Networked Environmental Monitoring, Copenhagen, Feb. 21-23, 2017

International training course:

Networked Environmental Monitoring
– from sensor principles to novel services
in cooperation with Aarhus University, Aristotle University Thessaloniki and AMA Association for Sensors and Measurement.February 21-23, 2017, Copenhagen

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Flyer with complete program (printer friendly version).

Complete program

Day 1 – Tuesday, Feb. 21, 2017

11:00 optional visit to Air Quality monitoring station at H.C. Andersen’s Boulevard operated by Department of Environmental Science, AU

13:00 Welcome, introduction and goal of the seminar,
O. Hertel, A. Schütze, K. Karatzas

Environmental monitoring today and tomorrow
Smart and green cities: how and why?
Overview and goal of the seminar

13:30 Introduction to air pollution, O. Hertel

Pollutants: gases and particles
Atmospheric chemistry
Health effects and external costs of Air Pollution
Atmospheric particles – physical and chemical properties, sources and sinks
Integrated monitoring and assessment

14:30 – 15:00 coffee break

15:00 Air pollution meteorology, O. Hertel

Turbulence
Atmospheric Stability
Mixing height
Impact on dispersion and transport

16:30 – 17:00 coffee break

17:00 Application example: AQ monitoring around Heathrow airport, R. Jones, U Cambridge

Background and motivation
Sensor nodes and installation
Data processing and in-network calibration
Results and lessons learned
Presentations (EuNetAir meeting Rome, Dec. 2012; EuNetAir meeting Istanbul Dec. 2014)

End approx. 18:00

19:00 dinner and get-together: Restaurant Nimb (in amusement park Tivoli)

Day 2 – Wednesday, Feb. 22, 2017

9:00 Gas sensor function principles, A. Schütze

IR absorption
Electrochemical cells
Semiconductor gas sensors (metal oxide and conducting polymer sensors)
Field effect devices
Mass sensitive devices (bulk and surface acoustic wave)
Examples from nanotechnology and materials development

10:00 Gas sensor characterization and calibration, A. Schütze

The 3S: Sensitivity, Selectivity and Stability
Influence of ambient conditions
Sensor drift, aging and poisoning
Gas mixing systems and field calibration

10:30 – 11:00 coffee break

11:00 Microsensor developments for particulate matter, A. Massling, ENVS, AU

Physical parameters of particulate matter with health relevance (Particle number, Ultrafine Particle number, Particle Mass, Particle surface area)
Current knowledge on health relevance of these parameters
Newest developments of miniature versions of particle sensors
Expected future needs and importance of such developments

12:00 Sensor network deployment, A. Schütze

Fixed monitoring stations
Mobile monitoring stations (on trams, buses, cars)
Personal mobile monitoring systems
Sensors on drones

Lunch break (approx. 12.30 – 13.30)

13:30 Multi-sensor systems (aka „electronic noses“), A. Schütze

Motivation for multi-sensor systems
Basic concepts and typical solutions
Advantages and drawbacks of multi-sensor systems
„Virtual multi-sensors“: obtaining multi-dimensional data from a single sensor element
Multi-sensor signal processing and data fusion
Application examples: quantitative ozone measurement, odour assessment

15:00 – 15:30 coffee break

15:30 Application example: Outdoor odour nuisance monitoring, W. Reimringer, 3S

Background and motivation
Sensor nodes
Sensor installation
Citizen network as odour reference
Results and lessons learned

16:15 Gas sensors in your smartphone: potential applications, A. Schütze, K. Karatzas

Gas sensor technologies for integration in smartphones
Breath alcohol monitoring
Indoor Air Quality (tVOC)
Personal fire alarm
Further application potential and service deployment

18:30 – 21:00 finger food dinner and hands-on examples for low-cost sensor platforms
Dinner speech: Infrastructure for successful AQ networks: R&D requirements in the next 5 years, J. Saffell, AlphaSense

Day 3 – Thursday, Feb. 23, 2017

9:00 Air pollution modelling, O. Hertel, K. Karatzas

Plume models, urban scale and CFD
Street pollution modelling and human exposure assessment
Hot spots, indoor and outdoor exposure patterns
Examples of refined AQ level estimation based on data fusion and AQ modelling
Regional scale to long-range transport air pollution modelling – processes, methodologies, examples

10:15 – 10:45 coffee break

10:45 Data‐oriented analysis and modelling for air quality control, K. Karatzas

Introduction to data analysis (descriptive statistics, trend analysis)
Multivariate correlation analysis
Periodicity identification based on FFT
Computational intelligence methods (Artificial Neural Networks for modelling, Self Organizing Maps for data investigations and profiling)
Examples of sensor data analysis (the Aveiro experiment, mobile phone sensor data analysis)

11:30 From AQ data to personalized Quality of Life information services, K. Karatzas