Breathing the Same Air? Measuring Air Pollution in Cities and Regions:
This paper presents a new set of estimates of exposure to air pollution (fine particulate matter - PM2.5) at the city, regional and national levels for the 34 OECD countries, and at the regional and national levels for Brazil, China, India, Russia and South Africa. The estimates are developed by the...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2014
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Schriftenreihe: | OECD Regional Development Working Papers
no.2014/11 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This paper presents a new set of estimates of exposure to air pollution (fine particulate matter - PM2.5) at the city, regional and national levels for the 34 OECD countries, and at the regional and national levels for Brazil, China, India, Russia and South Africa. The estimates are developed by the computation of satellite-based observations. They have the advantage of providing consistent values of the magnitude and spatial distribution of air pollution to be compared across and within countries and over time. The paper also explores the association between shape of cities (population density, share of built-up area, extension of the hinterlands, etc.) and air pollution. The estimates of air pollution at (TL2) regional level have been used in the newly released OECD Regional Well-Being Database as a measure of the environmental dimension. |
Beschreibung: | 1 Online-Ressource (22 p.) 21 x 29.7cm. |
DOI: | 10.1787/5jxrb7rkxf21-en |
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spelling | Brezzi, Monica VerfasserIn aut Breathing the Same Air? Measuring Air Pollution in Cities and Regions Monica, Brezzi and Daniel, Sanchez-Serra Paris OECD Publishing 2014 1 Online-Ressource (22 p.) 21 x 29.7cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Regional Development Working Papers no.2014/11 This paper presents a new set of estimates of exposure to air pollution (fine particulate matter - PM2.5) at the city, regional and national levels for the 34 OECD countries, and at the regional and national levels for Brazil, China, India, Russia and South Africa. The estimates are developed by the computation of satellite-based observations. They have the advantage of providing consistent values of the magnitude and spatial distribution of air pollution to be compared across and within countries and over time. The paper also explores the association between shape of cities (population density, share of built-up area, extension of the hinterlands, etc.) and air pollution. The estimates of air pollution at (TL2) regional level have been used in the newly released OECD Regional Well-Being Database as a measure of the environmental dimension. Urban, Rural and Regional Development Sanchez-Serra, Daniel MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/5jxrb7rkxf21-en Volltext |
spellingShingle | Brezzi, Monica Breathing the Same Air? Measuring Air Pollution in Cities and Regions Urban, Rural and Regional Development |
title | Breathing the Same Air? Measuring Air Pollution in Cities and Regions |
title_auth | Breathing the Same Air? Measuring Air Pollution in Cities and Regions |
title_exact_search | Breathing the Same Air? Measuring Air Pollution in Cities and Regions |
title_full | Breathing the Same Air? Measuring Air Pollution in Cities and Regions Monica, Brezzi and Daniel, Sanchez-Serra |
title_fullStr | Breathing the Same Air? Measuring Air Pollution in Cities and Regions Monica, Brezzi and Daniel, Sanchez-Serra |
title_full_unstemmed | Breathing the Same Air? Measuring Air Pollution in Cities and Regions Monica, Brezzi and Daniel, Sanchez-Serra |
title_short | Breathing the Same Air? Measuring Air Pollution in Cities and Regions |
title_sort | breathing the same air measuring air pollution in cities and regions |
topic | Urban, Rural and Regional Development |
topic_facet | Urban, Rural and Regional Development |
url | https://doi.org/10.1787/5jxrb7rkxf21-en |
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