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Adsorption of stable and labile emerging pollutants on activated carbon: degradation and mass transfer kinetic study Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-15 Eva Díaz, Laura García, Salvador Ordóñez
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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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Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14 Romulus Costache, Subodh Chandra Pal, Chaitanya B. Pande, Abu Reza Md. Towfiqul Islam, Fahad Alshehri, Hazem Ghassan Abdo
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A novel nanocomposite-based zeolite for efficient remediation of Cd-contaminated industrial wastewater Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14
Abstract Novel nanocomposite sorbent was produced by depositing nanostructured water treatment residual (nWTR) onto zeolite (Ze) using high-energy ball milling process. The physicochemical properties of nanocomposite (Ze-nWTR) prior and after Cd adsorption were analyzed by SEM–EDX, FTIR, BET and XRD. A batch study of cadmium adsorption (Ze-nWTR) was performed at various process parameters (sorbent
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Bismuthene@ZnAlBi LDHs structure as a novel nanosorbent for efficient uptake of arsenic (V) Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14 Saad S. M. Hassan, Mohamed E. Mahmoud, Rana M. Tharwat, Amir M. Abdelfattah
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Prediction of groundwater level using GMDH artificial neural network based on climate change scenarios Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14 Ehsan Azizi, Fariborz Yosefvand, Behrouz Yaghoubi, Mohammad Ali Izadbakhsh, Saeid Shabanlou
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In situ chemical oxidation of tinidazole in aqueous media by heat-activated persulfate: kinetics, thermodynamic, and mineralization studies Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14
Abstract This study investigated the use of heat-activated persulfate (HAP) as a chemical oxidation technique for removing tinidazole (TNZ) antibiotic from aqueous solutions. The impact of various operating parameters, including TNZ initial concentration (20 μM), persulfate (PS) initial dose (0.2–2 mM), solution pH (3–11), solution temperature (20–60 °C), and reaction time (10–120 min), was examined
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Seasonal evaluation of heavy metals and zooplankton distribution and their co-relationship in the Rosetta branch area of the Nile Delta in Egypt Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14
Abstract The River Nile is the artery of Egypt, as it presents more than 96% of the municipal, industrial, and irrigation necessities of Egypt. This study was dedicated to providing data about the effect of pollution at six stations on the River Nile at the Rosetta branch during the period from August 2019 to April 2020, using heavy metals analysis and zooplankton as biological indicators. It was found
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Extracting of prospective groundwater potential zones using remote sensing data, GIS, and multi-criteria decision-making approach in the Sub-Himalayan Dooars region of West Bengal, India Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14 Dipesh Roy, Sanjoy Barman, Goutam Mandal, Rajib Mitra, Amit Sarkar, Golap Hossain, Puja Roy, Hussein Almohamad, Hazem Ghassan Abdo, Deepak Kumar Mandal
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Performance assessment of up-flow anaerobic multi-staged reactor followed by auto-aerated immobilized biomass unit for treating polyester wastewater, with biogas production Appl. Water Sci. (IF 5.5) Pub Date : 2024-03-14 Raouf Hassan, Karim Kriaa, Amr M. Wahaballa, Mahmoud Elsayed, M. Mahmoud, Mahmoud Nasr, Ahmed Tawfik
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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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The mitigation potential of synergistic quorum quenching and antibacterial properties for biofilm proliferation and membrane biofouling Water Res. (IF 12.8) Pub Date : 2024-03-12 Li Yuan, Dai Jixiang, Ma Yanjing, Yao Yuyang, Yu Dayang, Shen Jiangnan, Wu Lijun
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Quantitative differentiation of toxicity contributions and predicted global risk of fipronil and its transformation products to aquatic invertebrates Water Res. (IF 12.8) Pub Date : 2024-03-12 Fen Liu, Huizhen Li, Xiaolei Zhang, Hao Hu, Biyao Yuan, Jing You
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All-in-one treatment: Capture and immobilization of 137Cs by ultra-stable inorganic solid acid materials HMMoO6·nH2O (M = Ta, Nb) Water Res. (IF 12.8) Pub Date : 2024-03-12 Zhihua Chen, Shaoqing Jia, Haiyan Sun, Junhao Tang, Yanling Guo, Yuexin Yao, Tianyu Pan, Meiling Feng, Xiaoying Huang
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Experimental and density functional theory investigation of surface-modified biopolymer for improved adsorption of mixtures of per- and polyfluoroalkyl substances in water Water Res. (IF 12.8) Pub Date : 2024-03-12 Aswin Kumar Ilango, Parandaman Arathala, Rabi A. Musah, Yanna Liang
