This webpage comprises
Until a setup has been developed and tested, which has high quality&reliability at an acceptable price-level, simple(r) placeholders and some information from 'elsewhere' have to be applied, like Copernicus Atmosphere Monitoring System.
E.g. the presently online Ozone-information from DarkSky/NASA in this page is only valid for higher layers (~stratosphere),
with meaning in relation to attenuation in those layers for UV-radiation from higher-up.
Also positive, such as for the creation of Vitamine-D.
Because of the local effects and the relation to other air components therefore also for for O3-measurement at ground level a local measuring setup is required.
Information of RIVM bases on models & estimations, at surface level supported by info from a limited number of qualified measuring stations.
Nearest RIVM measuring stations with gas-info are in Eibergen and in Hellendoorn.
Actual status/ Remarks:
Ozone-info (stratosphere) from DarkSky [= calculated Dobson Units] CO-info ground-level measurement [= ADC-values] NO2-info ground-level measurement [= ADC-values] NH3-info ground-level measurement [= ADC-values]
The colour classifcation for gas-related air quality is according to the table below.
For O3 and NO2 derived from the RIVM-table for Air Quality Index.
The Ozone-information from DarkSky and from NASA is an indication for the thickness of the ozone layer protecting the earth, not a local, atmospheric O3-measurement with indication in µg/m3.
In absence of local O3-measurements the info from DarkSky (as Dobson Units = DU) has been roughly (reversely) translated from the map colours of NASA:
'green'= thickest Ozone-layer = best protection, while 'red' = thinnest Ozone-layer = least protection (e.g. in 'Ozone-hole').
The selected classification for the ADC-signals is an arbitrary default, until more experience has been collected:
- for CO applying the O3-info of RIVM
- for NO2&NH3 'aligning' with the NO2-scaling of RIVM.
This site borrows dynamic prognosis for gas-oriented Air Quality from the RIVM-site to which this Meteo-System indirectly uploads data through Samenmeten_Dataportaal.
Graph G1B experimentally translates the ADC-values for gasses into µg/m3,
The 'more accurate' set with Dust sensor type SDS011 + meteosensors BME280&DHT22 in the present housing probably has no space left to accomodate the Alphasense sensors and their interfaces:
The uncertainties require a plan of attack for the next phases.
Quality = Colour
Good = Green
Average = Blank
Insufficient = Yellow
Bad = Red
Ozone [DU]
600 ~ 450
450 ~ 350
350 ~ 200
200 ~ 0
O3 [µg/m3] /
ADC_CO [Units]0 ~ 40
40 ~ 100
100 ~ 180
> 180
NO2 [µg/m3] /
ADC_NO2_NH3 [Units]0 ~ 30/
0 ~ 6030 ~ 75/
60 ~ 15075 ~ 125/
150 ~ 250> 125/
> 250
The prognosis for Ozone has a multi-day bracket around a selected (Dutch) postal code.
24Hour graphs
Graphs for gasses require a tested, operating measuring setup.
The 24hour-graphs below are experimental summaries of the MiCS6814 sensor's analogue values in a running window with periodic, online update.
# Temperature, Humidity and Pressure are real, measured values determined by the dust-related sensors.
- Temperatures, Humidity and Levels are 'as-is'
- Pressure is the difference relative to 1000hPa
# Gas1-implementation = measurement by MiCS6814 for 3 gas types
+ measurement by LM35 for 1 gas/air temperature
# Gas2-implementation = measurement assumed by 2 'peaked' sensors for 2 gas segments, such as from Alphasense.
Till real sensors arrive, 'placeholder'-constants.
The placeholder constants serve as reference lines in the graph.
# Gas1-implementation = readout on dynamic data from ESP8266_GP2Y10 with ca. 1mV/Unit
Gas1-levels: gaslevels are raw ADC-values.
Gas1Temperature is a translation of the ADC-value to degrees Celsius.
coarsely aligning with RIVM's NO2-forecast
# Gas1-leveltranslation:
1 Unit ~ 0.15 µg/m3 for NO2&NH3
1 Unit ~ 1 µg/m3 for CO
The components in the Dust-graphs not always are singularly generated, but often 'combined'.
Longterm graphs
Longterm graphs for gasses only implemented after the 24Hour graphs are OK and calibrated.
Why local gas measuring for Air Quality?
Like for any meteo aspect also for gasses severe local deviations may occur.
National and regional info is nice, but therefore measurement of gasses must be included in the local setup:
high quality and high accuracy is not the first idea, because it requires related budgets .....
The budget aspect, calibration and reliability are obstacles for private application of high quality gas sensors.
Some local projects already get involved, but at this location it causes delay.
System Layout
As 'basic configuration' the 'simple' set with Dust sensor type GP2Y10 + meteosensor BME280 has as add-on the Gas-sensor MiCS6814 + Temp-sensor LM35 + ADC ADS1115 in the housing.
The present ESP8266 is able to control the additional sensors on it's I2C interface and with the interface software for the ADS1115.
This ESP8266 performs the first stage of scaling & correction of the data.
Domoticz is handling the follow-on data processing incl. handover to applications.
Progress/results for this setup described in a separate webpage.
investigation required how to configure, how to house and how to link.
Best in a setup which can be shared with organisations like Luftdaten.org or RIVM or Sensebox.de
Back to main Air Quality webpage
Back to page for Meteo
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