Composition of dissolved organic matter (DOM) in lakes responds to the trophic state and phytoplankton community succession

Water Research, Год журнала: 2022, Номер 224, С. 119073 - 119073

Опубликована: Сен. 10, 2022

Язык: Английский

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Anthropogenic dissolved organic matter accumulation fuels greenhouse gas diffusive emissions in urban lakes along trophic state levels

Process Safety and Environmental Protection, Год журнала: 2024, Номер 186, С. 474 - 485

Опубликована: Апрель 6, 2024

Язык: Английский

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Water level fluctuations shape phytoplankton community in the Xiangxi Bay from Three Gorges Reservoir

Journal of Environmental Sciences, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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Novel insights in seasonal dynamics and co-existence patterns of phytoplankton and micro-eukaryotes in drinking water reservoir, Northwest China: DNA data and ecological model

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159160 - 159160

Опубликована: Окт. 3, 2022

Язык: Английский

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Molecular transformation of dissolved organic matter and formation pathway of humic substances in dredged sludge under aerobic composting

Bioresource Technology, Год журнала: 2022, Номер 364, С. 128141 - 128141

Опубликована: Окт. 17, 2022

Язык: Английский

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Sediment organic carbon dynamics response to land use change in diverse watershed anthropogenic activities

Environment International, Год журнала: 2023, Номер 172, С. 107788 - 107788

Опубликована: Янв. 31, 2023

Sediment organic carbon (SOC) is a precious archive that synthesizes anthropogenic processes remove geochemical fluxes from watersheds. However, the scarcity of inspection about dynamic mechanisms activities on SOC limits understanding into how key human factors drive dynamics. Here, four typical basins with similar natural but significantly diverse contexts (high-moderate-low disturbance: XJ-ZS and YJ-LS) were selected to reconstruct sedimentation rates (SR) dynamics nearly century based 200-cm corers. A partial least squares path model (PLS-PM) was used establish successive (70 years) multiple data (population, agriculture, land use, etc.) quantification methods for SOC. Intensified disturbances shifted all SR pre-stable post-1960s fluctuating increases (total coefficient: high: 0.63 < low: 0.47 medium: 0.45). Although use change co-critical driver variations, their trend extent differed under dams other (SOC mutated in high-moderate stable low). For high basin, changes increased (0.12) reduced (−0.10) downstream Furthermore, mutation corresponded soil erosion due urbanization both periods B. moderate, reversed increase afforestation cropland (−0.19) forest excitation effect deep ploughing, which drought phase B ecological project A. low, Great Leap Forward deforestation period reed sweep A, suggested minor substantially affected (0.16) fragile environments. Overall, revealed terrestrial aquatic ecosystems near centenary, especially use. This constructive agroforestry management reservoir construction, consistent expectations like upstream sequestration stabilization.

Язык: Английский

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Tracking the sources of dissolved organic matter under bio- and photo-transformation conditions using fluorescence spectrum-based machine learning techniques

Environmental Technology & Innovation, Год журнала: 2023, Номер 31, С. 103179 - 103179

Опубликована: Май 3, 2023

Dissolved organic matter (DOM) from various sources can lead to environmental issues such as eutrophication in agricultural watersheds. Effective source-tracking tools are needed implement proper management practices. Fluorescence excitation–emission matrix (EEM) spectroscopy has been widely used probe DOM composition. We explored optimal fluorescence EEM-based machine learning (ML) quantify the proportions of different mixture samples under natural transformation conditions. Bulk were prepared soil and compost at ratios treated simulate biogeochemical transformations. ML models based on all EEM data outperformed those defined indices. The trained support vector regression model (SVR) conventional source tracking method end-member mixing analysis (EMMA) with an R2 0.88 versus 0.83. Among five suitable algorithms tested, SVR explained 90% 85% variability mixture, mean squared errors 0.004 0.007, respectively. predicted capacity revealed a close relationship or causality between specific bulk spectra. technique was not constrained by identification major sources, which is required condition for EMMA method. This study highlights significant potential tracing establishes basis future development data-driven capable multiple even absence possible end-members.

Язык: Английский

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Optical characteristics of dissolved organic matter in relation to phytoplankton in Lake Erhai, China

Process Safety and Environmental Protection, Год журнала: 2024, Номер 186, С. 166 - 175

Опубликована: Апрель 4, 2024

Язык: Английский

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Spectral characteristics of dissolved organic matter in Plateau Lakes: Identifying eutrophication indicators in Southwest China

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102703 - 102703

Опубликована: Июнь 29, 2024

Dissolved organic matter (DOM) acts as a chemical intermediary between terrestrial and lacustrine ecosystems significantly affects the structure function of lakes. The trophic state lakes, driven by input phytoplankton biomass, alters optical properties DOM. From November 2018 to July 2019, we collected 119 water samples from Erhai watershed analyzed them using UV–Vis EEM-PARAFAC study DOM in relation conditions. Our result indicated that tyrosine-like protein (C1), tryptophan-like (C2), humic-like compounds (C3) were among mostly autochthonous components percentage C3 was higher eutrophic lakes than mesotrophic light-eutrophic ultraviolet absorption coefficients at 254 nm (aCDOM(254)) fluorescence intensity 355 (Fn(355)) increased (p < 0.01) with an state. findings indicate influence nutrients environmental factors (such pH temperature) on varies development novel predictive models for assessment largely based significant correlations TSI aCDOM(254) (R2 = 0.762, p Fn(355) 0.705, 0.01). This neural network model facilitates creation fast tool highlighting connection features index. By enabling swift experimental measurements, this offers high-resolution monitoring solution tracking eutrophication plateau rivers.

Язык: Английский

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Aerobic denitrifying using actinobacterial consortium: Novel denitrifying microbe and its application

The Science of The Total Environment, Год журнала: 2022, Номер 859, С. 160236 - 160236

Опубликована: Ноя. 22, 2022

Язык: Английский

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