Joint identification of groundwater contaminant sources: an improved optimization algorithm

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(5)

Опубликована: Апрель 5, 2025

Язык: Английский

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How environmental stress will be spatially reconfigured under artificial sources and scale mismatch? A case in Yangtze River Delta, China

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 9, 2025

Язык: Английский

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Characteristics of DOM and bacterial community in rural black and odorous water bodies under different dimensions

The Science of The Total Environment, Год журнала: 2024, Номер 927, С. 172005 - 172005

Опубликована: Март 28, 2024

Язык: Английский

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Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review

Sensors, Год журнала: 2024, Номер 24(13), С. 4350 - 4350

Опубликована: Июль 4, 2024

Water pollution greatly impacts humans and ecosystems, so a series of policies have been enacted to control it. The first step in performing is detect contaminants the water. Various methods proposed for water quality testing, such as spectroscopy, chromatography, electrochemical techniques. However, traditional testing require utilization laboratory equipment, which large not suitable real-time field. Microfluidic devices can overcome limitations instruments become an efficient convenient tool analysis. At same time, artificial intelligence ideal means recognizing, classifying, predicting data obtained from microfluidic systems. based on machine learning are being developed with great significance next generation monitoring This review begins brief introduction algorithms involved materials used fabrication detection techniques platforms. Then, latest research development combining two pollutant bodies, including heavy metals, pesticides, micro- nanoplastics, microalgae, mainly introduced. Finally, challenges encountered future directions industrial chips discussed.

Язык: Английский

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Exploring salinity origins in the Ghiss-Nekor aquifer, northern Morocco: A multivariate statistical analysis

BIO Web of Conferences, Год журнала: 2024, Номер 109, С. 01017 - 01017

Опубликована: Янв. 1, 2024

The Ghiss-Nekor coastal aquifer is characterized by high salinity stemming from multiple sources, remains poorly investigated. This study aims to address this knowledge gap employing both univariate (descriptive statistics) and multivariate statistical analyses, including correlation matrix principal component analysis (PCA). Groundwater samples were collected 52 sites across the area meticulously analyzed for pH, TDS, EC, ions such as Na + , K Mg 2+ Ca NH 4 HCO 3 - NO 2 ,Cl SO 2- PO 3- SiO . Descriptive statistics, notably standard deviation (SD), highlight diverse sources contributing salinization, among which seawater intrusion (SWI) emerges a significant factor. Correlation underscores pathways implicating SWI, salt dissolution, chemical weathering, secondary leaching, anthropogenic activities. PCA elucidates 81.05% of total variance in physicochemical parameters, with strong loadings observed Cl corroborating influence SWI suggesting evaporation processes. Moreover, reinforces potential geogenic factors salinization within area. comprehensive investigation provides valuable insights into elevated levels aquifer, deeper understanding its hydrogeochemical dynamics.

Язык: Английский

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Influence of dissolved and non-aqueous phase toluene on spectral induced polarization signatures of soils

Journal of Hazardous Materials, Год журнала: 2024, Номер 480, С. 135973 - 135973

Опубликована: Сен. 26, 2024

Язык: Английский

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Chemical Characteristics and Water Quality Assessment of Groundwater in the Dongjiang-Hanjiang River Basin, China

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(6), С. 114721 - 114721

Опубликована: Ноя. 8, 2024

Язык: Английский

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Source tracing analysis of the exceedance of NH3-N and CODMn in shallow groundwater in the central typical area of the Yangtze river delta

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 18, 2024

With the accelerated urbanization process in Yangtze River Delta region, shallow groundwater has received increasing attention. In this work, exceedances of ammonium nitrogen (NH3-N) and chemical oxygen demand (CODMn) central typical area were investigated. utilization national monitoring well (QY10A) as a focal point, combination methods, including onsite sampling, hydrogeological surveys, leaching tests, water quality analysis, isotope tracing, was employed to comprehensively examine pollution. The study addressed history exploitation, changes surface quality, influence stratigraphic structure on contamination. It been observed that NH3-N levels silty chalky clay layer lower grayish black are notably elevated, with concentrations reaching up 87.5 mg/kg 97.4 some boreholes. concentration sand can reach high 87.2 mg/kg, whereas is underlying layers. other strata, values remain low. results indicated CODMn QY10A resulted primarily from inherently organic content local geological environment rather than anthropogenic sources such industrial parks, domestic sewage, or agricultural activities. This finding highlights critical role conditions influencing emphasizing necessity considering these natural factors pollution prevention management strategies. Our research provides valuable insights for environmental similar settings demonstrates importance scientifically rigorous methods advancing policy-making.

Язык: Английский

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Spherical Polyelectrolyte Brush Nanoreactor: Preparation of Hollow TiO2 Nanospheres and Characterization by Small Angle X-Ray Scattering

Chinese Journal of Polymer Science, Год журнала: 2024, Номер 42(9), С. 1393 - 1400

Опубликована: Авг. 8, 2024

Язык: Английский

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The new region demarcation framework for implementing the joint prevention and control of groundwater pollution: A case study in western of Bohai Bay, China

Journal of Hazardous Materials, Год журнала: 2024, Номер 478, С. 135565 - 135565

Опубликована: Авг. 18, 2024

Язык: Английский

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