Ground Water Monitoring and Remediation最新文献

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IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2026-02-20 DOI: 10.1111/gwmr.70037

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Society News 社会新闻

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2026-02-20 DOI: 10.1111/gwmr.70038

Mike Price

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Advances in Remediation: PFAS Precursors—Dark Matter Menace or Negligible Nothingburger? 修复的进展：PFAS前体——暗物质威胁还是可忽略的虚无？

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2026-02-06 DOI: 10.1111/gwmr.70034

Craig Divine, Tifany L. Torralba-Sanchez, Timothy Blount, Theresa Guillette, Baxter Miatke, Johnsie Lang

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SERDP & ESTCP Corner: Headlines from the Environmental Restoration Program Area SERDP & ESTCP角：来自环境恢复计划领域的头条新闻

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2026-02-04 DOI: 10.1111/gwmr.70035

Sarah Mass

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Regulator’s Perspective: State Class VI Carbon Sequestration Well Primacy Program with a Selected Example 监管者的观点：国家六级碳封存井首要计划与选定的例子

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2026-02-03 DOI: 10.1111/gwmr.70033

Chuck Job

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In My Experience: Pulling on the Thread of Scientific Literacy Is Revealing 以我的经验：牵着科学素养的线是有启示的

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2026-02-03 DOI: 10.1111/gwmr.70040

J.F. Devlin

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Facilitated Transport of Organic Contaminants in a High Concentration, Multicomponent Plume 高浓度、多组分羽流中有机污染物的促进运输

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2025-12-10 DOI: 10.1111/gwmr.70028

D. M. Mackay, B. Myller, G. C. Bianchi-Mosquera, B. D. Honeyman, M. Schirmer, R. M. Allen-King, W. P. Ball, R. L. Stollar

{"title":"Facilitated Transport of Organic Contaminants in a High Concentration, Multicomponent Plume","authors":"D. M. Mackay, B. Myller, G. C. Bianchi-Mosquera, B. D. Honeyman, M. Schirmer, R. M. Allen-King, W. P. Ball, R. L. Stollar","doi":"10.1111/gwmr.70028","DOIUrl":"https://doi.org/10.1111/gwmr.70028","url":null,"abstract":"A field experiment evaluated the transport of organic contaminants in a plume from hazardous waste disposal areas at the Rocky Mountain Arsenal. The plume contained many xenobiotic contaminants, with widely varying expected mobilities. In laboratory tests, the aquifer sediments had shown significant capacity for sorption of organic contaminants from synthetic groundwater, suggesting contaminants’ mobilities in situ could have been retarded. Sediment cores showed sorbed concentrations of contaminants at or below detection levels, suggesting sorption in situ was minimal. The field experiment made direct observations of organic contaminant transport under plume conditions by flushing tracer-amended organic-free water through the plume. No contaminants were retarded in their migration compared to the tracer, suggesting negligible sorption of the contaminants in situ. The concentration of colloids, cosolvents (such as alcohols and ketones), and anionic surfactants in the plume were too low to have had a significant effect on contaminant migration. Non-ionic surfactants, though not monitored, could have reduced sorption somewhat if they had constituted a significant fraction of the uncharacterized dissolved organic carbon. Micro- or nano-plastic particles, though monitored only indirectly, are deemed unlikely to have significantly affected organic solute transport. Microemulsions may have been present and facilitated the transport of contaminants, but only indirect evidence was obtained. Although the specific reasons for the enhanced mobility of organic contaminants could not be confirmed, this research is the first to show that unknown plume components can be responsible for the suppression of sorption, suggesting new lab research is needed to expand understanding of factors affecting sorption.","PeriodicalId":55081,"journal":{"name":"Ground Water Monitoring and Remediation","volume":"46 1","pages":"62-83"},"PeriodicalIF":1.3,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ngwa.onlinelibrary.wiley.com/doi/epdf/10.1111/gwmr.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Emerging Trends in Methods for Arsenic Detection in Drinking Water 饮用水中砷检测方法的新趋势

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2025-12-02 DOI: 10.1111/gwmr.70029

