Uber n’améliore pas la qualité de l’air à Bruxelles
Uber n’améliore pas la qualité de l’air à Bruxelles
Un nouveau rapport de l’ONG Transport & Environment montre que les services de véhicules avec chauffeur à la demande comme Uber ont tendance à aggraver les problèmes de congestion et de pollution dans les villes européennes.
Dans la Région bruxelloise le nombre de licences de Voitures de Transport avec Chauffeur (VTC) – que doivent détenir les chauffeurs qui travaillent avec Uber – est passé d’environ 500 chauffeurs en 2017 à près de 1 800 en 2019.
En parcourant en moyenne plus de cent kilomètres par jour dans la Région de Bruxelles-Capitale (plus de 31 000 km par an), ces centaines de véhicules roulent très majoritairement au diesel ou à l’essence et émettent ainsi une grande quantité d’oxydes d’azote et de particules fines.
La Région bruxelloise est en infraction depuis 2010 pour le dépassement des normes européennes relatives aux concentrations en NO2. De plus, en 2018 le seuil de l’Organisation Mondiale de la Santé était dépassé dans les cinq stations de mesure officielles qui contrôlent les concentrations en particules fines PM2.5. Et comme le montre la décision récente de la Cour de justice européenne, les chiffres officiels ne reflètent probablement pas la réelle envergure du problème.
Pierre Dornier, membre du collectif citoyen Les chercheurs d’air, a dit “Chaque année des centaines de Bruxellois-e-s meurent prématurément à cause de la pollution de l’air. Il n’est pas acceptable de laisser des entreprises comme Uber ajouter des voitures diesel et essence dans nos rues.”
Outre la pollution de l’air le rapport estime que ces véhicules ont également émis 10 000 tonnes de CO2 en 2019 en RBC et que les services de VTC à la demande comme Uber ont aussi tendance à aggraver les problèmes de congestion à Paris et Londres, ainsi que dans plusieurs villes américaines. Bruxelles étant l’une des villes les plus embouteillées d’Europe il est essentiel de s’assurer qu’Uber n’aggrave pas la situation.
Afin de lutter contre ces trois problèmes, pollution de l’air, émissions de gaz à effet de serre et congestion, les pouvoirs publics compétents doivent s’assurer que les VTC qui opèrent à Bruxelles proposent une flotte 100% électrique d’ici 2025 et qu’au moins 50% des trajets réservés sur l’application soient partagés d’ici 2030.
Pierre Dornier a ajouté : “À Bruxelles les chauffeurs de VTC changent de véhicule tous les trois ans en moyenne. Moyennant une aide financière de la part d’entreprises comme Uber à leurs chauffeurs, comme c’est déjà le cas à Londres, il est tout à fait possible d’avoir des flottes 100% électriques d’ici 2025. Uber doit faire partie de la solution, pas du problème.”
Uber a déjà annoncé que tous les véhicules qu’elle utilise à Londres seront électriques d’ici 2025 et le service UberPool, qui permet de partager un trajet avec d’autres utilisateurs, est déjà disponible dans la capitale britannique et à Paris.
Nos rues doivent être réservées à la mobilité zéro émission d'ici à 2030
Nos rues doivent être réservées à la mobilité zéro émission d'ici à 2030
Les zones de basses émissions (ZBE) sont un moyen efficace de lutter contre la pollution de l’air en ville, comme le montre une nouvelle analyse de l’ONG Transport & Environment. A Madrid par exemple la ZBE a permis de réduire les concentrations en NO2 de 32% entre juin 2018 et juin 2019.
A Bruxelles, où le transport est responsable de 30% des émissions de particules fines PM2.5 et 69% des émissions de NO2 [1], la mise en place d’une ZBE montre également des résultats encourageants [2].
Mais face à l’urgence sanitaire que représente la pollution de l’air, nos villes doivent maintenant être réservées à la seule mobilité durable : piétons, cyclistes, transports en commun ainsi que voitures, camionettes et camions électriques.
