Flemish Institute for Technological Research, Boeretang 200, Mol, Belgium.
Environ Monit Assess. 2010 Jun;165(1-4):665-74. doi: 10.1007/s10661-009-0977-7. Epub 2009 Jun 3.
In this paper, we assess the status of the air quality in the Lake Baikal region which is strongly influenced by the presence of anthropogenic pollution sources. We combined the local data, with global databases, remote sensing imagery and modelling tools. This approach allows to inventorise the air-polluting sources and to quantify the air-quality concentration levels in the Lake Baikal region to a reasonable level, despite the fact that local data are scarcely available. In the simulations, we focus on the month of July 2003, as for this period, validation data are available for a number of ground-based measurement stations within the Lake Baikal region.
在本文中,我们评估了受人为污染源强烈影响的贝加尔湖地区的空气质量状况。我们将当地数据与全球数据库、遥感图像和建模工具相结合。这种方法可以查明空气污染源,并在当地数据稀缺的情况下,合理地量化贝加尔湖地区的空气质量浓度水平。在模拟中,我们重点关注 2003 年 7 月,因为在这个时期,贝加尔湖地区的一些地面测量站有验证数据。