Similarities and Differences in PM2.5, PM10 and TSP Chemical Profiles of Fugitive Dust Sources in a Coastal Oilfield City in China

被引:31
作者
Kong, Shaofei [1 ,2 ]
Ji, Yaqin [2 ]
Lu, Bing [2 ]
Zhao, Xueyan [2 ,3 ]
Han, Bin [2 ,3 ]
Bai, Zhipeng [2 ,3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Aerosol Cloud Precipitat, China Meteorol Adm, Nanjing 210044, Jiangsu, Peoples R China
[2] Nankai Univ, Coll Environm Sci & Engn, Tianjin 300071, Peoples R China
[3] Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
关键词
Source profile; Fugitive dust; PM2.5; PM10; TSP; BALANCE SOURCE APPORTIONMENT; PARTICULATE MATTER; AREA; INDUSTRIAL;
D O I
10.4209/aaqr.2013.06.0226
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
PM2.5, PM10 and TSP source profiles for road dust, soil dust and re-suspended dust were established by adopting a re-suspension chamber in the coastal oilfield city of Dongying. Thirty-nine elements, nine ions, organic and elemental carbon were analyzed by multiple methods. The results indicate that Ca, Si, OC, Ca2+, Al, Fe and SO42- were the most abundant species for all the three types of dust within the three size fractions. OC/TC ratios were highest for dusts in Dongying when compared with those in the literature, which may be related to the large amounts of oil that is consumed in this area. Na, Mg and Na+ in soil and road dust also exhibited higher mass percentages, indicating the influence of sea salt, as the city is close to the coast. Enrichment factors analysis showed that Cd, Ca, Cu, Zn, Ba, Ni, Pb, Cr, Mg and As were enriched, and these elements were more abundant in finer fractions of the fugitive dust. Similarities of the profiles for different size fractions and different types of dust were compared using the coefficient of divergence (CD). The profiles for different types of dust were different from each other, as the CD values were mostly higher than 0.30. In contrast, the profiles for different size fractions of each dust were similar to each other, with the CD values mostly lower or near to 0.30. From analyzing the relationship between crustal material's mass percentages and the total measured mass percentages of all chemical species, it can be concluded that the sources of road dust and resuspended dust are more complex, especially for fine particles.
引用
收藏
页码:2017 / U291
页数:25
相关论文
共 50 条
  • [41] Chemical nature and predominant sources of PM10 and PM2.5 from multiple sites on the Silk Road, Northwest China
    Zhou, Xi
    Li, Zhongqin
    Zhang, Tinjun
    Wang, Feiteng
    Tao, Yan
    Zhang, Xin
    Wang, Fanglong
    Huang, Ju
    Cheng, Taotao
    Jiang, Huimin
    Zheng, Cunying
    Liu, Feng
    ATMOSPHERIC POLLUTION RESEARCH, 2021, 12 (01) : 425 - 436
  • [42] Source apportionment of ambient PM10 and PM2.5 in Haikou, China
    Fang, Xiaozhen
    Bi, Xiaohui
    Xu, Hong
    Wu, Jianhui
    Zhang, Yufen
    Feng, Yinchang
    ATMOSPHERIC RESEARCH, 2017, 190 : 1 - 9
  • [43] Spatiotemporal variations and risk assessment of ambient air O3, PM10 and PM2.5 in a coastal city of China
    Wang, Lichao
    Xing, Liqun
    Wu, Xiankun
    Sun, Jie
    Kong, Ming
    ECOTOXICOLOGY, 2021, 30 (07) : 1333 - 1342
  • [44] Statistical Modeling for PM10, PM2.5 and PM1 at Gangneung Affected by Local Meteorological Variables and PM10 and PM2.5 at Beijing for Non- and Dust Periods
    Choi, Soo-Min
    Choi, Hyo
    APPLIED SCIENCES-BASEL, 2021, 11 (24):
  • [45] Research on PM2.5, PM10 and PM>10 Chemical Source Profiles for Key Working Processes of Iron and Steel Plant in China
    Gao, Xiang
    Guo, Yang-yang
    Zhu, Ting-yu
    Luo, Lei
    2016 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND ENGINEERING (ESE 2016), 2016, : 466 - 471
  • [46] Spatiotemporal variations and risk assessment of ambient air O3, PM10 and PM2.5 in a coastal city of China
    Lichao Wang
    Liqun Xing
    Xiankun Wu
    Jie Sun
    Ming Kong
    Ecotoxicology, 2021, 30 : 1333 - 1342
  • [47] Receptor modeling of PM2.5, PM10 and TSP in different seasons and long-range transport analysis at a coastal site of Tianjin, China
    Kong, Shaofei
    Han, Bin
    Bai, Zhipeng
    Chen, Li
    Shi, Jianwu
    Xu, Zhun
    SCIENCE OF THE TOTAL ENVIRONMENT, 2010, 408 (20) : 4681 - 4694
  • [48] Spatial and Temporal Variability of the PM2.5/PM10 Ratio in Wuhan, Central China
    Xu, Gang
    Jiao, Limin
    Zhang, Boen
    Zhao, Suli
    Yuan, Man
    Gu, Yanyan
    Liu, Jiafeng
    Tang, Xin
    AEROSOL AND AIR QUALITY RESEARCH, 2017, 17 (03) : 741 - 751
  • [49] Indoor residential and outdoor sources of PM2.5 and PM10 in Nicosia, Cyprus
    Yichen Wang
    Petros Koutrakis
    Antonis Michanikou
    Panayiotis Kouis
    Andrie G. Panayiotou
    Paraskevi Kinni
    Filippos Tymvios
    Andreas Chrysanthou
    Marina Neophytou
    Petros Mouzourides
    Chrysanthos Savvides
    Emily Vasiliadou
    Ilias Papasavvas
    Theodoros Christophides
    Rozalia Nicolaou
    Panayiotis Avraamides
    Choong-Min Kang
    Stefania I. Papatheodorou
    Nicos Middleton
    Panayiotis K. Yiallouros
    Souzana Achilleos
    Air Quality, Atmosphere & Health, 2024, 17 : 485 - 499
  • [50] Indoor residential and outdoor sources of PM2.5 and PM10 in Nicosia, Cyprus
    Wang, Yichen
    Koutrakis, Petros
    Michanikou, Antonis
    Kouis, Panayiotis
    Panayiotou, Andrie G.
    Kinni, Paraskevi
    Tymvios, Filippos
    Chrysanthou, Andreas
    Neophytou, Marina
    Mouzourides, Petros
    Savvides, Chrysanthos
    Vasiliadou, Emily
    Papasavvas, Ilias
    Christophides, Theodoros
    Nicolaou, Rozalia
    Avraamides, Panayiotis
    Kang, Choong-Min
    Papatheodorou, Stefania I.
    Middleton, Nicos
    Yiallouros, Panayiotis K.
    Achilleos, Souzana
    AIR QUALITY ATMOSPHERE AND HEALTH, 2024, 17 (03) : 485 - 499