Pierre Dornier, du collectif citoyen Les chercheurs d’air, a dit “La pollution de l’air tue, même à court terme, même à faible concentration. Tous les outils qui permettent de lutter contre ce fléau doivent être utilisés sans plus attendre. La mise en place d’une zone zéro émission en fait partie. Nous demandons donc que les rues de Bruxelles soient réservées à la seule mobilité durable d’ici à 2030 au plus tard.“
Afin que cette transition ne se fasse pas aux dépens des plus défavorisés ou des personnes qui ont besoin d’un véhicule en ville il est primordial que les aides pour abandonner son véhicule thermique soient augmentées et que des alternatives sérieuses à la voiture individuelle soient mises en place.
Notes :
[1] https://environnement.brussels/thematiques/air-climat/qualite-de-lair/les-emissions-de-polluants-qui-affectent-la-qualite-de-lair
[2] https://environnement.brussels/news/decouvrez-le-premier-bilan-encourageant-de-la-zone-de-basses-emissions
Concentration moyenne en PM2.5 par mois
Moyenne des concentrations en PM2.5/m3 enregistrées par tous nos détecteurs, mois par mois.
Longs pics de pollution en région bruxelloise
La région bruxelloise connait de temps en temps de long pics de pollution aux PM2.5, c’est à dire des épisodes au cours dequels on observe une concentration en PM2.5 de plus de 25µg/m3 pendant au moins 24 heures.
19 mai 2019
18 mai 2019
1er mai 2019
17 avril 2019
7 avril 2019
Air quality analysis in Brussels - February to April 2019
Table of contents
Executive summary
1- Introduction
1.1 – The air seekers
1.2 – Objective of this report
2 – Filtering and comparison between our measurements and those of CELINE
2.1 – Selection of sensors
2.2 – Comparison with CELINE
3 – Results for the whole period between February 2019 and April 2019
3.1 – Overall values
3.2 – Mean PM2.5 concentration per day
3.3 – PM2.5 concentration above the standard of 25µg/m3 for a period of more than 24 hours
3.4 – Locations with the highest maximum PM2.5 concentration
3.5 – Locations with the greatest variation in PM2.5 concentration throughout the day
4 – Monthly Results
4.1 – February 2019 Results
4.1.1 – Overall values
4.1.2 – Evolution of the PM2.5 concentration over the month
4.1.3 – Locations with the greatest mean PM2.5 concentration
4.1.4 – Locations with the highest maximum PM2.5 concentration
4.2 – March 2019 Results
4.2.1 – Overall values
4.2.2 – Evolution of the PM2.5 concentration over the month
4.2.3 – Locations with the greatest mean PM2.5 concentration
4.2.4 – Locations with the highest maximum PM2.5 concentration
4.3 – April 2019 Results
4.3.1 – Overall values
4.3.2 – Evolution of the PM2.5 concentration over the month
4.3.3 – Locations with the greatest mean PM2.5 concentration
4.3.4 – Locations with the highest maximum PM2.5 concentration
5 – Conclusions
6 – Appendices
6.1 – Air quality measuring principle
6.2 – Analysis of the technical acceptability of readings
6.3 – Collection, filtering and geolocation of data
Executive summary
The air seekers is a citizen science project which aims to improve our understanding of and response to the issue of air pollution in Brussels.
This project was conceived following an observation that air pollution in Brussels is not appropriately monitored in terms of time and space. For instance, there are only five official monitoring stations which measure the concentration of fine particle matter (PM2.5) in the air. For a city of 160 km2 and with more than one million inhabitants, that is simply not enough. This is compounded by the fact that the measuring stations are not necessarily situated in areas where PM2.5 concentrations are at their highest or most representative.
To make up for this situation, since February 2019, the project The air seekers has provided citizens with Luftdaten sensors which measure the concentration of PM2.5 and PM10 in the air in real time. Measurements are collected and displayed on an online map.
