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基于聚类方法下的柴油车排放颗粒物无机元素谱分析

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齐靖宇, 杨柳, 冯谦, 殷小鸽, 陆凯波, 金陶胜. 基于聚类方法下的柴油车排放颗粒物无机元素谱分析[J]. 环境化学, 2020, (5): 1368-1374. doi: 10.7524/j.issn.0254-6108.2019070502
引用本文: 齐靖宇, 杨柳, 冯谦, 殷小鸽, 陆凯波, 金陶胜. 基于聚类方法下的柴油车排放颗粒物无机元素谱分析[J]. 环境化学, 2020, (5): 1368-1374. doi: 10.7524/j.issn.0254-6108.2019070502
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QI Jingyu, YANG Liu, FENG Qian, YIN Xiaoge, LU Kaibo, JIN Taosheng. Study and review on inorganic elements spectrum of diesel particulate matter: Cluster analysis[J]. Environmental Chemistry, 2020, (5): 1368-1374. doi: 10.7524/j.issn.0254-6108.2019070502
Citation: QI Jingyu, YANG Liu, FENG Qian, YIN Xiaoge, LU Kaibo, JIN Taosheng. Study and review on inorganic elements spectrum of diesel particulate matter: Cluster analysis[J]. Environmental Chemistry, 2020, (5): 1368-1374. doi: 10.7524/j.issn.0254-6108.2019070502
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基于聚类方法下的柴油车排放颗粒物无机元素谱分析

  • 1. 南开大学环境科学与工程学院, 天津市城市交通污染防治研究重点实验室, 国家环境保护城市大气颗粒物污染防治重点实验室, 天津, 300350;

  • 2. 中交公路规划设计院有限公司, 北京, 100088;

  • 3. 中国汽车技术研究中心有限公司, 天津, 300300;

  • 4. 天津港保税区环境监测站, 天津, 300308

    • 通讯作者: 金陶胜, E-mail: jints@nankai.edu.cn
  • 基金项目:

    国家重点研发计划专项（2017YFC0212100）和国家自然科学基金面上项目（21477057）资助.

Study and review on inorganic elements spectrum of diesel particulate matter: Cluster analysis

  • 1. Tianjin Key Laboratory of Urban Transport Emission Research, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China;

  • 2. China Communications Highway Planning and Design Institute Co., Ltd., Beijing, 100088, China;

  • 3. China Automotive Technology and Research Center Co., Ltd, Tianjin, 300300, China;

  • 4. Tianjin Port Free Trade Zone Environmental Monitoring Station, Tianjin, 300308, China

    • Corresponding author: JIN Taosheng, jints@nankai.edu.cn
  • Fund Project: Supported by National Key Research and Development Program of China (2017YFC0212100) and National Natural Science Foundation of China (21477057).

  • 摘要: 近年来在大气污染的防治工作中，柴油车污染防治的重要性日渐凸显.本文通过测试和文献检索等方法收集了97组与柴油车排放颗粒物无机元素排放有关的数据，采用k-means均值聚类分析的方法对数据进行分类并对分类结果进行分析，得出柴油车无机元素排放占颗粒物比例的大致区间为：Si（0—4.62%）、Al（0—1.53%）、Ca（0—4.09%）、Na（0—2.61%）、Mg（0—2.68%）、K（0—0.85%）、Fe（0—3.4%）、Zn（0—0.54%）、Cu（0—1.49%）、Ni（0—0.06%），且所得无机元素的排放区间的置信水平均大于94%.同时得到的柴油车排放颗粒物无机元素分析结果，可以为后续柴油车排放颗粒物无机元素数据分析以及相关污染治理提供参考，进而促进我国大气环境质量的改善、更好地保障人们身体健康.
    Abstract: In recent years, the importance of diesel vehicle pollution has become increasingly prominent in air quality control in China. Ninety-seven data related to the emission of inorganic elements from DPM (Diesel Particulate Matter) from our own experiments and also previous references, were collected and classified by k-means cluster analysis. The results showed that the approximate range of inorganic element in DPM were as follow: Si (0-4.62%), Al (0-1.53%), Ca(0-4.09%), Na(0-2.61%), Mg (0-2.68%), K (0- 0.85%), Fe (0-3.4%), Zn (0-0.54%), Cu (0-1.49%), and Ni (0-0.06%).The confidence level of the obtained inorganic element variation range was more than 94%. Our results can be helpful for related future studies of vehicle emission control and health impact assessment.
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  • 收稿日期:  2019-07-05

基于聚类方法下的柴油车排放颗粒物无机元素谱分析

    通讯作者: 金陶胜, E-mail: jints@nankai.edu.cn
  • 1. 南开大学环境科学与工程学院, 天津市城市交通污染防治研究重点实验室, 国家环境保护城市大气颗粒物污染防治重点实验室, 天津, 300350;
  • 2. 中交公路规划设计院有限公司, 北京, 100088;
  • 3. 中国汽车技术研究中心有限公司, 天津, 300300;
  • 4. 天津港保税区环境监测站, 天津, 300308
  • 收稿日期:  2019-07-05
基金项目:

国家重点研发计划专项（2017YFC0212100）和国家自然科学基金面上项目（21477057）资助.

摘要: 近年来在大气污染的防治工作中，柴油车污染防治的重要性日渐凸显.本文通过测试和文献检索等方法收集了97组与柴油车排放颗粒物无机元素排放有关的数据，采用k-means均值聚类分析的方法对数据进行分类并对分类结果进行分析，得出柴油车无机元素排放占颗粒物比例的大致区间为：Si（0—4.62%）、Al（0—1.53%）、Ca（0—4.09%）、Na（0—2.61%）、Mg（0—2.68%）、K（0—0.85%）、Fe（0—3.4%）、Zn（0—0.54%）、Cu（0—1.49%）、Ni（0—0.06%），且所得无机元素的排放区间的置信水平均大于94%.同时得到的柴油车排放颗粒物无机元素分析结果，可以为后续柴油车排放颗粒物无机元素数据分析以及相关污染治理提供参考，进而促进我国大气环境质量的改善、更好地保障人们身体健康.

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