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Multi-element coupling effect of nitrogen cycling in an intensively dam-controlled river system J. Hydrol. (IF 5.9) Pub Date : 2025-01-04
Ziwei Wang, Xiaohong Ruan, Fan Le, Shuai Chen, Tong ChenInland aquatic systems play a crucial role in the global nitrogen (N) cycle. This study focused on the Shaying River Basin, which is characterized by intensive damming, base-flow deficiencies and high N loading. Metagenomics sequencing and molecular ecological network analysis were used to conduct a comparative analysis of N cycling and its coupling effects with carbon (C) and sulfur (S) cycling in
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Improving snowpack chemistry simulations through improved representation of liquid water movement through layered snow and rain-on-snow (ROS) episodes: Application to Svalbard, Norway J. Hydrol. (IF 5.9) Pub Date : 2024-12-31
Diogo Costa, Andrea Spolaor, Elena Barbaro, Juan I. López-Moreno, John W. PomeroyCircumpolar and high-elevation cold regions receive a large portion of their annual precipitation as snowfall, which accumulates in snowpacks that can store many contaminants. The discharge of chemical eluent during snowmelt can alter the chemical composition of local streams and have a detrimental effect on aquatic ecosystems.
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Plastic-lined ponds and eco-aquaculture systems had lower CO2 emissions than earthen aquaculture ponds J. Hydrol. (IF 5.9) Pub Date : 2024-12-29
Min Lv, Zhinan Su, Guanglong Qiu, Kam W. Tang, Yan Hong, Yifei Zhang, Yingyi Chen, Jiafang Huang, Wanyi Zhu, Hong Yang, Ping YangAquaculture contributes to global CO2 emission, but the intensity varies across different aquaculture systems. In this study, we compared the CO2 emission between earthen aquaculture ponds (EAP), plastic-lined ponds (PLAP), and mangrove wetland eco-aquaculture systems (MWEAS) in the coastal region of the Guangxi Province, South China. Results showed that CO2 emissions varied between −27.28 and 12.39 mg
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City scale urban flooding risk assessment using multi-source data and machine learning approach J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Qing Wei, Huijin Zhang, Yongqi Chen, Yifan Xie, Hailong Yin, Zuxin XuWith the frequent occurrence of extreme rainfall and the acceleration of urbanization, the issue of urban flooding worldwide has gained increasing prominence. City scale flooding risk assessment is critical for urban safety and renovation, yet faces challenges such as data complexity, accuracy and interpretability. In this study, a machine learning approach incorporated with multi-source big data was
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Assessment of vegetation vulnerability in floodplain wetlands: A perspective from carryover effect of seasonal growth under various extreme hydrological scenarios J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Ge Hong, Xin Xie, Chuandong Tan, Siyi Liang, Xiujiao Hu, Xuefei WuFloodplain wetlands, which are critical for ecosystem health and human well-being, are increasingly threatened by intensified hydrological variability and extreme hydrological events. However, it remains unclear how floodplain wetlands respond to these hydrological changes. Here, from the perspective of both endogenous and exogenous memory of vegetation, we explored the response of Poyang Lake Wetland
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Accumulation and permeability characteristics of inverse grading deposit in high-speed and long-distance landslide J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Xianze Cui, Yakai Xu, Huahua Zhang, Yong Fan, Guangdong Yang, Shengyong DingEarthquakes and other disasters can lead to the formation of a large number of inverse grading landslide deposits, which can cause secondary disasters such as landslides and debris flows under rainfall conditions. It is of great value to study the accumulation and permeability characteristics of the landslide deposits in order to reduce the risk of piping and slumping. This paper classifies and statistically
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Estimating maize root zone soil moisture by assimilating high spatiotemporal resolution optical and radar remote sensing into the WOFOST-HYDRUS coupled model J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Lei Li, Xiaofeng Li, Xingming Zheng, Hanyu Ju, Xiaojie Li, Tao Jiang, Xiangkun WanRoot zone soil moisture (RZSM) has important applications in agricultural water resource management, drought monitoring and warning. Previous studies primarily assimilated one type of satellite data or data with coarse resolution; therefore, RZSM accuracy estimation by their methods was limited. This study builds a framework to couple crop and hydrology models through daily dynamic parameter transfers