As part of this analysis, the data are firstly compared with those of the Belgian Interregional Environment Agency (CELINE) in order to verify their validity. The comparison between our measurements and those of CELINE shows very little difference which implies that our data are reliable.
More in-depth analysis has since been carried out to identify the metrics related to air quality. This has shown that 21 addresses experienced, on at least one occasion, a PM2.5 air concentration of more than 25 μg/m3 over a period of more than 24 hours and therefore exceeded the WHO recommendations. It is also interesting to note that the mean concentration over the three months under study exceeds the annual concentration recommendation of the WHO (10 µg/m3).
It also emerges that there is a considerable geographical and time-related disparity in PM2.5 concentration. At some locations, concentration peaks are much higher, with data exceeding 100 µg/m3 and concentrations above 25 µg/m3 lasting for prolonged periods. This goes to show how important it is to establish more measuring points. At other locations, there is a strong variation in PM2.5 concentration throughout the day.
For the record, and as specified by the WHO, “particulate matter pollution has health impacts even at very low concentrations – indeed no threshold has been identified below which no damage to health is observed.”
When you read this report, you should bear in mind that it is produced on the basis of limited resources and relies solely on the work of volunteers. With access to greater resources, it would be possible to further improve our understanding of the fine-particle air pollution in Brussels.
1 - Introduction
1.1 - The air seekers
Based on a team of volunteers, which currently comprises 400 citizens, The air seekers is a citizen science project which seeks to improve our understanding of air pollution caused by fine particle matter (PM2.5 and PM10) in Brussels.
The specific objectives of this project are as follows:
- To raise awareness among the general public of the problems of air pollution in Brussels
- To improve our understanding and therefore our response to the problem of air pollution in Brussels
- To push air pollution to the top of the political agenda
The project The air seekers distributes fine particle matter sensors to the residents of Brussels to create an extensive network of air quality measuring points. These sensors have been developed by Luftdaten in collaboration with the Stuttgart university. Since February 2019, more and more of these sensors have been installed and the number of measurements is now sufficient to produce a preliminary analysis.
1.2 - Objective of this report
The objective of this report is to present an initial analysis of the data on PM2.5 air concentrations in Brussels. These data were collected by Luftdaten sensors during the months of February, March and April 2019.
This report analyses the PM2.5 concentration readings of the Les chercheurs d’air project, their comparison with official measurements and their variation according to time and position of the sensors.
This report does not seek to explain these time-related and geographical differences; these aspects should be covered by a separate report. Subsequent analyses will be necessary, particularly with a view to ascertaining the origin of the PM2.5 pollution in Brussels.
2 - Filtering and comparison between our measurements and those of CELINE
2.1 - Selection of sensors
It should be noted that the data collected by the sensors have been filtered prior to use. Any sensors that appear to be faulty, either due to the fact that they produce anomalous data or operate outside of the conditions prescribed by the sensor’s manufacturer, have been discarded from the analysis.
Details on this stage are provided in the Appendices, in section 6.2
2.2 - Comparison with CELINE
To verify the data measured by the Luftdaten sensors, they are compared with official measurements. The Belgian Interregional Environment Agency has stations which measure PM2.5 concentrations throughout Belgium, including one in Molenbeek.
The dates of 28/03/2019, 23/03/2019 and 08/04/2019 were chosen for the comparison between our measurements and those of the CELINE station in Molenbeek. These dates relate to the monthly peaks observed during the period between February and April 2019.
The data of the CELINE monitoring station in Molenbeek for 28/03/2019, 23/03/2019 and 08/04/2019 are illustrated on Figure 1, Figure 2 and Figure 3 respectively, along with the corresponding Luftdaten sensor data. The CELINE data were obtained using their opendata service.
Figure 1, Figure 2 and Figure 3 show that the measurements taken using the Luftdaten sensors are, on average, very similar to the measurements taken by the CELINE station in Molenbeek.
