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Quick large-scale spatiotemporal flood inundation computation using integrated Encoder-Decoder LSTM with time distributed spatial output models J. Hydrol. (IF 6.4) Pub Date : 2024-03-15 Guozhen Wei, Wei Xia, Bin He, Christine Shoemaker
Accurate spatiotemporal flood simulations are essential for making informed decisions regarding flood release in affected regions, such as flood detention areas. Traditional spatiotemporal flood simulation approach uses partial differential equation (PDE) models (or physics-based models), which need high computational time. Although many Machine learning (ML) models for inundation are increasingly
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Hydrological model skills change with drought severity; insights from multi-variable evaluation J. Hydrol. (IF 6.4) Pub Date : 2024-03-15 Giulia Bruno, Francesco Avanzi, Lorenzo Alfieri, Andrea Libertino, Simone Gabellani, Doris Duethmann
Hydrological models often do not properly simulate streamflow () during extreme events, including droughts. Limited abilities in simulating during droughts may arise from a misrepresentation of generating processes during these periods, but little research has focused on distributed, process-based models over human-affected areas and extreme events. To shed more light into model consistency during
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Infrastructural lock-ins in the temporal and spatial development of a long-distance water transfer in Germany J. Hydrol. (IF 6.4) Pub Date : 2024-03-14 David Kuhn, Robert Luetkemeier, Fanny Frick-Trzebitzky, Linda Söller, Kristiane Fehrs
Germany plans to expand water transfers over long distances in the light of numerous and pressing challenges for drinking water supply. Research on inter- and intrabasin water transfers warns, however, that major investments in large-scale infrastructure systems accompanied by institutional logics and political interests often lead to a so-called lock-in. As a consequence, long-distance water transfers
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Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization J. Hydrol. (IF 6.4) Pub Date : 2024-03-14 Chuan-An Xia, Jiayun Li, Monica Riva, Xiaodong Luo, Alberto Guadagnini
Localization is critical to the effective use of an (iterative) ensemble Kalman filter or ensemble smoother to estimate uncertain quantities of interest. Here, we propose a novel, fully adaptive, correlation-based localization method (termed FBadap). We embed our FBadap approach within an iterative ensemble smoother to estimate three-dimensional spatially heterogeneous log-conductivity () fields. The
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Prediction of movable bed resistance in open channels with dune forms incorporating the effects of flow separation and water temperature J. Hydrol. (IF 6.4) Pub Date : 2024-03-13 Junzheng Liu, Jinliang Zhang, Zhe Huang, Haijue Xu, Yuchuan Bai, Yanxin Wang
Flow separation behind the dune forms may have reduced the contact area between the flows and the bed surface, in addition to producing form drag in open channels. In this study, a novel predictor is developed based on the underlying mechanism of movable bed resistance across a dune-dominated bed. The mechanism is derived to a new formula based on the energy loss division approach to generalize the
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Coupled heat and water transfer in heterogeneous and deformable soils: Numerical model using mixed finite element method J. Hydrol. (IF 6.4) Pub Date : 2024-03-13 Zhuangji Wang, Dennis Timlin, Gang Liu, David Fleisher, Wenguang Sun, Sahila Beegum, Joshua Heitman, Tusheng Ren, Yan Chen, Vangimalla R. Reddy, Katherine Tully, Robert Horton
We present a generic model framework for coupled heat and water transfer (CHWT) in deformable (non-rigid) soils with spatial variations of soil properties. The model backbone is a mixed finite element method (FEM), which solves the CHWT model and achieves conservation of mass and energy on both local and global scales. Spatial variations occur in soil hydraulic and thermal properties due to transient
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Salt dynamic changes between seawater and phreatic brine in muddy tidal flats under tidal influence J. Hydrol. (IF 6.4) Pub Date : 2024-03-12 Yufeng Zhang, Xiaoteng Xiao, Zengbing Sun, Bingxiao Lei, Mingbo Li, Xiujun Guo, Tengfei Fu, Cheng Xing
Evaporated salt accumulated on the surface of tidal flats is an important source of salt for supplying coastal phreatic brine resources. A clear understanding of the flux and process of evaporated salt recharge the shallow underground brine under tidal influence is a prerequisite for promoting the orderly development of coastal underground brine resources. This study established an in-situ numerical
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Numerical impact of variable volumes of Monte Carlo simulations of heterogeneous conductivity fields in groundwater flow models J. Hydrol. (IF 6.4) Pub Date : 2024-03-12 Massimiliano Schiavo