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Innovative Enhancement of Electron Tunneling Synergy in Carbon-Doped Ta2O5-CuO Photocatalyst with Nematic Liquid Crystal for Safe Drinking Water Water Res. (IF 12.8) Pub Date : 2024-03-12 S. Thanka Rajan, J. Senthilnathan, A. Arockiarajan
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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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Competitive mechanism of salt-tolerance/degradation-performance of organic pollutant in bacteria: Na+/H+ antiporters contribute to salt-stress resistance but impact phenol degradation Water Res. (IF 12.8) Pub Date : 2024-03-11 Shenmei Sun, Shuo Wang, Yalin Yin, Yue Yang, Yijia Wang, Jingjing Zhang, Wei Wang
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Combatting multiple aromatic organohalide pollutants by bioaugmentation with a single Dehalococcoides in sediments Water Res. (IF 12.8) Pub Date : 2024-03-11 Guofang Xu, Hung Liang Ng, Chen Chen, Matthew J. Rogers, Jianzhong He
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Silver nanostars arrayed on GO/MWCNT composite membranes for enrichment and SERS detection of polystyrene nanoplastics in water Water Res. (IF 12.8) Pub Date : 2024-03-11 Ye Jiang, Xiaochan Wang, Guo Zhao, Yinyan Shi, Yao Wu, Haolin Yang, Fenyu Zhao
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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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Impact of Storm Events on Disinfection Byproduct Precursors in a Drinking Water Source in the Northeastern United States Water Res. (IF 12.8) Pub Date : 2024-03-10 Mohammad (Kiron) Shakhawat, Rakesh K Gelda, Karen E. Moore, Rajith Mukundan, Mariana Lanzarini-lopes, Sean McBeath, Christian D. Guzman, Dave Reckhow
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Comment on “Quantitative SARS-CoV-2 exposure assessment for workers in wastewater treatment plants using Monte-Carlo simulation by Cheng Yan et al. [Water Research 248 (2024) 120845]” Water Res. (IF 12.8) Pub Date : 2024-03-10 Sahar Gholipour, Mahnaz Nikaeen
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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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Improving modelled streamflow using time-varying multivariate assimilation of remotely sensed soil moisture and in-situ streamflow observations Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-10 R Visweshwaran, RAAJ Ramsankaran, T.I. Eldho
Hydrological models are widely used to estimate and forecast streamflow for various applications. Given the inherent uncertainties in these models, there is a pressing need to enhance the current state of the modelling strategies. Historically, hydrological models showed significant improvement through soil moisture (SM) assimilation. Particularly, when SM observations are combined with streamflow
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Microplastics in Different Municipal Solid Waste Treatment and Disposal Systems: Do They Pose Environmental Risks? Water Res. (IF 12.8) Pub Date : 2024-03-09 Lei Zhang, Wentao Zhao, Ruiqi Yan, Xia Yu, Damià Barceló, Qian Sui
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Metamodeling-based reliability analysis framework for activated sludge processes. Water Res. (IF 12.8) Pub Date : 2024-03-09 R.A. Borobio-Castillo, J.M. Cabrera-Miranda, B. Corona-Vásquez
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Satellite observations of suspended particulate matter concentration in Lake Gaoyou in the past four decades Water Res. (IF 12.8) Pub Date : 2024-03-09 Jian Wang, Deyong Sun, Shengqiang Wang, Zhenghao Li, Yue Zhang, Junsheng Li, Hailong Zhang
Suspended Particulate Matter (SPM) concentration stands as a pivotal determinant of water quality within lake ecosystems. However, comprehension of the enduring dynamics of SPM within lakes is severely hindered due to a shortage of long-term records. Our research has developed a robust remote sensing algorithm to retrieve the SPM concentration in Lake Gaoyou, situated in the lower reaches of the Huai
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Refinement of kinetic model and understanding the role of dichloride radical (Cl2•−) in radical transformation in the UV/NH2Cl process Water Res. (IF 12.8) Pub Date : 2024-03-09 Haochen Zhang, Maoju Jiang, Peng Su, Qixiao Lv, Ge Zeng, Linqian An, Jiachun Cao, Yang Zhou, Shane Allen Snyder, Jun Ma, Tao Yang
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Why is HSO5− so effective against bacteria? Insights into the mechanisms of Escherichia coli disinfection by unactivated peroxymonosulfate Water Res. (IF 12.8) Pub Date : 2024-03-08 Na Tian, Luciana Carina Schmidt, María Jesús Abeledo Lameiro, María Inmaculada Polo-López, María Luisa Marín, Francisco Boscá, Isabel del Castillo González, Aurelio Hernández Lehmann, Stefanos Giannakis
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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