Satellite remote sensing of particulate matter and air quality assessment over global cities
Satellite remote sensing of particulate matter and air quality assessment over global cities
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DOI：
10.1016/j.atmosenv.2006.03.016
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发表时间：
2006-09-01
影响因子：
5
通讯作者：
Kumar, Naresh
中科院分区：
文献类型：
--
作者：
Gupta, Pawan;Christopher, Sundar A.;Kumar, Naresh
使用1年的气溶胶光学厚度（AOT）检索从中分辨率成像光谱辐射计（MODIS）上的美国宇航局的Terra和Aqua卫星沿着与地面测量的PM2.5质量浓度，我们评估颗粒物的空气质量在全球城市地区的不同位置分布在悉尼，德里，香港，纽约市和瑞士的26个地点。AOT和PM2.5质量之间的经验关系，结果表明，有一个很好的相关性，与0.96的线性相关系数箱平均的日平均卫星和地面的值。使用气象和其他辅助数据集，我们评估了风速，云量和混合高度（MH）对颗粒物（PM）空气质量的影响，并得出结论，这些数据是必要的，以进一步应用卫星数据进行空气质量研究。我们的研究清楚地表明，卫星获得的AOT是监测地球PM空气质量的一个很好的替代品。然而，我们的分析表明，PM2.5-AOT的关系强烈依赖于气溶胶浓度，环境相对湿度（RH），云量和混合层的高度。在相对湿度小于40- 50%RH的晴空条件下，大气相对湿度在100 - 200 m之间，MODIS AOT与PM2.5质量之间的相关性最高。未来的遥感传感器，如云-气溶胶激光雷达和红外探路者卫星观测（CALIPSO），有能力提供气溶胶的垂直分布，将进一步提高我们监测和预报空气污染的能力。这项研究是第一批审查全球几个地点的卫星和地面测量之间关系的研究之一。(c)2006爱思唯尔有限公司保留所有权利。
Using 1 year of aerosol optical thickness (AOT) retrievals from the MODerate resolution Imaging Spectro-radiometer (MODIS) on board NASA's Terra and Aqua satellite along with ground measurements of PM2.5 mass concentration, we assess particulate matter air quality over different locations across the global urban areas spread over 26 locations in Sydney, Delhi, Hong Kong, New York City and Switzerland. An empirical relationship between AOT and PM2.5 mass is obtained and results show that there is an excellent correlation between the bin-averaged daily mean satellite and ground-based values with a linear correlation coefficient of 0.96. Using meteorological and other ancillary datasets, we assess the effects of wind speed, cloud cover, and mixing height (MH) on particulate matter (PM) air quality and conclude that these data are necessary to further apply satellite data for air quality research. Our study clearly demonstrates that satellite-derived AOT is a good surrogate for monitoring PM air quality over the earth. However, our analysis shows that the PM2.5-AOT relationship strongly depends on aerosol concentrations, ambient relative humidity (RH), fractional cloud cover and height of the mixing layer. Highest correlation between MODIS AOT and PM2.5 mass is found under clear sky conditions with less than 40-50% RH and when atmospheric MH ranges from 100 to 200m. Future remote sensing sensors such as Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) that have the capability to provide vertical distribution of aerosols will further enhance our ability to monitor and forecast air pollution. This study is among the first to examine the relationship between satellite and ground measurements over several global locations. (c) 2006 Elsevier Ltd. All rights reserved.