Essential variables for air quality estimation. Issue 2 (1st February 2020)

• Record Type: Journal Article
• Authors: Shelestov, Andrii; Kolotii, Andrii; Borisova, Tatiana; Turos, Olena; Milinevsky, Gennadi; Gomilko, Igor; Bulanay, Tatyana; Fedorov, Oleg; Shumilo, Leonid; Pidgorodetska, Liudmyla; Kolos, Liudmyla; Borysov, Arsenii; Pozdnyakova, Natalia; Chunikhin, Alexander; Dudarenko, Marina; Petrosian, Arina; Danylevsky, Vassyl; Miatselskaya, Natalia; Choliy, Vasyl
• Is Part Of: International journal of digital earth. Volume 13:Issue 2(2020)
• Page Start: 278
• Page End: 298
• Publication Date: 2020-02-01
• Subjects: Essential variable -- sustainable development goal -- air quality -- remote sensing; Geographic information systems -- Periodicals; Sustainable development -- Information technology -- Periodicals; Social planning -- Information technology -- Periodicals; 910.285
• DOI: 10.1080/17538947.2019.1620881
• Languages: English
• ISSNs: 1753-8947

Abstract

ABSTRACT: Within this survey we describe the conceptual architecture of the infrastructure to measure PM2.5/PM10 concentration in the atmosphere over the Kyiv city using modern monitoring instruments. We define the requirements for information tools and network for informing Kyiv city community on the state of PM pollutions that will be created. This infrastructure will provide long-term PM2.5/PM10 observations that could be included in the AirBase network. The comprehensive review of in-situ and satellite measurements of PM2.5/PM10 is provided as well as the description current state-of-the-art for Air Quality monitoring with intelligent sensors and systems in Ukraine as-awhole and in Kyiv in particular. It is proposed to apply the concept of essential variables (EVs) used in Earth Observation to identify the variables that should be measured in priority when designing, deploying and maintaining observation systems. In this study we use and validate the global air quality products from Copernicus Atmosphere Monitoring Service obtained from modeling by GEOS-Chem model and other sources. The influence of PM and aerosols on a human health is estimated in terms of possible diseases and dangerous concentrations.