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Precise Evaluation of Gas Expansion Energy Within Coal Bodies in Coal-and-Gas Outbursts: Innovation in Calculation Model and Experimental Methods Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-20 Ming Cheng, Yuanping Cheng, Liang Yuan, Liang Wang, Chenghao Wang, Jilin Yin
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Dense Contaminants Mixing Into the Saltwater Wedge in Coastal Aquifers: Laboratory and Numerical Investigations Water Resour. Res. (IF 4.6) Pub Date : 2024-07-17 Jiaxu Zhang, Chunhui Lu, Chenming Zhang
The saltwater-freshwater mixing zones in coastal aquifers can host complex physical exchange and biogeochemical transformations. The land-sourced dense contaminant plumes could be transferred into the mixing zone of the saltwater wedge due to the density effect prior to discharge to the sea. However, the mixing process between dense contaminants and the saltwater wedge has not received much attention
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Snow Depth Extraction From Time-Lapse Imagery Using a Keypoint Deep Learning Model Water Resour. Res. (IF 4.6) Pub Date : 2024-07-15 C. M. Breen, W. R. Currier, C. Vuyovich, Z. Miao, L. R. Prugh
Snow pole time-lapse photography, in which a snow pole of a known height is installed in front of a camera and photographed repeatedly over the course of a snow season, allows a large network of sites to be established relatively quickly and affordably. However, current approaches for extracting snow depth from snow poles typically relies on time intensive manual photo processing. By integrating computer
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Temperature Reduction Characteristics of Coal with Different Moisture Contents During Cryogenic Treatment Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-18 Siqi Zhang, Zhaofeng Wang, Xingying Ma, Lingling Qi, Shijie Li, Yanqi Chen
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Understanding Precipitation Moisture Sources and Their Dominant Factors During Droughts in the Vietnamese Mekong Delta Water Resour. Res. (IF 4.6) Pub Date : 2024-07-17 Keke Zhou, Xiaogang Shi
The Vietnamese Mekong Delta (VMD) is the most productive region in Vietnam in terms of agriculture and aquaculture. Unsurprisingly, droughts have been a prevalent concern for stakeholders across the VMD over the past decades. However, the VMD precipitation moisture sources and their dominant factors during drought conditions were not well understood. Using the ERA5 reanalysis data as inputs, the Water
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Insights for River Restoration: The Impacts of Vegetation Canopy Length and Canopy Discontinuity on Riverbed Evolution Water Resour. Res. (IF 4.6) Pub Date : 2024-07-16 Fujian Li, Yuqi Shan, Ming Li, Yakun Guo, Chao Liu
River restoration projects often involve vegetation planting to retain sediment and stabilize riverbanks. Laboratory experiments have explored the impact of rigid emergent vegetation canopies on bed morphology. Inside canopies, bed erosion is attributed to vegetation-induced turbulent kinetic energy (TKE). Based on the in-canopy local TKE and the criteria for sediment movement, a method is established
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Deciphering the Mechanism of Better Predictions of Regional LSTM Models in Ungauged Basins Water Resour. Res. (IF 4.6) Pub Date : 2024-07-16 Qiang Yu, Liguang Jiang, Raphael Schneider, Yi Zheng, Junguo Liu
Prediction in ungauged basins (PUB) is a concerning hydrological challenge, prompting the development of various regionalization methods to improve prediction accuracy. The long short-term memory (LSTM) model has gained popularity in rainfall-runoff prediction in recent years and has proven applicable in PUB. Prior research indicates that incorporating static attributes in the training of regional
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Quantifying Compound and Nonlinear Effects of Hurricane-Induced Flooding Using a Dynamically Coupled Hydrological-Ocean Model Water Resour. Res. (IF 4.6) Pub Date : 2024-07-17 Daoyang Bao, Z. George Xue, John C. Warner
We recently developed a dynamically coupled hydrological-ocean modeling system that provides seamless coverage across the land-ocean continuum during hurricane-induced compound flooding. This study introduced a local inertial equation and a diagonal flow algorithm to the overland routing of the coupled system’s hydrology model (WRF-Hydro). Using Hurricane Florence (2018) as a test case, the performance