The knowledge of aquifer systems, their geological setting, their structure, and subsequent modeling is highly uncertain and is usually faced through Monte Carlo-based methods in hydrogeology. One of the most important uncertainty sources for groundwater models is represented by input hydraulic conductivities, related to the aquifer’s structure. There are no specific rules when simulating hydraulic
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Advancing objective functions in hydrological modelling: Integrating knowable moments for improved simulation accuracy J. Hydrol. (IF 6.4) Pub Date : 2024-03-12 Alonso Pizarro, Joaquín Jorquera
Runoff prediction is a crucial aspect of water resource management and risk mitigation. Despite hydrological modelling plays a vital role in accurately representing catchment behaviour, calibration still poses a significant challenge. This study explores the use of knowable moments (KMoments), a category of high-order statistical moments, as part of the core of objective functions in hydrological model
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Human interventions alter morphodynamics of meandering channels: Insights from decadal to pre-industrial observations in the Yangtze River J. Hydrol. (IF 6.4) Pub Date : 2024-03-12 Xuhai Yang, Yong Hu, Zhaohua Sun, Yitian Li, Haibin Xiong, Dongfeng Li
Human activities, such as reservoir construction and bank revetment, significantly alter downstream flow and sediment regimes and river channel changes, impacting river ecosystem services. However, our understanding of how intense human activities affect morphodynamics of meandering channels in big river systems remains incomplete due to the lack of high-resolution in-situ data. Here, we use comprehensive
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Surface and subsurface flow of a glacierised catchment in the cold-arid region of Ladakh, Trans-Himalaya J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Mohd Soheb, Peter Bastian, Susanne Schmidt, Shaktiman Singh, Himanshu Kaushik, Alagappan Ramanathan, Marcus Nüsser
Hydrological assessments of high-altitude catchments in Trans-Himalayan Ladakh are necessary for a better understanding of water availability in the context of irrigated cultivation under conditions of insufficient quantitative information on cryospheric meltwater discharge. In this study, an integrated spatially distributed temperature index model and a coupled surface/subsurface flow model were used
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Effect of rainfall characteristics on the transport of trace metals in suspended particles during rainfall events J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Emanoelle Pereira da Silva, Tomás Rosa Simões, Nelson Roberto Antoniosi Filho, Julião Pereira, Klebber Teodomiro Martins Formiga
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Multiple isotopes reveal the impact of land use change on nitrate transport and transformation in deep loess deposits J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Wangjia Ji, Yidi Liu, Jiaxin Wang, Gurpal S. Toor, Xiaoling He, Zhi Li
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Modeling hydraulic conductivity function of frozen soil J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Xiao-kang Li, Xu Li, Xiang-sheng Chen, Run-ze Tian, Shuang-fei Zheng
Hydraulic conductivity function for frozen soils (HCFF) is crucial for accurately simulating the water transfer process in cold regions, impacting hydrological states and frost heave diseases. However, the absence of HCFF model capturing the relation between hydraulic conductivity and unfrozen water content () or temperature () has significantly impeded the numerical calculation of freezing seepage
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Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Abbas Parsaie, Redvan Ghasemlounia, Amin Gharehbaghi, AmirHamzeh Haghiabi, Aaron Anil Chadee, Mohammad Rashki Ghale Nou
A high-accuracy estimation of the runoff has always been an extremely relevant and challenging subject in hydrology science.Therefore, in the current research, a novel hybrid decomposition-integration-optimization based model is developed to enhance the estimation precision of the runoff. The suggested predictive model is a combination of successive variational mode decomposition (SVMD) technique and
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Confined aquifer dewatering optimization with a modified simulation–optimization method capable of determining the optimal well screen length and depth J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Yanxiao Sun, Songyu Liu, Chaozhe Zhang, Wen Chen, Xinyuan Zhang, Xiaoqiong Wang, Shilong Li, Liyuan Tong
Simulation-optimization methods are widely used in dewatering optimization. However, traditional simulation–optimization methods do not address the optimization of well screen length and depth. This study proposes a modified simulation–optimization method for confined aquifer dewatering optimization, which is capable of determining the optimal screen length and depth. The proposed method is based on
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Convolution, deconvolution, the unit hydrograph and flood routing J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 John D. Fenton