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A first evaluation of satellite soil moisture products over the Central-Western Tibetan Plateau using rain gauge observations J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Cheng Huang, Long Zhao, Yingying Chen, Jinyan Chen, Kun YangSoil moisture plays a key role in regulating water and energy cycle in the Tibetan Plateau, which further impacts regional climate. However, the quality of existing soil moisture products over the central to west TP (CWTP) remains unclear due to the lack of in-situ observations. Using rain gauge data from a recently established rainfall network in the CWTP region and by checking the hydrological consistency
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A review of synchronization of extreme precipitation events in monsoons from complex network perspective J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Kevin K.W. Cheung, Ugur Ozturk, Nishant Malik, Ankit Agarwal, Raghavan Krishnan, Balaji RajagopalanMonsoon precipitation is the critical source of freshwater for some of the world’s most densely populated areas, yet extreme precipitation events in these regions present significant risks, including devastating floods and damage to agriculture and infrastructure. Recent events, such as the severe flooding and landslides during the 2023 North India monsoon and the 2022 Pakistan floods,11For example
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Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields J. Hydrol. (IF 5.9) Pub Date : 2024-12-28
Chuan-An Xia, Hao Wang, Wenbin Jian, Monica Riva, Alberto GuadagniniWe develop a reduced-order modeling strategy aimed at providing numerical Monte Carlo simulations of groundwater flow in randomly heterogeneous transmissivity fields. We rely on moment equations for groundwater flow and conduct space reductions for both transmissivity, T, and hydraulic head, h. A truncated singular value decomposition (SVD) solver is employed to cope with the ill-conditioned stiffness
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Experimental and numerical simulation study on quantitative assessment of LNAPL migration behavior in porous media J. Hydrol. (IF 5.9) Pub Date : 2024-12-27
Chen Yuan, Yuanbo Yin, Xiangning Hu, Xinran Yu, Yuxing LiQualitative analysis of the factors affecting the transport properties of light non-aqueous phase liquid (LNAPL) and prediction of the extent of contamination are significant for identifying source areas and developing treatment strategies. This paper investigates the effects of initial leakage rate, media particle size and heterogeneity on the migration distribution of LNAPL using two-dimensional
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Urban water-carbon pressure simulation and synergistic mitigation model from metabolism network analysis in the Pearl River Delta, China J. Hydrol. (IF 5.9) Pub Date : 2024-12-27
Zhentong Wu, Weijin Pan, Zhiwei Luo, Ling Ji, Yulei Xie, Bingyi WangUrban water-carbon coupled pressure in the course of economic trade poses a potential challenge to regional water scarcity and carbon emission control. In this study, an import–export-water and carbon mitigation simulation model was proposed to explore the mechanisms of trade-driven impacts on regional water-carbon coupled pressure and search the coupled pressure reduction measures. In the model, the
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Understanding the error patterns of multi-satellite precipitation products during the lifecycle of precipitation events for diagnostics and algorithm improvement J. Hydrol. (IF 5.9) Pub Date : 2024-12-27
Runze Li, Clement Guilloteau, Pierre-Emmanuel Kirstetter, Efi Foufoula-GeorgiouSatellite precipitation products are not free of errors. These errors may show specific temporal patterns related to the life cycle of precipitation events. Understanding such patterns is key to uncertainty quantification, product improvements, and hydrologic applications. Here we investigate satellite error patterns during the life cycle of precipitation events over the contiguous United States (CONUS)
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Improving process-based prediction of stream water temperature in SWAT using semi-Lagrangian formulation J. Hydrol. (IF 5.9) Pub Date : 2024-12-26
Nigus Demelash Melaku, Christopher W. Brown, Ahmad A. TavakolyAccurately predicting stream water temperature at large scales requires modeling techniques that account for various physical, chemical, and biological processes that influence water temperature. One common approach is to use process-based hydrodynamic models that simulate water movement throughout a river basin. In this study, we assessed whether enhancing the Soil and Water Assessment Tool (SWAT)
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Rapid 2D hydrodynamic flood modeling using deep learning surrogates J. Hydrol. (IF 5.9) Pub Date : 2024-12-26
Francisco Haces-Garcia, Natalya Ross, Craig L. Glennie, Hanadi S. Rifai, Vedhus Hoskere, Nima EkhtariHydrodynamic flood models improve the hydrologic and hydraulic prediction of storm events. However, the computationally intensive numerical solutions required for 2D hydrodynamics have historically prevented their implementation in rapid modeling (such as flood forecasting or probabilistic modeling). This study examines whether several Deep Neural Network (DNN) architectures are suitable for optimizing