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Downscaled-GRACE Data Reveal Anthropogenic and Climate-Induced Water Storage Decline Across the Indus Basin Water Resour. Res. (IF 4.6) Pub Date : 2024-07-15 Arfan Arshad, Ali Mirchi, Saleh Taghvaeian, Amir AghaKouchak
GRACE (Gravity Recovery and Climate Experiment) has been widely used to evaluate terrestrial water storage (TWS) and groundwater storage (GWS). However, the coarse-resolution of GRACE data has limited the ability to identify local vulnerabilities in water storage changes associated with climatic and anthropogenic stressors. This study employs high-resolution (1 km2) GRACE data generated through machine
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A Theoretical Investigation of Coal Fracture Evolution with Hydrostatic Pressure and its Validation by CT Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-16 Changxin Zhao, Yuanping Cheng, Wei Li, Liang Wang, Zhuang Lu, Hao Wang
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CLUSTERDC: A New Density-Based Clustering Algorithm and its Application in a Geological Material Characterization Workflow Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-15 Maximilien Meyrieux, Samer Hmoud, Pim van Geffen, David Kaeter
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Lifetime optimisation of integrated thermally and electrically driven solar desalination plants npj Clean Water (IF 10.4) Pub Date : 2024-07-16 Benedict Winchester, Gan Huang, Hamish Beath, Philip Sandwell, Jiajun Cen, Jenny Nelson, Christos N. Markides
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Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence-Based Analysis: Colorado River Case Study Water Resour. Res. (IF 4.6) Pub Date : 2024-07-15 Homa Salehabadi, David G. Tarboton, Kevin G. Wheeler, Rebecca Smith, Sarah Baker
Stochastic hydrology produces ensembles of time series that represent plausible future streamflow to simulate and test the operation of water resource systems. A premise of stochastic hydrology is that ensembles should be statistically representative of what may occur in the future. In the past, the application of this premise has involved producing ensembles that are statistically equivalent to the
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Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean-Climate Watersheds Water Resour. Res. (IF 4.6) Pub Date : 2024-07-15 S. Adera, D. Bellugi, A. Dhakal, L. Larsen
Accurate streamflow predictions are essential for water resources management. Recent studies have examined the use of hybrid models that integrate machine learning models with process-based (PB) hydrologic models to improve streamflow predictions. Yet, there are many open questions regarding optimal hybrid model construction, especially in Mediterranean-climate watersheds that experience pronounced
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Knowledge Extraction via Machine Learning Guides a Topology-Based Permeability Prediction Model Water Resour. Res. (IF 4.6) Pub Date : 2024-07-12 Jia Zhang, Gang Ma, Zhibing Yang, Jiangzhou Mei, Daren Zhang, Wei Zhou, Xiaolin Chang
The complexity and heterogeneity of pore structure present significant challenges in accurate permeability estimation. Commonly used empirical formulas neglect its microscopic and topological characteristics, thus lacking accuracy and adaptability. While machine learning (ML) and deep learning (DL) models demonstrate promising performance, but encounter challenges of data availability, computational
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An Artificial Neural Network Approach for Predicting TOC and Comprehensive Pyrolysis Parameters from Well Logs and Applications to Source Rock Evaluation Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-14 Mohamed Elfatih Salaim, Huolin Ma, Xiangyun Hu, Hatim Quer
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Investigating the Model Hypothesis Space: Benchmarking Automatic Model Structure Identification With a Large Model Ensemble Water Resour. Res. (IF 4.6) Pub Date : 2024-07-12 Diana Spieler, Niels Schütze
Selecting an appropriate model for a catchment is challenging, and choosing an inappropriate model can yield unreliable results. The Automatic Model Structure Identification (AMSI) method simultaneously calibrates model structural choices and model parameters, which reduces the workload of comparing different models. In this study we benchmark AMSI's capabilities in two ways, using 12 hydro-climatically
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Long-Term Performance on Drought Mitigation of Soil Slope Through Bio-Approach of MICP: Evidence and Insight from Both Field and Laboratory Tests Water Resour. Res. (IF 4.6) Pub Date : 2024-07-12 Xin-Lun Ji, Chao-Sheng Tang, Xiao-Hua Pan, Zhao-Lin Cai, Bo Liu, Dian-Long Wang
Drought is a serious global environmental issue that causes water resource scarcity and threatens agriculture and food supplements. This study aims to investigate the long-term performance of an eco-friendly technique-microbial induced carbonate precipitation (MICP) on drought mitigation at field and laboratory scales. Seven in-situ slopes treated with different MICP rounds and cementation solution
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SsL-VGMM: A Semisupervised Machine Learning Model of Multisource Data Fusion for Lithology Prediction Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-13 Pengfei Lv, Weiying Chen, Hai Li, Wangting Song
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Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks npj Clean Water (IF 10.4) Pub Date : 2024-07-13 Yeongho Sung, Hyeon-Ju Jeon, Daehun Kim, Min-Seo Kim, Jaeyeop Choi, Hwan Ryul Jo, Junghwan Oh, O-Joun Lee, Hae Gyun Lim
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Effect of different MoS2 morphologies on the formation and performance of adsorptive-catalytic nanocomposite membranes npj Clean Water (IF 10.4) Pub Date : 2024-07-13 Delal E. Al Momani, Fathima Arshad, Inas Taha, Dalaver H. Anjum, Linda Zou
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Extracellular-proton-transfer driving high energy-conserving methanogenesis in anaerobic digestion Water Res. (IF 11.4) Pub Date : 2024-07-14 Haoyu Liu, Ying Xu, Xinyu Li, Hong Wang, Rui Liu, Xiaohu Dai
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Probing nitro(so) and chloro byproducts and their precursors in natural organic matter during UV/NH2Cl treatment by FT-ICR MS with machine learning insights Water Res. (IF 11.4) Pub Date : 2024-07-14 Junfang Li, Zhechao Hua, Wenlei Qin, Chunyan Chen, Bao Zhu, Ting Ruan, Yingying Xiang, Jingyun Fang
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Pyrite-stimulated bio-reductive immobilization of perrhenate: Insights from integrated biotic and abiotic perspectives Water Res. (IF 11.4) Pub Date : 2024-07-14 Haoqing Zhang, Bo Li, Xiaona Liu, Tianwei Qian, Dongye Zhao, Jianhui Wang, Lei Zhang, Ting Wang
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Effects of Different Concentrations of Weak Acid Fracturing Fluid on the Microstructure of Coal Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-13 Gan Rui, Zuo Shaojie, Si Junting, Liu Chengwei, Tian Feng, Jiang Zhizhong, Wang Changwei, Peng Shouqing, Xu Zhiyuan
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Molecular weight insight into critical component contributing to reverse osmosis membrane fouling in wastewater reclamation npj Clean Water (IF 10.4) Pub Date : 2024-07-12 Yuan Bai, Yinhu Wu, Ziwei Zhang, Yu Mao, Ruining Wang, Xin Tong, Song Xue, Haobin Wang, Hongying Hu
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Graph Neural Networks for Pressure Estimation in Water Distribution Systems Water Resour. Res. (IF 4.6) Pub Date : 2024-07-09 Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler
Pressure and flow estimation in water distribution networks (WDNs) allows water management companies to optimize their control operations. For many years, mathematical simulation tools have been the most common approach to reconstructing an estimate of the WDNs hydraulics. However, pure physics-based simulations involve several challenges, for example, partially observable data, high uncertainty, and
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A Conceptual Framework to Assess Post-Wildfire Water Quality: State of the Science and Knowledge Gaps Water Resour. Res. (IF 4.6) Pub Date : 2024-07-10 Sarah M. Elliott, Michelle I. Hornberger, Donald O. Rosenberry, Rebecca J. Frus, Richard M. Webb
