Air Quality

NL7559KW7: Air Quality

Measurement of Dust Level and Gasses

Meteo is not only temperature, moisture, wind, pressure and light, but also the 'secondary' aspects such as dust and gas-content play a role, summarized as Air Quality.

This webpage dealing with those 'secondary'aspects is partially experimental:
it follows the development & test of the equipment & software.

At-workThe basis is now present, but extension is required for hardware and software:
- primarily for investigation/realisation of the aspects listed in the ToDo-lists.
- secondarily looking for affordable components combining easy handling & quality-measurement of gaslevel especially for NO2 & O3.
Till that time the webpage (and it's annexes) dealing with the gas-elements is truely 'Test & Trial' with experimental setups as well as some 'placeholders' applying measured and/or calculated info 'from elsewhere' [= NASA, DarkSky, AQICN, EuropeanCommission/JRC and RIVM].
- the software for synchronisation of data and for generation of graphs needs improvement.

Actual status/ remarks:

This webpage has following sections dedicated to measurement of Dust:


Actual values: Dust PM2.5 en PM10

The 2 clocks show the latest measured valuesfrom the local SDS011-sensor on a scale of 0 till 200 g/m3.

Classification-colour for Air quality derived from the table of RIVM for Luchtkwaliteitsindex, with visual resemblance, but significant background deviation from the US EPA AQI

Quality = Colour Good = Green Moderate = Blank Unhealthy = Yellow Bad = Red
PM2.5 [g/m3] 0 ~ 20 20 ~ 50 50 ~ 90 > 90
PM10 [g/m3] 0 ~ 30 30 ~ 75 75 ~ 125 > 125
A worldwide survey with combined AQI-data from various measuring stations can be found at AQICN.org:
that survey includes info on gas components as available at the stations.
This webpage 'borrows' a dynamic, country-wide prognosis for Air Quality from the RIVM-site to which this Meteo-System indirectly contributes data through the Samenmeten_Dataportaal.
The prognosis can pinpoint a static detailed forecast around a selected Dutch postal code area.

Top of page Top of section Top next section


24hour graphs

The 24hour graphs summarize the measured data in a running window with periodic, online update, resulting in a general meteo-picture and 2 'dust'-pictures.

Graph_Meteo24hr Because Fine Dust and 'normal' Meteo aspects have interaction, the general meteo graph acts as reference with the main components Temperature, Humidity, Pressure, Rain and Wind:
- Temperature, Humidity, Rain and Wind are from TFA_Nexus' meteo-sensors.
- Pressure is from the BMP180-sensor connected to Domoticz.







Graph1_Dust&Meteo_24hr The 'dust' Graph D1 (as comparison with the 'general' meteo graph) shows the raw, 'combined' results from the meteo-sensors integrated with the dust-sensors, in combination with uncalibrated indications for Light and UVI from the 'general' meteo-set.






Actual Luftdaten-mapdisplay:
click on the 6-cornersymbol for more info
Or actual OpenSenseMap-display

Graph_Filters_24hrSeveral values from the setup show heavy fluctuations.
Filtering in the background reduces noise, peaks and dips.
The 'dust' Graph D2 shows the unlimited, filtered values for Dust and filtered values for Humidity:
Graph D20 also comprises the filtered values from the related temperature measurements.







Comments to the graphs on this page:

The components in the 'Dust'-pictures are not always 'single', but 'combined'.