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Cumulative impact of human activities on hydro-sediment dynamics and morphodynamics in the highly altered Yangtze Estuary J. Hydrol. (IF 5.9) Pub Date : 2024-12-26
Xiangju Han, Daidu Fan, Ju Huang, Junbiao Tu, Lingpeng Meng, Shenliang ChenEstuarine dynamics is influenced not only by upstream human activities but also significantly by large-scale estuarine engineering projects (LSEPs). In recent decades, multiple LSEPs have been constructed in the Yangtze Estuary, and the impacts of single project have been well studied, but their cumulative impacts remain elusive. This study investigates Yangtze Estuary morphological changes from 1958
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Contaminant transport through the heterogeneous GCL/SL composite liner: Experimental and analytical studies J. Hydrol. (IF 5.9) Pub Date : 2024-12-26
Yanghui Shi, Haijian Xie, Hao Ding, Liang WangThis paper proposes an analytical solution of two-dimensional mobile-immobile model (MIM) for contaminant transport through a composite liner including a geosynthetic clay liner (GCL) and a soil liner (SL). The effects of the soil heterogeneity and non-uniform contaminant distribution in the leachate on contaminant transport are taken into consideration. A cylindrical tank experiment and a numerical
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A coupled hydrological multimedia model used to simulate PFASs transport and fate in the river network of megacity Shanghai J. Hydrol. (IF 5.9) Pub Date : 2024-12-26
Ye Li, Tianhao He, Jing Yang, Fangfang Ding, Xiaofei Li, Ye Huang, Guoyu Yin, Erkai He, Yan Li, Yuyi Wang, Yushan Li, Yuyan Liu, Dongni Ou, Min LiuPer- and polyfluoroalkyl substances (PFASs), as the “Forever Chemicals”, are ubiquitous in environments, showing serious threaten to ecological safety and human health. Urban river networks are critical systems for PFASs behaviors. However, the mechanisms of discharge and multimedia transports of PFASs remain unclear, which hinder effective management in megacity. In this study, based on the field
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Livestock vulnerability to flooding J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
T. Lazzarin, A. DefinaThis paper investigates the vulnerability of livestock to flooding. A conceptual model is developed to evaluate the toppling and sliding instability of farm animals exposed to floodwaters. Numerical simulations are also employed to assess the drag, lift and contraction coefficients for some animals among the most commonly farmed. Using the results of the above model together with the few information
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Effects of meteorological variability on chemical changes in two hydrologically distinct prairie-pothole wetlands J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Kui Hu, David M. Mushet, Jon N. SweetmanPrairie-pothole wetlands are an important freshwater resource in the Northern Great Plains of North America and play a crucial role in providing vital ecosystem services. Changes in water levels, water stable isotopes, and water chemistry of these wetlands are a function of processes including evaporation, precipitation, groundwater exchange, and surface-water flows. Understanding mechanisms influencing
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A deep learning model coupled with metaheuristic optimization for urban rainfall prediction J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Weiguo Zhao, Zhenxing Zhang, Nima Khodadadi, Liying WangAccurate urban rainfall prediction is crucial for water resource management, flood defense and early warning, and disaster reduction. Leveraging deep learning allows us to establish effective data-driven forecasting models that can facilitate timely flood warnings, optimize water resource allocation, and minimize the impacts of natural disasters such as waterlogging. To address the challenges of urban
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Eco-hydrological recovery following large vegetation disturbances from a mega earthquake on the eastern Tibetan plateau J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Jiehao Zhang, Yulong Zhang, Matthew P. Dannenberg, Qinfeng Guo, Jeff W. Atkins, Wenhong Li, Ge SunCatastrophic earthquakes induce significant, enduring vegetation disturbances through extensive landslides and geomorphological alterations. The post-earthquake vegetation recovery hinges on the disturbance severity, climatic variability, and strategic human intervention, yet understanding of these critical processes and their influences on eco-hydrological functions at the landscape level remains
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A new approach automatically calculating the outlet and upper catchment area of alpine glacial lakes J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Yuhong Wu, Yong Nie, Farooq Ahmed, Changjun Gu, Wen Wang, Huayu Zhang, Qiyuan Lyu, Muchu Lesi, Sihui ZhangThe upper catchment area (UCA) plays a crucial role in hydrology, geomorphology, and glacial lake hazard assessment research. While manual digitization remains the most common method for extracting the UCA in small study areas, it is often labor-intensive and time-consuming. Automated estimation techniques have been utilized at regional scales, but their accuracy remains limited in alpine terrains
