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

Share: aqicn.org/publishingdata/pt/

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/m32020-07-07T09:00:00+09:0027.81 hour
ID_BEI_DCPM25mg/m32020-07-07T09:00:00+09:0010.81 hour
ID_BEI_DCOzonemg/m32020-07-07T09:00:00+09:0015.21 hour
ID_BEI_DCOzonemg/m32020-07-07T09:00:00+09:0018.28 hours
ID_BEI_DCTemperatureCelcius2020-07-07T09:00:00+09:0022.31 hour
ID_BEI_WPPM10mg/m32020-07-07T09:00:00+09:0027.81 hour
ID_BEI_WPPM25mg/m32020-07-07T09:00:00+09:0010.81 hour
ID_BEI_WPSO2ppb2020-07-07T09:00:00+09:0015.21 hour
ID_BEI_WPHumidiy%2020-07-07T09:00:00+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



MetOne BAM 1020 station



Luft-Daten DIY station
Publishing data on the World Air Quality Index world map is simple. Both professional and DIY air quality monitoring stations are accepted:
  • Professional stations operated by EPAs are qualified by default, and are given dedicated pages (such as map/montenegro or city/paris) as well as historical data pages (eg historical/kosovo).

  • For the DIY stations (such as luft-daten), additional quality control is required before publishing on the map. This is to ensure high quality data accross the map (more explanation here).

There are two cases in order to upload your data into the map:
    Either you already have a website (or a feed such as thingspeak) from which we can collect the data from your stations. In this case our system will periodically load your page, extract the data and then republish it on our map. Check the feed examples for website examples.

    Either you do not have a website, but you have a station, and you would like to "push" the data directly to our system. In this case, you will need to write a small programm to "post" your station data via our upload API. Code sample is available from the upload API page.

If you fall in the first category (have a website), or if you have any doubts, send us a message using the form below. If you fall in the second category, and want to programatically post the data via our upload API, check our data upload scripts and API page.

Contact Form

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", ..


Quer a sua própria estação de monitorização de qualidade do ar?

As estações de monitoramento de qualidade do ar GAIA estão usando sensores de partículas a laser de alta tecnologia para medir a poluição PM2.5 em tempo real, que é um dos poluentes atmosféricos mais prejudiciais.

Muito fácil de configurar, eles exigem apenas um ponto de acesso WIFI e uma fonte de alimentação USB. Uma vez conectados, os níveis de poluição do ar são reportados instantaneamente e em tempo real em nossos mapas.

Sobre a medição da aualidade do ar e poluição

Sobre os níveis de qualidade do ar

- Valores do Índice de Qualidade do Ar (AQI)Níveis de preocupação de saúde
0 - 50 Boa 0-50: Boa - A qualidade do ar é considerada satisfatória, a poluição do ar representa pouco ou nenhum risco
51 -100 Moderado 50-100: Moderado - A qualidade do ar é aceitável; No entanto, para alguns poluentes pode haver um problema de saúde moderada para um número muito pequeno de pessoas que são mais sensíveis à poluição do ar.
101-150 Não Saudável para Grupos Sensíveis Membros de grupos sensíveis podem ter efeitos na a saúde. O público em geral não é susceptível de ser afetado.
151-200 Não saudável 150-200: Insalubre - Toda a população pode começar a sentir os efeitos na saúde; membros de grupos sensíveis podem apresentar efeitos mais sérios de saúde.
201-300 Muito Prejudical à Saúde 200-300: Muito Insalubre - As advertências de saúde de situações de emergência. Toda a população é mais susceptível de ser afectada.
300+ Perigoso 300+: Perigoso - alerta de saúde: todos podem experimentar efeitos mais graves para a saúde

Para saber mais sobre Qualidade do Ar e Poluição, verifique o wikipedia Qualidade do Ar tópico ou o guia AIRNow a Qualidade do Ar e sua saúde.

Para informações sobre saúde muito úteis em Pequim, procure Doutor Richard Saint Cyr MD, consulte www.myhealthbeijing.com blogue.


Aviso de uso: Todos os dados da Qualidade do Ar não são validados no momento da publicação e, devido à garantia de qualidade, esses dados podem ser alterados, sem aviso prévio, a qualquer momento. O projeto Índice de Qualidade do Ar Mundial exerceu todas as habilidades e cuidados razoáveis na compilação do conteúdo desta informação e sob nenhuma circunstância o A equipe do projeto World Air Quality Index ou seus agentes podem ser responsabilizados em contrato, responsabilidade civil ou de outra forma por qualquer perda, lesão ou dano decorrente direta ou indiretamente do fornecimento desses dados.



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Temperature unit:
Celcius