Convolution equations are used to relate the input and the output of a system such as rainfall and runoff, or inflow and outflow of a river reach. There have been numerous reports of unsatisfactory results from the deconvolution necessary to calculate the connecting transfer function. The cause is that the equations are ill-conditioned, and it is shown here that the fundamental theoretical solution
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Sediment sorting and transport mechanism controlled by both soil properties and hydraulic parameters on hillslopes J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Ya Liu, Gang Liu, Hai Xiao, Xiaolin Xia, Qiong Zhang, Zongjiang Zhou, Hairu Li, Fenli Zheng, Zhen Guo, Dandan Liu
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Response of blue-green water to climate and vegetation changes in the water source region of China's South-North water Diversion Project J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Xiaoyang Li, Lei Zou, Jun Xia, Liping Zhang, Feiyu Wang, Minxin Li
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Spatiotemporal pattern of successive hydro-hazards and the influence of low-frequency variability modes over Canada J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Melika RahimiMovaghar, Mohammad Fereshtehpour, Mohammad Reza Najafi
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What drives uncertainty surrounding riverine flood risks? J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Iman Hosseini-Shakib, Atieh Alipour, Benjamin Seiyon Lee, Vivek Srikrishnan, Robert E. Nicholas, Klaus Keller, Sanjib Sharma
Designing strategies to manage flood risks is complicated by the often large uncertainties surrounding flood risk projections. Uncertainty surrounding riverine flood risks can stem from choices regarding boundary and initial conditions, model structures, and parameters as well as interactions among hazards, exposures, and vulnerabilities. Here we analyze a case study to rank the drivers of uncertainties
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Regional scale evaluation of nitrate fluctuations in groundwater using cluster analysis and standardised hydrometeorological indices J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 M.J. Ascott, D.C. Gooddy, B. Marchant, N. Kieboom, H. Bray, S. Gomes
Temporal fluctuations in nitrate in groundwater can result in concentrations temporarily exceeding drinking water standards. This can bring about the need for costly water treatment or blending. Despite this, the extent and potential controls on these fluctuations are poorly understood, particularly at regional to national scales. Applied to Southeast England (UK), here we develop the first application
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A novel land surface temperature reconstruction method and its application for downscaling surface soil moisture with machine learning J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Onur Güngör Şahin, Orhan Gündüz
Downscaling of soil moisture data is important for high resolution hydrological modeling. Most downscaling studies in the literature have used spatially discontinuous land surface temperature (LST) maps as the main auxiliary parameter, which limits the creation of continuous soil moisture maps. The number of studies on soil moisture downscaling with machine learning that use gapless LST maps is limited
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Exploring the food-energy-water nexus in coupled natural-human systems under climate change with a fully integrated agent-based modeling framework J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Jiaorui Zhang, Y.C. Ethan Yang, Guta W. Abeshu, Hongyi Li, Fengwei Hung, Chung-Yi Lin, L. Ruby Leung
Managing water resources to meet increasing energy and food demands while maintaining environmental sustainability under climate change is a major challenge, especially when this nexus occurred in a coupled natural–human system (CNHS), where heterogeneous human activities affect the natural hydrologic cycle and vice versa. The relevant research has been limited by the lack of models that can effectively
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Insight into glacio-hydrologicalprocesses using explainable machine-learning (XAI) models J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Huiqing Hao, Yonghong Hao, Zhongqin Li, Cuiting Qi, Qi Wang, Ming Zhang, Yan Liu, Qi Liu, Tian-Chyi Jim Yeh
The glacio-hydrological process is essential in the global water cycle but is complex and poorly understood. In this study, we couple the deep Shapley additive explanation (SHAP) with a long short-term memory (LSTM) model to construct a machine-learning (XAI) framework that describes the glacio-hydrological process in Urumqi Glacier No. 1, China. The XAI framework reveals 1) the dominant hydro-meteorological
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A novel efficient and robust treatment of the friction source term in 2D shallow water inundation models J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Giada Varra, Veronica Pepe, Renata Della Morte, Luca Cozzolino
