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兰州市高分辨率人为源排放清单建立及在WRF-Chem中应用评估
摘要点击 2565  全文点击 751  投稿时间:2020-07-09  修订日期:2020-08-18
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中文关键词  人为源排放清单  WRF-Chem模式  臭氧(O3)  PM2.5  时空分布
英文关键词  anthropogenic emission inventory  WRF-Chem model  O3  PM2.5  spatiotemporal distribution
作者单位E-mail
郭文凯 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000 guowk17@lzu.edu.cn 
李光耀 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000  
陈冰 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000  
夏佳琦 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000  
张瑞欣 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000  
刘晓 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000  
朱玉凡 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000  
陈强 兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000 chenqqh@lzu.edu.cn 
中文摘要
      城市尺度高分辨率人为源大气污染物排放清单是城市空气质量预报预警、污染成因分析和减排措施制定的重要基础数据,目前我国西部地区城市尺度的人为源排放清单研究仍然相对薄弱,能对接于空气质量模式的排放清单更为缺乏.本文整合已发表的清单文献,建立了可对接于空气质量模式的2016年兰州市城市尺度的人为源清单模型(HEI-LZ16),将之应用于WRF-Chem模式,评估HEI-LZ16的准确性和适用性.结果表明:兰州市2016年人为源排放的SO2、NOx、CO、NH3、VOCs、PM10、PM2.5、BC和OC总量分别为25642、53998、319003、10475、35289、49250、19822、2476和1482 t·a-1.在模拟时间内,HEI-LZ16相比于MEIC,O3和PM2.5的NME值分别减小了140.2%和28.8%,HEI-LZ16更加准确适用.分析了HEI-LZ16情景下模拟的PM2.5和O3时空分布,兰州市臭氧MDA8呈现冬春季城区低而郊区高,夏秋季河谷城区西部及其下风向地区高的分布特征,夏秋季高浓度区的分布受偏东风和光化学反应的共同影响,冬季城区O3浓度受NOx排放的抑制作用浓度反而降低.PM2.5浓度的高值区主要集中在黄河河谷盆地,本研究表明沿白银—兰州黄河河谷盆地走向的西侧存在一个污染物传输通道,其对兰州市环境空气质量具有较大的影响.
英文摘要
      City-scale high-resolution anthropogenic emission inventories are an important tool for ambient air quality forecasting and early warning, the analysis of underlying causes, and policy making. At present, city-scale anthropogenic emissions inventories for use in air quality models are scarce for West China. By studying the literature on emission inventories, this paper establishes a city-scale anthropogenic emission inventory for Lanzhou (HEI-LZ16) as the basis for an air quality model. The weather research and forecasting with chemistry (WRF-Chem) model was used to evaluate the applicability of the emission inventory at different resolutions in Lanzhou. The results showed that the emission amounts of SO2, NOx, CO, NH3, VOCs, PM10, PM2.5, BC, and OC in Lanzhou were 25642, 53998, 319003, 10475, 35289, 49250, 19822, 2476, and 1482 t·a-1 in 2016,respectively. Compared with the simulation scenario of multi-resolution emission inventory for China (MEIC), normalized mean error (NME) of O3 and PM2.5 under the HEI-LZ16 scenario decreased by 140.2% and 28.8%, respectively. The HEI-LZ16 inventory is more suitable for application in air pollution research in Lanzhou, which was verified by the WRF-Chem model and the observational data. The spatiotemporal distributions of PM2.5 and O3 were also analyzed using the HEI-LZ16 scenario. The ozone concentration of the maximum daily 8-h average (MDA8) in Lanzhou was low in urban areas and high in the suburbs during winter and spring, and high in the west of the urban valley and its downwind areas during summer and autumn. MDA8 in summer and autumn was influenced by easterly winds and photochemical reactions. In winter, ozone concentrations in urban areas are suppressed by NOx emissions but the concentration decreases. High PM2.5 concentrations are mainly concentrated within the Yellow River Valley. This study shows that there is a pollutant transmission channel along the western side of the Baiyin-Lanzhou Yellow River Valley, which has a greater impact on the ambient air quality in Lanzhou.

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