南京市大气细颗粒物中碳组分的时空分布特征及来源研究
[Abstract]:Carbon component is one of the main components of atmospheric particulate matter, which has an important impact on atmospheric visibility, environmental quality, climate change and human health. However, the current understanding of carbon components in atmospheric particulates is still inadequate. Due to the lack of systematic observation data, most of the existing research work is scattered and less representative. Based on the observation data of the chemical components of atmospheric fine particulate matter (PM2.5) in Nanjing over the past 5 years, the temporal and spatial distribution characteristics of the carbon components in PM2.5 and the correlation between the carbon components and other components were systematically studied. The effects of different polluted weather processes on carbon components were analyzed, and the source and control measures of carbon components were discussed. The results show that compared with 2011 and 2012, the mass concentrations of PM2.5, organic carbon (OC) and elemental carbon (EC) decreased in Nanjing in recent three years (2013-2015). The average contribution rate of total carbon (Total Carbon,TC) to PM2.5 concentration reached 22%, indicating that the carbon component is still the main chemical component of PM2.5. The average annual concentrations of OC and EC in six sampling sites in Nanjing were not different, which indicated that the concentration of carbon components was uniform in spatial distribution. The average annual ratio of OC/EC in the six sampling sites was more than 2.0, which indicated that the secondary aerosol pollution affected Nanjing area obviously. OC,EC,. The mass concentrations of primary organic carbon (POC) and secondary organic carbon (SOC) have the same seasonal variation characteristics, both of which are higher in autumn and winter and lower in spring and summer. The mean value in winter is almost twice that in summer. The results show that carbon aerosol pollution is serious in winter. In spring, there is a significant correlation between OC,EC and s-K, NO2, indicating that biomass combustion and motor vehicle emissions contribute to the concentration of carbon components in spring. In summer, EC, SO42-,NH4 and SO2 have obvious correlation, indicating that industrial coal burning in summer is one of the sources of carbon components. In autumn, the correlation coefficients between OC,EC, SO42-,NO2,SO2 and secondary inorganic salt ions were higher, and there were significant correlations between SOC and S02 no _ 2 and O _ 3, which indicated that not only the contribution of motor vehicles and coal combustion existed in autumn, but also the correlation between SOC and S02O _ 2 and O _ 3. The secondary conversion source is also the main source of carbon components. In winter, except 03, the correlation between carbon components, secondary inorganic salts and gaseous pollutants was more significant than that in the other three seasons, which indicated that the homology of the pollutants in winter increased and there were motor vehicle emissions. The common contribution of coal combustion and secondary transformation. From clean days to heavily polluted days, EC and POC increased the most (306.1% and 299.5%), SOC) the least (238.5%). The results show that the contribution of primary pollutant emission to carbon aerosol is more significant than that of secondary generation. At the same time, there is almost no correlation between OC and EC in heavily polluted days, which indicates that the source of carbon aerosol pollution has changed greatly. The temporary pollution abatement and control measures implemented during the period of YYC and YOC have