【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SO₂和NO₂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:SO₂和NO₂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SO₂的监测和模拟结果的相关性比NO₂略好,其中SO₂总的相关系数的平均值为0.71,而NO₂为0.64;4个监测点位SO₂总的平均值的相对误差为-19.4%,4个监测点位NO₂总的平均值的相对误差为-25.6%。在SO₂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NO₂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。更多还原

【Abstract】 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 monitoring stations in Huludao. The results showthat the simulated mean concentrations of SO₂ or NO₂ are slightly smaller 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 error 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 seasons,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.更多还原