Figure 1 – Comparison between Luftdaten and CELINE measurements for 28/02/2019
Figure 1 shows that our measurements follow the same trend as the measurements of CELINE’s Molenbeek station, especially the sharp decrease observed in the afternoon of 28/02/2019.
Figure 2 – Comparison between Luftdaten and CELINE measurements for 23/03/2019
Figure 2 shows that our measurements follow the same trend throughout the day of 23/03/2019 as the measurements of CELINE’s Molenbeek station, with a concentration above 30 µg/m3 virtually all day. It should be noted that our measurements relate to the mean of our sensors throughout Brussels, which is why the curve of our measurements is smoother.
Figure 3 – Comparison between Luftdaten and CELINE measurements for 08/04/2019
Figure 3 shows that our measurements follow the same trend throughout the day of 08/04/2019 as the measurements of CELINE’s Molenbeek station, with a concentration above 60 µg/m3 virtually all day.
In a bid to produce a more overall comparison of the readings of the CELINE network and The air seekers network, Figure 4 includes the CELINE data (Molenbeek station) and our data for the whole period. Both sets of measurements follow the same trend, except for a number of peaks on our sensors at the beginning of February, as illustrated in Figure 6. On average, the difference between measurements is below 2 µg/m3.
It should be stressed that the data produced by the Luftdaten sensors have been filtered prior to use. Any sensors that appear to be faulty, either due to the fact that they produce anomalous data or operate outside of the conditions prescribed by the sensor’s manufacturer, have been discarded from the analysis. Details on this stage are provided in the Appendices, in section 5.2
It can therefore be concluded that the measurements of the Luftdaten sensors are reliable.
Figure 4 – Comparison between Luftdaten and CELINE measurements from 01/02/2019 to 30/04/2019
3 - Results for the whole period between February 2019 and April 2019
3.1 - Overall values
Over the period under study, the mean concentration observed is 11.03 µg/m3, slightly above the mean value recommended by the World Health Organisation, which is 10 µg/m3 (on an annual basis). The recommended daily mean (25 µg/m3) was exceeded once or twice for 21 sensors and several sensors recorded absolute concentrations in excess of 100 µg/m3. It should be noted that there is a difference between the weekday mean and weekend mean, with the concentration being higher, on average, at weekends.
Table 1 – Maximum and mean PM2.5 concentration per type of day
3.2 - Mean PM2.5 concentration per day
Figure 5 shows the mean concentration per day measured by the sensors. The monthly peaks of February, March and April are well visible. It should be noted that the whole country was concerned by a pollution alert on the days of 28/02/2019 and 08/04/2019.
Figure 5 – Mean PM2.5 concentration per day
3.3 - PM2.5 concentration above the standard of 25 μg/m3 for a period of more than 24 hours
The World Health Organisation (WHO) recommends that daily mean PM2.5 concentrations should not exceed 25 µg/m3. Over the entire period, some sensors recorded PM2.5 concentrations in excess of 25 µg/m3 for periods of more than 24 hours. Some of these situations took place around the period of pollution peak of 08/04/2019.
Table 2 shows all these situations, with the beginning (time at which the concentration exceeds 25 µg/m3), the end (time at which the concentration drops below 25 µg/m3), the duration of the event and the location of the sensor (restricted to the street for personal data protection purposes).
Table 2 – Situations lasting for longer than 24 hours with PM2.5 concentration in excess of 25 µg/m3
3.4 - Locations with the highest maximum PM2.5 concentration
Figure 6 includes the address, restricted to the street, of the 10 sensors which recorded the highest maximum reading. The location of these sensors is represented on figure 7.
Figure 6 – 10 locations with the highest concentrations from 01/02/2019 to 30/04/2019
Figure 7 – Location of the top 10 areas with maximum PM2.5 concentration from 01/02/2019 to 30/04/2019
These figures show maximums above 100 µg/m3.
3.5 - Locations with the greatest variation in PM2.5 concentration throughout the day
It is interesting to measure the variation in the PM2.5 concentration throughout the day, as it may indicate the source of pollution (mobility, weather conditions, heating, etc.).
