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The use of the self-organizing map (SOM) methodology to study the dissolved organic matter (DOM) in different water body types.
Song, Han; Gao, Liangmin; Li, Xiaolong; Zhang, Kai; Xia, Jieyu; Shu, Xin; Wu, Lin.
Afiliación
  • Song H; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
  • Gao L; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China E-mail: lmgao@aust.edu.cn.
  • Li X; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
  • Zhang K; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
  • Xia J; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
  • Shu X; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
  • Wu L; School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Water Sci Technol ; 90(1): 373-383, 2024 Jul.
Article en En | MEDLINE | ID: mdl-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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sustancias Húmicas Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sustancias Húmicas Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido