. Gahi, Samuel Guug, Anne Verhoef, Mahamadou Koïta, Wennegouda J.P. Sandwidi, William A. Agyekum, Collins Okrah, W. George Darling, Fabrice M.A. Lawson, Alan M. MacDonald, Jean-Michel Vouillamoz, David M.J. Macdonald
We use two comprehensively instrumented field observatories to understand groundwater recharge processes in African drylands. The observatories are located on crystalline basement geology in semi-arid parts of Ghana and Burkina Faso, aridity indices 0.43 and 0.29, respectively, and we report 2017–2019 observations. Groundwater recharge was quantified by inverse water table fluctuation models using
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Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Marisa M. Earll, Wesley R. Henson, Brian Lockwood, Scott E. Boyce
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A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Hongsheng Wang, Seyyed A. Hosseini, Alexandre M. Tartakovsky, Jianqiao Leng, Ming Fan
Deep learning (DL) models are extensively used as surrogate models for high-fidelity simulations of multiphase fluid flow in porous media at large scales, enabling fast forecasts of the spatial–temporal evolution of three-dimensional (3D) state variables in geological carbon storage (GCS). However, training these models in high-dimensional space remains computationally demanding and prone to overfitting
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Improving a hydrological model by coupling it with an LSTM water use forecasting model J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Mengqi Wu, Pan Liu, Luguang Liu, Kaijie Zou, Xinran Luo, Jing Wang, Qian Xia, Hao Wang
Long short-term memory (LSTM) networks have demonstrated excellent capabilities in identifying nonlinear relationships between variables and have proven to be effective in water use forecast modeling. However, current LSTM water use forecasting models do not consider the influence of regional water resources, which limits their ability to make full use of hydrological data. To address this issue, a
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A parallel porosity model for large-scale modelling of river floods in urban areas J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Alessia Ferrari
With the purpose of modelling at a large-scale river floods affecting urban areas, this work presents a numerical model solving the two-dimensional Shallow Water Equations with porosity. The distribution of buildings within urban fabrics is accounted for by means of a spatially-distributed field of the storage porosity parameter. The finite volume scheme conserves mass and it ensures the well-balancing
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Effects of inter-basin transfers on watershed hydrology and vegetation greening in a large inland river basin J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Lin Wang, Wei Wei, Ge Sun, Bojie Fu, Liding Chen, Xiaoming Feng, Philippe Ciais, Bhaskar Mitra, Lixin Wang
The effects of inter-basin transfers (IBTs) on watershed hydrological balances and associated ecosystem processes remain poorly understood in arid regions because of data scarcity and the complexity of ecosystem responses to water management in many parts of the world. To fill this gap, the objective of this study was to quantify the effect of IBTs on watershed hydrological regimes and the associated
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1.5℃ and 2.0℃ of global warming intensifies the hydrological extremes in China J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Zhangkang Shu, Junliang Jin, Jianyun Zhang, Guoqing Wang, Yanqing Lian, Yanli Liu, Zhenxin Bao, Tiesheng Guan, Ruimin He, Cuishan Liu, Peiran Jing
Global warming has been shown to have a profound impact on hydrological process, especially on hydrological extremes. To avoid the potential risk of extreme hazards, it is essential to project changes in hydroclimatic extremes under the 1.5℃ and 2.0℃ targets of the Paris Agreement, especially in China, which is geographically, climatologically, economically, and socially complex. Here, this study projects
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A hybrid model enhancing streamflow forecasts in paddy land use-dominated catchments with numerical weather prediction model-based meteorological forcings J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Ashrumochan Mohanty, Bhabagrahi Sahoo, Ravindra Vitthal Kale
The development of a streamflow forecasting tool becomes a challenging task due to the sophisticated nonlinear catchment response, varying crop management practices, and limited in situ data availability. For real-time streamflow forecasting with up to 10-days lead-time, this study investigates the potential of SWAT-pothole (PSWAT) module forced with bias-corrected Global Forecasting System (GFS) meteorological