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The potential of Sentinel-1 imagery for flood event detection: A satellite vs. hydraulic model comparison J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Jana Breznik, Krištof Oštir, Gašper RakComparing flooded area detection between the hydraulic modelling and Sentinel-1 radar imagery processed by Automatic Detection of Water Bodies (Sentinel-1 ADWB) confirmed that SAR (Synthetic Aperture Radar) imagery shows good potential for improving flood studies. The study was performed in a study area of the Krka River floodplain (Slovenia). The focus was to analyse the overlapping areas between
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Impact analysis of short-term air temperature changes on water transfer scheduling during the ice period of the Middle Route of the South-to-North Water Diversion project J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Mengkai Liu, Zepeng Xu, Guanghua Guan, Xinlei Guo, Minghai Huang, Letian WenAir temperature is an important factor affecting the changes in ice conditions in rivers and canals, and water diversion projects located in high latitudes must consider the safety and efficiency of water transfer in winter. They often adopt the method of reducing water flow to suppress the ice jam risk, but it also causes the temporal and spatial loss of water transfer benefits, aggravating the water
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A deep-learning-based multiobjective optimization for the design of in-situ uranium leaching system under multiple uncertainties J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Wenjie Qiu, Yun Yang, Jian Song, Weimin Que, Zhengbang Liu, Haicheng Weng, Jianfeng Wu, Jichun WuOptimizing a field-scale in-situ leaching (ISL) of uranium system under uncertainty in sandstone reservoirs by simulation–optimization (SO) models is a challenging problem, often referred to as a noisy optimization problem. The practical utility of classic stochastic optimization methods has been limited, particularly when addressing subsurface spatial heterogeneity and sophisticated reactive transport
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Hydrogeochemical analysis and paleo-hydrogeological modeling of shallow groundwater salinization processes in North China Plain J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Yihong Huang, Jie Yang, Xuan Yu, Shijie Wang, Xianjun Xie, Junxia Li, Yanxin WangCoastal groundwater salinization induced by marine transgression, sea level rising, and/or seawater intrusion due to anthropogenic activities has been a challenge for water security worldwide. Understanding of the spatial distribution of saline water and its sources is important for the protection of fresh groundwater resources from salinization necessitates. In this study, the processes of groundwater
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A new framework to assess and optimize urban flood resilience with green-grey-blue system J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Dingkun Yin, Xiaoyue Zhang, Haifeng Jia, Lili Xu, Qimeng Jia, Ye YangThe vulnerability of cities to flood has become a global issue due to urbanization. Although various studies have been evaluated urban flood resilience using various indicators, a comprehensive flood resilience assessment method considering the entire process of stormwater runoff production and concentration remains a gap. To cope with this issue, a three-step new framework integrating index system
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Quantifying the contributions of hydrological pre-processor, post-processor, and data assimilator to ensemble streamflow prediction skill J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Jiapeng Zhang, Wentao Li, Qingyun DuanThe data assimilator, pre-processor, and post-processor in the ensemble hydrological prediction system (EHPS) are designed to handle uncertainties related to initial hydrological conditions, meteorological inputs, and hydrological predictions, respectively. They play distinct roles in the forecasting chain and may complement each other, but the interaction among them has not been well understood so
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IberSWMM+: A high-performance computing solver for 2D-1D pluvial flood modelling in urban environments J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
E. Sañudo, O. García-Feal, L. Hagen, L. Cea, J. Puertas, C. Montalvo, R. Alvarado-Vicencio, J. HofmannUrban drainage modelling is essential for effective city planning and flood management. The increasing complexity of urban environments and the growing availability of high-resolution data have led to the need to develop more sophisticated and freely accessible urban drainage models. This paper presents the parallel implementation of Iber-SWMM, a freely distributed integrated 2D/1D urban drainage model
