天津团泊洼地区SO2和NO2传输轨迹及来源识别

doi:10.11934/j.issn.1673-4831.2016.03.018

生态与农村环境学报 ›› 2016, Vol. 32 ›› Issue (3): 451-457.doi: 10.11934/j.issn.1673-4831.2016.03.018

天津团泊洼地区SO₂和NO₂传输轨迹及来源识别

么相姝, 王磊

天津城建大学地质与测绘学院, 天津 300384

收稿日期:2015-05-21 出版日期:2016-05-25 发布日期:2016-05-27
通讯作者: 么相姝,E-mail:yaoxiangshu126@126.com E-mail:yaoxiangshu126@126.com
作者简介:么相姝(1982-),女,天津市人,讲师,硕士,研究方向为大气环境与资源价值评价。E-mail:yaoxiangshu126@126.com
基金资助:
国家自然科学基金青年基金(71303170);教育部人文社科项目(12YJC630204)

Identification of Transportation Pathways and Sources of SO₂ and NO₂ in Tuanbowa, Tianjin

YAO Xiang-shu, WANG Lei

School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China

Received:2015-05-21 Online:2016-05-25 Published:2016-05-27

摘要/Abstract

摘要：

为研究天津清洁站点团泊洼不同季节大气污染物的污染特征和可能来源区域,利用HYSPLIT模型和全球资料同化系统(GDAS)气象数据,采取聚类方法对2012年12月-2013年11月期间抵达天津团泊洼的气团轨迹进行模拟并按不同季节分类。结合该期间NO₂和SO₂日均浓度监测数据,分析了不同季节气流轨迹对团泊洼污染物浓度的影响。利用潜在源贡献(PSCF)因子分析法和浓度权重轨迹(CWT)分析法分别模拟不同季节NO₂和SO₂潜在源的贡献作用和浓度权重轨迹。结果表明,不同方向气流轨迹对团泊洼NO₂和SO₂潜在源区分布的影响存在显著差异。团泊洼NO₂和SO₂日均最高浓度值对应的气流轨迹均集中在冬季和秋季。冬季日浓度最大值分别为115和179 μg·m^-3,气流主要来自团泊洼的西北方向;秋季日均浓度值分别为81和116 μg·m^-3,气流主要来自西北和东南方向。团泊洼NO₂和SO₂的PSCF与CWT分布特征类似,最高值主要集中在北京和天津周边、河北省的煤炭工业区附近,是团泊洼这2种污染物最大的潜在源区。与PSCF分析法相比,CWT分析法能定量模拟潜在源区污染物的浓度数值,而且采用CWT法模拟的各季节潜在源区均比PSCF法的模拟区域更为集中,有助于更精确确定污染物的潜在源区。

关键词: 后向轨迹模型, 聚类分析, 潜在源, 团泊洼, 清洁站点

Abstract:

To characterize the air pollution relative to season and identify potential pollution sources in Tuanbowa of Tianjin, HYSPLIT model and meteorological data of global data assimilation system (GDAS) were used and the cluster method was applied to invert the tracks of airflows arriving at Tuanbowa of Tianjin during the period from December 2012 to November 2013, and the tracks were classified by season. Moreover, the daily monitoring data of NO₂ and SO₂ during the period were taken into account in analysis of effects of the airflow tracks on concentrations of pollutants in Tuanbowa of Tianjin relative to season. The potential source contribution function (PSCF) analysis method and concentration-weighted trajectory (CWT) analysis method were applied to simulate contributions of the potential sources and CWT of NO₂ and SO₂ relative to season. Results show that airflows coming in from different directions had apparent different impacts on distribution of potential NO₂ and SO₂ sources. The airflow tracks corresponding to the daily mean highest values of NO₂ and SO₂ concentrations were concentrated mainly in winter and autumn. In winter, the daily highest concentration of NO₂ and SO₂ was 115 and 179 μg·m^-3, respectively, with airflows coming mainly from northwest while in autumn, it was 81 and 116 μg·m^-3, respectively, with airflows coming mainly from northwest and southeast. PSCF and CWT of NO₂ and SO₂ in Tuanbohu were distributed in a similar pattern, with the highest concentration of NO₂ and SO₂ appearing in the surroundings of Beijing and Tianjin and areas around the coal industries in Hebei Province, which demonstrate that they are the main potential source areas of the two main pollutants. Compared with the PSCT analysis method, the CWT method may be used to quantitatively simulate concentrations of the pollutants in the potential source area, and the potential source areas simulated with the CWT method are more concentrated than those with the PSCF method, regardless of season, which helps identify potential source areas more accurately.

Key words: backward trajectory model, cluster analysis, potential source, Tuanbowa, environment monitoring site

中图分类号:

么相姝, 王磊. 天津团泊洼地区SO₂和NO₂传输轨迹及来源识别[J]. 生态与农村环境学报, 2016, 32(3): 451-457.

YAO Xiang-shu, WANG Lei. Identification of Transportation Pathways and Sources of SO₂ and NO₂ in Tuanbowa, Tianjin[J]. Journal of Ecology and Rural Environment, 2016, 32(3): 451-457.

