Guide to publishing Air Quality data on the World Air Quality Index project

Share: aqicn.org/publishingdata/es/

Publishing data on the World Air Quality Index project is free for every one. But it is also simple and straightforward: All you need to add data on the World Air Quality Index map is to provide a feed URL with the real-time information about the monitoring stations (name and location), the pollutants being measured and the real-time readings (together with the units, for instance milligrams or ppb).


Qualification Criteria

Note that the data published on the World Air Quality Index map is only official data provided by each country respective Environmental Protection Agency (see the full EPA list). Those official data are monitored using professional BAM and TEOM-like Air Quality monitoring stations.

Those stations are not trivial, and do require constant maintenance and calibration by the EPA professional field-engineering teams. Therefore, except from specific conditions (e.g. if there no coverage in a country or a given region / city), the World Air Quality Index project does not accept any form of data generated from non-professional Air Quality monitors.

If your country or city does not have official monitoring, it is acceptable to report data from more affordable instant air particle counters (eg PMS, SDS,..). While we do recommend to use the semi-professional GAIA air quality monitoring stations for this purpose, we, however, accept data from other stations. Nevertheless, such particle counter-based stations need to report enhanced data feed with additional quality controls (see quality control section).

Feed format

Since almost every country has its own reporting format, the World Air Quality Index project can accept any kinds of formats for the feeds: They can be in CSV, JSON or just plain text or HTML format. You can find at the bottom of this page 3 example for CSV, HTML and JSON.

For reference, check the official feeds for Singapore, Peru or Netherlands and notice that despite they are all different, they can be ingested by our system.

For the instant air particle counters, you can either report the data via our own web server, or via the thingspeak.

Data ingestion

The World Air Quality Index system will take care of regularly checking the data from the feed, and each time an update is available, it will be processed, converted to the US EPA scale AQI values, and publish on the World Air Quality Index website within minutes.

Also, although only PM2.5, PM10, Ozone, NO2, SO2 and CO Air Quality data is published, the system does collect more pollutants for forecasting purpose: Benzen, Toluene, Ethylbenzene, NOx, THC, NMHC, PM1, Formaldehyde, Mercury, Ammonia, Methane, Hydrogen sulfide, Nitrous acid, Phenol, Naphthalene, paraxylene (p-Xylen), metaxylene (m-Xylen), etc..

It is also possible to publish meteorological data: Temperature, Atmospheric Pressure, Humidity, Precipitation, Wind Speed, Wind Direction, Solar Radiation and UVI. If not provided, we will use other relevant meteorologic information sources.

Feed Example (CSV format)

 #ID: ID_BEI_DC
#City: Beijing
#Station: Dongcheng
#Name: 东城东四
#Latitude: 39.929
#Longitude: 116.417
#Timezone: +0800
Date,PM10,PM25,CO,Ozone,Sulphur Dioxide,Nitrogen Dioxide,AmbientTemperature,RelativeHumidity,WindDirection,WindSpeed,Pressure,RainGauge
Unit,ug/m3,ug/m3,ppm,µg/m3,µg/m3,µg/m3,°C,%,°,m/s,hPa,mm
10/29/2016 13:00,16,3,,58,10,3,32,66,200,3,1001,0
10/29/2016 14:00,19,8,,57,9,4,32,64,197,2,1001,0
10/29/2016 15:00,15,9,,52,47,17,30,72,190,2,1001,0
10/29/2016 16:00,31,19,,52,34,17,30,75,191,2,1001,0
10/29/2016 17:00,31,17,,49,49,19,29,75,194,1,1002,0
10/29/2016 18:00,37,18,,45,55,25,29,73,183,1,1003,0
10/29/2016 19:00,24,13,,40,21,19,29,80,65,1,1004,0
10/29/2016 20:00,39,22,,44,4,16,28,85,7,1,1005,0
10/29/2016 21:00,24,16,,43,3,7,28,85,10,1,1005,0

Feed Example (HTML format)

