doi:  10.3878/j.issn.1006-9895.1810.18158
京津冀典型工业城市沙河市大气污染特征及来源分析

Characteristics and Source Identification of Air Pollution in Shahe, a Typical Industrial City in Beijing-Tianjin-Hebei Region
摘要点击 466  全文点击 264  投稿时间:2018-05-03  
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基金:  国家自然科学基金项目41675128
中文关键词:  工业城市  大气污染  时空特征  扩散模型
英文关键词:  Industrial city  Air pollution  Spatiotemporal characteristics  Diffusion model
                                   
作者中文名作者英文名单位
刘晓咏LIU Xiaoyong中国科学院城市环境研究所区域大气环境研究卓越创新中心,厦门361021;中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;中国科学院大学,北京100049
王自发WANG Zifa中国科学院城市环境研究所区域大气环境研究卓越创新中心,厦门361021;中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;中国科学院大学,北京100049
王大玮WANG Dawei中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029
向伟玲XIANG Weiling中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029
潘小乐PAN Xiaole中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029
刘航LIU Hang中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;中国科学院大学,北京100049
田雨TIAN Yu中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;中国科学院大学,北京100049
张瑜ZHANG Yu成都信息工程大学,成都610103
王刘铭WANG Liuming中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;中国科学院大学,北京100049
李杰LI Jie中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029
苏方成SU Fangcheng郑州大学,郑州450001
贺泓and HE Hong中国科学院城市环境研究所区域大气环境研究卓越创新中心,厦门361021
引用:刘晓咏,王自发,王大玮,向伟玲,潘小乐,刘航,田雨,张瑜,王刘铭,李杰,苏方成,贺泓.2019.京津冀典型工业城市沙河市大气污染特征及来源分析[J].大气科学,43(4):861-874,doi:10.3878/j.issn.1006-9895.1810.18158.
Citation:LIU Xiaoyong,WANG Zifa,WANG Dawei,XIANG Weiling,PAN Xiaole,LIU Hang,TIAN Yu,ZHANG Yu,WANG Liuming,LI Jie,SU Fangcheng,and HE Hong.2019.Characteristics and Source Identification of Air Pollution in Shahe, a Typical Industrial City in Beijing-Tianjin-Hebei Region[J].Chinese Journal of Atmospheric Sciences (in Chinese),43(4):861-874,doi:10.3878/j.issn.1006-9895.1810.18158.
中文摘要:
      近些年京津冀地区秋、冬季大气重污染事件频发,工业生产与居民燃煤是大气灰霾污染的重要原因。河北省沙河市是京津冀地区以玻璃制造和加工为主的典型工业城市,本研究选取该城市为研究对象,主要利用2017年1月至12月国控站点的大气环境监测和气象数据,采用扩散模型、潜在源分析等手段,分析了沙河市主要污染物的时空分布特征和污染来源。主要结论有:(1)沙河市首要污染物具有明显季节特征,春季、夏季、秋冬季分别以PM10、O3、PM2.5污染为主,季节贡献率分别为43.3%、72.3%、61.5%。(2)受城市大气边界层和排放的共同影响,PM10、PM2.5、SO2、NO2和CO浓度均有剧烈的季节—日变化特征。(3)冬季东北风时PM2.5、NO2、SO2均展现出高浓度和高相关性特征,表明站点可能受东北方向玻璃企业排放影响。同时,站点可能也受城中村散煤燃烧影响。(4)沙河市冬季PM2.5浓度为143 μg m-3。冬季的一次重污染中硫氧化率SOR、氮氧化率NOR的最高值分别达0.67、0.39,气态污染物的二次转化剧烈,高湿度利于二次粒子的生成。重污染中C(NO3-)/C(SO42-)均值为1.89,推测沙河市NO2主要来自大型运输车辆和企业的共同排放。(5)本地源是沙河市PM2.5的主要潜在源区,周边几个重工业城市也有一定贡献。因此本研究建议沙河市PM2.5的治理除需加强本地污染源的削减和控制外,区域联防联控也十分重要。
Abstract:
      In the autumn and winter, severe air pollution events occur frequently in Beijing-Tianjin-Hebei region. As is known, industrial emissions and residential coal burning are the major reasons for atmospheric pollution. As a typical industrial city focusing on glass manufacturing and processing, Shahe city is selected as the research object. An air diffusion model and potential source analysis are employed to study spatiotemporal characteristics and sources of major pollutants based on the atmospheric monitoring data in Shahe city from January to December, 2017. Major results are as follows. (1) There are obvious seasonal characteristics of primary pollutants in Shahe. The primary pollutant is PM10 in the spring, O3 in the winter, and PM2.5 in the autumn and winter. Their seasonal contribution rates are 43.3%, 72.3% and 61.5% respectively. (2) Affected by changes in urban atmospheric boundary layer and pollution emissions, the concentrations of PM10, PM2.5, SO2, NO2 and CO have strong seasonal-diurnal changes. (3) When northeasterly winds prevail in the winter, correlation coefficients between PM2.5, NO2, SO2 and their concentrations are high, which may be attributed to emissions from glass factories to the northeast of the city. Meanwhile, the observational site may also be affected by coal burning in surrounding villages. (4) The mean concentration of PM2.5 in Shahe is 143 μg m-3 in the winter. The analysis of a severe pollution case shows that the max values of SOR (sulfur oxidation ratio), NOR (nitrogen oxidation ratio) are 0.67 and 0.39, respectively. This indicates that the conversion from primary gaseous pollutants to secondary pollutants is severe. It also proves that high humidity does favor the formation of air-borne particulates. The mean value of C(NO3-)/C(SO42-) is 1.89. It is concluded that NO2 in Shahe mainly comes from emissions of heavy transport vehicles and factories. (5) Local area is a strong potential source for Shahe’s PM2.5. The surrounding industrial cities also make some contributions. Not only local emission reduction, but also regional management regimes are needed to control the PM2.5 pollution.
主办单位:中国科学院大气物理研究所 单位地址:北京市9804信箱
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