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Multi-timescale short-term urban water demand forecasting based on an improved PatchTST model J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Peijie Lin, Xiangxin Zhang, Longcong Gong, Jingwei Lin, Jie Zhang, Shuying ChengShort-term water demand forecasting is essential for ensuring the sustainable use of water resources. The accuracy of water demand forecasting directly impacts the rationality of water resources management and the effectiveness of scheduling. Therefore, it is vital to accurately forecast water demand across various timescales. Based on this motivation, we propose an improved patch time series Transformer
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Assessing geological structure uncertainties in groundwater models using transition probability-based realizations J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Shiqi Huang, Litang Hu, Binghua Li, Xia Wu, Lin Gan, Jianchong Sun, Menglin ZhangThe accuracy of groundwater flow simulations is heavily influenced by the geological structure model. Relying on a single deterministic model does not effectively address the inherent uncertainties. This study integrates deterministic hydrogeological frameworks with stochastic geological simulations using Transition Probability Geostatistical Simulation (T-PROGS) to enhance the simulation of hydrogeological
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The impact of complex terrain on urban flood resilience under extreme rainfall events J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Yanfen Geng, Xiao Huang, Yingmeng Zhong, Zhili WangIn the context of ongoing climate change and extreme rainfall events, urban flooding has become a global challenge. The layout of urban buildings is recognized as a crucial factor influencing flooding. The ability of a city to respond promptly and recover quickly from floods is referred as ’urban flood resilience’. To deepen our understanding of this issue, urban flooding simulation and resilience
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Freezing induced soil water redistribution: A review and global meta-analysis J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Xiaobin Li, Xiaoyu Chen, Yanchen Gao, Jiahui Yang, Weiting Ding, Francis Zvomuya, Nasrin Azad, Jinbo Li, Hailong HeOver 75 % of the terrestrial territory in the Northern Hemisphere is subjected to seasonally freezing and thawing cycles. The naturally occurred soil freezing processes induce the migration of soil water from unfrozen underlying depths towards the freezing front under gradients of matric potential, temperature and vapor concentration/pressure. The upward moving soil water and vapor change to ice near
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Trends and meteorological drivers of extreme daily reservoir evaporation events in the western United States J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Bingjie Zhao, Shih-Chieh Kao, Christopher Pearson, Kathleen D. Holman, Justin Huntington, George H. Allen, Anshul Yadav, Manqing Shao, Huilin GaoExtreme daily evaporation from reservoir surfaces can lead to significant short-term water losses, affecting water quality, water supply, and reservoir operation strategies. Historical trends in daily reservoir evaporation events have eluded the scientific and operational communities, largely due to a lack of long-term, consistent data record. This study quantifies trends in extreme daily reservoir
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Atmospheric rivers and Australian precipitation: Impact of detection algorithm choice J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Sucheta Pradhan, Conrad Wasko, Murray C PeelAtmospheric Rivers (ARs) play a pivotal role in precipitation dynamics, often leading to hazardous flood events. While much research has investigated the relationship between ARs and precipitation in the northern hemisphere, the role of ARs in modulating Australia’s precipitation has received little attention. The ambiguity surrounding AR definition and identification criteria has resulted in the emergence
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Multiscale analysis of existing actual evapotranspiration products over agropastoral Sahel J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Jordi Etchanchu, Jérôme Demarty, Alain Dezetter, Nesrine Farhani, Pape Biteye Thiam, Aubin Allies, Ansoumana Bodian, Gilles Boulet, Nanée Chahinian, Lamine Diop, Ibrahim Mainassara, Pape Malick Ndiaye, Chloé Ollivier, Albert Olioso, Olivier RoupsardUnderstanding the spatiotemporal variability of actual evapotranspiration (ET) is a critical issue for better water resources management from plot to basin scale. It is particularly true in the Sahelian region which is very vulnerable in terms of water and agricultural resources, but also very scarcely monitored. This study aims to improve understanding of ET in Sahelian agrosystems by comparing twenty
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Multi-objective optimization scheduling for extensive plain lake water resources incorporating flood resource utilization J. Hydrol. (IF 5.9) Pub Date : 2024-12-25