Wildfire substantially alters aquatic ecosystems by inducing moderate to catastrophic physical and chemical changes. However, the relations of environmental and watershed variables that drive those effects are complex. We present a Driver-Factor-Stressor-Effect (DFSE) conceptual framework to assess the current state of the science related to post-wildfire water-quality. We reviewed 64 peer-reviewed
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The Fragility of Bedform-Induced Hyporheic Zones: Exploring Impacts of Dynamic Groundwater Table Fluctuations Water Resour. Res. (IF 4.6) Pub Date : 2024-07-12 L. Wu, J. D. Gomez-Velez, L. Li, K. C. Carroll
Hyporheic zones are commonly regarded as resilient and enduring interfaces between groundwater and surface water in river corridors. In particular, bedform-induced advective pumping hyporheic exchange (bedform-induced exchange) is often perceived as a relatively persistent mechanism in natural river systems driving water, solutes, and energy exchanges between the channel and its surrounding streambed
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Fuzzy-AHP and GIS-Based Modeling for Food Grain Cropping Suitability in Sundarban, India Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-11 Sabir Hossain Molla, Rukhsana
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Evolution of Broken Coal’s Permeability Characteristics under Cyclic Loading–Unloading Conditions Nat. Resour. Res. (IF 4.8) Pub Date : 2024-07-11 Liang Luo, Lei Zhang, Jianzhong Pan, Mingxue Li, Ye Tian, Chen Wang, Songzhao Li
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Data driven multiple objective optimization of AAO process towards wastewater effluent biological toxicity reduction npj Clean Water (IF 10.4) Pub Date : 2024-07-12 Jie Hu, Ran Yin, Jinfeng Wang, Hongqiang Ren
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Long-term operation and dynamic response of dissimilatory nitrate reduction to ammonium process under low-frequency infrared electromagnetic field npj Clean Water (IF 10.4) Pub Date : 2024-07-11 Yuyang Xie, Zhibin Wang, Sherif Ismail, Shou-Qing Ni
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Underwater light source changes nitrogen and phosphorus removal pathways by Vallisneria spinulosa Yan growth system npj Clean Water (IF 10.4) Pub Date : 2024-07-11 Jinshan Zhao, Xiaolin Zhou, Chunzhen Fan, Zhiquan Wang, Zhan Jin, Ke Bei, Xiangyong Zheng, Min Zhao, Suqing Wu
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Congo Basin Water Balance and Terrestrial Fluxes Inferred From Satellite Observations of the Isotopic Composition of Water Vapor Water Resour. Res. (IF 4.6) Pub Date : 2024-07-10 Sarah Worden, A. Anthony Bloom, John Worden, Paul Levine, Mingjie Shi, Rong Fu
Large spatio-temporal gradients in the Congo basin vegetation and rainfall are observed. However, its water-balance (evapotranspiration minus precipitation, or ET − P) is typically measured at basin-scales, limited primarily by river-discharge data, spatial resolution of terrestrial water storage measurements, and poorly constrained ET. We use observations of the isotopic composition of water vapor
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Structure and molecular-level transformation for oxidation of effluent organic matters by manganese oxides Water Res. (IF 11.4) Pub Date : 2024-07-11 Hongnan Liu, Yingying Li, Zizheng Huangfu, Qi Lu, Baolong Yang, Yongze Liu
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Spatial variation of anthropogenic disturbances within watersheds determines dissolved organic matter composition exported to oceans Water Res. (IF 11.4) Pub Date : 2024-07-11 Liyin Qu, Randy A. Dahlgren, Shuchai Gan, Mingxing Ren, Nengwang Chen, Weidong Guo
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Phosphorous speciation in EPS extracted from Aerobic Granular Sludge Water Res. (IF 11.4) Pub Date : 2024-07-11 Nouran T. Bahgat, Philipp Wilfert, Stephen J. Eustace, Leon Korving, Mark C.M. van Loosdrecht
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Investigating the Intense Sediment Load by Dam-Break Floods Using a Meshless Two-Phase Mathematical Model Water Resour. Res. (IF 4.6) Pub Date : 2024-07-10 Xiafei Guan, Kailun Hu, Xin Chen, Junliang Gao, Huabin Shi
Extreme precipitation is increasing the risk of dam breaks and formation occurring debris dams. Accurate prediction of dam-break wave propagation is critical to disaster emergency management. Intense bed-load transport by dam-break floods can result in a dramatic change of topography, which in turn may affect flood propagation. However, only a very few studies have investigated the thin intense bed-load
