Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment
Ukraine is an associate member of the European Union, and in the coming years, it is expected that all the data and services already used by European Union countries will become available for Ukraine. An important program, which is the basis for building European monitoring services for smart cities...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/23/4769 |
| _version_ | 1797507323967569920 |
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| author | Andrii Shelestov Hanna Yailymova Bohdan Yailymov Nataliia Kussul |
| author_facet | Andrii Shelestov Hanna Yailymova Bohdan Yailymov Nataliia Kussul |
| author_sort | Andrii Shelestov |
| collection | DOAJ |
| description | Ukraine is an associate member of the European Union, and in the coming years, it is expected that all the data and services already used by European Union countries will become available for Ukraine. An important program, which is the basis for building European monitoring services for smart cities, is the Copernicus program. The two most important services of this program are the Copernicus Land Monitoring Service (CLMS) and the Copernicus Atmosphere Monitoring Service (CAMS). CLMS provides important information on land use in Europe. In the context of smart cities, the most valuable tool is the Urban Atlas service, which is related to local CLMS services and provides a detailed digital city plan in vector form, which is segmented into small functional areas classified by Coordinate Information on the Environment (CORINE) nomenclature. The Urban Atlas is a geospatial layer with high resolution, built for all European cities with a population of more than 100,000. It combines high-resolution satellite data, city segmentation by blocks and functional urban areas (FUAs), important city infrastructure, etc. This product is used as a basis for city planning and obtaining analytics on the most important indicators of city development, including air quality monitoring. For Ukraine, such geospatial products are not provided under the Copernicus program. In this article, FUAs are developed for Ukrainian cities using European technology. It is important to start work on this program’s implementation as early as possible so that when the first city atlas appears, Ukraine will be ready to work with it together with the European community. This requires preparing the basis for national research and training national stakeholders and consumers to use this product. To make this happen, it is necessary to have a national geospatial product that can be used as an analogue of the city atlas. In this article, the authors analyzed the existing methods of air quality assessment and the Global Sustainable Development Goal (SDG) indicator 11.6.2, “Annual mean levels of fine particulate matter (e.g., PM<sub>2.5</sub> and PM<sub>10</sub>) in cities (population weighted)”, achieved for European cities. Based on this, indicator 11.6.2 was then evaluated for the first time in Ukraine, considering the next 5 years. For the correct use of global products for Ukraine, CAMS global satellite data and population data (Global Human Settlement Layer and NASA population data) for Ukrainian cities were validated. These studies showed a statistically significant result and, therefore, demonstrated that global products can be used to monitor air quality both at the city level and for Ukraine as a whole. The obtained results were analyzed, and the values of indicator 11.6.2 for Ukraine were compared with those for other European countries. |
| first_indexed | 2024-03-10T04:46:55Z |
| format | Article |
| id | doaj.art-e237990fd8c3444d9ae61e37cfa25d69 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T04:46:55Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e237990fd8c3444d9ae61e37cfa25d692023-11-23T02:56:05ZengMDPI AGRemote Sensing2072-42922021-11-011323476910.3390/rs13234769Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator AssessmentAndrii Shelestov0Hanna Yailymova1Bohdan Yailymov2Nataliia Kussul3Department of Mathematical Modelling and Data Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 03056 Kyiv, UkraineDepartment of Mathematical Modelling and Data Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 03056 Kyiv, UkraineDepartment of Space Information Technologies and Systems, Space Research Institute NAS Ukraine & SSA Ukraine, 03187 Kyiv, UkraineDepartment of Mathematical Modelling and Data Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 03056 Kyiv, UkraineUkraine is an associate member of the European Union, and in the coming years, it is expected that all the data and services already used by European Union countries will become available for Ukraine. An important program, which is the basis for building European monitoring services for smart cities, is the Copernicus program. The two most important services of this program are the Copernicus Land Monitoring Service (CLMS) and the Copernicus Atmosphere Monitoring Service (CAMS). CLMS provides important information on land use in Europe. In the context of smart cities, the most valuable tool is the Urban Atlas service, which is related to local CLMS services and provides a detailed digital city plan in vector form, which is segmented into small functional areas classified by Coordinate Information on the Environment (CORINE) nomenclature. The Urban Atlas is a geospatial layer with high resolution, built for all European cities with a population of more than 100,000. It combines high-resolution satellite data, city segmentation by blocks and functional urban areas (FUAs), important city infrastructure, etc. This product is used as a basis for city planning and obtaining analytics on the most important indicators of city development, including air quality monitoring. For Ukraine, such geospatial products are not provided under the Copernicus program. In this article, FUAs are developed for Ukrainian cities using European technology. It is important to start work on this program’s implementation as early as possible so that when the first city atlas appears, Ukraine will be ready to work with it together with the European community. This requires preparing the basis for national research and training national stakeholders and consumers to use this product. To make this happen, it is necessary to have a national geospatial product that can be used as an analogue of the city atlas. In this article, the authors analyzed the existing methods of air quality assessment and the Global Sustainable Development Goal (SDG) indicator 11.6.2, “Annual mean levels of fine particulate matter (e.g., PM<sub>2.5</sub> and PM<sub>10</sub>) in cities (population weighted)”, achieved for European cities. Based on this, indicator 11.6.2 was then evaluated for the first time in Ukraine, considering the next 5 years. For the correct use of global products for Ukraine, CAMS global satellite data and population data (Global Human Settlement Layer and NASA population data) for Ukrainian cities were validated. These studies showed a statistically significant result and, therefore, demonstrated that global products can be used to monitor air quality both at the city level and for Ukraine as a whole. The obtained results were analyzed, and the values of indicator 11.6.2 for Ukraine were compared with those for other European countries.https://www.mdpi.com/2072-4292/13/23/4769air quality monitoringPM<sub>2.5</sub>sustainable development goalsSDG indicator 11.6.2 |
| spellingShingle | Andrii Shelestov Hanna Yailymova Bohdan Yailymov Nataliia Kussul Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment Remote Sensing air quality monitoring PM<sub>2.5</sub> sustainable development goals SDG indicator 11.6.2 |
| title | Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment |
| title_full | Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment |
| title_fullStr | Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment |
| title_full_unstemmed | Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment |
| title_short | Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment |
| title_sort | air quality estimation in ukraine using sdg 11 6 2 indicator assessment |
| topic | air quality monitoring PM<sub>2.5</sub> sustainable development goals SDG indicator 11.6.2 |
| url | https://www.mdpi.com/2072-4292/13/23/4769 |
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