Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple feature engineering and optimization methods: A case study in China

Ecological Indicators, Год журнала: 2023, Номер 146, С. 109845 - 109845

Опубликована: Янв. 2, 2023

Dissolved oxygen (DO) is an essential indicator for assessing water quality and managing aquatic environments, but it still a challenging topic to accurately understand predict the spatiotemporal variation of DO concentrations under complex effects different environmental factors. In this study, practical prediction framework was proposed based on support vector regression (SVR) model coupling multiple intelligence techniques (i.e., four data denoising techniques, three feature selection rules, hyperparameter optimization methods). The holistic tested using matrix (17,532 observation in total) 12 indicators from vital monitoring stations longest inter-basin diversion project world Middle-Route South-to-North Water Diversion Project China), during year 2017 2020 period. results showed that we advocated could successfully concentration variations geographical locations. used "wavelet analysis–LASSO regression–random search–SVR" combination Waihuanhe station has best performance, with Root Mean Square Error (RMSE), (MSE), Absolute (MAE), coefficient determination (R2) values 0.251, 0.063, 0.190, 0.911, respectively. combined methods can significantly promote robustness accuracy provide new universal way investigating understanding drivers variations. For management department, comprehensive also identify reveal key parameters should be concerned monitored factors change. More studies terms potential integrated risk multi-indicators mega projects and/or similar bodies are required future.

Язык: Английский

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Unveiling Microbial Nitrogen Metabolism in Rivers using a Machine Learning Approach

Environmental Science & Technology, Год журнала: 2024, Номер 58(15), С. 6605 - 6615

Опубликована: Апрель 3, 2024

Microbial nitrogen metabolism is a complicated and key process in mediating environmental pollution greenhouse gas emissions rivers. However, the interactive drivers of microbial rivers have not been identified. Here, we analyze patterns 105 China driven by 26 socioeconomic factors using an interpretable causal machine learning (ICML) framework. ICML better recognizes complex relationships between than traditional linear regression models. Furthermore, tipping points concentration windows were proposed to precisely regulate metabolism. For example, concentrations dissolved organic carbon (DOC) below 6.2 4.2 mg/L easily reduce bacterial denitrification nitrification, respectively. The for NO3–-N (15.9–18.0 mg/L) DOC (9.1–10.8 enabled highest abundance denitrifying bacteria on national scale. integration models field data clarifies important metabolism, supporting precise regulation river ecological management.

Язык: Английский

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Aromatic compounds releases aroused by sediment resuspension alter nitrate transformation rates and pathways during aerobic-anoxic transition

Journal of Hazardous Materials, Год журнала: 2021, Номер 424, С. 127365 - 127365

Опубликована: Сен. 29, 2021

Язык: Английский

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Groundwater table fluctuation: A driving force affecting nitrogen transformation in nitrate-contaminated groundwater

Journal of Hydrology, Год журнала: 2023, Номер 621, С. 129606 - 129606

Опубликована: Май 1, 2023

Язык: Английский

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Bacterial community are more susceptible to nanoplastics than algae community in aquatic ecosystems dominated by submerged macrophytes

Water Research, Год журнала: 2023, Номер 232, С. 119717 - 119717

Опубликована: Фев. 8, 2023

Язык: Английский

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Enhanced nitrate removal efficiency and microbial response of immobilized mixed aerobic denitrifying bacteria through biochar coupled with inorganic electron donors in oligotrophic water

Bioresource Technology, Год журнала: 2024, Номер 396, С. 130457 - 130457

Опубликована: Фев. 16, 2024

Язык: Английский

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Multi-omics signatures reveal genomic and functional heterogeneity of Cutibacterium acnes in normal and diseased skin

Cell Host & Microbe, Год журнала: 2024, Номер 32(7), С. 1129 - 1146.e8

Опубликована: Июнь 26, 2024

Язык: Английский

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New insights into microbial community for simultaneous removal of carbon and nitrogen via heterotrophic nitrification aerobic denitrification process

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(3), С. 112896 - 112896

Опубликована: Апрель 25, 2024

Язык: Английский

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Effect of carbon source on carbon and nitrogen metabolism of common heterotrophic nitrification-aerobic denitrification pathway

Chemosphere, Год журнала: 2024, Номер 361, С. 142525 - 142525

Опубликована: Июнь 3, 2024

Язык: Английский

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Transformation fate of bisphenol A in aerobic denitrifying cultures and its coercive mechanism on the nitrogen transformation pathway

Environmental Research, Год журнала: 2025, Номер unknown, С. 120816 - 120816

Опубликована: Янв. 1, 2025

Язык: Английский

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