The daily variation in PM2.5 concentration was measured as the difference between the maximum and minimum reading over a day. This value is then aggregated over the month using a mean value.
Figure 8 includes the 10 locations with the greatest variation in the daily mean over the period under study. This figure shows that, for these points, the variation is greater than 34 µg/m3.
Figure 8 – Areas with the greatest variation in the daily mean, from 01/02/2019 to 31/04/2019
4 - Monthly Results
4.1 - February 2019 Results
4.1.1 - Overall values
In the month of February, after analysing the technical acceptability of the data, 44 sensors were used.
The mean PM2.5 concentration observed was 10.23 µg/m3 and the maximum value was 111.65 µg/m3.
Table 3 – Summary of February 2019
4.1.2 - Evolution of the PM2.5 concentration over the month
The following graph shows the evolution of the daily mean PM2.5 concentration. The maximum daily mean is reached on the last day of the month, i.e. 28/02/2019, with a value of 24.21 µg/m3. On that day, there was a pollution peak alert throughout the country.
Figure 9 – Evolution of the daily mean PM2.5 concentration, February 2019
Figure 10 provides the maximum PM2.5 reading per day during the month, with all sensors considered. The absolute maximum of the month was obtained on 24/02, with 111.65 µg/m3.
Figure 10 – Maximum PM2.5 concentration observed per day in February 2019
4.1.3 - Locations with the greatest mean PM2.5 concentration
Figure 12 includes the address, restricted to the street, of the 10 sensors which recorded the highest mean reading. The location of these sensors is represented on figure 13.
Figure 12 – Top 10 locations with the highest mean PM2.5 concentrations in February 2019
For information purposes only, the recommendation of the World Health Organisation (WHO) relating to the PM2.5 exposure limit is 10 µg/m3 based on an annual mean . The measurements for the sensors above show that they are all above 10 µg/m3. When the data have been collected over a period of at least one year, it will be necessary to check whether the annual mean remains above 10 µg/m3.
Figure 13 – Location of the top 10 areas with the highest mean PM2.5 concentration in February 2019
4.1.4 - Locations with the highest maximum PM2.5 concentration
Figure 14 includes the address, restricted to the street, of the 10 sensors which recorded the highest maximum reading. The location of these sensors is represented on figure 15.
Figure 14 – Top 10 areas with maximum PM2.5 concentration in February 2019
Figure 15 – Location of the top 10 areas with maximum PM2.5 concentration in February 2019
4.2 - March 2019 Results
4.2.1 - Overall values
In the month of March, after analysing the technical acceptability of the data, 81 sensors were used. This is a clear increase in the number of sensors in relation to the month of February.
The mean PM2.5 concentration observed was 9.42 µg/m3 and the maximum value was 106.3 µg/m3. These values are slightly lower than those observed in February 2019 (see 3.1.1)
Table 4 – Summary of March 2019
4.2.2 - Evolution of the PM2.5 concentration over the month
The following graph shows the evolution of the daily mean PM2.5 concentration. The maximum daily mean is reached on Saturday 23/03/2019, with a value of 39.76 µg/m3. This is a particularly extreme value in view of the means from the other days. On the final day of the month, the mean PM2.5 concentration is also relatively high, with 26.79 µg/m3.
Figure 16 – Evolution of the daily mean PM2.5 concentration in March 2019
Figure 17 includes the maximum PM2.5 concentration per day, the maximum of the month is also reached on 23/03/2019, with 106.30 µg/m3.
Figure 17 – Maximum PM2.5 concentration observed per day in March 2019
These figures show that, over the month of March, the two highest daily PM2.5 concentration readings, either the mean or maximum, are reached on 23/03/2019 and 30/03/2019, i.e. both times on a Saturday.
4.2.3 - Locations with the greatest mean PM2.5 concentration
Figure 19 includes the address, restricted to the street, of the 10 sensors which recorded the highest mean reading. The location of these sensors is represented on figure 20.
