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Updated: May 10, 2025

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机器学习在西藏高原东南部土壤重金属污染评估中的应用

Yan Li1, Yilong Yu2, Shiyuan Ding3

  • 1Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China.

Scientific reports
|April 19, 2025
PubMed
概括

在西藏高原,重金属 (HM) 污染正在上升. 这项研究使用机器学习和先进的方法来绘制HM风险,识别农业和交通等来源,并揭示空间相互作用,以改善生态管理.

关键词:
比利萨的分析分析在HM的源代码中,HM是源代码.改善了潜在的生态风险指数.相互作用风险 相互作用风险自组织地图 自组织地图

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相关概念视频

Voltammetry: Stripping Methods01:13

Voltammetry: Stripping Methods

Anodic Stripping Voltammetry (ASV), Cathodic Stripping Voltammetry (CSV), and Adsorptive Stripping Voltammetry (AdSV) are electrochemical techniques used to determine trace amounts of analytes in solution. These methods involve applying a potential to an electrode and measuring the resulting current.
Anodic Stripping Voltammetry (ASV)
ASV is used to determine metals and metalloids at trace levels. It involves two steps: deposition and stripping. First, a negative potential is applied to the...
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