The Use of Remote Sensing Data for Modeling Air Quality in the Cities

Abstract

ABSTRACT:Monitoring of environmental pollution in the cities by the methods of remote sensing of the Earth is actual area of research for sustainable development. Ukraine has a poorly developed network of monitoring stations for air quality, the technical condition of which is deteriorating in recent years. Therefore, the possibility of obtaining data about the condition of air by remote sensing methods is of great importance. The paper considers the possibility of using the data about condition of atmosphere of the project AERONET to assess the air quality in Ukraine. The main pollution indicators were used data on fine particulate matter (PM2.5) and nitrogen dioxide (NO2) content in the atmosphere. The main indicator of air quality in Ukraine is the air pollution index (API). We have built regression models the relationship between indicators of NO2, which are measured by remote sensing methods and ground-based measurements of indicators. There have also been built regression models, the relationship between the data given to the land of NO2 and API. To simulate the relationship between the API and PM2.5 were used geographically weighted regression model, which allows to take into account the territorial differentiation between these indicators. As a result, the maps that show the distribution of the main types of pollution in the territory of Ukraine, were constructed. PM2.5 data modeling is complicated with using existing indicators, which requires a separate organization observation network for PM2.5 content in the atmosphere for sustainable development in cities of Ukraine.

Environmental and social analysis as risk factors for the spread of the novel coronavirus (SARS-CoV-2) using remote sensing, GIS and analytical hierarchy process (AHP): Case of Peru

“…Monitoring conditions of the air quality using remote sensing is important for health researches (Putrenko & Pashynska, 2017), in large geographical areas and very fine temporal resolution (Omrani et al, 2020). NO 2 data in the tropospheric air column was obtained from the Sentinel-5P satellite of the tropospheric monitoring instrument-TROPOMI (Eskes et al, 2019).…”

Spatial sensitivity analysis of COVID-19 infections concerning the satellite-based four air pollutants levels

“…Satellite-based data can be used for monitoring air quality and performing health research (Omrani et al 2020 ; Putrenko and Pashynska 2017 ). To obtain the daily tropospheric concentrations of CO, NO 2 , O 3 , and SO 2 from the surface up to ~ 10 km, satellite data were extracted from the Sentinel-5P Pre-Operations Data Hub ( https://s5phub.copernicus.eu/ ).…”

Data mining of sustainable development process with using nightlight indicators

“…But these studies do not provide an opportunity to assess the impact of individual factors in the structure of the sustainable development model. The papers [7,8] deals with research of using of Remote Sensing Data for modeling air quality in the Ukraine's cities. However, they do not provide a quantification assessment.…”