通过机器学习洞察VOCs源资料:共同点在协同污染控制中的作用
Shuwei Zhang1, Song Gao1, Bo Wang1
1School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China.
Journal of hazardous materials
|April 12, 2025
概括
这项研究确定了化学集群中常见的挥发性有机化合物 (VOC) 排放模式,揭示了488种新物种. 机器学习确定了用于高效,协作污染控制的关键VOC因子组.
科学领域:
- 环境化学环境化学
- 大气科学 大气科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 对于低碳和成本有效的污染控制策略的需求日益增长.
- 需要了解工业集群内的挥发性有机化合物 (VOC) 源资料中的共同点.
- 建立和更新全面的VOC源资料以有效管理排放的现有挑战.
研究的目的:
- 分析化学工业集群中VOCs的常见污染特征和排放行为.
- 确定VOC源资料中的共同点,以共同减少排放.
- 根据确定的共同特征和光化学反应性,开发有效的VOC控制方法.
主要方法:
- 分析了14个行业的近200个销售点的VOC排放.
- 确定了593种挥发性有机物,其中包括488种新物种.
- 应用机器学习 (ML) 来模拟最大增量反应率 (MIR) 值并识别VOC因子组.
主要成果:
- 发现了488种新的VOC物种,占检测到的最高度的91%.
- 在各种工业来源中,不同组件和异构体的相同排放行为被揭示出来.
- 与其他研究相比,确定了占排放量的75%-80%的占主导地位的VOC因子组,平均有28%的高氧化挥发性有机化合物 (OVOC) 百分比.
结论:
- 该研究提供了一种有效的VOC控制方法,通过确定共同特征和利用ML.
- 这些发现支持协同减少排放的趋势,并减少了大规模来源配置文件建立的低效率.
- 已确定的VOC因子组为化学工业集群的排放管理提供了有针对性的方法.
更多相关视频
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
12.9K
08:43PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
Published on: May 11, 2017
12.3K
相关概念视频
Bioremediation
18.1K
Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
18.1K
Response Surface Methodology
73
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
73
Mass Analyzers: Common Types
526
The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
526
Mass Analyzers: Overview
538
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
538
Contaminants and Errors
80
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Another key consideration is determining the appropriate number of samples required to...
80
Classification of Systems-I
161
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
161