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Three-Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning Water Resour. Res. (IF 4.6) Pub Date : 2024-07-05 Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet
Characterizing the 3D distribution of hydraulic properties in glacial sediments is challenging due to fine-scale heterogeneity and complexity. Borehole lithological data provide high vertical resolution but low horizontal resolution. Geophysical methods can fill gaps between boreholes, providing improved horizontal resolution but low vertical resolution. Machine learning can combine borehole and geophysical
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Inter-Regional Food-Water-Income Synergy Through Bi-Level Crop Redistribution Model Coupled With Virtual Water: A Case Study of China’s Hetao Irrigation District Water Resour. Res. (IF 4.6) Pub Date : 2024-07-09 Jieling Yin, Xin Li, Bernie A. Engel, Jiayi Ding, Xin Xing, Shikun K. Sun, Yubao B. Wang
Incorporating water footprints and virtual water into crop redistribution provides a new approach for efficient water resources utilization and synergistic development of water surplus and scarce regions. In this work, the absolute and comparative advantage of the production-based blue and gray water footprint (PWFblue and PWFgray), the calorie-based blue water footprint (CWFblue) and the net benefit-based
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Berkeley-RWAWC: A New CYGNSS-Based Watermask Unveils Unique Observations of Seasonal Dynamics in the Tropics Water Resour. Res. (IF 4.6) Pub Date : 2024-07-09 Tianjiao Pu, Cynthia Gerlein-Safdi, Ying Xiong, Mengze Li, Eric A. Kort, A. Anthony Bloom
The UC Berkeley Random Walk Algorithm WaterMask from CYGNSS (Berkeley-RWAWC) is a new data product designed to address the challenges of monitoring inundation in regions hindered by dense vegetation and cloud cover as is the case in most of the Tropics. The Cyclone Global Navigation Satellite System (CYGNSS) constellation provides data with a higher temporal repeat frequency compared to single-satellite
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Next Generation Public Supply Water Withdrawal Estimation for the Conterminous United States Using Machine Learning and Operational Frameworks Water Resour. Res. (IF 4.6) Pub Date : 2024-07-09 Ayman Alzraiee, Richard Niswonger, Carol Luukkonen, Josh Larsen, Donald Martin, Deidre Herbert, Cheryl Buchwald, Cheryl Dieter, Lisa Miller, Jana Stewart, Natalie Houston, Scott Paulinski, Kristen Valseth
Estimation of human water withdrawals is more important now than ever due to uncertain water supplies, population growth, and climate change. Fourteen percent of the total water withdrawal in the United States is used for public supply, typically including deliveries to domestic, commercial, and occasionally including industrial, irrigation, and thermoelectric water withdrawal. Stewards of water resources
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Integrating a Water Tracer Model Into WRF-Hydro for Characterizing the Effect of Lateral Flow in Hydrologic Simulations Water Resour. Res. (IF 4.6) Pub Date : 2024-07-08 Huancui Hu, L. Ruby Leung, Francina Dominguez, David Gochis, Xingyuan Chen, Stephen Good, Aubrey Dugger, Laurel Larsen, Michael Barlage
Most current land models approximate terrestrial hydrological processes as one-dimensional vertical flow, neglecting lateral water movement from ridges to valleys. Such lateral flow is fundamental at catchment scales and becomes crucial for finer-scale land models. To test the effect of incorporating lateral flow toward three-dimensional representations of hydrological processes in the next generation
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Dynamic pH regulation drives Nitrosomonas for high-rate stable acidic partial nitritation Water Res. (IF 11.4) Pub Date : 2024-07-10 Siqi Li, Xiaofeng Kang, Zhiqiang Zuo, Md Sahidul Islam, Shaolin Yang, Yanchen Liu, Xia Huang
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Prediction of hydroxyl radical exposure during ozonation using different machine learning methods with ozone decay kinetic parameters Water Res. (IF 11.4) Pub Date : 2024-07-10 Dongwon Cha, Sanghun Park, Min Sik Kim, Jaesang Lee, Yunho Lee, Kyung Hwa Cho, Changha Lee
