论文标题
使用MODIS数据识别和定量拉合尔地区的气溶胶热点
Identification and Quantification of Aerosol Hot-spots over Lahore Region using MODIS Data
论文作者
论文摘要
由于不断增长的城市化和各种行业的发展引起的空气中气溶胶的浓度增加对人类健康，环境和气候产生了可怕的影响。在任何区域中反对空气污染的不利影响的第一步是鉴定具有高浓度气溶胶（称为气溶胶热点）的位置。我们特别关注巴基斯坦拉合尔地区，这座城市始终被列为世界上十大最受污染的城市之一。为了鉴定城市中的气溶胶热点，我们利用了《 Aqua卫星》上中等分辨率成像谱仪（MODIS）的两年（2017-18）气溶胶光学厚度（AOT）数据。我们提出了一种基于Glowworm群优化（GSO）算法的方法，该算法在拉合尔（Lahore）上发现了包括主要高速公路和工业区域的几个气溶胶热点。此外，我们制定了两个定量指标，以评估每个热点上的气溶胶含量量。我们还分析了气溶胶含量的时间变化，这表明在热点中增加或抑制污染源。与以前的研究不同，我们的工作提供了对拉合尔区域气溶胶浓度的新洞察力，并呼吁维持落在已确定的气溶胶热点下的区域的空气质量。
The increased concentration of aerosols in the air caused by ever-rising urbanization and the development of various industries has horrendous consequences on human health, environment and climate. The first step to counter adverse effects of air pollution in any region is to identify locations with a high concentration of aerosols, termed aerosol hot-spots. We specifically focus on the region of Lahore, Pakistan, a city that has consistently been ranked among the top ten most polluted cities in the world. In order to identify aerosol hot-spots in the city, we utilize two-year (2017-18) Aerosol Optical Thickness (AOT) data from MODerate resolution Imaging Spectroradiometer (MODIS) on the Aqua satellite. We propose a method based on the Glowworm Swarm Optimization (GSO) algorithm that discovers several aerosol hot-spots over Lahore comprising of major highways and industrial areas. Furthermore, we formulate two quantification metrics to gauge the amount of aerosol content over each hot-spot. We also analyze the temporal variation of aerosol content that suggests the addition or suppression of pollution sources in the hot-spots. Unlike previous studies, our work provides novel insight into the regional aerosol concentration of Lahore and calls for maintenance of air quality of the regions falling under the identified aerosol hot-spots.
