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使用自组织映射(SOM)方法研究不同水体类型中的溶解有机物(DOM)。

The use of the self-organizing map (SOM) methodology to study the dissolved organic matter (DOM) in different water body types.

机构信息

School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.

School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China E-mail:

出版信息

Water Sci Technol. 2024 Jul;90(1):373-383. doi: 10.2166/wst.2024.219. Epub 2024 Jun 25.

DOI:10.2166/wst.2024.219
PMID:39007325
Abstract

This study investigated the characteristics of dissolved organic matter (DOM) in two distinct water bodies, through the utilization of three-dimensional fluorescence spectroscopy coupled with self-organizing map (SOM) methodology. Specifically, this analysis concentrated on neurons 3, 14, and 17 within the SOM model, identifying notable differences in the DOM compositions of a coal subsidence water body (TX) and the MaChang Reservoir (MC). The humic substance content of DOM TX exceeded that of MC. The origin of DOM in TX was primarily linked to agricultural inputs and rainfall runoff, whereas the DOM in MC was associated with human activities, displaying distinctive autochthonous features and heightened biological activity. Principal component analysis revealed that humic substances dominated the DOM in TX, while the natural DOM in MC was primarily autochthonous. Furthermore, a multiple linear regression model (MLR) determined that external pollution was responsible for 99.11% of variation in the humification index (HIX) of water bodies.

摘要

本研究利用三维荧光光谱结合自组织映射(SOM)方法,研究了两个不同水体中溶解有机物(DOM)的特征。具体来说,本分析集中在 SOM 模型中的神经元 3、14 和 17,确定了采煤沉陷水体(TX)和马畅水库(MC)中 DOM 组成的显著差异。DOM TX 的腐殖质含量高于 MC。TX 中 DOM 的来源主要与农业投入和降雨径流有关,而 MC 中的 DOM 则与人类活动有关,表现出独特的自源特征和较高的生物活性。主成分分析表明,腐殖质物质主导了 TX 中的 DOM,而 MC 中的天然 DOM 主要是自源的。此外,多元线性回归模型(MLR)确定,外部污染是水体腐殖化指数(HIX)变化的 99.11%的原因。

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Water Sci Technol. 2023 Jul;88(1):266-277. doi: 10.2166/wst.2023.187.
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