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首页> 外文期刊>Environmental Science & Technology >First Assessment of NO_X Sources at a Regional Background Site in North China Using Isotopic Analysis Linked with Modeling
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First Assessment of NO_X Sources at a Regional Background Site in North China Using Isotopic Analysis Linked with Modeling

机译：利用同位素分析与建模相结合的方法对华北地区背景站点的NO_X来源进行首次评估

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摘要

Nitrogen oxides (NO_x including NO and NO_2) play an important role in the formation of atmospheric particles. Thus, NO_x emission reduction is critical for improving air quality, especially in severely air-polluted regions (e.g., North China). In this study, the source of NO_x, was investigated by the isotopic composition (δ~(15)N) of particulate nitrate (p-NO_3~-) at Beihuangcheng Island (BH), a regional background site in North China. It was found that the δ~(15)N-NO_3~- (n = 120) values varied between -1.7‰ and +24.0‰ and the δ~(18)O-NO_3~ values ranged from 49.4‰ to 103.9‰. On the basis of the Bayesian mixing model, 27.78 ± 8.89%, 36.53 ± 6.66%, 22.01 ± 6.92%, and 13.68 ± 3.16% of annual NO_x could be attributed to biomass burning, coal combustion, mobile sources, and biogenic soil emissions, respectively. Seasonally, the four sources were similar in spring and fall. Biogenic soil emissions were augmented in summer in association with the hot and rainy weather. Coal combustion increased significantly in winter with other sources showing an obvious decline. This study confirmed that isotope-modeling by δ~(15)N-NO_3~- is a promising tool for partitioning NO_x sources and provides guidance to policymakers with regard to options for NO_x reduction in North China.
机译：氮氧化物（NO_x包括NO和NO_2）在形成大气颗粒中起重要作用。因此，减少NO_x排放对于改善空气质量至关重要，尤其是在空气污染严重的地区（例如华北地区）。在这项研究中，通过在中国北方区域背景站点北皇城岛（BH）的硝酸盐颗粒（p-NO_3〜-）的同位素组成（δ〜（15）N）研究了NO_x的来源。结果表明，δ〜（15）N-NO_3〜-（n = 120）值在-1.7‰至+ 24.0‰之间变化，δ〜（18）O-NO_3〜值在49.4‰至103.9‰之间。根据贝叶斯混合模型，年NO_x的27.78±8.89％，36.53±6.66％，22.01±6.92％和13.68±3.16％可归因于生物质燃烧，煤炭燃烧，流动源和生物土壤排放，分别。从季节上看，四个来源在春季和秋季相似。夏季炎热多雨的天气增加了生物源性土壤的排放。冬季，煤炭燃烧显着增加，其他来源则明显下降。这项研究证实，利用δ〜（15）N-NO_3〜-进行同位素建模是划分NO_x来源的有前途的工具，并为决策者提供了有关在华北地区减少NO_x的选择的指导。

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  • 来源
    《Environmental Science & Technology》 |2017年第11期|5923-5931|共9页
  • 作者

    Zheng Zong; Xiaoping Wang; Chongguo Tian; Yingjun Chen; Yunting Fang; Fan Zhang; Cheng Li; Jianzhong Sun; Jun Li; Gan Zhang;

  • 作者单位

    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China;

    State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, Guangdong 510640, China;

    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China;

    Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai (CMA), College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China;

    Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110164, China;

    Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai (CMA), College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China;

    College of Environmental Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China;

    Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong 264003, China;

    State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, Guangdong 510640, China;

    State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, Guangdong 510640, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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