Yalei Han, Zengchuan Dong, Can Cui, Tianyan Zhang, Yun LuoPlain lakes are crucial water sources for regional development, but increasing hydrological changes and intensified human activities have exacerbated conflicts among their functions. This study focuses on Hongze Lake, significantly impacted by the South-to-North Water Diversion East Line Project, which elevated water levels and substantially altered regional water resource utilization, while flood
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A discrete fracture model for coupled simulation of water flow and electrical current in fractured vadose zone J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Behshad Koohbor, Pierre Fischer, Marwan Fahs, Abderrahim Jardani, Anis Younes, Hervé JourdeFractures and conduits in the vadose zone can significantly affect the groundwater-surface runoff interaction. Electrical geophysical methods have the potential to provide important information regarding saturation evolution in the fractured vadose zone in the field. Integrating numerical models with the field data can improve the interpretation of the field electrical measurements. In this study we
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Suspended sediment dynamics at the inlets of Venice Lagoon: Unraveling the effects of storm surges and mobile barrier operations J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Gian Marco Scarpa, Silvio Davison, Giorgia Manfè, Giuliano Lorenzetti, Luca Zaggia, Federica BragaThis study investigates the effects of flow regulation by the floodgate system (MoSE: Electromechanical Experimental Module) on sediment and water exchanges between the Venice Lagoon and the Adriatic Sea, during two significant storm surges in 2022 and 2023. An integrated observation system, which combines satellite-derived products and data from in-situ instrumental networks, was implemented at the
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Construction and performance of infiltration galleries (skimming wells): A review of applications to Pacific atoll islands J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Amir Jazayeri, Adrian D. WernerThe method of extracting fresh groundwater in many Pacific islands, particularly atolls, often involves the installation of horizontal or inclined perforated pipes, connected to an extraction well/sump containing a pump. These “infiltration galleries” (or skimming wells) skim fresh groundwater from shallow depths while minimizing saltwater upconing beneath thin freshwater lenses, which are typically
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Exploring the utility of GRACE measurements for characterizing karst systems at a continental scale J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Chibuike Orazulike, Julian Xanke, Andreas Hartmann, Zhao ChenGroundwater storage in the Euro-Mediterranean karst region has been detected to be decreasing across approximately 60–80% of its area, yet only a few studies have attempted to quantify this phenomenon. This study conducts a spatio-temporal characterization of karst aquifer dynamics on a continental scale using Gravity Recovery and Climate Experiment (GRACE) measurements. The groundwater storage anomaly
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Estimating groundwater discharge in the dam-affected rivers using 222Rn J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Linlin Kong, Fu Liao, Peijie Yang, Guangcai Wang, Hanxiao Wang, Shengda Ding, Zhihao Wang, Huyang Ai, Pengpeng Zhou, Zheming ShiAccurate groundwater discharge estimations have significant impact on river water quality and ecology. An increasing number of dams are being built on rivers, altering river morphologies and potentially affecting groundwater discharges. However, there is little known regarding about the impact of dams on groundwater discharge estimations in rivers. In this study, the 222Rn mass balance model, which
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Comprehensive study of heavy precipitation events over land using climate network analysis J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Kaiwen Li, Ming Wang, Kai Liu, Jingfang FanHeavy precipitation and its derived disasters have a serious consequence on socioeconomic development. Understanding the spatiotemporal variation in heavy precipitation events (HPEs), the driving factors, and the possible mechanisms that trigger spatial teleconnections between HPEs is helpful in predicting and preventing heavy precipitation-related disasters. Here, the spatial distribution and temporal
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Improving evaporation estimations over hypersaline water bodies using a factor based on total dissolved solids J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Hadi Khaleghi, Majid Rahimzadegan, Ramin GhahremanEvaporation plays a key role in the water balance of hypersaline lakes, where high Total Dissolved Solids (TDS) concentrations considerably impact evaporation rates. In this study, a novel Evaporation Factor based on TDS (EF-TDS) was introduced to improve evaporation estimates from hypersaline water bodies. Lake Urmia, one of the world’s largest hypersaline lakes, located in northwestern Iran, was
