Space-borne air pollution observation from Sentinel-5p Tropomi: relationship between pollutants, geographical and demographic data

Abstract

This study presents an analysis of the mean atmospheric column nitrogen dioxide (NO2) and carbon monoxide (CO) over the Republic of North Macedonia during a six-month period. Measurements of NO2 and CO obtained from the recently launched Sentinel-5 Precursor spacecraft with TROPOspheric Monitoring Instrument (Sentinel-5P TROPOMI) have been used. The aim of this study was to use relatively high-resolution satellite data for local air quality/air pollution monitoring and to investigate the relation of the pollutants with geographical and demographical data of the study area. For that purpose, along with CO and NO2 data from TROPOMI, population statistics, digital elevation model and vegetation cover have been used for geo-spatial and statistical analyses. The findings show significantly high CO and NO2 values in several parts of the study area, especially high CO values in the Vardar and Polog Valleys, and high NO2 values in the densely populated cities. According to the analyses, there is high positive correlation between the NO2 and the population statistics (r = 0.78; R 2 = 0.61) and high negative correlation (r = -0.9; R 2 = 0.80) between the altitude and the CO values of the study area. The overall results of this study confirmed the capability of Sentinel-5P TROPOMI data to be used in monitoring the air quality and air pollution over local areas.

COVID-19: Spaceborne Nitrogen Dioxide Over Turkey

“…These changes are noticed in the most populated regions of Turkey, starting with Istanbul. The results can be supported with previous findings [8,13], where 50% of the NO2 over Turkey were correlated with population statistics. The detailed investigation about all of the 81 provinces in Turkey, also shows a significant decrease in the maximum NO2 amount.…”

Atmospheric air quality monitoring over the territory of Ukraine with specification over the cities using Sentinel-5P satellite data

“…У різних країнах Sentinel-5P зарекомендував себе як надійний допоміжний інструмент проведення аналізу та моніторингу якості атмосфер ного повітря [6][7][8][9][10]. Дані TROPOMI значно розширили можливості реаналізу хімічних складових атмосфери [11], який використовують не лише для інформування громадськості щодо стану забруднення, а й з метою отримання вхідної інформації для низки хіміко-метеорологічних моделей.…”

Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak

“…Following this direction, there is rich international literature focusing on developing digital models of NO 2 and for other aerosol-related pollution such as CO or PM2.5, by integrating geospatial data interpolation techniques starting from the existing ground station measurements [32,33], combined with pollutants' dispersion modelling [34,35], land use derived geographical regression for cities [36] and regions [37], and field or Canada. Other regional analyses correlate the NO 2 pollution models with population and demographic data [92].…”