烟台市船舶排放特征及对空气质量的影响

黄渤; 王敏玲; 陈倩; 王晓军; 毕燕茹; 田瑛泽; 王在华; 马佳; 李梅

doi:10.13471/j.cnki.acta.snus.2020.05.15.2020B057

您当前的位置：

首页 >

文章列表页 >

烟台市船舶排放特征及对空气质量的影响

研究论文 | 更新时间：2023-11-01

- 烟台市船舶排放特征及对空气质量的影响
- Mass spectra characteristics of ship emission and its influence on air quality of Yantai City
- 中山大学学报(自然科学版) 2020年59卷第4期页码：98-108
- 作者机构：
  
  1.暨南大学质谱仪器与大气环境研究所，广东广州 510632
  2.山东省烟台环境监测中心，山东烟台 264010
  3.烟台市环境监控中心，山东烟台 264003
  4.广州禾信仪器股份有限公司，广东广州 510530
  5.南开大学环境工程与科学学院，天津 300071
  6.广东省资源综合利用研究所，广东广州 510650
  7.昆山禾信质谱技术有限公司，江苏昆山 215000
- 作者简介：
  
  黄渤（1986年生），男；研究方向：大气颗粒物理化特征及来源解析；E-mail: huangbo0717@hotmail.com
  王在华（1981年生），男；研究方向：环境污染与控制；E-mail: zaihuawang@163.com
- 基金信息：
  
  国家重点研发计划(2018YFE0106900);珠江科技新星专题(201806010064);“广东特支计划”科技创新青年拔尖人才项目(2019TQ05L169);广州经济技术开发区国际科技合作项目(2018GH08);大气重污染成因与治理攻关项目(DQGG0107);广东省国际科技合作专项(2018A050506020);江苏省六大人才高峰项目(JNHB-087)
- DOI：10.13471/j.cnki.acta.snus.2020.05.15.2020B057
  中图分类号： X51
- 纸质出版日期：2020-07-20，
  
  收稿日期：2020-05-15，
扫描看全文
黄渤,王敏玲,陈倩等.烟台市船舶排放特征及对空气质量的影响[J].中山大学学报(自然科学版),2020,59(04):98-108.

HUANG Bo,WANG Mingling,CHEN Qian,et al.Mass spectra characteristics of ship emission and its influence on air quality of Yantai City[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(04):98-108.
黄渤,王敏玲,陈倩等.烟台市船舶排放特征及对空气质量的影响[J].中山大学学报(自然科学版),2020,59(04):98-108. DOI： 10.13471/j.cnki.acta.snus.2020.05.15.2020B057.

HUANG Bo,WANG Mingling,CHEN Qian,et al.Mass spectra characteristics of ship emission and its influence on air quality of Yantai City[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(04):98-108. DOI： 10.13471/j.cnki.acta.snus.2020.05.15.2020B057.

摘要

使用单颗粒气溶胶质谱仪对烟台市3类典型船舶排放的源谱特征进行了分析，结果表明：船用柴油燃烧排放的气溶胶单颗粒以OC、EC类别为主；而重油燃烧中含Fe、V、K、Na等金属元素的类别占比较大，其中含V颗粒占比最大，且粒径主要集中在0.5 ~ 1.1 μm 段；而含Si、Fe、K、Pb等颗粒主要分布在0.8 ~ 1.4 μm粒径段。以含V颗粒作为船舶排放示踪物，对烟台市5个典型站点空气质量受船舶排放影响的分析显示：5站点均明显受到船舶排放的影响，春、夏季影响明显高于秋、冬季；百盛商城和万润化工两个距港口最近的监测点受船舶排放影响最大，春、夏季特定条件下含V颗粒占比接近40%。基于统计数据对烟台市船舶排放PM

2.5

进行估算，2017年烟台市内河和沿海船舶PM

2.5

的排放量约为463.6 t，与机动车尾气排放量相当，因此需要进一步重视船舶尾气排放对本地大气颗粒物的影响。

Abstract

Single-particle aerosol mass spectrometer (SPAMS) was used to analyze the source features of 3 typical ship emissions in Yantai. The results showed that particle classes emitted by marine diesel oil were mostly composed of organic carbon (OC) and elemental carbon (EC)

while those emitted by heavy fuel oil contained larger number of metal-containing particles such as Fe

