首页> 外文期刊>Atmospheric research >PM_(2.5) in Abuja, Nigeria: Chemical characterization, source apportionment, temporal variations, transport pathways and the health risks assessment
【24h】

PM_(2.5) in Abuja, Nigeria: Chemical characterization, source apportionment, temporal variations, transport pathways and the health risks assessment

机译:尼日利亚阿布贾的PM_(2.5):化学特性,来源分配,时间变化,运输途径和健康风险评估

获取原文
获取原文并翻译 | 示例
       

摘要

Due to rapid industrial development and urbanization, Abuja is characterized with poor and deteriorated air quality. The level of PM(2.5 )concentrations in Abuja is very high and above the statutory limits; however, the high levels of pollution in Lugbe do not seem to be consistent with local emission sources. This study analyzed the chemical composition of PM2.5 to perform source identification and contributions in Lugbe, Abuja, Nigeria. Sampling in 2016 provided 246 PM2.5 samples at 2 sites across all the four months of sampling. The highest ambient PM2.5 concentration (142 pg m(-3)) was recorded in winter while the lowest (84 pg m -3 ) was observed in summer. Chemical mass closure suggested that dust (40.5%) contributed most of the PM2.5 mass. Source apportionment of PM2.5 was performed using positive matrix factorization (PMF) model and six sources were identified. They include mineral dust, crustal dust, vehicle exhaust, secondary nitrate, secondary sulfate, and industrial sources. Crustal dust, vehicle exhaust, and secondary sulfate were the major sources of ambient PM2.5 in Lugbe, contributing 33.3, 29.8, and 18.0%, respectively. The results of 120-h backward trajectories showed that external northeastern region was more dominant in January, while during the remaining three months, southwesterly winds prevailed. The results of bivariate polar plots for most of the factors showed the influence of the southern areas of Lugbe. The study found that there was long-range regional transport of PM2.5 into Lugbe area throughout the four months. Risk assessments revealed that ingestion route was the major exposure pathway for both children and adults. Non-carcinogenic and carcinogenic risk levels were below the acceptable threshold limits. Finally, the results of this study have shown that ambient air quality in Lugbe can be substantially improved by reducing the emissions from crustal dust, vehicle exhaust, and secondary sulfate sources in the external southern regions.
机译:由于工业的快速发展和城市化,阿布贾的空气质量差且恶化。阿布贾的PM(2.5)浓度很高,超过了法定限值;但是,卢格贝的高污染水平似乎与当地的排放源不一致。这项研究分析了PM2.5的化学成分,以在尼日利亚阿布贾的卢格贝进行来源识别和贡献。在整个四个月的采样中,2016年的采样在两个地点提供了246个PM2.5采样。冬季记录的最高PM2.5浓度(142 pg m(-3)),而夏季记录的最低(2.5 pg m -3)。化学物质封闭表明,粉尘(40.5%)占了PM2.5的大部分。使用正矩阵分解(PMF)模型对PM2.5进行源分配,并确定了六个源。它们包括矿物粉尘,地壳粉尘,汽车尾气,二次硝酸盐,二次硫酸盐和工业来源。在卢格,地壳粉尘,汽车尾气和二次硫酸盐是环境PM2.5的主要来源,分别占33.3%,29.8%和18.0%。向后120小时的轨迹结果显示,东北地区1月份更占优势,而在剩下的3个月中,西南风盛行。大多数因素的双变量极坐标图结果显示了卢贝南部地区的影响。研究发现,在过去的四个月中,PM2.5进入了卢贝地区的远程区域性运输。风险评估表明,摄入途径是儿童和成人的主要接触途径。非致癌和致癌风险水平低于可接受的阈值限值。最后,这项研究的结果表明,通过减少南部外部地区地壳粉尘,汽车尾气和二次硫酸盐来源的排放,可以大大改善卢格的环境空气质量。

著录项

  • 来源
    《Atmospheric research》 |2020年第6期|104833.1-104833.14|共14页
  • 作者

  • 作者单位

    Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China|Chinese Acad Sci Huairou Ecoenvironm Observ Beijing 101408 Peoples R China;

    Clarkson Univ Ctr Air Resources Engn & Sci Potsdam NY 13699 USA|Univ Rochester Dept Publ Hlth Sci Sch Med & Dent Rochester NY 14642 USA;

    Univ Wisconsin Wisconsin State Lab Hyg Madison WI 53706 USA|Univ Wisconsin Environm Chem & Technol Program Madison WI 53705 USA;

    Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China|Chinese Acad Sci Huairou Ecoenvironm Observ Beijing 101408 Peoples R China|Chinese Acad Sci CAS Ctr Excellence Reg Atmospher Environm Xiamen 361021 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Source apportionment; Regional long-range transport; PMF; Heavy metals; Health risks; Abuja;

    机译:来源分配;区域远程运输;PMF;重金属;健康风险;阿布贾;
  • 入库时间 2022-08-18 05:19:12

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号