基于WRF-Chem模拟验证的天水市主城区大气污染源排放清单

通过部门调研、现场调查和遥感解译等方法获取天水市主城区大气污染源活动水平数据,采用排放因子法估算了天水市主城区 10类污染源的9种污染物排放量,构建了2019年天水市主城区高分辨率排放清单,并采用横向比较法和模式验证法评估了排放清单的合理性.结果表明:(1)2019年天水市主城区 SO2、NOx、CO、VOCs、NH3...

Air pollutants emission inventory for the main urban area of Tianshui City based on verification by WRF-Chem simulation

An emission inventory, including ten emission categories and nine air pollutants, was developed for the main urban area of Tianshui city (EITS) using emission factor approach. Sector survey, on-site investigation and remote sensing interpretation method have been used to derive the activity data of air pollution sources used in EITS. The rationality of EITS was further validated by comparing with other emission inventories and model verification. The results suggested that: (1)The total emissions in the study area were 2702t SO₂, 8829t NO_x, 82670t CO, 10460t VOCs, 7551t NH₃, 14221t PM₁₀, 8252t PM_2.5, 1682t BC and 2814t OC in 2019. Fossil fuel burning was the major contributor to SO₂、CO and PM emissions, traffic was the main source of NO_x and VOCs emissions, while agriculture was the dominate contributor to NH₃ emission; (2) High-emissions of SO₂、NO_x、PM、CO and VOCs appears in river valley, while NH₃ emission maximizes outside of the river valley where cultivated lands were dominate; (3) Spatial allocation of residential fuel consumption sources had an important effect on model simulations, with more reasonable results when the location of village outside of the river valley region was used for spatial allocation; (4) Correlation coefficients between WRF-Chem modeled and observed daily averages of SO₂、NO₂、O₃、CO、PM₁₀ and PM_2.5 concentrations were 0.767、0.502、0.618、0.462、0.647 and 0.654, respectively, indicating the reasonability of the EITS.