The air-water heat exchange and water vertical stability in the Xiangxi Bay of Three Gorges Reservoir

Yang, Zhongyong; Zhang, Yachao; Zhengyang, Tang; Ji, Daobin; Yujie, Cui; Li, Changwen; Wu, Jiayang

doi:10.18307/2023.0229

Cited by 1 publication

(1 citation statement)

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“…The incubation samples were shaken a few times per day and lasted for 30 days, and the original samples were regarded as 0‐day samples. An aliquot of 7‐ and 30‐day incubated samples were filtered through 0.22 μm membrane before subsequent analyses, which were designed to mimic the short and long water retention time at the mainstream and tributary of the TGR, respectively (Fang et al., 2023; Xu et al., 2009).…”

Section: Samples and Analytical Methodsmentioning

confidence: 99%

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

Zhao,

Wang,

Jiao

et al. 2024

Geophysical Research Letters

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

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Section: Samples and Analytical Methodsmentioning

confidence: 99%