This is an example based on an HTML format (direct url: publishingdata/html/):
Station list:
Station IDCity or County NameStation NameLocal name (optional)Latitude/LongitudeTimezone (optional)
ID_BEI_DCBeijingDongcheng东城东四39.929/116.417+0800
ID_BEI_WPBeijingWest Park西城官园39.929/116.339+0800
ID_BEI_OPBeijingOlympic Park朝阳奥体中心39.982/116.397+0800
..................
  • The "Station ID" is the unique identifer for each station, and it can just be a number (eg ID8373), or the concatenation of station city and station name (eg. "Beijing/Dongcheng").
  • By default, the station will be available via the url /city/country-name/city-name/station-name.
  • The "Station Name" must use latin characters, so the optional "Local Name" can be provided to localize the webpage.

Real-time pollutant list:
Station IDPollutantUnitUpdate timeValueAveraging
ID_BEI_DCPM10mg/m32020-01-20T09:00:00+09:0027.81 hour
ID_BEI_DCPM25mg/m32020-01-20T09:00:00+09:0010.81 hour
ID_BEI_DCOzonemg/m32020-01-20T09:00:00+09:0015.21 hour
ID_BEI_DCOzonemg/m32020-01-20T09:00:00+09:0018.28 hours
ID_BEI_DCTemperatureCelcius2020-01-20T09:00:00+09:0022.31 hour
ID_BEI_WPPM10mg/m32020-01-20T09:00:00+09:0027.81 hour
ID_BEI_WPPM25mg/m32020-01-20T09:00:00+09:0010.81 hour
ID_BEI_WPSO2ppb2020-01-20T09:00:00+09:0015.21 hour
ID_BEI_WPHumidiy%2020-01-20T09:00:00+09:00881 hour
...............
  • The "Averaging" column is use to specify the duration of the value. The most common averaging is 1 hour. It is also the prefered one, as our backend system will automatically do the 8 hour averagin computation for the Ozone and Carbon Monoxyde.
  • In the case the readings are provided more freqently than every hour (for instance every 30 minutes or 10 minutes), you can either provide the raw readings for the given period, or just the hourly averaging: Our back-end system will anyway process data even between the hour.

Feed Example (JSON format)

This is an example based on JSON format (direct url: /publishingdata/json/)
..

Quality Control for particule counter sensors

For instant particule counters, such as the Plantower PMS or Nova SDS, which provide instantaneous (in few seconds) particulate matter readings, the data is usually reported every minute. This data is usually computed based on several "averaged" readings from a one or two minute period.

The use of averaging is however not good enough, especially for failing sensors (or sensor close of end-of-life). Therefore, for such sensors, it is required to provide additonal metrics, such as the median, min, max, and standard-deviation. See for example the readings object in the below JSON data feed.
..
You can use the following arduino-compatible code to collect those metrics:
class Accumulator 
{ 
    #define OUTPUT_BUFFER_SIZE 120 
    char buffer[OUTPUT_BUFFER_SIZE]; 
 
    #define MAXACCVALUES 120 
    int vals[MAXACCVALUES]; 
 
    int count = 0; 
 
public: 
    Accumulator() 
    { 
        reset(); 
    } 
 
    void reset() 
    { 
        count = 0; 
        for (int i=0;i< MAXACCVALUES;i++)  
        { 
            vals[i]=0; 
        } 
    } 
 
    bool hasData()  
    { 
        return count!=0; 
    } 
 
    std::string output()  
    { 
        if (!hasData()) return std::string("{}"); 
 
        sprintf(buffer, OUTPUT_BUFFER_SIZE, "{\"min\":%d,\"max\":%d,\"median\":%d,\"average\":%.1f,\"stddev\":%.1f,\"count\":%d}",  
            vmin(), vmax(), median(), average(), stddev(), count); 
 
        return std::string(buffer); 
 
    } 
 
    void add(int val) 
    { 
        if (count==MAXACCVALUES-1) { 
          for (int i = 0; i < MAXACCVALUES - 1; i++) { 
            vals[i] = vals[i + 1]; 
            } 
            count --; 
        } 
        vals[count++]=val; 
    } 
 
    float stddev()  
    { 
        if (!hasData()) return -1; 
        int u  =avg(); 
        int t = 0; 
        for (int i=0;ivals[j]) { 
                    float t = vals[j]; 
                    vals[j]=vals[i]; 
                    vals[i]=t; 
                } 
  