K and Na. V-containing particle classes accounted for the largest proportion in heavy fuel oil emission

and were mainly concentrated in the small particle size range of 0.5-1.1 μm

while the metal-containing particles such as Si

and Pb were mainly distributed in larger size range of 0.8-1.4 μm. Based on the results

the V-containing particles were used as ship-emission tracer to study the impact of ship emissions on the air quality of 5 typical sites in Yantai. The results revealed that the five sites were obviously affected by ship emissions especially in spring and summer. The two sites Parkson Mall and Wanrun Chemical were the closest to the port

and suffered the most from the ship emissions. Under specific conditions in spring and summer

the V-containing particles proportion could reach up to 40%. Based on the statistical data

the PM

2.5

emitted from inland and coastal ships in Yantai City were estimated to be 463.6 t in 2017

which was of the same order of magnitude as vehicle emission. Further attention should be paid to the impact of ship exhausts on local air quality.

关键词

单颗粒气溶胶质谱PM2.5源谱含V颗粒船舶排放

Keywords

single particle aerosol mass spectrometryPM2.5source profileV-containing particleship emission

references

段菁春, 胡京南, 谭吉华,等. 特征雷达图的设计及其在大气污染成因分析中的应用[J]. 环境科学研究, 2018, 31(08):7-14.

DUAN J C, HU J N, TAN J H, et al. Design of characteristic radar chart and its application in air pollution analysis [J]. Research of Environmental Sciences, 2018, 31 (08):7-14.

SHAO M, TANG X Y, ZHANG Y H, et al. City clusters in China: air and surface water pollution [J]. Frontiers in Ecology & the Environment, 2006, 4(7): 353-361.

自然资源保护协会.中国船舶和港口空气污染防治白皮书[EB/OL]. http://nrdc.cn/Public/uploads/2016-12-04/5843bfb5d0948.pdfhttp://nrdc.cn/Public/uploads/2016-12-04/5843bfb5d0948.pdf.

Natural Resources Defense Council.A white paper on the prevention and control of air pollution from China's ships and ports [EB/OL]. http://nrdc.cn/Public/uploads/2016-12-04/5843bfb5d0948.pdfhttp://nrdc.cn/Public/uploads/2016-12-04/5843bfb5d0948.pdf.

CORBETT J J, WINEBRAKE J J, GREEN E H, et al. Mortality from ship emissions: a global assessment [J]. Environmental Science and Technology , 2007（41）:8512–8518.

CORBETT J J , FISCHBECK P S , PANDIS S N . Global nitrogen and sulfur inventories for oceangoing ships [J]. Journal of Geophysical Research, 1999, 104(D3):3457.

EYRING V. Emissions from international shipping: the last 50 years [J]. Journal of Geophysical Research, 2005, 110(D17):D17305.

周松,肖友洪,朱元清.内燃机排放与污染控制[M].北京:北京航空航天大学出版社,2010:179.

环境保护部机动车排污监控中心.中国船舶大气污染物排放清单报告[EB/OL]. http://www.efchina.org/Reports-zh/report-20170918-3-zhhttp://www.efchina.org/Reports-zh/report-20170918-3-zh.

Vehicle Emission Control Center Ministry of Environmental Protection. Air pollutant emission inventory of marine in China [EB/OL]. http://www.efchina.org/Reports-zh/report-20170918-3-zhhttp://www.efchina.org/Reports-zh/report-20170918-3-zh.

张生光, 鞠美庭, 邵超峰. 我国港口发展中的环境问题及对策分析[J]. 中国环境管理丛书, 2008（1）: 26-29.

ZHANG S G, JU M T, SHAO Y F. Study on the environmental problems and countermeasures in Chinese ports. China [J]. Environmental Management, 2008（1）: 26-29.

张庭发.港口空气污染及防治[J].交通与运输, 2006（6）:44-45.

ZHANG T F. Air pollution and prevention in ports [J]. Traffic and Transportation, 2006（6）: 44-45.

孙伟, 赵同宾, 范建新, 等. 船用柴油机陆上试验大气污染物排放标准现状分析[J]. 柴油机, 2011, 33(4): 34-38.

SUN W, ZHAO T B, FAN J X, et al. Analysis of air pollutants emission standards for land-based testing of marine diesel engine [J]. Diesel Engine, 2011, 33(4): 34-38.

YANG D Q, KWAN S H, LU T, et al. An emission inventory of marine vessels in Shanghai in 2003 [J]. Environmental Science and Technology, 2007（42）: 5183-5190.

