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Novel application of satellite and in-situ measurements to map surface-level NO2 in the Great Lakes region

机译:卫星和原位测量的新应用在大湖区地图地面No2

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Ozone Monitoring Instrument (OMI) tropospheric NO2 vertical column density data were used in conjunction with in-situ NO2 concentrations collected by permanently installed monitoring stations to infer 24 h surface-level NO2 concentrations at 0.1 (~11 km) resolution. The region examined included rural and suburban areas, and the highly industrialised area of Windsor, Ontario, which is situated directly across the US-Canada border from Detroit, MI. Photolytic NO2 monitors were collocated with standard NO2 monitors to provide qualitative data regarding NOz interference during the campaign. The accuracy of the OMI-inferred concentrations was tested using two-week integrative NO2 measurements collected with passive monitors at 18 locations, approximating a 15 km grid across the region, for 7 consecutive two-week periods. When compared with these passive results, satellite-inferred concentrations showed an 18% positive bias. The correlation of the passive monitor and OMI-inferred concentrations (R=0.69, n=115) was stronger than that for the passive monitor concentrations and OMI column densities (R=0.52), indicating that using a sparse network of monitoring sites to estimate concentrations improves the direct utility of the OMI observations. OMI-inferred concentrations were then calculated for four years to show an overall declining trend in surface NO2 concentrations in the region. Additionally, by separating OMI-inferred surface concentrations by wind direction, clear patterns in emissions and affected down-wind regions, in particular around the US-Canada border, were revealed.
机译:臭氧监测仪器(OMI)对流层NO2垂直柱密度数据与由永久安装的监测站收集的原位NO2浓度结合使用,以在0.1(〜11km)分辨率下推断24小时表面水平NO2浓度。该地区审查了农村和郊区地区,安大略省温莎的高度工业化地区,该地区位于底特律底特律的美国加拿大边境。将光解NO2显示器与标准NO2监视器并置,以在活动期间提供关于NOZ干扰的定性数据。使用在18个位置的无源显示器收集的两周整合NO2测量测试了OMI推断的浓度的准确性,近似于整个区域的15km网格,连续的两周时间。与这些被动结果相比,卫星推断的浓度显示出18%的正偏压。被动监测器和OMI推断浓度(r = 0.69,n = 115)的相关性比被动监测浓度和oomi柱密度(r = 0.52)更强,表明使用监测站点的稀疏网络来估计浓度改善了OMI观察的直接效用。然后计算OMI推断浓度四年,以显示该地区表面NO2浓度的总体下降趋势。另外,通过通过风向分离Omi推断的表面浓度,揭示了排放的清晰模式,特别是在美国加拿大边界周围受到影响。

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