The abatement of micropollutants by ozonation can be accurately calculated by measuring the exposures of molecular ozone (O) and hydroxyl radical (OH) (i.e., ∫[O]dt and ∫[OH]dt). In the actual ozonation process, ∫[O]dt values can be calculated by monitoring the O decay during the process. However, calculating ∫[OH]dt is challenging in the field, which necessitates developing models to predict ∫[OH]dt
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A High-Performance Coupled Human And Natural Systems (CHANS) Model for Flood Risk Assessment and Reduction Water Resour. Res. (IF 4.6) Pub Date : 2024-07-04 Haoyang Qin, Qiuhua Liang, Huili Chen, Varuna De Silva
In recent years, flood risk in urban areas has been rapidly increasing due to unsustainable urban development, changes of hydrological processes and frequent occurrence of extreme weather events. Flood risk assessment should realistically take into account the complex interactions between human and natural systems to better inform risk management and improve resilience. In this study, we propose a
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Effective Characterization of Fractured Media With PEDL: A Deep Learning-Based Data Assimilation Approach Water Resour. Res. (IF 4.6) Pub Date : 2024-07-05 Tongchao Nan, Jiangjiang Zhang, Yifan Xie, Chenglong Cao, Jichun Wu, Chunhui Lu
Geological formations with fractures are frequently encountered in various research fields. Accurately characterizing these fractured media is of paramount importance when it comes to tasks that demand precise predictions of liquid flow and solute transport within them. Since directly measuring fractured media poses inherent challenges, data assimilation (DA) techniques are typically employed to derive
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Lidar DEM and Computational Mesh Grid Resolutions Modify Roughness in 2D Hydrodynamic Models Water Resour. Res. (IF 4.6) Pub Date : 2024-07-07 Elizabeth M. Prior, Nathan Michaelson, Jonathan A. Czuba, Thomas J. Pingel, Valerie A. Thomas, W. Cully Hession
Topography and the computational mesh grid are fundamental inputs to all two-dimensional (2D) hydrodynamic models, however their resolutions are often arbitrarily selected based on data availability. With the increasing use of drone technology, the end user can collect topographic data down to centimeter-scale resolution. With this advancement comes the responsibility of choosing a resolution. In this
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Parameter Regionalization With Donor Catchment Clustering Improves Urban Flood Modeling in Ungauged Urban Catchments Water Resour. Res. (IF 4.6) Pub Date : 2024-07-05 Chen Hu, Jun Xia, Dunxian She, Zhaoxia Jing, Si Hong, Zhihong Song, Gangsheng Wang
The lack of discharge observations and reliable drainage information is a pervasive problem in urban catchments, resulting in difficulties in parameterizing urban hydrological models. Current parameterization methods for ungauged urban catchments mostly rely on subjective experiences or simplified models, resulting in inadequate accuracy for urban flood prediction. Parameter regionalization has been
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Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network Water Resour. Res. (IF 4.6) Pub Date : 2024-07-06 Ruochen Sun, Baoxiang Pan, Qingyun Duan
Land surface hydrologic models adeptly capture crucial terrestrial processes with a high level of spatial detail. Typically, these models incorporate numerous uncertain, spatially varying parameters, the specification of which can profoundly impact the simulation capabilities. There is a longstanding tradition wherein parameter calibration has served as the conventional procedure to enhance model performance
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Land Surface Modeling as a Tool to Explore Sustainable Irrigation Practices in Mediterranean Fruit Orchards Water Resour. Res. (IF 4.6) Pub Date : 2024-07-06 O. Dombrowski, C. Brogi, H.-J. Hendricks Franssen, V. Pisinaras, A. Panagopoulos, S. Swenson, H. Bogena
Irrigation strongly influences land-atmosphere processes from regional to global scale. Therefore, an accurate representation of irrigation is crucial to understand these interactions and address water resources issues. While irrigation schemes are increasingly integrated into land surface models, their evaluation and further development remains challenging due to data limitations. This study assessed