significant effect on the reduction of PM2.5, carbon composition and the concentration of gaseous pollutants, indicating that high intensity pollution control measures reduce industrial coal combustion. The contribution of vehicle emissions and secondary conversion to carbon components. The sources of carbon aerosol pollution in different seasons of Nanjing were identified by the ratio judgment method and the carbon spectrum analysis method. The results show that the contribution of secondary organic carbon aerosol (SOA) in winter is more significant than that in the other three seasons. Industrial coal combustion and motor vehicle emissions contribute significantly to carbon aerosols in summer, while SOA contribution is relatively small. The contribution of biomass combustion and dust in spring is obvious. There may also be a significant contribution from secondary transformation sources in autumn.
【学位授予单位】:南京大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:X513
【相似文献】
相关期刊论文 前10条
1 赵毓梅,李秋营,范建,,李炳太;大气粗细颗粒物对大鼠肺泡巨噬细胞的影响[J];中国公共卫生学报;1995年04期
2 王耘;;科技期刊中“细颗粒物”符号表示方法调查与分析[J];中国科技术语;2014年01期
3 范柏祥,孙熙,王金波;可吸入细颗粒物的治理[J];中国环保产业;2003年03期
4 杨书申;邵龙义;;大气细颗粒物的透射电子显微镜研究[J];环境科学学报;2007年02期
5 冯加良;胡小玲;管晶晶;赵伟;;上海市大气细颗粒物的酸度及其与组成的关系[J];上海大学学报(自然科学版);2010年05期
6 柴发合;高健;王淑兰;;大气细颗粒物监测的政策制定和标准设计[J];环境保护;2011年16期
7 张莉君;东春阳;许慧慧;施烨闻;金奇昂;刘立平;沈先标;;上海市两社区大气细颗粒物的污染状况[J];环境与职业医学;2011年08期
8 杨春雪;阚海东;陈仁杰;;我国大气细颗粒物水平、成分、来源及污染特征[J];环境与健康杂志;2011年08期
9 ;揭开迷“雾”中的重重秘密——国家自然科学奖获奖项目解析我国空气中细颗粒物形成机制及影响[J];中国科技信息;2013年03期
10 范娇;秦晓蕾;薛晓丹;陈曦;赵力军;汤乃军;张利文;;细颗粒物的免疫毒性研究进展[J];环境化学;2013年02期
相关会议论文 前10条
1 吕阳;付柏淋;;两种典型通风方式下室内细颗粒物去除效果的研究[A];2013中国环境科学学会学术年会论文集(第五卷)[C];2013年
2 蒲维维;赵秀娟;张小玲;徐敬;徐晓峰;孟伟;;奥运前后北京地区细颗粒物污染特征及气象影响因素分析[A];第27届中国气象学会年会城市气象,让生活更美好分会场论文集[C];2010年
3 冯加良;;上海及长三角地区大气细颗粒物中多环芳烃来源探讨[A];第六届全国环境化学大会暨环境科学仪器与分析仪器展览会摘要集[C];2011年
4 洪也;周德平;马雁军;李潮流;刘宁微;;沈阳城区春节期间大气细颗粒物元素的浓度变化及其来源[A];第26届中国气象学会年会大气成分与天气气候及环境变化分会场论文集[C];2009年
5 洪也;周德平;马雁军;李潮流;刘宁微;董玉敏;;沈阳城区春节期间大气细颗粒物元素的浓度变化及其来源[A];2010中国环境科学学会学术年会论文集(第四卷)[C];2010年
6 钱凌;银燕;童尧青;王巍巍;魏玉香;;南京北郊大气细颗粒物的粒径分布特征[A];中国气象学会2007年年会大气成分观测、研究与预报分会场论文集[C];2007年
7 钱凌;银燕;童尧青;王巍巍;魏玉香;;南京北郊大气细颗粒物的粒径分布特征[A];第四届长三角科技论坛论文集(下册)[C];2007年
8 王子晔;李宁;;浅谈PM2.5防控专利技术开发[A];2014年中华全国专利代理人协会年会第五届知识产权论坛论文集(第一部分)[C];2014年
9 叶兴南;尹姿;唐尘;陈建民;;基于吸湿性测量分析上海大气亚微米细颗粒物的混合态[A];中国化学会第28届学术年会第2分会场摘要集[C];2012年
10 陈晨;银燕;钱凌;王巍巍;陈宇;李嘉鹏;;南京北郊冬季大气细颗粒物浓度分布特征及其与边界层气象要素的关系[A];第十五届全国云降水与人工影响天气科学会议论文集(Ⅱ)[C];2008年
相关重要报纸文章 前10条
1 记者 吴苡婷;上海细颗粒物污染状况堪忧[N];上海科技报;2010年
2 本报记者 任震宇;细颗粒物威胁“健康出行”[N];中国消费者报;2011年
3 本报记者 周迎久;细颗粒物控制成约束性指标[N];中国环境报;2013年
4 ;强化源头削减 分区分类控制[N];中国环境报;2013年
5 记者 徐维欣;细颗粒物标准制定尚需时日[N];文汇报;2009年
6 通讯员 王双瑾;探寻PM_(2.5)真相[N];中国环境报;2013年
7 记者 拓玲;征细颗粒物排污费改善空气质量[N];西安日报;2012年
8 刘敬奇;北京发布清洁空气行动计划[N];中国环境报;2013年
9 本报记者 贺小巍;每个人既是PM2.5的受害者也是参与者[N];陕西日报;2012年
10 记者 荣丽君;我市在全省率先监测PM2.5[N];西宁晚报;2012年
相关博士学位论文 前9条
1 赵斌;细颗粒物化学组成及其对前体物排放响应的数值模拟研究[D];清华大学;2015年
2 吴伊人;含油雾的环境空气中微细颗粒物净化用纤维滤料的织物特性研究[D];东华大学;2015年
3 朱继保;细颗粒物的电收集技术研究[D];浙江大学;2010年
4 高知义;大气细颗粒物人群暴露的健康影响及遗传易感性研究[D];复旦大学;2010年
5 赵金镯;大气细颗粒物心血管毒性的机制研究[D];复旦大学;2008年
6 李庚达;煤粉燃烧细颗粒物生成、演化与沉积特性实验研究[D];清华大学;2014年
7 顾泽平;大气细颗粒物有机质组成的变化规律及其在源解析中的应用[D];上海大学;2010年
8 斯俊平;燃煤过程中钠对焦特性及细颗粒物控制的影响[D];华中科技大学;2014年
9 柳冠青;范德华力和静电力下的细颗粒离散动力学研究[D];清华大学;2011年
相关硕士学位论文 前10条
1 孙志春;汽车细颗粒物排放研究[D];长安大学;2013年
2 马琼锦;上海二城区大气细颗粒物致大鼠肺损伤的比较性研究[D];复旦大学;2014年
3 赵园园;济南市细颗粒物污染及管理建议研究[D];山东大学;2015年
4 林达平;不同相水介质中细颗粒运动特性研究[D];华北电力大学;2015年
5 宋劭萌;某高新园区空气PAHs污染及人体健康风险评价[D];大连理工大学;2015年
6 韩雪;大气细颗粒物对小鼠表皮组织中表皮生长因子受体mRNA表达的影响[D];南方医科大学;2015年
7 李英红;兰州市大气细颗粒物(PM_(2.5))化学成分污染特征及来源分析[D];兰州大学;2015年
8 杜蔚;青藏高原背景站细颗粒物理化特性及粒子增长机制研究[D];成都信息工程学院;2015年
9 朱礼波;兰州市不同细颗粒物中PAHs污染特征及其健康风险评价[D];兰州大学;2015年
10 高杰;燃烧火焰中汞的形态转化及富集微细颗粒物的规律研究[D];华北电力大学;2015年
本文编号:2336953
本文链接:https://www.wllwen.com/shengtaihuanjingbaohulunwen/2336953.html