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Unlocking geothermal energy by repurposing abandoned wells as enhanced geothermal systems for sustainable heat production: A numerical investigation J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Xincheng Hu, Jonathan Banks, Yunting Guo, Wei Victor LiuDeep borehole heat exchangers (DBHEs) have garnered significant interest due to its potential to reduce costs and repurpose existing infrastructure in extracting geothermal energy from abandoned wells. However, their effectiveness is significantly constrained by the production temperature plummet and the limited power, leading to unsustainable heat production and restricting the practical applications
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Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D solute transport in fluid–particle systems with complex granular morphologies J. Hydrol. (IF 5.9) Pub Date : 2024-12-24
Yifeng Zhao, Pei Zhang, Stan Z. Li, S.A. Galindo-TorresSolute transport in fluid–particle systems is a fundamental process in numerous scientific and engineering disciplines. Simulating this process necessitates the consideration of solid particles with intricate morphologies. To address this challenge, this study proposes the Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method (RW-MI-DELBM). In this model, we reconstruct particle geometries
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Associations between deep learning runoff predictions and hydrogeological conditions in Australia J. Hydrol. (IF 5.9) Pub Date : 2024-12-21
Stephanie R. Clark, Jasmine B.D. JaffrésTo capture the complexity of hydrological systems across regions, multidimensional domain knowledge (e.g. climate, soils, geology and topography) can be incorporated into deep learning models of streamflow behaviour. Such integration has demonstrated notable improvements in streamflow predictions, thereby enhancing accuracy and offering valuable insights for sustainable water resource management. However
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A novel physical process-ensemble learning model framework with residual error decomposition to upskill daily runoff prediction J. Hydrol. (IF 5.9) Pub Date : 2024-12-21
Yan Kang, Yue Xiang, Zishang Zhang, Ruyi Wan, Wanxue Li, Shuo Zhang, Lingjie Li, Songbai SongAccurate and reliable daily runoff prediction plays a crucial role in water resources management. Physical-based hydrological models generally perform unsatisfactory in semi-arid areas. Current studies have attempted to utilize data-driven learning method to correct the residual errors of physical models. However, the highly non-stationarity of residual series is ignored in the conventional approach
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Hydrodynamic disturbance and nutrient accumulation co-shape the depth-dependent prokaryotic community assembly in intertidal sediments of a mountainous river estuary J. Hydrol. (IF 5.9) Pub Date : 2024-12-20
Yi Li, Jiaying Chen, Longfei Wang, Dawei Wang, Lihua Niu, Jinhai ZhengIntense tidal uplift and accumulation of multiple nutrients are defining characteristics of estuaries, especially for those in mountainous rivers. Though previous contributions have been conducted to explore the microbial community structure in estuarine sediments, the responses of prokaryotic communities to hydrodynamic disturbances and nutrient accumulation, as well as the depth-dependent assembly
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Balancing ecosystem sustainability and irrigated smallholder agriculture: A modeling approach for water resource management J. Hydrol. (IF 5.9) Pub Date : 2024-12-20
Cory Whitney, Gordon O’Brien, Vuyisile Dlamini, Ikhothatseng Jacob Greffiths, Chris Dickens, Eike LuedelingImplementing environmental flows (e-flows) is crucial for protecting river ecosystems but often competes with water needs for small-scale agriculture. Understanding these trade-offs is essential for effective water management. We employ holistic modeling to explore the socioecological impacts of e-flows on agriculture along the lower Great Letaba River. Our approach uses conceptual impact pathways
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Evaluating the applicability of the generalized power-law rating curve model: With applications to paired discharge-stage data from Iceland, Sweden, and the United States J. Hydrol. (IF 5.9) Pub Date : 2024-12-20
Rafael Daníel Vias, Birgir Hrafnkelsson, Timothy O. Hodson, Sölvi Rögnvaldsson, Axel Örn Jansson, Sigurdur M. GardarssonHydrologic research and operations make extensive use of streamflow time series. In most applications, these time series are estimated from rating curves, which relate flow to some easy-to-measure surrogate, typically stage. The conventional stage-discharge rating takes the form of a segmented power law, with one segment for each hydrologic control at the stream gauge. However, these ratings are difficult
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The mechanism of surface cover influences the sediment transport capacity J. Hydrol. (IF 5.9) Pub Date : 2024-12-20
