首页  |  本刊简介  |  编委会  |  投稿须知  |  订阅与联系  |  微信  |  出版道德声明  |  Ei收录本刊数据  |  封面
石家庄市臭氧和二氧化氮的时空演替特征及来源解析
摘要点击 3066  全文点击 850  投稿时间:2020-11-10  修订日期:2020-12-02
查看HTML全文 查看全文  查看/发表评论  下载PDF阅读器
中文关键词  臭氧(O3)  二氧化氮(NO2)  挥发性有机物(VOCs)  后向轨迹模型(HYSPLIT)  石家庄
英文关键词  ozone(O3)  NO2  volatile organic compounds(VOCs)  backward-trajectory(HYSPLIT)  Shijiazhuang
作者单位E-mail
王帅 河北科技大学环境科学与工程学院, 石家庄 050018 wshuai0812@outlook.com 
聂赛赛 河北科技大学环境科学与工程学院, 石家庄 050018  
冯亚平 河北科技大学环境科学与工程学院, 石家庄 050018  
崔建升 河北科技大学环境科学与工程学院, 石家庄 050018 cui1603@163.com 
陈静 石家庄市气象局, 石家庄 050081  
刘大喜 河北科技大学环境科学与工程学院, 石家庄 050018 daxidaxi2@126.com 
石文雅 石家庄市气象局, 石家庄 050081  
中文摘要
      为研究石家庄市域臭氧(O3)和NO2的时空演替格局及污染来源,取2014~2017年市域18个区县(市)的O3、NO2和气象要素资料(温度、湿度、风速、降水、日照),及2017年夏季挥发性有机物(VOCs)数据,采用网络分析(network analysis)、空间插值(IDW)、Moran模型及后向轨迹方法,对市域内区县O3和NO2的空间联系、演替格局、空间影响因素及污染来源进行了分析.结果表明:①2014~2017年市域O3浓度呈上升趋势,市区O3月度变动呈单峰型态势,5~9月是O3污染(O3≥160 μg·m-3)的典型时期(TPOP),TPOP的气象特征为高温低湿弱风强光照,NO2在TPOP内的负相关性显著;②主城区O3浓度在2015年后呈逐年显著上升,主城区的污染物类型从NO2(2014~2016年)转为VOCs(2016~2017年),而县域2014~2017年均属VOCs控制区;③市域O3空间影响因子主要集中于工业、农业、经济和人口这4个维度(P≤0.05).第二产业对O3污染的高值中心出现在主城区和栾城区,与区域内工业生产活动有关;④VOCs夏季监测期间的轨迹聚类出3个来源方向,即A(东-东北,26.67%)、B(西北-西,43.33%)及C(东南-南,30%),轨迹A和C是VOCs传输的主要方向(东-东南).
英文摘要
      Ground-level O3, NO2, and meteorological (temperature, humidity, wind speed, precipitation, and sunshine duration) data from 18 counties in Shijiazhuang City from 2014 to 2017, and volatile organic compounds (VOCs) data for Summer 2017, were analyzed to explore the spatial patterns, evolution, influencing factors, and source apportionment of O3 and NO2 in Shijiazhuang City. Network analysis and inverse distance weighted (IDW) spatial autocorrelation and backward trajectories analyses were performed. The results indicate that O3 concentrations increased between 2014 and 2017, and monthly variations showed a unimodal trend. The typical period of peak O3 pollution (O3 ≥ 160 μg·m-3) was from May to September, characterized by high temperatures, low humidity, weak winds, and strong solar radiation. The O3 concentrations were negatively correlated with the NO2. Furthermore, O3 concentrations increased year-on-year since 2015 in main urban area, and the dominant pollutant type had changed from NO2 (2014 to 2016) to VOCs (2016 and 2017). However, the O3 concentration of county-areas limited by the VOCs. The main factors affecting O3 concentrations were industry, agriculture, economy, and population, and centers of O3 pollution associated with secondary industry appeared in the main urban areas of Shijiazhuang and Luancheng. Moreover, VOCs trajectories during the summer monitoring period were clustered in three source directions:(A) East-northeast, 26.67%; (B) Northwest-west, 43.33%; and (C) Southeast-south, 30%). Trajectories (A) and (C) were the dominant directions of VOC transmission (east-southeast).

您是第52874140位访客
主办单位:中国科学院生态环境研究中心 单位地址:北京市海淀区双清路18号
电话:010-62941102 邮编:100085 E-mail: hjkx@rcees.ac.cn
本系统由北京勤云科技发展有限公司设计  京ICP备05002858号-2