摘要
使用首尔市近几年臭氧警报发生次数最多的2010年的气象数据,污染物质排放量,交通量等因素综合分析和概括了研究地区氮氧化物的排放/污染特性,并与中国部分地区污染物分布特征进行了对比分析.选定年中臭氧浓度显示最高的6月20日为模拟日,选用美国国家环保局(USEPA)和中国环境保护局推荐的导则模式CALPUFF(California Puff Model),通过时间分配系数方法计算得出每小时排放量,对复杂地形条件的首尔市NO_2浓度进行了模拟并与监测站数据进行了对比。结果显示:首尔地区NO_x分布特征趋势明显,并与中国部分城市状况存在差异,这与当地的气象条件和人为活动有很大的关系。4组模拟值与监测值起伏变化趋势相近,模拟值与监测值之间显示正相关关系,可信度较好。
Based onmeteorological data,pollutant emissions,traffic volume and other factors ofthe Seoul municipal in 2010with ozone alerts occur most frequentlyin recent years,a comprehensive analysis and summary of the research area of NO_x emission/pollution characteristics,and the distribution characteristics of pollutants in some areas of China were compared and analyzed.Selected ozone concentrations in this year showed the highest for June 20th as the simulation day,CALPUFF(California Puff Model)model,recommended by the United States National Environmental Protection Agency(USEPA)and China's Environmental Protection Agency,the hourly emissions are calculated by the time allocation coefficient method,with the concentration of NO_2 in complex terrain Seoul city were simulated and compared with the data of monitoring station.The results showed:Seoul area NOxdistribution trend is obvious,and there are differences with part of the city in our country.The differences related to local meteorological conditions and human activities.The four groups of simulated values and monitoring values are similar to the trend of fluctuation.There was positive correlation between the analog value and monitoring value,and the reliability is good.
出处
《环境科学与技术》
CAS
CSCD
北大核心
2016年第S2期49-58,共10页
Environmental Science & Technology
基金
国家高技术研究发展计划(863计划)(2012AA063302)
留学回国人员科研启动基金(第48批)
关键词
二氧化氮
氮氧化物
大气模式
模拟
nitrogen dioxide
nitrogen oxide
atmospheric model
modeling