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Impact of revegetation and agricultural intensification on water storage variation in the Yellow River Basin J. Hydrol. (IF 6.4) Pub Date : 2024-04-18 Zijing Wang, Mengzhen Xu, Gopal Penny, Hongchang Hu, Xiangping Zhang, Shimin Tian
The Yellow River Basin (YRB) is experiencing a critical water resource shortage due to climate change and human activities. Thoroughly understanding water resource dynamics under the dual pressures of revegetation and agricultural intensification presents significant challenges. Development of satellite-based observations for vegetation and water storage has greatly facilitated large-scale and high-resolution
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Hydroclimatic non-stationarity drives stream hydrochemistry dynamics through controls on catchment connectivity and water ages J. Hydrol. (IF 6.4) Pub Date : 2024-04-16 J.L. Stevenson, I. Malcolm, D. Tetzlaff, C. Soulsby
We used data from 17 years of routine stream flow sampling to characterise hydrochemical dynamics in the Girnock Burn, an internationally important long-term catchment monitoring site. We combined hydrochemical time series analysis with hydrological modelling to understand short- and long-term dynamics in relation to dominant runoff processes. Isotopic tracer data employed within the model enabled
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Prediction of global water use efficiency and its response to vapor pressure deficit and soil moisture coupling in the 21st century J. Hydrol. (IF 6.4) Pub Date : 2024-04-16 Tiantian Chen, Li Peng, Yuxi Wang
The response of vegetation water use efficiency (WUE) to soil or atmospheric moisture conditions has been widely identified in the past decades, however, the relationships between soil-atmospheric coupling and global vegetation WUE remain unclear under different CO emission scenarios at the end of the 21st century. In this study, we investigated the evolution and characteristics of global soil-atmospheric
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Quantifying sediment sources, pathways, and controls on fluvial transport dynamics on James Ross Island, Antarctica J. Hydrol. (IF 6.4) Pub Date : 2024-04-16 Christopher D. Stringer, John F. Boyle, Filip Hrbáček, Kamil Láska, Ondřej Nedělčev, Jan Kavan, Michaela Kňažková, Jonathan L. Carrivick, Duncan J. Quincey, Daniel Nývlt
Proglacial regions are enlarging across the Antarctic Peninsula as glaciers recede in a warming climate. However, despite the increasing importance of proglacial regions as sediment sources within cold environments, very few studies have considered fluvial sediment dynamics in polar settings and spatio-temporal variability in sediment delivery to the oceans has yet to be unravelled. In this study,
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Loading effect of phreatic level variations induced by river tide on groundwater head fluctuations in tidal river aquifer systems J. Hydrol. (IF 6.4) Pub Date : 2024-04-15 Meng Yao, Shengchao Yu, Hailong Li
The unconfined groundwater level variations caused by the river tide can impact the fluctuation of the groundwater head in the underlying confined aquifer by loading effect. In this study, we proposed a mathematical model and provided an analytical solution for a confined aquifer system considering the loading effect when the aquifer system is eroded by the tidal river to varying extents. The results
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Groundwater flow modelling in Neoproterozoic carbonate karst based on dye tracer pathways J. Hydrol. (IF 6.4) Pub Date : 2024-04-15 Júlia Cotta Maciel Dantas, Rodrigo Sérgio de Paula, Leila Nunes Menegasse Velásquez, Breno Alexandre Pereira
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Compound dry and hot extremes: A review and future research pathways for India J. Hydrol. (IF 6.4) Pub Date : 2024-04-15 Ravi Kumar Guntu, Ankit Agarwal
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Old-Aged groundwater contributes to mountain hillslope hydrologic dynamics J. Hydrol. (IF 6.4) Pub Date : 2024-04-13 Nicholas E. Thiros, Erica R. Siirila-Woodburn, Matthias Sprenger, Kenneth H. Williams, James P. Dennedy-Frank, Rosemary W.H. Carroll, Gardner W.P.
Understanding connectivity between the soil and deeper bedrock groundwater is needed to accurately predict a watershed’s response to perturbation, such as drought. Yet, the bedrock groundwater dynamics in mountainous environments are typically under-constrained and excluded from watershed hydrologic models. Here, we investigate the role of groundwater characterized with decadal and longer water ages