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Submit Date Name Organisation Statement of capabilities/facilities
2019-07-27. Prashant Kumar University of Surrey I lead the Global Centre for Clean Air Research which is equipped with Air Quality Laboratory, where our latest addition to the 'low-cost' environmental pollution chamber that can allow simulating the environmental atmospheric and polluton conditions. Besides we are developing techniques for data cleaning, gaps filling, drift of low cost sensors besides their development and evaluation from over many years via projects such as iSCAPE and Surrey/NPL iCASE Studentship and UK-Brazil NOTS project allow setting up and evaluation of sensor network in a different environment. Some publications:
Ottosen, T.B. and Kumar, P., 2019. Outlier detection and gap filling methodologies for low-cost air quality measurements. Environmental Science: Processes and Impacts 21, 701-713 .
Rai, AC., Kumar, P., Pilla, F., Skouloudis, AN., Sabatino, SD., Ratti, C., Yasar, A. Rickerby, D., 2017. End-user perspective of low-cost sensors for outdoor air pollution monitoring. Science of the Total Environment 607608
2019-07-08. Mariusz Rogulski Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental Engineering, Department of Informatics and Environmental Qualit Our tasks:
* analyze sensor indications in relation to meteorological conditions (temperature, humidity, wind)
* make stationary tests and also we've used drones, balloons, ships
* examine low-cost PM sensors and low-costs for other pollutants - NO2, SO2, O3
* conduct comparative tests of low-cost sensors with reference devices
* construct measuring devices, create software and collect measurement data
* formulate calibration functions to minimize measurement errors and we test their quality
Our experience:
* 5 years of experience in the study of low-cost sensors (in the laboratory and in the field)
* 3 years operating the measurement network (with low-cost PM's) in one of the cities in southern Poland, consisting of 10 devices
* over 100 built measuring devices
* participation in 3 comparative measurement campaigns - low costs vs. reference devices
2019-06-29. Szymon Jakubiak Central Institute for Labour Protection - National Research Institute We have expierience in working with low-cost particulate matter sensors.
We are able to run comparison tests of low-cost sensors with laboratory grade particle counters as well as gravimetric method in both real world and laboratory conditions.
We have experience in development and construction of electronic circuits for handling and supporting low-cost sensors as well as writing software for recording measurement data.
We are capable of designing and 3D printing enclosures and test stands.
2019-06-27. Jeanne Malet IRSN Interested to participate to the tests of low cost sensors Under calm air (aerosol chamber) or under Wind conditions ( Wind tunnel).
Experimental facilities available
2019-06-25. Laurent Spinelle INERIS - Leader in the development of metrological certification protocols for ambiant air quality sensors used for fixed measurements of pollutants cited in Directive 2008/50/CE (partnership INERIS and LNE),
- Field campaign with enriched air matrix: simultaneous tests of multiple sensors with reference measurement methods.
- Possibility to add gaseous compounds or different type of particulate matter in the air flow to increase the concentration range during Field test. Potential pollutants: PM10, PM2.5, NOx, O3.
- Possibility to check interference effect within an ambiant air matrix with ambiant temperature and humidity.
- Data Analysis and Field measurment uncertainty estimation
2019-06-24. Nathalie REDON IMT Lille Douai 1 - Leader of the working group on sensors for regulated pollutants within the Central Laboratory for Air Quality Monitoring (https://www.lcsqa.org/fr ; France).
2 - Development of metrological qualification protocols for air quality sensors used for fixed measurements of pollutants cited in Directive 2008/50/CE. Organization of measurements qualifications in laboratory and comparison exercises on field (partnership with INERIS and LNE)
3 - Research works on the development of sensors for the detection of specific species of interest: ammonia, formaldehyde, H2S, particulate ammonium nitrate.
4 - Proposal for the project : Add a specific work on determination of the impact of mobility on the response of sensors for rebuilding a map (influence of speed, response time, etc.) and on the validation of the methodology by implementation of field tests. Deliverable: Qualification protocol "in mobility".
2019-06-20. Marta Doval Minarro Technical University of Cartagena 1. Integration of commercial components, including sensor units, and development of hardware and software. We are able to use our own wireless communication infrastructure.
2. Field trials: possibility of collocation of sensors next to reference methods. Potential pollutants: PM10, PM2.5, NOx, CO, CO2, SO2, O3. Data analysis.
3. Calibration of sensors: using reference kits of sensors and developing dynamic calibration methods based on machine learning algorithms.
4. Development of non-relational data bases and storage of information in our own servers.
5. Design and development of web pages to show real-time data of the sensors, if needed.
2019-06-19. PAOLO SOMMELLA University of Salerno - Dep. of Industrial Engineering Distributed Measurement Systems for Smart Metering Application
Data Analytics
Measurement Uncertainty Estimation
Sensor Calibration
Realt-time Digital Signal Processing
Development & Charcterization of Wireless Communication Protocols
2019-06-19. PAOLO SOMMELLA University of Salerno - Dep. of Industrial Engineering Distributed Measurement Systems for Smart Metering Application
Data Analytics
Measurement Uncertainty Estimation
Sensor Calibration
Realt-time Digital Signal Processing
Development & Charcterization of Wireless Communication Protocols
2019-06-18. Nick Martin NPL Coordinate project, Test chamber laboratory facilities, AQ monitoring field facilities, Standardization activities, Data Science
2019-06-18. Nick Martin NPL Coordinate project, Test chamber laboratory facilities, AQ monitoring field facilities, Standardization activities, Data Science

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