郑州市氧化铝工业炉窑污染物及源谱特征

摘要
图/表
参考文献(39)
相关文章 (10)

全文: PDF (524 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要

采用稀释通道采样法对郑州市一家拜耳法氧化铝企业及一家α-氧化铝企业的PM_2.5、PM₁₀样品进行采集，利用烟气分析仪检测SO₂和NO_x气体的质量浓度.对颗粒物样品中的38种化学组分进行分析，构建相应的源成分谱，运用分歧系数（CD）和组分差异权重分布函数R/U对其特征进行对比研究.结果表明：α-氧化铝源谱中以Cl^-为主（质量分数18.29%~25.21%），拜耳法氧化铝源谱中以OC和NO₃^-为主（质量分数9.01%~41.87%）.源谱间的分歧系数（CD）显示，同一种生产工艺两种粒径间的源谱比较相似，相同粒径的两种生产工艺之间的源谱差异较大.R/U值对比结果显示，EC、Ca、F^-和Cl^- 4种元素可作为区分两种氧化铝生产工艺的标识组分.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	靳孟洁
	张轶舜
	赵金帅
	何瑞东
	张瑞芹
	燕启社

关键词 ：氧化铝, 工业炉窑, 源成分谱, 分歧系数, 标识组分

Abstract：

The PM_2.5 and PM₁₀ samples of a Bayer process alumina company and an α-alumina enterprise in Zhengzhou City were collected by thedilution channel sampling method, the mass concentration of SO₂ and NO_x were detected by a flue gas analyzer. The 38chemical components in the particulate samples were analyzed to identify source profiles. Using the coefficient of divergence (CD) and the component difference weight distribution function R/U for a comparative study of the source profiles characteristics. The dominant composition of PM_2.5 and PM₁₀ in α-alumina plant profiles was Cl^-, with the percentage ranging from 18.29% to 25.21%. The Bayer process alumina sourceprofileswas dominated by OC and NO₃^-, with the percentage ranging from 9.01% to 41.87%. The coefficients of divergence (CD) between PM_2.5 and PM₁₀ source profiles from the same process were similar, indicating that the source profiles of PM_2.5 might be similar to those in PM₁₀. And the source profiles of the same particle size from different process were differ greatly. The comparison of R/U values showed that EC, Ca, F^- and Cl^-could be used as the identified components to distinguish the two alumina production processes.

Key words： alumina industrial furnace source profile coefficient of divergence identify component

收稿日期: 2019-08-08

PACS:

X513

基金资助:

国家重点研发计划项目（2017YFC0212400）

通讯作者: 燕启社,讲师,Qisheyanzzu@163.com E-mail: Qisheyanzzu@163.com

作者简介: 靳孟洁(1993-),男,河南许昌人,郑州大学化学与分子工程学院硕士研究生,主要研究方向为大气环境污染与防治.

引用本文:

靳孟洁, 张轶舜, 赵金帅, 何瑞东, 张瑞芹, 燕启社. 郑州市氧化铝工业炉窑污染物及源谱特征[J]. 中国环境科学, 2020, 40(3): 1023-1029. JIN Meng-jie, ZHANG Yi-shun, ZHAO Jin-shuai, HE Rui-dong, ZHANG Rui-qin, YAN Qi-she. Characterization of particulate matter Source profiles and pollutant from alumina industrial furnace in Zhengzhou City. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(3): 1023-1029.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2020/V40/I3/1023

