Prévisions de la qualité de l'air mondiale - 8 jours prédiction de PM2,5
Copernicus Atmosphere Monitoring Service NRT

Show forecast animation for :
PM2.5

City Forecast

Note: The colors used for PM2.5, PM10 and Ozone (O3) are based on the US EPA standard. The colors used for Nitrogen Dioxide (NO2), Sulphure Dioxide (SO2) and Carbon Monoxyde (CO) are based on an arbitrary color standard which best matches the concentration range. It does not have any relation with the AQI breakpoints, as in most cases, the AQI for those 3 gases is most often below 50.

Air Quality Forecasts Models

There are many forecast models, for different regions of the globe - below are few of them. Just click on any of them to see the animated map for the given model. For a full list of all forecast model and polutants, check the forecast/model page.

Please note that all above analysis are done on the World Air Quality Index (WAQI) project own budget.
We did not receive any subsidies from any of the intuitions publishing Air Quality forecast models.


Detailled City Air Quality Forecast


Detailled Air Quality Forecast is available for more than 600 cities:
Or just pick any of those cities: Pékin, Shanghai, Chengdu, Shenyang, Shenzhen, Canton, Qingdao, Xian, Tianjin, Saitama , Kyōto, Ōsaka, Séoul, Pusan, Bogotá, Delhi, Jakarta, Ulaanbaatar, Hanoi, Chennai, Calcutta, Mumbai, Hyderabad, Santiago , Lima, Sao Paulo, Quito, Singapour, Kuala Lumpur, Ipoh , Perai , Miri , New York, Seattle, Chicago, Boston , Atlanta.

Explanations & Credits

The above prediction is generated using the Copernicus Atmosphere Monitoring Service (CAMS) Information 2016



Partager 'Prévisions de la qualité de l'air mondiale - 8 jours prédiction de PM2,5 - Copernicus Atmosphere Monitoring Service NRT'
(http://aqicn.org/forecast/world/)

Future Improvements

Do you like our forecast model analysis tool called GOA?

Our objective is to create the best world air quality ensemble forecast - which can maximize the forecast accuracy and efficiency for any place on earth (and especially for the 600+ cities covered on the aqicn.org).

We are now looking at extending this GOA tool with many more models and features such as Artificial Intelligence (AI) based model correction, real-time deterministic statistic analysis, or automatic emission correction.

We are not in favor of replacing deterministic models with AI models, but rather to use the AI to complement the models and create the best ensemble model using deep learning solutions.

Do you link this idea? Do you want to contribute?

Disclaimer

This forecasting model, and all AQFS which it is based on, are research products intended to provide information related to Air Quality forecast. All reasonable measures have been taken to ensure its quality and accuracy. However:
  • We do not make warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, correctness, completeness of the information.
  • We do not assume any legal liability or responsibility for any damage or loss that may directly or indirectly result from any information contained on this website or any actions taken as a result of the content of this website;
  • We may change, delete, add to, or otherwise amend information contained on this website without notice

For more information about the underlying concepts of Air Quality forecasting (or Atmospheric Dispertion Modeling), check the article on a visual study of wind impact of PM2.5 concentration.

À propos de la qualité et de la mesure de la pollution atmosphérique:

A propos des niveaux de qualité de l'air

IQANiveau de pollution de l'air Impact sur la santé
0 - 50 Bon La qualité de l'air est jugée satisfaisante, et la pollution de l'air pose peu ou pas de risque.
51 -100 Modéré Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution.
101-150 Mauvais pour les groupes sensibles La qualité de l'air est acceptable; Cependant, pour certains polluants, il peut y avoir un problème de santé modérée pour un très petit nombre de personnes qui sont particulièrement sensibles à la pollution de l'air.
151-200 Mauvais Tout le monde peut commencer à ressentir des effets sur la santé; les membres des groupes sensibles peuvent ressentir des effets de santé plus graves.
201-300 Très mauvais Avertissements de santé de conditions d'urgence. Toute la population est plus susceptible d'être affecté.
300+ Dangereux Alerte de santé: tout le monde peut ressentir des effets de santé plus graves.

Pour en savoir plus sur la qualité de l'air, consultez le sujet Qualité de l'air sur wikipedia ou le guide AirNow de la qualité de l'air et de votre santé .

Pour des conseils de santé très utiles de Docteur Richard Saint Cyr, consultez le blog myhealthbeijing.com.


Usage Notice: All the Air Quality data are unvalidated at the time of publication, and due to quality assurance these data may be amended, without notice, at any time. The World Air Quality Index project has exercised all reasonable skill and care in compiling the contents of this information and under no circumstances will the World Air Quality Index project team or its agents be liable in contract, tort or otherwise for any loss, injury or damage arising directly or indirectly from the supply of this data.



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