Top of page Top of section Top next section


Longterm graphs

The graphs below provide online information over longer periods than 24 hours.
The graphs show average values over a period, which period is different for week-graphs, month-graphs and year-graphs!
That is the reason that you may see different values per graph for Latest, Min. and Max.
The display of Dust values is limited to 100 ug/m3
Graph_GP2Y10_Week Graph D3 only shows dust-values, as compiled in Domoticz & RRDTool.
Milestones for this graph:
Start measurements: February 01, 2018
Start measurements outdoor with SDS011:
March 12, 2018
Start measurements outdoor with GP2Y10:
March 26, 2018
Alternative pictures:
SDS011-info from Luftdaten.info.
DHT22-graphs from Luftdaten.info.
BME280-grafieken from Luftdaten.info

Graph_Dust_Week Graphs D4a ~ D4d online summarize info according to graph D1b over the past week and past month, respectively Dust-info over the past quarter and year.
Milestones for these graphs:
Start of the graphs:
March 03, 2018
Start measurements outdoor with SDS011:
March 12, 2018
Start measurements outdoor with GP2Y10:
March 26, 2018



Graph_Dust_Month










At-workThe graphs for past Quarter and past Year may become interesting after the data processing has become stable.

Top of page Top of section Top next section


Why local measurement of dust?

Air Quality is determined based on the measured values for gasses and for dust, in which dust seems most critical.
In the Netherlands the national measuring network provides a global survey & forecast, but (as usual with every meteo-aspect) severe deviations may locally occur.
Because the 'official' measuring sites are at significant distance, that is reason to build a simple, local setup for a measurement for air dust contents as extension of the Meteo-System:
no pretention for high quality & high accuracy, because that requires very different kind of budget .....
Related application of a gas sensor e.g. for NO2 & O3 would be interesting, but the required combination of affordable cost, effectiveness and suitability for DIY-application is not yet available.

Top of page Top of section Top next section


Setup for measuring Dust-content

Dust-setup The location in a suburb is not really as desired according to the rules for a correct/good meteo-measuring setup:
the setup is also subject to various other priorities for the available, limited space .......
For the 'local view' on the matter, 2 measuring sets have been fitted at the side of the garage, both at approx. 2.5m~3m from ground:
- the 'global' set is closest to the street on the wall. Distance to the centre of the street approx. 15m.
The set is a combination of a simple dust-sensor and a Temp&RV&Baro-sensor, for the dust-measurement aiming at a general indication, usable by Domoticz.
Based on a concept described in Let'sControlIt.
Remains 'Experimental' due to the lack of meaningful & stable calibration, in combination with the 'problem' to explain the observations.
- the 'more accurate' set is fitted nearer to the garden, at the bottom of the measuring mast of the Meteo-system.
Distance to the centre of the street is approx. 25m and distance to the wall /edge of the roof is approx. 1m.
This set applies the same configuration of sensors as applied by many other setups participating in Luftdaten.info to assure that an 'honest' comparison of data is possible.


GP2Y10-sensor BME280-sensor WEMOS_D1_Set Power_Shield Basis_GP2Y Assembly1_GP2Y Assembly2_GP2Y Assembly3_GP2Y Assembly4_GP2Y Setup_GP2Y The 'global' set with sensor type GP2Y10 provides a 'general' measurement of the dust content.
This dust sensor has as companion in the housing a BME280-sensor for measurement of Temperature, Humidity and Pressure.

The setup with GP2Y10 and BME280 has the following layout:

ToDo-list: SDS011-sensor DHT22-sensor BME280-sensor NMCU-Processor Basis_SDS Assembly1_SDS Assembly2_SDS Assembly3_SDS Assembly4_SDS Setup_SDS Setup_SDS2019 The 'more accurate' set with sensor type SDS011 provides split data for dust.
This dust sensor has as companion a DHT22-sensor for 'simple' measurement of Temperature and Humidity, and a BME280-sensor (added May 16, 2019) for better measurement of Temperature, Humidity and Pressure.

The setup for SDS011 and DHT22/BME280 has the following layout:
ToDo-list: Top of page Top of section
Back to the webpage for / Terug naar de websectie voor Meteo
De websectie voor Experimenten begint hier
Sitemap/ Jumplist voor deze website, incl. links to english versions of pages


startpagina
Copyright © 2013-2020 T4S
The copyright for information available from or accessed via external links (also without declaration of source), remains with the original owner, hence the use of such info may be subject to limitations.