Air Quality Forecasting - also refered as 'Atmospheric Dispersion Modeling' (wikipedia) is the art of simulating how air pollutants (eg PM_2.5 or Ozone) disperse is the ambient atmosphere. The result of the simulation gives the ambient concentration for each air pollutants, from which the Air Quality Index can be calculated.

There are dozens of dispertion models, and many universities and institutions arround the world are running one or several of them for different regions (eg Europe, Continental US, Asia ...). Below is the a non-exaustive and selected list of few models which are beeing used for providing Air Quality forecast on the "World Air Quality Index" project.

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Help is needed for keeping the world-wide Air Quality forecast model inventory up-to-date.

Do you know any model not listed below but for which gridded data is available?

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You can click on any of the forecast map to see the real-time forecast animation, as well as the model efficiency analysis.

SPRINTARS Asia
Spectral Radiation-Transport Model for Aerosol Species

SPRINTARS East Asia
Spectral Radiation-Transport Model for Aerosol Species

MPIM China
Max Planck Institut fur Meteorologie

SILAM Asia
System for Integrated modeLling of Atmospheric coMposition

CAMS Asia / Panda
Copernicus Atmosphere Monitoring Service NRT

CAMS Europe
Copernicus Atmosphere Monitoring Service NRT

EMEP Europe
European Monitoring and Evaluation Program

CAMS World
Copernicus Atmosphere Monitoring Service NRT

SILAM World
System for Integrated modeLling of Atmospheric coMposition

NGAC
NOAA NEMS GFS Aerosol Component

GFS
Global Forecast System

NCEP EMP AQM
Air Quality Model (AQM) Product

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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 Air Quality Forecast is available for more than 600 cities: Or just pick any of those cities: 베이징, 상하이, 청두, 심양, 선전 시, 광둥, 청도, 시안, 천진, 사이타마, 교토 시, 오사카 시, 서울특별시, 부산광역시, 보고타, 델리, 자카르타, Ulaanbaatar, 하노이, 첸나이, 콜카타, 뭄바이, Hyderabad, 산티아고, 리마, 상파울루, 키토, 싱가포르, 쿠알라 룸푸르, 이포, Perai, 미리, 뉴욕, Seattle, 시카고, 보스턴, Atlanta.

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:

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• 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 PM_2.5 concentration.

The above prediction is based on composite meta model, computed using several Air Quality Forecasting Systems (AQFS):

• The Spectral Radiation-Transport Model for Aerosol Species (Sprintars) model from Kyushu University.
• The China National Air Quality forecast by Zhejiang Experts in Experimental Sciences (PM2.5科学实验专家小组).
• The Air Korea Air Quality forecast, by the Korean Integrated Air Quality forecast center(대기질 통합예보센터).
• The Copernicus Atmosphere Monitoring Service (CAMS) near-realtime surface ensemble forecast , by the ECMWF.
• The System for Integrated modeLling of Atmospheric coMposition (SILAM) by the FMI.
• The Max Planck Institut fur Meteorologie (MPIM) model.
• The Ozone Air Quality Model (AQM) by the NOAA/NCEP.
• The Regional Air Quality Deterministic Prediction System (RAQDPS) model from the Government of Canada.
• The irCELine (Belgian Interregional Environment Agency) for the Belgian Regions.
• The LCSQA (Laboratoire Central de Surveillance de la Qualité de l’Air) for France.
• The RIVM (Rijksinstituut voor Volksgezondheid en Milieu) for the Netherlands.
• The SILAM (System for Integrated modeLling of Atmospheric coMposition) for Northen Europe.
• The EURAD (EURopean Air Pollution Dispersion) for Central Europe.

The above map is based on the PM_2.5 surface level modeling, and colors are following the US EPA AQI standard.

대기질 지수 단계에 대하여

AQI	지수구분	구간의미
0 - 50	좋음	대기오염 관련 질환자군에서도 영향이 유발되지 않을 수준
51 -100	보통	환자군에게 만성 노출시 경미한 영향이 유발될 수 있는 수준
101-150	민감군영향	환자군 및 민감군에게 유해한 영향이 유발될 수 있는 수준
151-200	나쁨	환자군 및 민감군(어린이, 노약자 등)에게 유해한 영향 유발, 일반인도 건강상 불쾌감을 경험할 수 있는 수준
201-300	매우나쁨	환자군 및 민감군에게 급성 노출시 심각한 영향 유발, 일반인도 약한 영향이 유발될 수 있는 수준
300+	위험	환자군 및 민감군에게 응급 조치가 발생되거나, 일반인에게 유해한 영향이 유발될 수 있는 수준

(Reference: see airkorea.or.kr)

대기질과 오염에 대해 더 많은 것을 알아보려면 위키피디아의 대기질 문서(영어)을 보거나 대기질과 건강에 대한 AirNow 가이드(영어)를 참조해보세요.

매우 유용한 베이징의 의학박사 Richard Saint Cyr MD의 건강 관련 팁을 보려면 www.myhealthbeijing.com 의 블로그를 확인하세요.