伏晴艳, 沈寅, 张健. 上海港船舶大气污染物排放清单研究[J]. 安全与环境学报, 2012, 12(5):57-64.

FU Q Y, SHEN Y, ZHANG J. A Study on the emission inventory of ship air pollutants in Shanghai Port [J]. Journal of Safety and Environment, 2012, 12(5):57⁃64.

刘静, 王静, 宋传真, 等. 青岛市港口船舶大气污染排放清单的建立及应用[J]. 中国环境监测, 2011, 27(3): 50-53.

LIU J, WANG J, SONG C Z, et al. The establishment and application of ship emissions inventory in Qingdao Port [J]. Environmental Monitoring in China, 2011, 27(3): 50-53.

金陶胜, 殷小鸽, 许嘉, 等. 天津港运输船舶大气污染物排放清单[J]. 海洋环境科学, 2009（28）: 623-625.

JING T S, YIN X G, XU J, et al. Air pollutants emission inventory from commercial ships of Tianjin Harbor [J]. Marine Environmental Science, 2009（28）: 623-625.

XIAO Q , LI M , LIU H , et al. Characteristics of marine shipping emissions at berth: profiles for particulate matter and volatile organic compounds[J]. Atmospheric Chemistry & Physics, 2018, 18(13):9527-9545.

ZHOU Y, WANG Z H, PEI C L, et al. Source-oriented characterization of single particles from in-port ship emissions in Guangzhou, China [J]. Science of The Total Environment, 2020（724）: 138179.

张礼俊，郑君瑜，尹沙沙，等. 珠江三角洲非道路移动源排放清单开发[J]. 环境科学, 2010,31(4):886-891.

ZHANG L J, ZHENG J Y, YIN S S, et al. Development of non-road mobile source emission inventory for the Pearl River Delta Region [J]. Environmental Science, 2010,31(4):886-891.

叶斯琪, 郑君瑜, 潘月云, 等. 广东省船舶排放源清单及时空分布特征研究[J]. 环境科学学报, 2014, 34(3): 537-547.

YE S Q, ZHENG J Y, PAN Y Y, et al. Marine emission inventory and its temporal and spatial characteristics in Guangdong Province [J]. Acta Scientiae Circumstantiae, 2014, 34(3): 537-547.

张帆, 陈颖军, 王晓平, 等. 砣矶岛国家大气背景站PM2.5化学组成及季节变化特征 [J]. 地球化学, 2014, 43(4):317-328.

ZHANG F, CHEN Y J, WANG X P, et al. Chemical composition and seasonal variation of PM2.5 in the National Air Background Monitoring Station at Tuoji Island [J]. GEOCHIMICA, 2014, 43(4):317-328.

周静博, 张涛, 李治国, 等. 利用SPAMS构建石家庄市PM2.5固定排放源成分谱库[J]. 河北工业科技, 2015(5):71-78.

ZHOU J B, ZHANG T, LI Z G, et al. Establishment of stationary source spectral library of PM2.5 by SPAMS in Shijiazhuang City [J]. Hebei Journal of Industrial Science and Technology, 2015(5):71-78.

张俊, 吉祝美, 咸月, 等. 大气细颗粒物实时在线源解析技术解析盐城市大气细颗粒物来源 [J]. 污染防治技术, 2015 (2): 18-22.

ZHANG J, JI Z M, XIAN Y, et al. Sources analysis of particulate matter (PM2.5) in ambient air of Yancheng city by mass spectrometry direct measurement on line [J]. Pollution Control Technology, 2015 (2): 18-22.

LI L, HUANG Z, DONG J, et al. Real time bipolar time-of-flight mass spectrometer for analyzing single aerosol particles [J]. International Journal of Mass Spectrometry, 2011, 303 (2): 118-124.

李梅, 李磊, 黄正旭, 等. 运用单颗粒气溶胶质谱技术初步研究广州大气矿尘污染 [J]. 环境科学研究, 2011,24 (6): 632-636.

LI M, LI L, HUANG Z X, et al. Preliminary study of mineral dust particle pollution using a single particle aerosol mass spectrometer (SPAMS) in Guangzhou [J]. Research of Environmental Sciences, 2011,24 (6): 632-636.

SONG X H, HOPKE P K, FERGENSON D P, et al. Classification of single particles analyzed by ATOFMS using an artificial neural network, ART-2a [J]. Analytical Chemistry, 1999（71）: 860-865.

