用光光谱学与高斯特征提取方法识别和量化地下水中低度的和二烯
Yuxi Jiang1, Ruifang Yang2, Nanjing Zhao3
1Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Science Island Branch, Graduate School of University of Science and Technology of China, Hefei 230026, China.
概括
这项研究引入了一种使用光谱和高斯特征提取来检测地下水中的和烯的新方法. 该方法显著提高了识别和量化这些危险污染物的准确性.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 地下水因和等工业化学品而受到污染,对淡水资源构成重大威胁.
- 早期和准确地检测低度污染物对于水质管理和公共卫生至关重要.
- 现有的检测方法可能缺乏复杂环境样本所需的灵敏度或特异性.
研究的目的:
- 开发和验证一种用于在地下水中同时识别和量化和的新方法.
- 通过高斯特征提取来提高光谱的性能,以改善污染物检测.
- 为了比较高斯特征提取与PCA和峰值采集等其他方法的有效性.
主要方法:
- 测量光刺激-发射矩阵 (EEM) 和的光谱.
- 用高斯函数从EEM光谱中提取特征的应用.
- 使用支向量机 (SVM) 进行定性识别和部分最小平方 (PLS) 回归进行定量分析.
主要成果:
- 高斯特征提取显著改善了识别和量化性能.
- 在单个成分识别方面达到95.24%的准确性,在混合物识别方面达到90%.
- 定量分析显示,较高度的平均相对误差约为10%,较低度的enol (1μg/L) 误差约为30%.
结论:
- 拟议的光光谱学与高斯特征提取相结合,提供了一种可靠和敏感的方法,用于检测地下水中低度的和.
- 这种方法为环境监测和防止化学污染提供了有价值的工具.
- 该方法显示了早期预警系统和地下水质量的有效管理的巨大潜力.
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