The technological advancements of the last few decades have fostered the use of two-dimensional (2D) Shallow water Equations (SWE) flood simulations not only in academic research but also in practical real-world applications and territorial planning. The evaluation of flow resistance due to friction is crucial as it plays a relevant role in a variety of flow conditions. However, problems arise in dam-break
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Allocation of reservoirs sites for runoff management towards sustainable water resources: Case study of Harirud River Basin, Afghanistan J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Ziaul Haq Doost, Zaher Mundher Yaseen
The intensification of drought conditions in arid and semi-arid regions coupled with the growing population increased water demands (domestic, and irrigation). It signifies the importance of addressing the pressing need for sustainable water resource management. Seventeen criteria spanning topographical, hydrological, geological, environmental, and socio-economic categories, were used for dam site
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A new 2D ESPH bedload sediment transport model for rapidly varied flows over mobile beds J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Kao-Hua Chang, Yu-Ting Wu, Chia-Ho Wang, Tsang-Jung Chang
A 2D Eulerian meshless bedload sediment transport model is developed using smoothed particle hydrodynamics (SPH) to simulate rapidly varied flows over mobile beds. In the developed model, we adopt a weakly coupled numerical approach to explicitly solve the governing equations, including 2D shallow water equations for fluid flow motion and the Exner equation for bed sediment movement at the same time
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Numerical estimation of the equivalent hydraulic conductivity for canal concrete lining with cracks J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Xudong Han, Yan Zhu, Xiugui Wang, Ming Ye, Jiesheng Huang
The equivalent saturated hydraulic conductivity of concrete lining () is a key parameter to estimate seepage loss, while few studies have quantified the effect of cracks on , potentially leading to significant errors in canal seepage estimation. A three-dimensional numerical model is employed to simulate seepage loss from canals lined with concrete, and then to obtain the value of by an equivalent
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Stepwise clustering ensemble downscaling for future drought prediction under climate change: A case study of the Yangtze River Basin J. Hydrol. (IF 6.4) Pub Date : 2024-03-11 Jiachen Liu, Guohe Huang, Tangnyu Song, Shuguang Wang, Yongping Li
Drought is a highly destructive natural disaster that can even lead to other complex and volatile extreme weather events in the Yangtze River Basin (YRB). Researching potential changes in future drought occurrences is crucial for developing effective climate change adaptation strategies under a warming climate. In this study, a stepwise clustered ensemble drought downscaling (SCEDD) model has been
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Urban pluvial flood modelling in the absence of sewer drainage network data: A physics-based approach J. Hydrol. (IF 6.4) Pub Date : 2024-03-10 C. Montalvo, J.D. Reyes-Silva, E. Sañudo, L. Cea, J. Puertas
1D/2D dual drainage models have become one of the most useful tools in the study of urban pluvial floods. However, such models require information about the sewer network that is not always readily available. In this study we present a physics-based approach for assessing urban pluvial floods, with the aim of overcoming the common situation of having limited information on the sewer system. The method
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Analysis of seepage failure probability for high core rockfill dams during rapid drawdown of reservoir water level J. Hydrol. (IF 6.4) Pub Date : 2024-03-10 Zhenyu Wu, Chen Chen, Yanhao Zheng, Jiankang Chen, Kang Bian, Junru Li
Rapid drawdown (RDD) is an abnormal reservoir flood control operation that may cause seepage failure of high core rockfill dams. In this paper, a novel framework combining Bayesian inference and transient unsaturated seepage simulation is proposed to evaluate the seepage failure probability of the core during RDD. The dynamic hydraulic boundaries utilized in the simulation are first determined by the
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How accurate are the machine learning models in improving monthly rainfall prediction in hyper arid environment? J. Hydrol. (IF 6.4) Pub Date : 2024-03-10 Faisal Baig, Luqman Ali, Muhammad Abrar Faiz, Haonan Chen, Mohsen Sherif
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Urban inundation rapid prediction method based on multi-machine learning algorithm and rain pattern analysis J. Hydrol. (IF 6.4) Pub Date : 2024-03-08 Guangzhao Chen, Jingming Hou, Yuan Liu, Shuhong Xue, Hao Wu, Tian Wang, Jiahao Lv, Jing Jing, Shaoxiong Yang
Urban inundation disasters caused by extreme rainfall events are becoming increasingly severe. However, the numerical inundation model based on physical process has relatively slow computational speed and struggle to meet the demands of current forecasting and early warning systems. Addressing how to integrate machine learning technology into rapid urban inundation prediction, especially when dealing
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Interspecies variation in plant surface water storage capacity in alpine meadows: Prediction based on plant ecological strategies J. Hydrol. (IF 6.4) Pub Date : 2024-03-08 Wang Jun, Guo Shengmei, Zhang Liyan, Tang Xinhua, Zhang Chunyan
Rainfall interception by vegetation is essential in precipitation redistribution within ecosystems and greatly affects water services. However, the patterns of interspecies variation in plant surface water storage (PWS) remain unclear, which greatly limits our understanding of the relationship between species composition and vegetation rainfall interception. Thus, we aimed to examine whether the plant
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Island hydrogeology in the tropics: Constraining a 3D variable-density groundwater flow and solute transport model with geophysics J. Hydrol. (IF 6.4) Pub Date : 2024-03-08 Eddie W. Banks, Saskia Noorduijn, Vincent E.A. Post, Tim Munday, Camilla Sorensen, Kevin Cahill, Phillip Jolly, Joanna Ellis, Adrian D. Werner, Okke Batelaan
Saltwater intrusion is the greatest risk to coastal community water supplies where they are dependent on fresh groundwater as the main source of supply. For small, fractured bedrock island aquifers, the fresh groundwater lens dynamics and transition zone geometry are complex. This study investigated the impacts of projected increases in groundwater pumping on a fresh groundwater lens to evaluate changes
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Increasingly frequent co-occurrence of drought or pluvial in multiple tributaries of the Yangtze River basin J. Hydrol. (IF 6.4) Pub Date : 2024-03-08 Qiuyu Luo, Xiaomang Liu, Kaiwen Wang, Changming Liu
Drought and pluvial respectively represent a region experiencing a period of water deficit and surplus relative to its normal state. The co-occurrence of drought and pluvial across numerous tributaries of a large river would trigger widespread water shortage and extreme flooding. However, little is known about such spatially concurrent hydrological extremes within large river basins throughout historical
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Geochemistry of high temperature initial geothermal fluids in the Dabie orogenic belt J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Xin Zhang, Xianjun Xie, Yanxin Wang, Hong Zhou, Zhaohui Luo, Mingming Luo, Qiang Liu, Haijin Xu, Jianmei Cheng
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Coordinated development evaluation and diagnosis of regional water resources-social economy-ecological environment system based on mechanical model and risk matrix J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Yi Cui, Yuliang Zhou, Juliang Jin, Libing Zhang, Chengguo Wu, Shaowei Ning
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Assessing vegetation resilience and vulnerability to drought events in Central Asia J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Liangliang Jiang, Bing Liu, Hao Guo, Ye Yuan, Wenli Liu, Guli Jiapaer
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Long-term changes in water quality downstream of three abandoned metal mines J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Aaron M.L. Todd, Iain Robertson, Rory P.D. Walsh, Patrick Byrne, Paul Edwards, Thomas Williams
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Urban flood vulnerability Knowledge-Graph based on remote sensing and textual bimodal data fusion J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Chenfei Duan, Xiazhong Zheng, Rong Li, Zhixia Wu
Flood disasters inflict extensive, serious damage on cities and society, significantly constraining urban construction and development. There is an urgent demand to reduce urban flood vulnerability, to explore the evolution mechanism of urban flood vulnerability, and to guide the construction and improvement of urban flood control resilience. An objective and accurate knowledge graph of urban flood
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Bayesian hybrid-kernel machine-learning-assisted sensitivity analysis and sensitivity-relevant inverse modeling for groundwater DNAPL contamination J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Zeyu Hou, Ke Zhao, Shuo Wang, Yu Wang, Wenxi Lu
Accurate source characterization and transport parameter estimation is important when seeking to predict the spatiotemporal distribution of dense non-aqueous phase liquid (DNAPL) contaminants in groundwater. However, this is a complex multimodal search problem prone to equifinality and premature convergence, which leads to considerable error. To address this, a sensitivity-relevant dynamic swarm intelligence
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Isotope data-constrained hydrological model improves soil moisture simulation and runoff source apportionment J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Yi Nan, Fuqiang Tian
