ANALYSIS OF SPATIAL AND TEMPORAL VARIABILITY OF AEROSOL OPTICAL DEPTH OVER KARABUK USING MODIS

Duygu Arikan, Ferruh Yildiz
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Abstract

The concept of aerosol refers to the combination of microscopic solid or liquid particles present in the atmosphere along with a mixture of gases. These particles are suspended in the air at different sizes and are evaluated based on their ability to scatter or absorb light, which is quantified through a measurement known as aerosol optical depth. These particles' quantities are determined using specialized devices, commonly referred to as "aerosol optical depth meters" or "optical thickness meters." Additionally, through remote sensing technology, aerosol optical depth can also be measured via satellites. In this study, aerosol optical depth has been examined temporally and spatially in the Karabük province for 2022. For this aim, data from National Air Quality Monitoring Stations (NAQMS) situated nationwide was employed, along with MODIS satellite images. Data from five stations in Karabük province, namely Kardemir1, Kardemir2, Tören Alanı, 75.yıl, and Safranbolu, were used for temporal analysis, while satellite imagery was used for spatial analysis. The relationship between aerosol optical depths derived from MODIS satellite data using green and blue band information and station data was investigated. As a result, a 99% positive correlation was found between the two bands obtained from the MODIS satellite, and a significant correlation was observed between ground-based particulate matter 2.5(PM2.5) and particulate matter 10 (PM10) data. Data from the Tören Alanı station, which had a higher amount of data (357 days) compared to other stations, was used to determine this correlation. It was found that there was an 86.35% positive correlation among particulate matters. A moderate correlation was also identified between ground-based data and aerosol optical depth obtained from satellite imagery.
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利用模型分析卡拉布克上空气溶胶光学深度的时空变异性
气溶胶的概念是指存在于大气中的微小固体或液体颗粒与气体混合物的组合。这些颗粒以不同的大小悬浮在空气中,并根据其散射或吸收光线的能力进行评估,这种能力通过一种称为气溶胶光学深度的测量方法进行量化。这些颗粒的数量是通过专门的设备(通常称为 "气溶胶光学深度计 "或 "光学厚度计")来确定的。此外,通过遥感技术,还可以通过卫星测量气溶胶光学深度。本研究对卡拉比克省 2022 年的气溶胶光学深度进行了时间和空间研究。为此,研究人员采用了来自全国各地国家空气质量监测站(NAQMS)的数据以及 MODIS 卫星图像。时间分析采用卡拉比克省五个监测站的数据,即卡德米尔1站、卡德米尔2站、托伦阿兰站、75.耶尔站和萨夫兰博卢站,空间分析采用卫星图像。研究了利用绿色和蓝色波段信息从 MODIS 卫星数据中得出的气溶胶光学深度与观测站数据之间的关系。结果发现,从 MODIS 卫星获得的两个波段之间存在 99% 的正相关性,地面颗粒物 2.5(PM2.5)和颗粒物 10(PM10)数据之间存在显著相关性。特伦阿兰站的数据量(357 天)高于其他站点,该站的数据被用于确定这种相关性。结果发现,颗粒物之间存在 86.35% 的正相关性。地面数据与卫星图像获得的气溶胶光学深度之间也存在一定的相关性。
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