解读和解释非目标化学数据:以数据驱动的法医工作流程,用于识别接收水中的最突出的化学来源
Cheng Shi1, Corey M G Carpenter2, Damian E Helbling2
1Oregon State University, Department of Biological & Ecological Engineering, Corvallis, Oregon 97331-4501, United States.
Environmental science & technology
|September 5, 2025
概括
这项研究引入了一种基于数据的方法,使用无监督的机器学习来识别水中的化学污染源,减少预定义目标的偏差,并揭示新的环境贡献者,以改善水质管理.
科学领域:
- 环境化学
- 监测水质
- 机器学习应用
背景情况:
- 传统的化学法医工作流程用于识别污染源通常依赖于预定义的目标,从而引入偏差.
- 非目标化学分析提供了更广泛的观点,但需要复杂的解释方法.
- 了解不同的环境来源对于有效的流域管理至关重要.
研究的目的:
- 开发和评估数据驱动的,无监督的机器学习工作流程,以无偏见地识别化学污染源.
- 在解释非目标化学数据时,比较非度量多维缩放 (NMDS) 和非负矩阵因子化 (NMF) 的有效性.
- 发现影响水质的已知和未知来源.
主要方法:
- 收集了来自Fall Creek监测站的每周非目标化学数据.
- 应用非负矩阵分解 (NMF) 来将化学数据分解为不同的因子.
- 使用与流域特征和可疑特征的斯皮尔曼相关性来解释NMF因子.
主要成果:
- 确认已知人为输入,并确定与融雪和地下水漏相关的新来源.
- 检测出化学成分的每年变化,
- 证明NMF能够从复杂的数据中发现不同的化学成分.
结论:
- 拟议的无监督机器学习工作流程有效地减少了来源识别方面的偏差.
- 这种方法可以检测新出现的化学物质,并支持适应性水质管理策略.
- 水域管理者可以利用这种方法在不断变化的环境条件下超越预先定义的水源并保护水资源.
相关概念视频
Mass Spectrometry: Complex Analysis
888
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
888
Qualitative Analysis
674
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
There are two main approaches to qualitative analysis:...
674


