Удачный, Октябрьский район, Russia Air Pollution
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Real-time Air Quality Index (AQI)

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Air Quality Forecast
Air quality historical data
This air quality monitoring station is located at "Дивная улица, Сосны, Октябрьский район, Krasnoyarsk, Krasnoyarsk Urban Okrug, Krasnoyarsk Krai, Siberian Federal District, 660000, Russia".
This station is part of an air quality sensors network. If you own this station and you would like to make some updates - or if you have a station and would like to add it to this network, contact us from the data feed page.
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Air Quality widget & API access

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The GAIA air quality monitor uses laser particle sensors to measure in real-time PM2.5 and PM10 particle pollution, which is one of the most harmful air pollutants.

It is very easy to set up: It only requires a WIFI access point and a USB compatible power supply. Once connected, your real time air pollution levels are instantaneously available in on our maps.

The station comes together with 10-meter water-proof power cables, a power supply, mounting equipment and an optional solar panel.

Air Quality Rankings

AirNet Sensor Data Quality Analysis

This station is part of an air quality sensors network.

In order to ensure the highest level of data quality, the signal to noise ratio (SNR), defined as the coefficient of variation from the hourly readings, should be relatively low (below 33%).

Any measurement with SNR constantly higher than 10% could be biased because of incorrect sensor readings (such as defective fan or dust accumulation).

For more information, check the AirNet sensor data quality validation service for the sensor "Удачный, Октябрьский район, Russia": aqicn.org/station/validation/@116884/

AirNet World Wide Map

Airnet Network Feeds

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About the Air Quality and Pollution Measurement:

About the Air Quality Levels

AQI Air Pollution Level Health Implications Cautionary 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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