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Application of Lidar in the Observation of Atmospheric Particulate Pollutants in Taipei

机译:激光雷达在台北市​​大气颗粒物污染物观测中的应用

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For the assessment of climatic impact of aerosols, the knowledge of both the temporal and spatial distributions of aerosol is essential. Laser radar, more popularly known as Lidar, has becoming one of the most powerful techniques for active detection of aerosols in the atmosphere. Lidar can provide vertically resolved of extinction and backscatter coefficients, and thereby the height of the planetary boundary layer or the nighttime residual layer. As the long-term changes in the structure and dynamics of the lower and middle troposphere is now becoming a priority, a pulsed Nd:YAG Lidar system is applied for measuring the vertical distribution of aerosol properties in the metropolitan Taipei. Two years (2004-2005) of aerosol optical depth (AOD) measured by Lidar, Cimel Sunphotometer and MODerate resolution Imaging Spectroradiometer (MODIS) were compared. The AOD shows strong seasonal variation with maximum values (AOD_(Lidar) > 1, AOD_(Cimel) > 1 and AOD_(modis) > 0.39) occurred in April. AOD_(modis) shows significant underestimation. AOD_(Lidar) has good correlation with AOD_(Cimel), but the Lidar measurement is biased toward lower values as presented by the 0.725 slope in the linear regression. This bias is mostly caused by the Lidar blind distance at the lowest part of the atmosphere. The R-squared of AOD_(Cimel) and surface PM_(2.5) concentration is about 0.44. This reflects the fact that the atmospheric boundary layer is often not well-mixed, so aerosols there cannot represent the total AOD value. Particles in the free troposphere also need to be concerned. Further comparison of our Lidar data with the CALIPSO measurements is intended.
机译:为了评估气溶胶对气候的影响,必须了解气溶胶的时空分布。激光雷达(俗称激光雷达)已成为主动检测大气中气溶胶的最强大技术之一。激光雷达可提供消光系数和反向散射系数的垂直分辨率,从而可提供行星边界层或夜间残留层的高度。随着对流层中低层结构和动力学的长期变化成为当务之急,Nd:YAG脉冲激光雷达系统被用于测量台北市区的气溶胶特性的垂直分布。比较了用激光雷达,Cimel日光光度计和MODerate分辨率成像光谱仪(MODIS)测量的两年(2004-2005)气溶胶光学深度(AOD)。 AOD表现出强烈的季节性变化,4月出现最大值(AOD_(Lidar)> 1,AOD_(Cimel)> 1和AOD_(modis)> 0.39)。 AOD_(modis)被大大低估了。 AOD_(Lidar)与AOD_(Cimel)具有良好的相关性,但线性回归中的0.725斜率表示,Lidar测量值偏向较低的值。这种偏差主要是由大气最下部的激光雷达盲距离引起的。 AOD_(Cimel)和表面PM_(2.5)浓度的R平方约为0.44。这反映了这样一个事实,即大气边界层通常没有很好地混合,因此那里的气溶胶不能代表总的AOD值。自由对流层中的粒子也需要考虑。我们打算进一步将我们的激光雷达数据与CALIPSO测量结果进行比较。

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