Kai Zhang, Ning Li, Suhua Fu, Hongli Mu, Bingjun LuSurface cover can effectively prevent soil erosion, serving as one of the essential soil and water conservation measures. Accurately estimating the sediment transport capacity is critical to developing soil erosion models. However, current research on the mechanism of the effect of surface cover on the sediment transport capacity is still inadequate. Therefore, the flume experiments were conducted
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Causal Loop Diagrams for bridging the gap between Water-Energy-Food-Ecosystem Nexus thinking and Nexus doing: Evidence from two case studies J. Hydrol. (IF 5.9) Pub Date : 2024-12-20
Raffaele Giordano, Anna Osann, Esteban Henao, Maria Llanos López, José González Piqueras, Nikolaos P. Nikolaidis, Maria Lilli, Virginia Rosa Coletta, Alessandro PaganoThe concept of Nexus management is gaining increasing attention in the scientific community as it emphasizes the mutual interdependencies among different sectors (typically Water, Energy, Food and Ecosystems − WEFE), overcoming the ‘silo’ approach that usually characterizes the management of natural resources along with a rather water-centered perspective. Supporting a comprehensive understanding of
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Model test study on morphology evolution and hydrologic response of dispersive soil fill slope under multiple rainfall regime J. Hydrol. (IF 5.9) Pub Date : 2024-12-19
Yan Han, Qing Wang, Xinghua Li, Jing LiuDispersive soils are susceptible to rapid disintegration upon contact with water and have been implicated in engineering slope failures. However, a refined characterization of their response to rainfall remains insufficient. In this study, we investigated the evolution, peculiarity, and mechanisms of hydraulic failure in dispersive soil under artificial rainfall events conducted in a laboratory setting
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Combining graph neural network and convolutional LSTM network for multistep soil moisture spatiotemporal prediction J. Hydrol. (IF 5.9) Pub Date : 2024-12-19
Ziwei Pan, Lei Xu, Nengcheng ChenSoil moisture (SM) is a crucial land surface variable that links cyclic processes between the land surface and the atmosphere. Accurate SM prediction holds great significance for agricultural production, drought assessment, and global climate forecasting. However, the complex geographical and environmental factors lead to intricate variations and an irregular distribution of SM. Most of the existing
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Estimating virtual water content and yield of wheat using machine learning tools J. Hydrol. (IF 5.9) Pub Date : 2024-12-19
Abdullah Muratoglu, Muhammed Sungur Demir, Mete Yaganoglu, Ilker AnginThe global escalation of water demand has led to significant depletion of water resources, making virtual water content (VWC) and yield assessment crucial for agricultural water management. Traditional calculations heavily rely on pre-determined crop coefficient (Kc) values and extensive datasets, presenting three major challenges: limited data availability in many regions, inaccurate reflection of
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Interpretation of glacier mass change within the Upper Yukon Watershed from GRACE using Explainable Automated Machine Learning Algorithms J. Hydrol. (IF 5.9) Pub Date : 2024-12-19
Cheick Doumbia, Alain N. Rousseau, Hakan Başağaoğlu, Michel Baraer, Debaditya ChakrabortyGlaciers play a vital role in providing water resources for drinking, agriculture, and hydro-electricity in many mountainous regions. As global warming progresses, accurately reconstructing long-term glacier mass changes and comprehending their intricate dynamic relationships with environmental variables are imperative for sustaining livelihoods in these regions. This paper presents the use of eXplainable
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Measuring Off-nadir river water levels and slopes from altimeter Fully-Focused SAR mode J. Hydrol. (IF 5.9) Pub Date : 2024-12-19
Jiaming Chen, Luciana Fenoglio, Jürgen KuscheObservations of river water levels from nadir radar altimeters are currently limited by orbital spacing and by the winding nature of rivers, making them inadequate for monitoring the spatial–temporal dynamics of rivers. In this study, we developed an automatic off-nadir processing method to estimate water surface elevation and river slope in cross-track direction using Sentinel-3A/-3B and Sentinel-6A
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Enhanced identification of hot spots of soil moisture variations across a headwater catchment J. Hydrol. (IF 5.9) Pub Date : 2024-12-19
Yanjia Jiang, Yaling Zhang, Xiao Tan, Qing Zhu, Jinzhao Liu, Hu Liu, Yan Liu, Carlos R. Mello, Li GuoHot spots of soil moisture variations (HSSM) within a catchment are areas exhibiting significant fluctuations in soil moisture, which critically influence soil moisture organization, soil re-oxygenation, and soil carbon export. However, current methods for identifying HSSM have been inefficient under decreasing soil moisture conditions and remain unvalidated in complex terrains. This study introduces