Figure 20 – Top 10 areas with the highest mean PM2.5 concentration in March 2019
Compared with the results from the month of February 2019 (Figure 13), the values obtained here are higher and remain above 10 µg/m3.
Figure 20 – Location of the top 10 areas with the highest mean PM2.5 concentration in March 2019
4.2.4 - Locations with the highest maximum PM2.5 concentration
Figure 21 includes the address, restricted to the street, of the 10 sensors which recorded the highest maximum reading. The location of these sensors is represented on figure 22.
Figure 21 – Top 10 areas with maximum mean PM2.5 concentration in March 2019
Figure 22 – Location of the top 10 areas with maximum mean PM2.5 concentration, in March 2019
4.3 - April 2019 Results
4.3.1 - Overall values
In the month of April, after analysing the technical acceptability of the data, 84 sensors were used. That is to say 3 additional sensors compared with the month March.
The mean PM2.5 concentration observed was 11.64 µg/m3 and the maximum value was 162.5 µg/m3.
Table 5 – Summary of April 2019
4.3.2 - Evolution of the PM2.5 concentration over the month
The following graph shows the evolution of the daily mean PM2.5 concentration. The maximum daily mean is reached on Monday 08/04/2019, with a value of 75.67 µg/m3. This is a particularly extreme value in view of the means from the other days. On Monday 08/04/2019, there was a pollution alert throughout Belgium.
Figure 23 – Evolution of the daily mean PM2.5 concentration in April 2019
Figure 24 includes the maximum PM2.5 concentration per day, the maximum of the month is reached on 07/04/2019, with 162.50 µg/m3.
Figure 24 – Maximum PM2.5 concentration observed per day in April 2019
4.3.3 - Locations with the greatest mean PM2.5 concentration
Figure 26 includes the address, restricted to the street, of the 10 sensors which recorded the highest mean reading. The location of these sensors is represented on figure 27.
Figure 26 – Top 10 areas with the highest mean PM2.5 concentration in April 2019
These mean values are similar to those recorded for February 2019 (see Figure 13).
Figure 27 – Location of the top 10 areas with the highest mean PM2.5 concentration in April 2019
4.3.4 - Locations with the highest maximum PM2.5 concentration
Figure 28 includes the address, restricted to the street, of the 10 sensors which recorded the highest maximum reading. The location of these sensors is represented on figure 30.
Figure 28 – Top 10 areas with maximum mean PM2.5 concentration in April 2019
Figure 28 shows that the maximums reached in April are higher than those from the months of February and March.
Figure 30 – Location of the top 10 areas with maximum mean PM2.5 concentration in April 2019
5 - Conclusions
This report has covered various aspects related to air quality on the basis of measurements taken using Luftdaten sensors as part of the collaborative science project entitled Les chercheurs d’air.
Firstly in relation to the reliability of these sensors, the comparison between their data and those of the CELINE network has shown that the Luftdaten sensors can be considered to be reliable (due to the fact that the faulty sensors and anomalous measurements have been filtered out). Indeed, over the entire period, the measurements from the two networks are pretty similar and both show the same PM2.5 concentration peaks over the period (see Figure 6). Furthermore, the daily PM2.5 concentration curves of CELINE and Les chercheurs d’air during the pollution peak dates are very similar (see Figure 3, Figure 4 and Figure 5).
Secondly, once the validity of the Luftdaten data was confirmed, further in-depth analysis was conducted to show different metrics related to air quality. The report has shown that the mean concentration exceeds the recommended annual concentration of the WHO (10 µg/m3) and that there are several episodes during which the mean over 24 hours was exceeded (25 µg/m3).
Thirdly, the analysis shows a geographical and time-related disparity in the PM2.5 concentration. At some locations, concentration peaks are much higher, with data exceeding 100 µg/m3 and concentrations above 25 µg/m3 lasting for prolonged periods. At other locations, there is a strong variation in PM2.5 concentration throughout the day.