AGRAWAL H , EDEN R , ZHANG X , et al. Primary particulate matter from ocean-going engines in the Southern California Air Basin[J]. Environmental Science & Technology, 2009, 43(14):5398-5402.

HEALY R M, O’CONNOR I P, HELLEBUST S, et al. Characterization of single particles from in-port ship emissions [J]. Atmospheric Environment，2009（43）: 6408-6414.

WEN J, WANG X J, ZHANG Y J, et al. PM2.5 source profiles and relative heavy metal risk of ship emissions: Source samples from diverse ships, engines, and navigation processes [J]. Atmospheric Environment, 2018（191）: 55-63.

交通运输部.珠三角、长三角、环渤海（京津冀）水域船舶排放控制区实施方案[EB/OL]. http://www.mot.gov.cn/2016wangshangzhibo/2016zhuanti2/xiangguanlianjie/201602/t20160201_1984227.htmlhttp://www.mot.gov.cn/2016wangshangzhibo/2016zhuanti2/xiangguanlianjie/201602/t20160201_1984227.html.

Ministry of Transport of the People’s Republic of China.Implementation plan for ship emission control zones in the Pearl River Delta, Yangtze River Delta, and Bohai Rim (Beijing, Tianjin and Hebei) water aeras [EB/OL]. http://www.mot.gov.cn/2016wangshangzhibo/2016zhuanti2/xiangguanlianjie/201602/t20160201_1984227.htmlhttp://www.mot.gov.cn/2016wangshangzhibo/2016zhuanti2/xiangguanlianjie/201602/t20160201_1984227.html.

中华人民共和国生态环境部.非道路移动源大气污染物排放清单编制指南（试行）[EB/OL]. http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htmhttp://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm.

Ministry of Ecology and Environment of the People’s Republic of China. Guidelines for compiling inventory of non-road mobile source air pollutants (trial) [EB/OL]. http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htmhttp://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm.

烟台市统计局.2018年烟台统计年鉴[EB/OL]. http://tjj.yantai.gov.cn/art/2019/1/30/art_118_2363456.htmlhttp://tjj.yantai.gov.cn/art/2019/1/30/art_118_2363456.html.

Yantai Statistics Bureau.Yantai statistical yearbook 2018 [EB/OL]. http://tjj.yantai.gov.cn/art/2019/1/30/art_118_2363456.htmlhttp://tjj.yantai.gov.cn/art/2019/1/30/art_118_2363456.html.

交通运输部.2017年规模以上港口货物、旅客吞吐量快报数据[EB/OL]. http://xxgk.mot.gov.cn/jigou/zhghs/201801/t20180129_2984076.htmlhttp://xxgk.mot.gov.cn/jigou/zhghs/201801/t20180129_2984076.html.

Ministry of Transport of the People’s Republic of China. Cargo and passenger throughput express data for ports above designated size in 2017 [EB/OL]. http://xxgk.mot.gov.cn/jigou/zhghs/201801/t20180129_2984076.htmlhttp://xxgk.mot.gov.cn/jigou/zhghs/201801/t20180129_2984076.html.

孙世达, 姜巍, 高卫东. 青岛市机动车排放清单与空间分布特征 [J]. 中国环境科学, 2017, 37(1):49-59.

SUN S D, JIANG W, GAO W D. Vehicle emission inventory and spatial distribution in Qingdao [J]. China Environmental Science, 2017, 37(1):49-59.

CHEN D, WANG X, NELSON P, et al. Ship emission inventory and its impact on the PM2.5 air pollution in Qingdao Port, North China [J]. Atmospheric Environment, 2017（166）: 351-361.

青岛统计局. 2018年青岛统计年鉴[EB/OL]. http://qdtj.qingdao.gov.cn/n28356045/n32561056/n32561073/n32565483/181017170033770738.htmlhttp://qdtj.qingdao.gov.cn/n28356045/n32561056/n32561073/n32565483/181017170033770738.html.

Qingdao Statistics Bureau. Qingdao statistical yearbook 2018 [EB/OL]. http://qdtj.qingdao.gov.cn/n28356045/n32561056/n32561073/n32565483/181017170033770738.htmlhttp://qdtj.qingdao.gov.cn/n28356045/n32561056/n32561073/n32565483/181017170033770738.html.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据