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Characterizing Satellite Soil Moisture Drydown: A Bivariate Filtering Approach Water Resour. Res. (IF 4.6) Pub Date : 2024-07-05 Jhilam Sinha, Ashish Sharma, Lucy Marshall, Seokhyeon Kim
Drying of soil impacts land energy and water balance, influences the sustainability of vegetation growth, and modulates hydrological extremes including floods. While satellite soil moisture data are widely used for a range of environmental applications, systematic differences from regional in-situ data prevent their optimal use as key physical signatures (such as soil moisture recession, also termed
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Antibiotics removal and antimicrobial resistance control by ozone/peroxymonosulfate-biological activated carbon: A novel treatment process Water Res. (IF 11.4) Pub Date : 2024-07-09 Xin Yang Zhang, Tai Shan Liu, Jiang Yong Hu
Biological activated carbon (BAC) is one of the important treatment processes in wastewater and advanced water treatment. However, the BAC process has been reported to have antimicrobial resistance (AMR) risks. In this study, a new BAC-related treatment process was developed to reduce AMR caused by BAC treatment: ozone/peroxymonosulfate-BAC (O/PMS-BAC). The O/PMS-BAC showed better treatment performance
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Electrochemically producing high-valent iron–oxo species for phenolics-laden high chloride wastewater pretreatment Water Res. (IF 11.4) Pub Date : 2024-07-09 Shuchang Wang, Chengjin Wang, Chunhua Feng, Wenxiao Zheng, Hongyu Dong, Xiaohong Guan
Electrochemical advanced oxidation processes (EAOPs) have shown great promise for treating industrial wastewater contaminated with phenolic compounds. However, the presence of chloride in the wastewater leads to the production of undesirable chlorinated organic and inorganic byproducts, limiting the application of EAOPs. To address this challenge, we investigated the potential of incorporating Fe(II)
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Algae promotes the biogenic oxidation of Mn(II) by accelerated extracellular superoxide production Water Res. (IF 11.4) Pub Date : 2024-07-08 Jing Qi, Xi Wang, Zemiao Lin, Jijin Zhao, Chengzhi Hu, Jiuhui Qu
Microbial manganese (Mn) oxidation, predominantly occurs within the anaerobic-aerobic interfaces, plays an important role in environmental pollution remediation. The anaerobic-aerobic transition zones, notably riparian and lakeside zones, are hotspots for algae-bacteria interactions. Here, we adopted a Mn(II)-oxidizing bacterium sp. QJX-1 to investigate the impact of algae on microbial Mn(II) oxidation
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Geometric relationship between the projected surface area and mass of a plastic particle Water Res. (IF 11.4) Pub Date : 2024-07-08 Tomoya Kataoka, Yota Iga, Rifqi Ahmad Baihaqi, Hadiyanto Hadiyanto, Yasuo Nihei
The quantification of the mass of /microplastic (MMP) particles is crucial for assessing the global inventory of ocean plastics and assessing environmental and human health risks. Herein, linear regression models between mass and projected surface area on a log scale were established by directly measuring the masses of 4390 MMP particles collected at 35 sites in 17 Japanese rivers with an ultramicrobalance
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Activation of peracetic acid by electrodes using biogenic electrons: A novel energy- and catalyst-free process to eliminate pharmaceuticals Water Res. (IF 11.4) Pub Date : 2024-07-08 Rusen Zou, Wenqiang Yang, Babak Rezaei, Kai Tang, Kuangxin Guo, Pingping Zhang, Stephan Sylvest Keller, Henrik Rasmus Andersen, Yifeng Zhang
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Photochemical transformation of liquid crystal monomers in simulated environmental media: Kinetics, mechanism, toxicity variation and QSAR modeling Water Res. (IF 11.4) Pub Date : 2024-07-08 Yandong Yang, Xiangkun Jiang, Yi Yang, Jia Wang, Yahui Zhao, Shanshan Lin, Jiao Qu, Christopher J. Martyniuk, Yuanhui Zhao, Chao Li
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Indicators to complement global monitoring of safely managed on-site sanitation to understand health risks npj Clean Water (IF 10.4) Pub Date : 2024-07-07 Freya Mills, Tim Foster, Antoinette Kome, Rajeev Munankami, Gabrielle Halcrow, Antony Ndungu, Barbara Evans, Juliet Willetts