Chemical characteristics and sources of ambient PM2.5 in a harbor area: Quantification of health risks to workers from source-specific selected toxic elements

被引:21
作者
Liu, Baoshuang [1 ,2 ]
Wu, Jianhui [1 ,2 ]
Wang, Jing [3 ]
Shi, Laiyuan [3 ]
Meng, He [3 ]
Dai, Qili [1 ,2 ]
Wang, Jiao [4 ]
Song, Congbo [5 ]
Zhang, Yufen [1 ,2 ]
Feng, Yinchang [1 ,2 ]
Hopke, Philip K. [6 ,7 ]
机构
[1] Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300350, Peoples R China
[2] Nankai Univ, Coll Environm Sci & Engn, Tianjin Key Lab Urban Transport Emiss Res, Tianjin 300350, Peoples R China
[3] Qingdao Ecol & Environm Monitoring Ctr Shandong P, Qingdao 266003, Peoples R China
[4] Ocean Univ China, Coll Environm Sci & Engn, Key Lab Marine Environm Sci & Ecol, Minist Educ, Qingdao 266100, Shandong, Peoples R China
[5] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
[6] Clarkson Univ, Ctr Air Resources Engn & Sci, Potsdam, NY 13699 USA
[7] Univ Rochester, Dept Publ Hlth Sci, Sch Med & Dent, Rochester, NY 14642 USA
基金
中国博士后科学基金;
关键词
Cancer risks; Non-cancer risks; Source apportionment; PSCF; POSITIVE MATRIX FACTORIZATION; SOURCE APPORTIONMENT; HEAVY-METALS; SHIP EMISSIONS; PARTICULATE MATTER; RESIDENTIAL AREA; CITY; CHINA; URBAN; PM10;
D O I
10.1016/j.envpol.2020.115926
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Samples of ambient PM2.5 were collected in the Qingdao harbor area between 21 March and May 25, 2016, and analyzed to investigate the compositions and sources of PM2.5 and to assess source-specific selected toxic element health risks to workers via a combination of positive matrix factorization (PMF) and health risk (HR) assessment models. The mean concentration of PM2.5 in harbor area was 48 mg m(-3) with organic matter (OM) dominating its mass. Zn and V concentrations were significantly higher than the other selected toxic elements. The hazard index (HI) and cancer risk (R-i) of all selected toxic elements were lower than the United States Environmental Protection Agency (USEPA) limits. There were no noncancer and cancer risks for workers in harbor area. The contributions from industrial emissions (IE), ship emissions (SE), vehicle emissions (VE), and crustal dust and coal combustion (CDCC) to selected toxic elements were 39.0%, 12.8%, 24.0%, and 23.0%, respectively. The HI values of selected toxic elements from IE, CDCC, SE, and VE were 1.85 x 10(-1), 7.08 x 10(-2), 6.36 x 10(-2), and 3.37 x 10(-2), respectively; these are lower than the USEPA limits. The total cancer risk (Rt) value from selected toxic elements in CDCC was 2.04 x 10(-7), followed by IE (6.40 x 10(-8)), SE (2.26 x 10(-8)), and VE (2.18 x 10(-8)). CDCC and IE were the likely sources of cancer risk in harbor area. The Bo Sea and coast were identified as the likely source areas for health risks from IE via potential source contribution function (PSCF) analysis based on the results of PMF-HR modelling. Although the source-specific health risks were below the recommended limit values, this work illustrates how toxic species in PM2.5 health risks can be associated with sources such that control measures could be undertaken if the risks warranted it. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:10
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共 79 条
[11]   2013 Southeast Asian Smoke Haze: Fractionation of Particulate-Bound Elements and Associated Health Risk [J].
Betha, Raghu ;
Behera, Sailesh N. ;
Balasubramanian, Rajasekhar .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (08) :4327-4335
[12]   PM10 source apportionment applying PMF and chemical tracer analysis to ship-borne measurements in the Western Mediterranean [J].
Bove, M. C. ;
Brotto, P. ;
Calzolai, G. ;
Cassola, F. ;
Cavalli, F. ;
Fermo, P. ;
Hjorth, J. ;
Massabo, D. ;
Nava, S. ;
Piazzalunga, A. ;
Schembari, C. ;
Prati, P. .
ATMOSPHERIC ENVIRONMENT, 2016, 125 :140-151
[13]   Burn wood influence on outdoor air quality in a small village: Foros de Arro, Portugal [J].
Canha, N. ;
Freitas, M. C. ;
Almeida-Silva, M. ;
Almeida, S. M. ;
Dung, H. M. ;
Dionisio, I. ;
Cardoso, J. ;
Pio, C. A. ;
Caseiro, A. ;
Verburg, T. G. ;
Wolterbeek, H. Th. .
JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2012, 291 (01) :83-88
[14]   Source apportionment of PM2.5 in the harbour-industrial area of Brindisi (Italy): Identification and estimation of the contribution of in-port ship emissions [J].
Cesari, D. ;
Genga, A. ;
Ielpo, P. ;
Siciliano, M. ;
Mascolo, G. ;
Grasso, F. M. ;
Contini, D. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 497 :392-400
[15]   Evaluation of different control measures in 2014 to mitigate the impact of ship emissions on air quality in the Pearl River Delta, China [J].
Chen, Dongsheng ;
Zhang, Ying ;
Lang, Jianlei ;
Zhou, Ying ;
Li, Yue ;
Guo, Xiurui ;
Wang, Wenlin ;
Liu, Bo .
ATMOSPHERIC ENVIRONMENT, 2019, 216
[16]   Ship emission inventory and its impact on the PM2.5 air pollution in Qingdao Port, North China [J].
Chen, Dongsheng ;
Wang, Xiaotong ;
Nelson, Peter ;
Li, Yue ;
Zhao, Na ;
Zhao, Yuehua ;
Lang, Jianlei ;
Zhou, Ying ;
Guo, Xiurui .
ATMOSPHERIC ENVIRONMENT, 2017, 166 :351-361
[17]   Estimating ship emissions based on AIS data for port of Tianjin, China [J].
Chen, Dongsheng ;
Zhao, Yuehua ;
Nelson, Peter ;
Li, Yue ;
Wang, Xiaotong ;
Zhou, Ying ;
Lang, Jianlei ;
Guo, Xiurui .
ATMOSPHERIC ENVIRONMENT, 2016, 145 :10-18
[18]   Spatial distribution and risk assessment of metals in dust based on samples from nursery and primary schools of Xi'an, China [J].
Chen, Hao ;
Lu, Xinwei ;
Li, Loretta Y. .
ATMOSPHERIC ENVIRONMENT, 2014, 88 :172-182
[19]   Source apportionment of PM2.5 at the coastal area in Korea [J].
Choi, Jong-kyu ;
Heo, Jong-Bae ;
Ban, Soo-Jin ;
Yi, Seung-Muk ;
Zoh, Kyung-Duk .
SCIENCE OF THE TOTAL ENVIRONMENT, 2013, 447 :370-380
[20]   Inter-annual trend of the primary contribution of ship emissions to PM2.5 concentrations in Venice (Italy): Efficiency of emissions mitigation strategies [J].
Contini, Daniele ;
Gambaro, Andrea ;
Donateo, Antonio ;
Cescon, Paolo ;
Cesari, Daniela ;
Merico, Eva ;
Belosi, Franco ;
Citron, Marta .
ATMOSPHERIC ENVIRONMENT, 2015, 102 :183-190