参考文献

[1] 高健,张岳翀,柴发合,等.北京 2011年10月连续重污染过程气团光化学性质研究[J].中国环境科学,2013,33(9):1539-1545.
[2] GIVEHCHI R.Contribution of the Middle Eastern Dust Source Areas to PM₁₀ Levels in Urban Receptors:Case Study of Tehran,Iran[J].Atmospheric Environment,2013,75:287-295.
[3] 王茜.利用轨迹模式研究上海大气污染的输送来源[J].环境科学研究,2013,26(4):357-363.
[4] 王爱平,朱彬,银燕,等.黄山顶夏季气溶胶数浓度特征及其输送潜在源区[J].中国环境科学,2014,34(4):852-861.
[5] 马志强,徐敬,张小玲,等.北京PM_2.5背景值定值方法及其变化特征研究[J].中国环境科学,2015,35(1):7-12.
[6] FERRARIO J.Background Contamination by Coplanar Polychlorinated Biphenyls (pcbs) in Trace Level High Resolution Gas Chromatography/High Resolution Mass Pectrometry (Hrgc/Hrms) Analytical Procedures[J].Chemosphere,1997,34(11):2451-2465.
[7] WANG Y Q,ZHANG X Y,DRAXLER R R.TrajStat:GIS-Based Software that Uses Various Trajectory Statistical Analysis Methods to Identify Potential Sources From Long-Term Air Pollution Measurement Data[J].Environmental Modeling and Software,2009,24(8):938-939.
[8] DORLING S R,DAVIES T D,PIERCE C E.Cluster Analysis:A Technique for Estimating the Synoptic Meteorological Controls on Air and Precipitation Chemistry:Method and Applications[J].Atmospheric Environment:Part A:General Topics,1992,26(14):2575-2581.
[9] XU X,AKHTAR U S.Identification of Potential Regional Sources of Atmospheric Total Gaseous Mercury in Windsor,Ontario,Canadausing Hybrid Receptor Modeling[J].Atmospheric Chemistry and Physics,2010,10(15):7073-7083.
[10] BEGUM B A,KIM E,JEONG C H,et al.Evaluation of the Potential Source Contribution Function Using the 2002 Quebec Forest Fire Episode[J].Atmospheric Environment,2005,39:3719-3724.
[11] SEIBERT P,KROMP-KOLB H,BALTENSPERGER U,et al.Trajectory Analysis of Aerosol Measurements at High Alpine Sites[J].Transport and Transformation of Pollutants in the Troposphere,1994,15(9):689-693.
[12] HSU Y K,HOLSEN T M,HOPKE P K.Comparison of Hybrid Receptor Models to Locate PCB Sources in Chicago[J].Atmospheric Environment,2003,37(4):545-562.
[13] HOPKE P K,GAO N,CHENG M D.Combining Chemical and Meteorological Data to Infer Source Areas of Airborne Pollutants[J].Chemometrics and Intelligent Laboratory Systems,1993,19(2):187-199.

[1]	陈飞, 张小华, 于洪霞, 张慧, 高吉喜. 石家庄市冬季PM_2.5污染特征、成因及潜在源区分析[J]. 生态与农村环境学报, 2017, 33(11): 975-982.
[2]	胡婷婷, 刘劲松, 戴小琳, 蔡永久, 许浩, 龚志军. 骆马湖水质时空变化特征[J]. 生态与农村环境学报, 2016, 32(5): 794-801.
[3]	陈玉东,陈梅,张龙江,周慧平,张卫东,石先罗,高恒娟. 基于GIS的龙墩水库典型小流域面源污染氮磷负荷研究[J]. 生态与农村环境学报, 2015, 31(4): 492-499.
[4]	李典宝, 张玮, 王丽卿, 徐玉萍, 季高华. 2013年上海市河流秋季水质空间分布特征[J]. 生态与农村环境学报, 2015, 31(1): 50-58.
[5]	刘伟, 石惠春, 何剑. 民勤县生态经济功能区划[J]. 生态与农村环境学报, 2013, 29(3): 386-389.
[6]	任泽, 杨顺益, 汪兴中, 唐涛, 蔡庆华. 洱海流域水质时空变化特征[J]. 生态与农村环境学报, 2011, 27(4): 14-20.
[7]	于莉, 田苗苗, 李志艺, 赵言文. 江苏省陆栖濒危脊椎动物物种丰富度及分布格局[J]. 生态与农村环境学报, 2011, 27(4): 32-39.
[8]	赵倩, 马建, 问青春, 鲁彩艳, 陈欣, 史奕. 浑河上游大苏河乡农业非点源污染负荷及现状评价[J]. 生态与农村环境学报, 2010, 26(2): 126-131.
[9]	陈利顶, 李俊然, 傅伯杰. 三峡库区生态环境综合评价与聚类分析[J]. 生态与农村环境学报, 2001, 17(3): 35-38.
[10]	吴佐礼. 系统聚类分析在农户生态系统类型划分中的应用[J]. 生态与农村环境学报, 1995, 11(3): 38-43.
[11]	赵勇, 闫双喜, 冯建灿. 河南省大气污染的气候分类[J]. 生态与农村环境学报, 1995, 11(1): 1-4,26.
[12]	徐海根, 叶亚平. 农村环境质量区划的多元分析[J]. 生态与农村环境学报, 1995, 11(1): 44-47,55.
[13]	常禹, 苏文贵, 高俊山. 农村生态环境分区的数量化方法─—以鞍山市为例[J]. 生态与农村环境学报, 1995, 11(1): 60-62.
[14]	朱明芬, 葛进平. 运用聚类分析划分农业生态类型区[J]. 生态与农村环境学报, 1993, 9(4): 16-18,62.
[15]	吴建军, 胡秉民, 王兆骞. 不同数据转换方法对特征数和聚类效果影响的研究[J]. 生态与农村环境学报, 1992, 8(3): 55-60.

天津团泊洼地区SO₂和NO₂传输轨迹及来源识别

Identification of Transportation Pathways and Sources of SO₂ and NO₂ in Tuanbowa, Tianjin

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价