Multiple-objective calibration helps constrain the parameter uncertainties and improve the performances of hydrological models. Previous studies have indicated that calibration toward soil moisture data could improve the streamflow simulation, but its influence on the runoff source apportionment quantification still needs to be analyzed. Meanwhile, although isotope calibration has proved to improve
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Tracking shallow and deep groundwater storage changes in North China Plain with improved fusion method and hybrid spectral analysis approach J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Min Dai, Hao Zhou, Wenjing Ma, Lu Tang, Siyou Xu, Zhicai Luo
The North China Plain (NCP) is a critical agricultural hub in China, confronting a significant issue of groundwater depletion. However, different terrestrial water storage (TWS) change products from the Gravity Recovery and Climate Experiment (GRACE) satellites differ considerably in estimating groundwater depletion rates in the NCP. It is urgent to optimize these different products to obtain an elevated
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Integrating socio-hydrology, and peace and conflict research J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Stefan Döring, Kyungmee Kim, Ashok Swain
Socio-hydrology strives to incorporate 'the social' into the understanding of hydrological processes, aiming to enrich the analysis of water systems by considering human interactions. While there is a broader interest in integrating socio-political processes into hydrology, our paper specifically emphasizes the significant contributions of peace and conflict research to understanding the complex social
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A novel multi-scale standardized index analyzing monthly to sub-seasonal drought-flood abrupt alternation events in the Yangtze River basin J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Le Wang, Shenglian Guo, Jun Wang, Yubin Chen, Hui Qiu, Jun Zhang, Xiaojing Wei
Drought-flood abrupt alternation (DFAA) events are often cause severe disasters that affect economic growth and ecological security. Since the current monthly to sub-seasonal drought-flood abrupt alternation index (DFAI) has the limitations of misjudgments, omissions and neglecting alternation speed, this study proposes a novel multi-scale standardized DFAI index (MSDFAI) based on the definition of
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Trajectory in water scarcity and potential water savings benefits in the Yellow River basin J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Weibin Zhang, Wei Liang, Xuerui Gao, Junyi Li, Xining Zhao
Water scarcity caused by the mismatched spatiotemporal characteristics of water demand and supply threatens the sustainable development of many countries around the world. The Yellow River is the second largest river in China but suffers from intense human activity and scarce water resources. Most current studies on water scarcity assessment have coarse spatial and temporal resolution or are based
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A comprehensive assessment indicator of the water-energy-food nexus system based on the material consumption relationship J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Lingang Hao, Jingjie Yu, Ping Wang, Chunhui Han, Boris Gojenko, Bo Qu, Enhui Jiang, Sherzod Muminov
The input–output relationships among material, energy, and information within the water, energy, and food subsystems are intricately interwoven, constituting an integrated system vital for sustainable development. Various water-energy-food (WEF) nexus indicators have been applied to evaluate the system's internal relationships and state. Nevertheless, these methods fail to aggregate the internal relationships
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Soil contaminants pose delayed but pervasive threat to shallow groundwater J. Hydrol. (IF 6.4) Pub Date : 2024-03-07 Jianying Jiao, Kevin M. Befus, Ye Zhang
Dissolved chemical transport in soils can delay groundwater contamination for years. These lag times, τ, are controlled by location-dependent hydrologic, soil, and chemical properties. Despite thousands of sites with known groundwater contamination globally, numerous sites with unidentified chemical leaks could take decades to reach and degrade groundwater. Here, we quantify the potential for contamination
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The performance of IMERG near-real-time estimations during the record-breaking Meiyu season in 2020 J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Wen Liu, Haishen Lü, Yonghua Zhu, Xiaoyi Wang, Pei Gao, Jianbin Su
The extreme Meiyu season, characterized by continuous heavy precipitation, is often leads to numerous flood-related disasters. Accurate and timely monitoring of extreme Meiyu precipitation is crucial for the effective prevention and mitigation of these disasters. The near-real-time (NRT) products from Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG), specifically IMERG-E
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Assessing the impact of drought on water cycling in urban trees via in-situ isotopic monitoring of plant xylem water J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 A-M. Ring, D. Tetzlaff, M. Dubbert, J. Freymueller, C. Soulsby
