Прогнозы качества воздуха в Пекин

The row below the Air Quality forecast shows the wind speed (in meters per second) and wind direction.
Поделиться 'Прогнозы качества воздуха в Пекин' - (http://aqicn.org/forecast/beijing/)
Other Cities
The detailled forecast analysis is also availalbe for other cities: Or just pick any of those cities: Шанхай, Чэнду, Шэньян, Шэньчжэнь, Кантон, Циндао, Сиань, Тяньцзинь, Саитама, Киото, Осака, Сеул, Пусан, Богота, Дели, Джакарта, Ulaanbaatar, Ханой, Ченнаи, Колката, Мумбаи, Хайдарабад, Сантьяго, Лима, Сан-Паулу, Кито, Сингапур, Куала-Лумпур, Ipoh, Perai, Мири, Нью-Йорк, Seattle, Чикаго, Бостон, 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.

О качестве воздуха и измерениях загрязнения:

О уровнях качества воздуха

- Индекс качества воздуха (ИКВ = AQI) ЗначенияУровни концерна здравоохранения
0 - 50 хорошо Качество воздуха считается удовлетворительным, и загрязнение воздуха представляется незначительным в пределах нормы.
51 -100 удовлетворительное Качество воздуха является приемлемым; однако некоторые загрязнители могут представлять опасность для людей, являющихся особо чувствительным к загрязнению воздуха.
101-150 Нездоровый для чувствительных групп Может оказывать эффект на особо чувствительную группу лиц. На среднего представителя не оказывает видимого воздействия.
151-200 нездоровый Каждый может начать испытывать последствия для своего здоровья; особо чувствительные люди могут испытывать более серьезные последствия.
201-300 Очень Нездоровый Опасность для здоровья от чрезвычайных условий. Это отразится, вероятно, на всем населении.
300+ опасный Опасность для здоровья: каждый человек может испытывать более серьезные последствия для здоровья

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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Temperature unit:
Celcius