Tarcízio Ferrão, Partha Pratim Sahu

{"title":"Emerging Trends in Methods for Arsenic Detection in Drinking Water","authors":"Tarcízio Ferrão, Partha Pratim Sahu","doi":"10.1111/gwmr.70029","DOIUrl":"https://doi.org/10.1111/gwmr.70029","url":null,"abstract":"Arsenic (As) contamination in drinking water is a critical public health concern due to its high toxicity and long-term health effects, such as cancer, neurological disorders, and cardiovascular diseases. Effective detection of low concentrations of As requires the development of high-speed, disposable, and portable sensors with a low limit of detection to protect human health and minimize risks from chronic exposure. This review assesses recent progress in arsenic detection methods, with a focus on innovative sensor methodologies that enhance sensitivity, specificity, and cost-effectiveness. Emerging approaches, including electrochemical sensors, biosensor platforms, and nanotechnology-based systems, are explored in detail. Electrochemical sensors and nanomaterials offer rapid and affordable solutions for on-site measurement of As. Biosensors using aptamers or whole-cell systems were reported with high selectivity and field adaptability. Progress in microfluidic and optical sensor technologies has led to the development of portable and real-time detection tools. Despite these advances, challenges remain, such as interference from coexisting metal ions, limited sensor stability, and barriers to large-scale implementation. Future research should focus on the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) to enable continuous monitoring, as well as developing reusable and self-regenerative sensors to ensure long-term sustainability in water quality assessment. This review provides a comprehensive overview of current arsenic detection technologies and outlines strategic directions for researchers and policymakers aiming to improve the safety of drinking water on a global scale.","PeriodicalId":55081,"journal":{"name":"Ground Water Monitoring and Remediation","volume":"46 1","pages":"84-108"},"PeriodicalIF":1.3,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2025-11-15 DOI: 10.1111/gwmr.70016

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Leveraging Temporal CSIA Groundwater Data and Automated Workflows to Evaluate Degradation Behavior at DNAPL Sites 利用时序CSIA地下水数据和自动化工作流程评估DNAPL站点的退化行为

IF 1.3 4区环境科学与生态学

Ground Water Monitoring and Remediation Pub Date : 2025-11-15 DOI: 10.1111/gwmr.70018

Carol Cheyne, Julie Konzuk, Lisa D’Agostino, Kevin Kim, James Stening, Olga Bukhteeva, Bryan Goodwin

{"title":"Leveraging Temporal CSIA Groundwater Data and Automated Workflows to Evaluate Degradation Behavior at DNAPL Sites","authors":"Carol Cheyne, Julie Konzuk, Lisa D’Agostino, Kevin Kim, James Stening, Olga Bukhteeva, Bryan Goodwin","doi":"10.1111/gwmr.70018","DOIUrl":"https://doi.org/10.1111/gwmr.70018","url":null,"abstract":"This study presents a methodology for evaluating natural and enhanced degradation behavior at complex dense non-aqueous phase liquid (DNAPL) sites via automated processing of compound-specific isotope analysis (CSIA) groundwater datasets developed over several years of sampling. The method utilizes CSIA datasets from two Australian sites, the Orica Botany Bay Facility in Matraville, New South Wales, and a former chemical manufacturing facility in Victoria, to gain qualitative and semi-quantitative insights into natural and enhanced attenuation processes. An automated workflow was developed to evaluate CSIA data trends to assess degradation mechanisms and rates, providing insight into contaminant attenuation progress across large, complex sites. In this study, isotopic enrichment factors were estimated based on temporal groundwater concentration and CSIA data at individual well locations, and those enrichment factors were evaluated alongside corresponding geological, microbial, and geochemical data to identify areas where attenuation plays a significant role in contaminant mass reduction. Interpretation of the CSIA data was ground-truthed by comparing to enrichment factors in the academic literature, assessing other evidence supporting degradation activity, and considering aspects of the site conceptual model that could affect isotopic behavior. By applying an automated workflow to CSIA datasets, the findings of this study demonstrate a valuable standardized approach to gain useful knowledge on the contribution of monitored natural attenuation (MNA) and enhanced biodegradation to contaminant mass reduction at complex sites. The study also illustrates some complexities associated with DNAPL sites (e.g., multiple sources of mass, multiple degradation mechanisms) that need to be considered when interpreting CSIA data.","PeriodicalId":55081,"journal":{"name":"Ground Water Monitoring and Remediation","volume":"45 4","pages":"51-73"},"PeriodicalIF":1.3,"publicationDate":"2025-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145522281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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