Use of sensors for air quality assessment: possibilities and challenges

Transcription

1 Alena Bartonova, , 23 rd EIONET workshop Prague Use of sensors for air quality assessment: possibilities and challenges Alena Bartoňová, Núria Castell, Augustin Collette, Laure Malherbe, Philipp Schneider, Mar Viana, Marita Voogt, Ernie Weijers, Joost Wesseling

2 Outline Reflection on assessments from monitoring/measurement point ot view Challenges and opportunities Possible way forward

3 Why assessments? Monitoring/measurement technology and QA/QC reflect the purpose of assessment: Compliance with legislation (comparability of data across a region) Scientific research Other purpose (information needs, citizen science)

4 Technologies Source: NILU

5 Technologies Source: NILU

6 Technologies Source: NASA, Source: NILU; AQMESH; NASA

7 Technologies Source: NASA, Source: NILU; AQMESH; NASA

8 Technologies Source: NASA, Source: NILU; AQMESH; NASA

9 Technologies Source: NASA, Source: NILU; AQMESH; NASA

10 Low cost sensors: opportunities The monitoring unit is «low cost» compared to reference instruments > potential for large deployment For publikum: «plug and play», «do it yourself» kits

11 Low cost sensors: challenges Quality of output and data interpretation Connectivity and upscaling

12 Quality of output Large deployments require smart calibration

13 Quality of output: Lab and field calibration Source: Fishbain et al (2017), Sci Tot Env 571 ( ) Source: NILU Source: Kitzel et al (2018), Environ Pollut 233( ), figure D. Broday

14 Quality of output: Machine learning Source: Topalovic et al., in review for Atmospheric Environment

15 Data interpretation Sensor system unit is not a miniature reference station (low public literacy in metrology) Siting: natural variability and large gradients of air quality within an urban area Strenght is in numbers: the network 15

16 Communicating information Screen from the CITI-SENSE project, Still from smartphone app Mijn Luchtkwaliteit my air quality

17 Communicating information

18 Communicating information Still from

19 Communicating information airindex.eea.europa.eu regulatory monitoring combined with Copernicus observing system

20 Connectivity and upscaling Source: CITI-SENSE project,

21 Way forward Sensor systems network infrastructure (heterogeneous sensor system deployment; ICT infrastructure for data harvesting) (Requires new funding mechanisms?) Data processing infrastructure (on the fly calibration, real time products) (Service provided by the municipality/epa?) Information solutions and data sharing (Smart Cities, Industry and SMEs, Citizens and Communities) (business?)

22 Connectivity and upscaling Source: CITI-SENSE project,

23 Connectivity and upscaling Sensor Source: CITI-SENSE project,

24 Connectivity and upscaling Sensor Sensor Sensor Source: CITI-SENSE project,

25 Connectivity and upscaling Sensor Sensor Sensor Sensor Source: CITI-SENSE project,

26 Connectivity and upscaling Sensor Sensor Sensor Sensor Sensor Source: CITI-SENSE project,

27 Sensor systems network infrastructure Communication GPRS, LoRa, wifi, other protocols different coverages, proliferation, costs alliances with private actors (telecom, energy companies) Smart Cities approaches Data repositories

28 Data processing infrastructure From raw data to processed/quality assured data Research questions: Calibration routines (individual instrument - CEN; network -?) Sensor network properties Visualisation methodologies Underlying technologies and connectivity/datasharing

29 Data processing infrastructure: UTD air quality map Source: Schneider, P., Castell, N., Vogt, M., Dauge, F. R., Lahoz, W. A., & Bartonova, A. (2017). Mapping urban air quality in near real-time using observations from low-cost sensors and model information. Environment International, 106,

30 Data processing infrastructure: UTD air quality map Comparing sensor system, reference, fusion result (March Reference 2016) instrument Traffic station Urban background Node Source: Schneider et al, Environment International, 106, Data fusion result

31 NL: National portal samenmeten.rivm.nl Sensor data portal (in Dutch) In December 2017, RIVM has launched an experimental sensor data portal. The goal is to make environmental sensor data from citizens, local governments and others in the Netherlands available through a central database. In this experimental phase RIVM uses the data for several research topics, for example developing on the fly calibration algorithms, assimilating sensor data in hourly air quality maps and testing data visualizations for citizen scientists.

32 The US EPA Office for Research and Development Reserach on emerging technologies (discovery, evaluation, application) Air sensor toolbox (guidance and guidebooks, technical evaluation of sensors, individual an community training, resources on sensor performance, news) also input from JRC Application challenges Support to citizen science/local activities

33 In summary: Tasks involved in large scale deployment of sensor systems The flow of tasks includes: Deployment of (large number of heterogeneous) sensor systems Ensuring communication and data harvesting Ensuring quality of data, including correctness of observations Ensuring access to data and their connectivity Providing information in an appropriate way Developing appropriate action on the information. after Morawska et al., 2018, Environ Int.

34 In summary: Main application areas Awareness and engagement (now) Small scale pilots: living labs Information solutions for UTD information: Sensor network & modeling: local information (near future) Possible complement to monitoring systems (less near future)

35 Thank you Questions?