[1]	杨毅,郭尧琦,朱文松,等.我国铝工业经济增长与碳排放脱钩的时空分异研究[J]. 矿冶工程, 2018,38(6):168-172. Yang Y, Guo Y Q, Zhu W S, et al. Discussion of spatio-temporal differentiation for decoupling carbon emissionsfrom economic growth in China's aluminum industry[J]. Mining and Metallurgical Engineering, 2018,38(6):168-172.
[2]	刘大钧.浅谈氧化铝工业污染防治对策[J]. 轻金属, 2011,(2):3-7+10. Liu D Z. Discussion on countermeasures for prevention and control of ammonia industry pollution[J]. Light Metals, 2011,(2):3-7+10.
[3]	王俊萍,杨北海.浅谈我国铝工业清洁生产和污染防控工艺[J]. 中国金属通报, 2017,(9):131-132. Wang J P, Yang B H. Discussion on clean production and pollution prevention and control technology of aluminum industry in China[J]. China Metal Bulletin, 2017,(9):131-132.
[4]	王宁.氧化铝生产技术的发展现状和未来趋势[J]. 冶金与材料, 2018,38(4):90+92. Wang N. Development status and future trend of alumina production technology[J]. Metallurgy & Materials, 2018,38(4):90+92.
[5]	王平利,戴春雷,张成江.城市大气中颗粒物的研究现状及健康效应[J]. 中国环境监测, 2005,(1):83-87. Wang P L, Dai C L, Zhang C J. The study progress in the research for the particular in city air and its effect on human health[J]. Environmental Monitoring in China, 2005,(1):83-87.
[6]	孙青.高温管式炉中煤粉恒温燃烧过程中NOx和SO2释放特性研究[D]. 上海:上海交通大学, 2009. Sun Q. Study on NOx and SO2 release in combustion of coal in high constant temperature tubularfurnace[D]. Shanghai:Shanghai Jiaotong University, 2009.
[7]	朱坦,冯银厂.大气颗粒物来源解析原理、技术及应用[M]. 北京:科学出版社, 2012:1-103. Zhu T, Feng Y C. Principles, technology and application of atmospheric particle source analysis[M]. Beijing:Science Press, 2012:1-103.
[8]	Cai T Q, James S J, Huang W, et al. Sensitivity of source apportionment results to mobile source profiles[J]. Environmental Pollution, 2016,219:821-828.
[9]	Watson J G, Chow J C, Pace T G. Chemical mass balance[M]. Receptor Modeling for Air Quality Management, 1991:83-116.
[10]	Chen P L, Wang T J, Lu X B, et al. Source apportionment of sizefractionated particles during the 2013 Asian Youth Games and the 2014 Youth Olympic Games in Nanjing, China[J]. Science of the Total Environment, 2017,579:860-870.
[11]	Park S S, Sim S Y, Bae M S, et al. Size distribution of water-soluble components in particulate matter emitted from biomass burning[J]. Atmospheric Environment, 2013,73:62-72.
[12]	Vicente E D, Alves C A. An overview of particulate emissions from residential biomass combustion[J]. Atmospheric Research, 2018,199:159-185.
[13]	Timmers V R J H, Achten P A J. Non-exhaust PM emissions from electric vehicles[J]. Atmospheric Environment, 2016,134:10-17.
[14]	Wang J M, Jeong C H, Zimmerman N, et al. Real world vehicle fleet emission factors:Seasonal and diurnal variations in traffic related air pollutants[J]. Atmospheric Environment, 2018,184:77-86.
[15]	Mohiuddin K, Strezov V, Nelson P F, et al. Characterisation of trace metals in atmospheric particles in the vicinity of iron and steelmaking industries in Australia[J]. Atmospheric Environment, 2014,83:72-79.
[16]	Wang K, Tian H Z, Hua S B, et al. A comprehensive emission inventory of multiple air pollutants from iron and steel industry in China:Temporal trends and spatial variation characteristics[J]. Science of the Total Environment, 2016,559:7-14.
[17]	Jia J, Cheng S Y, Yao S, et al. Emission characteristics and chemical components of size-segregated particulate matter in iron and steel industry[J]. Atmospheric Environment, 2018,182:115-127.
[18]	Mu L, Peng L, Cao J J, et al. Emissions of polycyclic aromatic hydrocarbons from coking industries in China[J]. Particuology, 2013,11(1):86-93.
[19]	朱玲,田秀华,王同健.固定源烟气颗粒物稀释采样器的设计及应用[J]. 环境污染与防治, 2014,36(6):51-54+64. Zhu L, Tian X, Wang T. Design of flue gas dilution sampling system and its application at stationary sources[J]. Environmental Pollution & Control, 2014,36(6):51-54+64.
[20]	GB/T 16157-1996固定污染源排气中颗粒物测定与气态污染物采样方法[S]. GB/T 16157-1996 Determination of particulates and sampling methods of gaseous pollutants emitted from exhaust gas of stationary source[S].
