Kuala Lumpur Air Quality Forecast

The row below the Air Quality forecast shows the wind speed (in meters per second) and wind direction.
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Other Cities
The detailled forecast analysis is also availalbe for other cities: Or just pick any of those cities: Beijing, Shanghai, Chengdu, Shenyang, Shenzhen, Guangzhou, Qingdao, Xian, Tianjin, Saitama, Kyoto, Osaka, Seoul, Busan, Bogotá, Delhi, Jakarta, Ulaanbaatar, Hanoi, Chennai, Kolkata, Mumbai, Hyderabad, Santiago, Lima, Sao Paulo, quito, Singapore, Ipoh, Perai, Miri, New York, Seattle, Chicago, Boston, Atlanta.
For other cities, countries or pollutants, please refer to the waqi.info world air quality forecast.

Forecast Map

City Forecast

Model Comparison

This section is experimental. It provides the comparison for the prediction for several individual forecast models

For a full list of all Air Quality Forecast models beeing analysed, check the Forecast Models page.

Forecast Analysis

How accurate are the forecasts? Check the correlation graphs below for PM2.5, PM10 and Ozone for the past 30 days. (Note that all values are based on the AQI, and that a maximum threshold of 300 is used).


Past month PM2.5 AQI short-term forecast analysis.

In the above graph, the forecast is data is the forecast one day in advance (i.e. the forecast computed today for tomorrow).

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.


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? We too! But our funding is currently too limited to allow us investing in it, and this is why we need help - your help!

Forecast Model Sources

The above prediction is based on composite meta model, computed using several Air Quality Forecasting Systems (AQFS): The above map is based on the PM2.5 surface level modeling, and colors are following the US EPA AQI standard.

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.

About the Air Quality and Pollution Measurement:

About the Air Quality Levels

AQIAir Pollution LevelHealth ImplicationsCautionary Statement (for PM2.5)
0 - 50 Good Air quality is considered satisfactory, and air pollution poses little or no risk None
51 -100 Moderate 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. Active children and adults, and people with respiratory disease, such as asthma, should limit prolonged outdoor exertion.
101-150 Unhealthy for Sensitive Groups Members of sensitive groups may experience health effects. The general public is not likely to be affected. Active children and adults, and people with respiratory disease, such as asthma, should limit prolonged outdoor exertion.
151-200 Unhealthy Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects Active children and adults, and people with respiratory disease, such as asthma, should avoid prolonged outdoor exertion; everyone else, especially children, should limit prolonged outdoor exertion
201-300 Very Unhealthy Health warnings of emergency conditions. The entire population is more likely to be affected. Active children and adults, and people with respiratory disease, such as asthma, should avoid all outdoor exertion; everyone else, especially children, should limit outdoor exertion.
300+ Hazardous Health alert: everyone may experience more serious health effects Everyone should avoid all outdoor exertion

To know more about Air Quality and Pollution, check the wikipedia Air Quality topic or the airnow guide to Air Quality and Your Health.

For very useful health advices of Beijing Doctor Richard Saint Cyr MD, check www.myhealthbeijing.com blog.


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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