            } 
        } 
        return vals[count/2]; 
    } 
 
    float avg()  
    { 
        if (!hasData()) return -1; 
        float t = 0; 
        for (int i=0;ivals[i]) { 
                t=vals[i]; 
            } 
        } 
        return t; 
    } 
 
    float vmax()  
    { 
        if (!hasData()) return -1; 
        float t = vals[0]; 
        for (int i=0;it) { 
                t=vals[i]; 
            } 
        } 
        return t; 
    } 
};

Inquiry Form


Publishing data on the World Air Quality Index project is free. It is also simple and straightforward: All you need tis to provide a webpage containing the information about your monitoring stations and their real-time/hourly readings.
Want to know more? Contact us with the form below


Data Feed - Inquiry form
Enter your name - eg "John Doe"
Enter your email address - eg "john.doe@mail.com"
Enter your country or city - eg Tbilisi, Georgia
Enter your data-feed URL - eg "https://airnow.gov/"
Write few words about your request - eg: "A feed for Tbilisi, Georgia is available at ..", "The feed for Sofia, Bulgaria has been updated", "I need help to setup the feed for Dakar, Senegal", "The location of the station Patumahoe in Auckland is incorrect. It's lat,lon is -37.204,174.864", ..


¿Quieres tu propia estación de monitoreo de calidad del aire?

Las estaciones de monitoreo de calidad del aire de GAIA están utilizando sensores láser de partículas de alta tecnología para medir en tiempo real la contaminación de PM2.5, que es uno de los contaminantes del aire más dañinos.

Muy fáciles de configurar, solo requieren un punto de acceso WIFI y una fuente de alimentación USB. Una vez conectados, los niveles de contaminación del aire se informan de forma instantánea y en tiempo real en nuestros mapas

Acerca de la calidad del aire y la medición de la contaminación:

Acerca de los niveles de calidad del aire

ICACalidad del AireProteja su Salud
0 - 50 Buena No se anticipan impactos a la salud cuando la calidad del aire se encuentra en este intervalo.
51 -100 Moderada Las personas extraordinariamente sensitivas deben considerar limitación de los esfuerzos físicos excesivos y prolongados al aire libre.
101-150 Dañina a la Salud de los Grupos Sensitivos Los niños y adultos activos, y personas con enfermedades respiratorias tales como el asma, deben evitar los esfuerzos físicos excesivos y prolongados al aire libre.
151-200 Dañina a la Salud Los niños y adultos activos, y personas con enfermedades respiratorias tales como el asma, deben evitar los esfuerzos excesivos prolongados al aire libre; las demás personas, especialmente los niños, deben limitar los esfuerzos físicos excesivos y prolongados al aire libre.
201-300 Muy Dañina a la Salud Los niños y adultos activos, y personas con enfermedades respiratorias tales como el asma, deben evitar todos los esfuerzos excesivos al aire libre; las demás personas, especialmente los niños, deben limitar los esfuerzos físicos excesivos al aire libre.
300+ Arriesgado

Para saber más sobre la calidad del aire y la contaminación, comprobar la tema Calidad wikipedia Air o Guía airnow a la calidad del aire y su salud .

Para obtener consejos de salud muy útiles de Beijing doctor Richard Saint Cyr MD, compruebe www.myhealthbeijing.com blog.


Aviso de uso: Todos los datos de Calidad del aire no están validados en el momento de la publicación, y debido a la garantía de calidad, estos datos pueden modificarse, sin previo aviso, en cualquier momento. El proyecto World Air Quality Index ha ejercido todas las habilidades y cuidados razonables para compilar el contenido de esta información y en ningún caso el World Air Quality Index o el equipo del proyecto será responsable en el contrato, agravio o de otra manera por cualquier pérdida, lesión o daño que surja directa o indirectamente del suministro de esta información.



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