Application of artificial intelligence in (waste)water disinfection: Emphasizing the regulation of disinfection by-products formation and residues prediction

Water Research, Journal Year: 2024, Volume and Issue: 253, P. 121267 - 121267

Published: Feb. 5, 2024

Language: Английский

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Effects of Cu(II)-DOM complexation on DOM degradation: Insights from spectroscopic evidence

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 170928 - 170928

Published: Feb. 16, 2024

Language: Английский

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Strong associations between dissolved organic matter and microbial communities in the sediments of Qinghai-Tibetan Plateau lakes depend on salinity

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171857 - 171857

Published: March 22, 2024

Language: Английский

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Predicting and refining acid modifications of biochar based on machine learning and bibliometric analysis: Specific surface area, average pore size, and total pore volume

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174584 - 174584

Published: July 6, 2024

Language: Английский

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Machine Learning Models for Evaluating Biological Reactivity Within Molecular Fingerprints of Dissolved Organic Matter Over Time

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(11)

Published: June 1, 2024

Abstract Reservoirs exert a profound influence on the cycling of dissolved organic matter (DOM) in inland waters by altering flow regimes. Biological incubations can help to disentangle role that microbial processing plays DOM within reservoirs. However, complex composition poses great challenge analysis such data. Here we tested if interpretable machine learning (ML) methodologies contribute capturing relationships between molecular reactivity and composition. We developed time‐specific ML models based 7‐day 30‐day simulate biogeochemical processes Three Gorges Reservoir over shorter longer water retention periods, respectively. Results showed extended time likely allows successive degradation molecules, with stochasticity exerting non‐negligible effect at initial stage incubation. This study highlights potential enhancing our interpretation dynamics time.

Language: Английский

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The Hunt for Chemical Dark Matter across a River-to-Ocean Continuum

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(27), P. 11988 - 11997

Published: June 14, 2024

Thousands of mass peaks emerge during molecular characterization natural dissolved organic matter (DOM) using ultrahigh-resolution spectrometry. While assigned to certain formulas have been extensively studied, the uncharacterized that represent a significant fraction and convey biogenic elements energy previously ignored. In this study, we introduce term dark DOM (DDOM) for unassigned explored its characteristics environmental behaviors data set 38 extracts covering Yangtze River-to-ocean continuum. We identified total 9141 DDOM molecules, which exhibited higher weight greater diversity than subset with formulas. Although contributed smaller relative abundance, it significantly impacted composition bulk DOM. A portion was found increase abundance across river-to-ocean These compounds could contain halogenated molecules might high potential contribute refractory carbon pool. With underline contribution pool emphasize more research is needed understand global biogeochemical cycles sequestration.

Language: Английский

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Machine learning for high-precision simulation of dissolved organic matter in sewer: Overcoming data restrictions with generative adversarial networks

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174469 - 174469

Published: July 6, 2024

Language: Английский

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New Insight into the Source Contribution of Dissolved and Particulate Organic Matter in a Typical Macrophyte-Dominated Lake Using Optical Spectroscopy, Stable Isotopes, and FT-ICR MS

ACS ES&T Water, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

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Carbon Isotopic Signatures of Aquifer Organic Molecules along Anthropogenic Recharge Gradients

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

The property of groundwater dissolved organic matter (DOM) subjected to anthropogenic recharge (AGR) might be affected by the water quality disparity between surface and natural groundwater. However, diverse molecular scenarios DOM under uneven recharging levels remain largely unexplored. We combined characteristics, carbon isotopic signatures molecules, end-member mixing analysis explore sensitivity potential tracking capabilities AGR along with gradients. Our findings suggested that enriched diverse, saturated, labile, sulfur-rich amplifying abundance intensity, which intensified Additionally, S-containing molecules their indicators like CHOS% (with threshold values 7.82%) exhibited high predictive power for recognition. major (diversity, saturated degree, stability) indicated 13C-containing were similar whole pool. Notably, specific (C12H10O5S C15H16O12), although not detected in all samples, exhibit robust stability or favorable solubility, rendering them candidates as AGR-sensitive molecules. R13C/12C ratio C19H24O5 emerged most tracer, exhibiting a strong correlation smallest deviation from theoretical line, signifying its optimal suitability precise source apportionment. This study offers novel insights into impacts contributes fostering harmonious balance human activities resource sustainability.

Language: Английский

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Chemical Characteristics of Dissolved Organic Matter in Southeastern China Marginal Seas Are Related to Source and Biogeochemical Processes

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104174 - 104174

Published: April 1, 2025

Language: Английский

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