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太原秋季大气PM2.5中糖类物质的组成及来源解析
引用本文:史乃金,高博,郭送军,刘明,卢清,何秋生,赵伟,黄绪,张智胜,陶俊,陈来国.太原秋季大气PM2.5中糖类物质的组成及来源解析[J].环境科学学报,2020,40(1):83-89.
作者姓名:史乃金  高博  郭送军  刘明  卢清  何秋生  赵伟  黄绪  张智胜  陶俊  陈来国
作者单位:广西大学资源环境与材料学院,南宁530004;生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,广西大学资源环境与材料学院,南宁530004,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,太原科技大学环境与安全学院,太原030024,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655,生态环境部华南环境科学研究所,国家环境保护城市生态环境模拟与保护重点实验室,广州510655
基金项目:国家自然科学基金面上项目(No.41573123,41773130,41773127)
摘    要:糖类物质是一类重要的生物标志物,可用于大气颗粒物的来源识别.采用高效阴离子交换色谱-脉冲安培检测法(HPAEC-PAD)于2018年秋季对山西太原PM_(2.5)中的糖类物质进行定量分析.结果表明,此次检测共检出8种糖类物质,包括4种糖醇(肌醇、赤藓糖醇、阿拉伯糖醇、甘露糖醇)、3种脱水糖(左旋葡聚糖、甘露聚糖、半乳聚糖)和1种单糖(葡萄糖).3种脱水糖总浓度明显大于其他糖类,且与PM_(2.5)之间呈显著相关性(r=0.74、0.59、0.99),表明生物质燃烧对太原地区PM_(2.5)有明显贡献.应用正定矩阵因子分解模型(PMF5.0)进行源解析发现,太原秋季(9月)PM_(2.5)中的糖类物质主要来源于生物质燃烧、花粉和植物碎屑、真菌孢子和土壤灰尘4类.同时应用特征分子比值并结合太原地区农业生产情况识别出太原市的生物质燃烧源主要为硬木和作物残渣的混合贡献.

关 键 词:太原  秋季  糖类物质  PM2.5  生物质燃烧
收稿时间:2019/5/21 0:00:00
修稿时间:2019/7/3 0:00:00

Compositions and sources of carbohydrates in PM2.5 in September of Taiyuan
SHI Naijin,GAO Bo,GUO Songjun,LIU Ming,LU Qing,HE Qiusheng,ZHAO Wei,HUANG Xu,ZHANG Zhisheng,TAO Jun and CHEN Laiguo.Compositions and sources of carbohydrates in PM2.5 in September of Taiyuan[J].Acta Scientiae Circumstantiae,2020,40(1):83-89.
Authors:SHI Naijin  GAO Bo  GUO Songjun  LIU Ming  LU Qing  HE Qiusheng  ZHAO Wei  HUANG Xu  ZHANG Zhisheng  TAO Jun and CHEN Laiguo
Institution:1. School of Resources, Environment and Materials, Guangxi University, Nanning 530004;2. State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,School of Resources, Environment and Materials, Guangxi University, Nanning 530004,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,School of Environment and Safety, Taiyuan University of Science and Technology, Taiyuan 030024,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655,State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655 and State Environmental Protection Key Laboratory of Urban Environment & Ecology, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655
Abstract:Sugars are important bio-markers for source identification of atmospheric particulates. High-efficiency anion exchange chromatography-pulse amperometric detection(HPAEC-PAD) was used to quantitatively analyze the composition of carbohydrates in PM2.5 during September in Taiyuan. Eight sugar substances were measured, including 4 sugar alcohols (i.e. inositol,erythritol,arabitol and mannitol), 3 anhydrosugars (i.e. levoglucosan,mannosan and galactosan) and 1 monosaccharide (glucose). The concentrations of anhydrosugars were significantly higher than those of other sugar concentrations and were well correlated with PM2.5 mass levels (r=0.74,0.59 and 0.99,respectively). In addition, source analysis by PMF5.0 model showed that PM2.5-borne sugars in Taiyuan were mainly from biomass burning, pollen and plant debris, fungal spores and soil dust. According to characteristic molecular ratios together with the local agriculture production situations, the mixture of hardwood and crop residues were concluded as the main biomass combustion sources in Taiyuan.
Keywords:Taiyuan  autumn  sugars  PM2  5  biomass burning
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