These geographical and time-related disparities ought to be examined as part of a future study. We have to understand why there is a stronger PM2.5 concentration in some areas or why there is a strong variation in the PM2.5 concentration during the day in others. The difference in PM2.5 concentration between weekdays and weekends is interesting and ought to be examined in greater depth. This variation in space and time might enable us to understand the formation of PM2.5 concentration.
It is also important to note that the analyses and report have been produced with limited resources. With greater resources, we would be able to further this analysis and improve our understanding of the formation of PM2.5 pollution in Brussels.
Finally, the assessment is not very positive as these measurements show that the air quality in Brussels does not respect WHO recommendations. It is therefore necessary to continue our research in this area with a view to understanding the formation of pollution and proposing measures to improve the air quality in Brussels
6 - Appendices
6.1 - Air quality measuring principle
The sensor distributed by Les chercheurs d’air was developed by Luftdaten.info. Inside this sensor, there is a fine particulate matter sensor called SDS011 designed by the Chinese firm “Nova Fitness Co., Ltd”. The fine particulate measuring principle of the SDS011 sensor is based on fine suspended particle laser scattering.
The technical reference of this sensor specifies that it can be used at temperatures between -10°C and +50°C and at a relative humidity rate of up to 70%.
A study has focused on the precision of the SDS011 sensor and concluded that this sensor is able to provide precise PM2.5 concentration measurements under particular conditions, especially with regard to humidity in the air.
In this report, section 2.4 showed that the data of the Luftdaten SDS011 sensors are similar to those of the official measurements of the CELINE network. This initial comparison shows that the difference between the two is not considerable, but this comparison must be monitored in case the difference increases over time (damaged sensors).
6.2 - Analysis of the technical acceptability of readings
Before they were analysed, the raw data were assessed with regard to technical acceptability. The following data were excluded:
- Sensors with no humidity measuring instruments.
- Measurements where the humidity exceeds 70% at the same time
- Sensors which do not provide a regular enough supply of data
- Sensors whose variation in the reading of PM2.5 between two readings, at intervals of at least 2 minutes, was excessive.
In view of the fact that the SDS011 sensor manufacturer indicates that the instrument cannot be used in humidity conditions which exceed 70%, any sensors with no humidity measuring instruments have been excluded, and so too have readings taken at a time when the humidity rate was above 70%.
For some sensors, we observed an irregularity in the supply of data. In some cases, these sensors produced a measurement every 2-3 minutes, but with interruptions which sometimes exceeded an hour. These sensors were excluded as a precautionary measure.
For other sensors, we observed a phenomenon where the PM2.5 reading soars to extreme values, in some cases to the maximum (999 µg/m3) in under 5 mins, before subsequently dropping to normal values in the space of a few minutes. This phenomenon is illustrated in Figure 31. It may be due to the sensor being momentarily blocked by dust or mist. These PM2.5 concentration readings were excluded from the subsequent analysis as a precautionary measure.
6.3 - Collection, filtering and geolocation of data
Data are collected from the monthly files on luftdaten.info. Data are supplied in time series along with the sensor ID and sensor position in geographical coordinates (latitude and longitude).
Luftdaten.info supplies data related to the whole of Europe and also other continents. By initially filtering data based on geographical location, it is possible to classify them and use only those taken from sensors located in a rectangle around Brussels. By subsequently filtering data based on distance, it is possible to restrict the sensors to those located within 15 km from the centre of Brussels.
Finally, the geolocation services of Google and Open Street Map are used to identify the postal address relating to the geographical coordinates of the sensors. These geolocation services provide the nearest postal address of the geographical coordinates. In some cases, there may be several candidate addresses such as, for instance, when the geographical coordinates provided by the fitter of the sensor are near to a division wall, in the middle of a garden or any other place between several addresses. Therefore, the address may not correspond to the precise installation address of the sensor, but to a nearby address.
Once the address has been ascertained, only sensors with an address located in the Brussels region are used. In this report, we have excluded the street number out of confidentiality and respect for privacy.