Urban trees are an integral part of sustainable cities. They regulate the local microclimate and enhance the urban water cycle. Increasing periods of drought can impair urban trees by affecting their water uptake, transpiration and growth patterns. In this study, we used a multi-proxy approach to assess how non-irrigated urban trees react to changing water supply throughout the full vegetative period
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Source fingerprinting sediment loss from sub-catchments and topographic zones using geochemical tracers and weathering indices J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Farzaneh Derakhshan-Babaei, Kazem Nosrati, Peter Fiener, Markus Egli, Adrian L. Collins
Application of sediment source fingerprinting techniques to generate reliable information on sediment sources is growing, because of the global environmental importance of elevated fine-grained sediment mobilisation and delivery to rivers. Despite the application of fingerprinting at different spatial scales (e.g., land use types, geological units, and tributary sub-catchments), it has rarely been
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A novel urban waterlogging risk management approach considering efficiency-equity trade-offs and risk mitigation capability evaluation J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Ying'an Yuan, Deyun wang, Ludan Zhang, Qi Wu, Haixiang Guo
Because disaster reduction resources are always constrained, risk mitigation measures and policies need to be weighted toward efficiency or equity. Greater efficiency focuses on high-risk areas, and greater equity focuses on identifying additional potential risk areas. To address this efficiency-equity tradeoff decision, this study proposed a novel research framework for urban waterlogging risk mapping
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Modeling of flow and transport in multiscale digital rocks aided by grid coarsening of microporous domains J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Bowen Shi, Han Jiang, Bo Guo, Jian Tian, Chao-Zhong Qin
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Anthropogenic activities alter the hydrological process of submarine groundwater discharge in a coastal area of Shanghai City, China J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Dongsheng Li, Zhongfang Liu, Yunduo Zhao, Ergang Lian, Yue Zhang, Zijun Wu
Submarine groundwater discharge (SGD) is recognised as a crucial factor influencing coastal ecosystems and biogeochemical processes. Anthropogenic activities not only discharge a large amount of nutrients and pollutants into oceans but also alter the hydrological processes of SGD. Changes in the recharge source and flow pathway of submarine groundwater under anthropogenic activities were revealed in
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Assessing the resilience of stormwater ponds under climate change: A case study on Grace Lake, Florida, unveiling flood control and water quality implications J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Rahman Davtalab, Saba Ghotbi, Raana Koushki, Caroline L. Reynolds
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Effects of beach nourishment on seawater intrusion in layered heterogeneous aquifers J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Xuan Yu, Lanxuan He, Rongjiang Yao, Tongbi Tu, Zebin Zhang, Xinfeng Zhao
Beach nourishment is a widespread coastal management technique, which can not only counteract coastal erosion, but also changes coastal groundwater dynamics. Understanding mechanisms and drivers of this subsurface flow and transport processes is key to predicting future groundwater resources to beach nourishment. We implemented a monitoring network of specific conductivity (SC) sensors in wells at
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Hydrodynamic response of a large river–lake system under flow regulation: A numerical study of Hongze lake J. Hydrol. (IF 6.4) Pub Date : 2024-03-06 Fuxin Zhang, Hongwu Tang, Saiyu Yuan, Zhipeng Li, Hong Zhang, Rodney A. Stewart, Edoardo Bertone, Guangqiu Jin
The hydrodynamic processes in large river–lake systems and their responses to flow regulation represent regionally unique and highly significant issues. This study presents the implementation, validation and application of a two-dimensional hydrodynamic model to a system comprising a section of the Huai River and Hongze Lake, China. The validated model enabled the identification of hydrodynamic characteristics
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Stronger exacerbation of extreme rainfall at the hourly than daily scale by urbanization in a warming climate J. Hydrol. (IF 6.4) Pub Date : 2024-03-05 Zifeng Deng, Xushu Wu, Gabriele Villarini, Zhaoli Wang, Zhaoyang Zeng, Chengguang Lai
Despite the substantial progress in understanding the response of extreme precipitation to climate warming across different time scales, the response of these events to urbanization remains uncertain. Here, we evaluate changes in hourly and daily extreme precipitation during 1981–2020 in the urbanized Pearl River Delta, China, using observations and numerical simulations. The results of observations