摘要
应用AERMOD模型,基于葫芦岛市2016年污染源排放清单和相关参数,模拟了葫芦岛市SO_2和NO_2的地面浓度,并与葫芦岛市4个大气环境监测站的对应资料进行对比验证。结果表明:SO_2和NO_2模拟的平均值均略小于监测值,造成这种差异的原因较多,但主要原因是模拟中所用的污染源排放清单还不够完善。而SO_2的监测和模拟结果的相关性比NO_2略好,其中SO_2总的相关系数的平均值为0.71,而NO_2为0.64;4个监测点位SO_2总的平均值的相对误差为-19.4%,4个监测点位NO_2总的平均值的相对误差为-25.6%。在SO_2的模拟结果中,冬季和春季监测和模拟结果的相关性相对较好,其中冬季监测和模拟结果的相关系数平均值为0.79;而NO_2的模拟结果中,冬季和秋季监测和模拟结果的相关性相对较好,其中冬季监测和模拟结果的相关系数平均值为0.69。
Using the AMS/EPA Regulatory Model （AERMOD） and information on the emission inventory and relevant parameters of pollutant sources in Huludao city during 2016, the surface SO2 and NO2 concentrations were simulated and the results were validated with the observational data from four atmospheric environmental monito- ring stations in Huludao. The results show that the simulated mean concentrations of SO2 or NO2 are slightly smal- ler than observational values, and the major one among various reasons is that the emission inventory in the model is not perfect. The correlation between the simulated and observational concentrations of SO2 is relatively better than that of NO2, with the mean value of correlation coefficient of 0.71 for SO2 and 0.64 for NO2. The relative er- ror of the simulated concentration of SO2 averaged at four monitoring stations is -19.4% and that of NO2 is -25.6%. The correlation between the simulated and observational SO2 in winter and spring is better than other sea- sons, with the correlation efficient of 0.79 in winter. While the correlation between the simulated and observational NO2 in winter and autumn is better, with the correlation efficient of 0.69 in winter.
作者
刘海龙
邹旭东
杨洪斌
张云海
汪宏宇
刘玉彻
LIU Hai-long1, ZOU Xu-dong2, YANG Hong-bin2, ZHANG Yun-hai2 ,WANG Hong-yu2, LIU Yu-che2(1. Liaoning Meteorological Equipment Support Center, Shenyang 110166, China; 2. Institute of Atmospheric Environment, CMA, Shenyang 110166, Chin)
出处
《气象与环境学报》
2018年第2期107-112,共6页
Journal of Meteorology and Environment
基金
国家自然科学基金项目(41375146)资助