[21]	Wang G. Chemical characteristics of Fine Particles Emitted from Different Chinese Cooking Styles[J]. Aerosol & Air Quality Research, 2015,15(6S):2357-2366.
[22]	刘雯元.3012H型烟气分析仪在废气监测中的应用[J]. 资源节约与环保, 2018,(3):84+88. Liu W Y. Application of 3012H flue gas analyzer in exhaust gas monitoring[J]. Resource Conservation and Environmental Protection, 2018,(3):84+88.
[23]	徐接胜,张维宇,陈爽.浅谈3012H型自动烟尘(气)测试仪的使用和维护管理[J]. 广东化工, 2014,41(10):81-82. Xu J S, Zhang W Y, Chen S. Discussion on the use and maintenance management of 3012H automatic smoke (gas) tester[J]. Guangdong Chemical Industry, 2014,41(10):81-82.
[24]	孙亮.3012H型自动烟尘(气)测试仪操作与维护[J]. 北方环境, 2012,24(3):135-138. Sun L. Operation and maintenance of 3012H automatic smoke (Gas) tester[J]. Northern Environment, 2012,24(3):135-138.
[25]	赵雪艳,谷超,杨焕明,等.新疆奎独乌区域冬季大气重污染过程PM2.5组成特征及来源解析[J]. 环境科学研究, 2017,30(10):1515-1523. Zhao X Y, Gu C, Yang H M, et al. Chemical composition and source apportionment of PM2.5 during a winter air pollution episode in theKui-Du-Wu area of Xinjiang Uygur autonomous region[J]. Research of Environmental Sciences, 2017,30(10):1515-1523.
[26]	黄睿,谈静,刘琼玉.PM2.5中有机碳/元素碳测定探讨[J]. 江汉大学学报(自然科学版), 2016,44(1):11-17. Huang R, TAN J, LIU Q Y. Determination of organic and elemental carbon in fine particulate matters (PM2.5)[J]. Journal of Jianghan University (Natural Science Edition), 2016,44(1):11-17.
[27]	姜欣.PXRF、XRF、AAS及ICP-AES测定土壤样品中重金属元素的对比研究[J]. 污染防治技术, 2019,32(3):30-34. Jiang X. Comparative study on the determination of heavy metals in soil samples by PXRF, XRF, AAS and ICP-AES[J]. Pollution Control Technology, 2019,32(3):30-34.
[28]	高冀,刘强.天然气的开发与应用对环境的影响[J]. 环境与可持续发展, 2009,34(3):37-39. Gao J, Liu Q. Environmental impacts of development and application of natural gas[J]. Environment and Sustainable Development, 2009, 34(3):37-39.
[29]	GB 25465-2010铝工业污染物排放标准[S]. GB 25465-2010 Emission standard of pollutants for aluminum industry[S].
[30]	DB 41/1066-2015工业炉窑大气污染物排放标准[S]. DB 41/1066-2015 Emission standard of air pollutants for industrial Furnace[S].
[31]	李玉洋,耿赫,崔秀,等.天然气成分对硫化氢制氢反应影响的热力学分析[J]. 石油与天然气化工, 2016,45(6):32-37. Li Y Y, Geng H, Cui X, et al. Thermodynamic analysis of the influence of natural gas composition on hydrogen production by hydrogen sulfide[J]. Petroleum and Natural Gas Chemical Industry, 2016,45(6):32-37.
[32]	Wei L J, Geng P. A review on natural gas/diesel dual fuel combustion, emissions and performance[J]. Fuel Processing Technology, 2016,142:264-278.
[33]	董璐.低NOx天然气燃烧器数值模拟及优化[D]. 合肥:安徽工业大学, 2015. Dong L. Numerical simulation and optimization of low NOx natural gas burner[D]. Hefei:Anhui University of Technology, 2015.
[34]	郭旸旸,朱廷钰,高翔,等.我国工业源PM2.5源谱的建立方法及行业排放特征分析[J]. 环境工程, 2016,34(8):158-165. Guo Y Y, Zhu T Y, Gao X, et al. Establishment method and characterristicsanalysisonindustrial PM2.5 sourceprofilesin China[J]. Environmental Engineering, 2016,34(8):158-165.
[35]	刘亚勇,张文杰,白志鹏,等.我国典型燃煤源和工业过程源排放PM2.5成分谱特征[J]. 环境科学研究, 2017,30(12):1859-1868. Liu Y Y, Zhang W J, Bai Z P, et al. Characteristics of PM2.5 chemical source profiles of coal combustion and industrial process in China[J]. Research of Environmental Sciences, 2017,30(12):1859-1868.
[36]	赵雪艳,于高峰,王信梧,等.典型非金属矿物制造工艺过程源成分谱特征[J]. 环境科学, 2019,40(6):2526-2532. Zhao X Y, Yu G F, Wang X Y, et al. Characteristics of source component spectrum of typical non-metallic minerals manufacturing process[J]. Environmental Science, 2019,40(6):2526-2532.
[37]	Bano S, Pervez S, Chow J, et al. Coarse particle (PM10-2.5) source profiles for emissions from domestic cooking and industrial process in Central India[J]. Science of the Total Environment, 2018,627:1137-1145.
[38]	Guo Y Y, Gao X, Zhu T Y, et al. Chemical profiles of PM emitted from the iron and steel industry in northern China[J]. Atmospheric Environment, 2017,150:187-197.
[39]	Chow J C, Watson J G, Ashbaugh L L, et al. Similarities and differences in PM10 chemical source profiles for geological dust from the San Joaquin Valley, California[J]. Atmospheric Environment, 2003,37(9):1317-1340.