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Enregistrement W3211546547 · doi:10.1016/s2542-5196(21)00287-4

New WHO global air quality guidelines: more pressure on nations to reduce air pollution levels

2021· article· en· W3211546547 sur OpenAlex

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Notice bibliographique

RevueThe Lancet Planetary Health · 2021
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAir Quality and Health Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAir quality indexAir pollutionEnvironmental sciencePollutionEnvironmental planningQuality (philosophy)Environmental healthEnvironmental protectionBusinessMedicineMeteorologyGeographyChemistryBiology

Résumé

récupéré en direct d'OpenAlex

After the accumulation of evidence over 16 years since the last global update in 2005, WHO has released updated global air quality guidelines.1WHOAmbient (outdoor) air pollution.https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-healthDate: Sept 22, 2021Date accessed: September 22, 2021Google Scholar The new reference values are considerably lower for most air pollutants than in the previous guidelines. For example, annual means were decreased from 10 to 5 μg/m3 for PM2·5, 20 to 15 μg/m3 for PM10, and 40 to 10 μg/m3 for nitrogen dioxide. 24-h limits were also lowered, although to a lesser degree. These new reference values reflect findings from studies which have shown that even lower levels of air pollution might be harmful to human health.2Huttunen K Siponen T Salonen I et al.Low-level exposure to ambient particulate matter is associated with systemic inflammation in ischemic heart disease patients.Environ Res. 2012; 116: 44-51Crossref PubMed Scopus (80) Google Scholar, 3Hanigan IC Rolfe MI Knibbs LD et al.All-cause mortality and long-term exposure to low level air pollution in the ‘45 and up study’ cohort, Sydney, Australia, 2006–2015.Environ Int. 2019; 126: 762-770Crossref PubMed Scopus (32) Google Scholar, 4Wolf K Hoffmann B Andersen ZJ et al.Long-term exposure to low-level ambient air pollution and incidence of stroke and coronary heart disease: a pooled analysis of six European cohorts within the ELAPSE project.Lancet Planet Health. 2021; 5: e620-e632Summary Full Text Full Text PDF PubMed Scopus (2) Google Scholar With an estimated global toll of 7 million deaths related to air pollution annually with the previous guidelines in place, it is expected that millions of lives will be saved if countries comply with these new guidelines. Although many countries have their own air quality standards, WHO air quality guidelines are generally stricter, especially if compared with those adopted by low-income and middle-income countries (LMICs). Air quality guidelines, associated with air quality monitoring, have managed to induce a decrease in air pollution levels in many cities and countries over the past two decades. Despite still having high air pollution levels, China, for example, has been managing to substantially reduce its air pollutant levels in the past decade, resulting in health benefits to its population.5Yang C Policies, regulatory framework and enforcement for air quality management: the case of China–Environment working paper No 157.https://www.oecd-ilibrary.org/environment/policies-regulatory-framework-and-enforcement-for-air-quality-management-the-case-of-china_7d1d1a82-enDate: March 13, 2020Date accessed: September 24, 2021Google Scholar To evaluate the challenge imposed by the new WHO air quality guidelines, we used data from WHO air quality reports for PM2·5 for 2014, 2016, and 2018,6WHOAir quality database: update 2018.https://www.who.int/data/gho/data/themes/air-pollution/who-air-quality-databaseDate: 2018Date accessed: September 23, 2021Google Scholar the most recent report available, and compared the levels of this pollutant, and the percentage reduction from 2018 PM2·5 levels that would be necessary to meet the new WHO guidelines in 47 selected cities with different levels of air pollution, distributed across six continents (appendix p 1). Cities were divided into lower and higher levels of air pollution (cutoff 35 μg/m3). Most of the cities in the lower air pollution group are in high-income countries, whereas most cities in the higher air pollution group are in LMICs. Although some cities showed decreases in PM2·5 annual means from 2014 to 2018 according to WHO air quality data, and for some of the cities with lower levels of air pollution these values were enough for them to meet the previous WHO guidelines, the new guidelines will demand increased efforts to further reduce PM2·5 levels. This scenario includes cities with already low PM2·5 levels, of less than 10 μg/m3, such as Adelaide (Australia), Auckland (New Zealand), Helsinki (Finland), Stockholm (Sweden), and Vancouver (Canada), as well as cities that managed to decrease air pollution levels from 2014 to 2018, such as New York (USA) and Oslo (Norway). Cities such as Amsterdam (Netherlands), Barcelona (Spain), Lisbon (Portugal), London (UK), Los Angeles (USA), Moscow (Russia), Rio de Janeiro (Brazil), and Rome (Italy) had decreasing PM2·5 levels between 2014 and 2018 and were close to meet previous WHO guidelines. However, other cities, such as Berlin (Germany), Frankfurt (Germany), São Paulo (Brazil), Tokyo (Japan), and in particular Mexico City (Mexico), Milan (Italy), and Seoul (South Korea), showed air pollution levels in 2018 that were well above the previous WHO guidelines. From the list of the 30 cities with lower PM2·5 values, only Porto (Portugal) and Stockholm had concentrations in 2018 that would comply with the new WHO guidelines of 5 μg/m3. Cities such as Adelaide, Auckland, Helsinki, New York, and Vancouver will need a reduction in PM2·5 concentrations of less than 30% and will probably be the cities to first meet these new guidelines. However, many of these cities with lower air pollution will still need a 50–77% reduction in PM2·5 concentrations and will probably require a much greater effort to comply with the new WHO guidelines. Most of the selected cities with higher air pollution levels are located in LMICs in Africa, south Asia, east Asia, and the Pacific, or in the Middle East, while some are in eastern Europe. Due to their higher air pollution levels, all of these cities will need at least an 80% reduction in 2018 PM2·5 concentrations to meet the new guidelines. The situation is particularly concerning in Mumbai (India), which will need a 92% decrease, Beijing (China) and Riyadh (Saudi Arabia; 93%), Karachi (Pakistan; 94%), Ulaanbaatar (Mongolia; 95%), and New Delhi (India; 97%). The new WHO global air quality guidelines set the target for air pollution even lower than in the previous guidelines, and are intended to further induce air pollution decreases all over the world. It is a difficult task and most cities, especially those with higher air pollution levels in LMICs, will probably need many years to get closer to these new guidelines. However, with the simultaneous pressure to reduce the use of fossil fuels to mitigate climate change, many countries have been establishing goals for reduction of CO2 emissions to comply with the Paris Agreement, which has been leading to an increase in clean energy generation7International Energy AgencyGlobal energy review 2021.https://www.iea.org/reports/global-energy-review-2021Date: 2021Date accessed: September 27, 2021Google Scholar and, until 2030, will lead to large-scale electrification of vehicles8International Energy AgencyGlobal EV outlook 2021.https://www.iea.org/reports/global-ev-outlook-2021Date: 2021Date accessed: September 27, 2021Google Scholar in high-income countries. The new WHO air quality guidelines will work as an additional driving force in the direction of a world where air pollution will be history. It will take time, but it is achievable. The sooner we get there, the more lives will be saved. I declare no competing interests. Download .pdf (.21 MB) Help with pdf files Supplementary appendix

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Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,597
Score d'incertitude au seuil0,988

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

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Tête enseignante Opus0,172
Tête enseignante GPT0,426
Écart entre enseignants0,254 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle