Gathering of air pollution data in real time and storing them in a database for further use using them for real time alerting system would be the key step in developing an Air Quality Management (AQM) system Easy to create a bouquet of services will be a primary need of specific areas management agencies and their funding bodies (Municipalities, Regional and Central Government)

1. Technological Educational
Institution of Western Greece
Integrated Environmental Management
Air Quality Monitoring System
(IAPETuS)

2. The Problem
Local Authorities today required
by law to conduct regular Local
Air Quality Reviews of key
pollutants such as PM, Benzene,
SO2, NOx or Ozone - produced
basically by industrial activity
Current legislation requires
informing the public on air
quality
Every year, more than 400.000 people in
the EU die prematurely due to the
consequences of air pollution: this is
more than 10 times the toll of road traffic
accidents.
Another 6.5 million people fall sick as air
pollution causes diseases such as strokes,
asthma and bronchitis.
Air pollution also harms our natural
environment, impacting both vegetation
and wildlife: almost two-thirds of
Europe’s ecosystems are threatened by
the effects of air pollution.

4. The Problem
Premature deaths attributable to PM2.5, O3 and NO2 exposure
in 2014 in 40 European countries and the EU-28
• PM2.5 ~ 400,000
• O3 ~ 15,000
• NO2 ~ 70,000
Main Pollutants
• Particulate Matter, especially PM2.5
• Ground Level Ozone
• Nitrogen Dioxide
• Carbon Monoxide
• Sulfur Dioxide
• Benzo[a]pyrene
• Toxic Metals
PYRAMID OF EFFECTS

5. The Solution
Implementation of EU Clean Air Policy Package

6. The Solution
The EU Clean Air Policy Package by 2030 is estimated to
– prevent 58.000 premature deaths
– save 123.000 km2 of ecosystems from nitrogen pollution
– save 56.000 km2 of protected Natura 2000 areas from
nitrogen pollution
– save 19.000 km2 of forest ecosystems from acidification

7. Continuous Air Quality Monitoring (AQM)
Types of Measurement
– Measurements of Emissions
– Ambient Air Quality
Techniques & Parameters
– Location
– Real Time
– Duration of Sampling
– Amount of Sampling
– Continuity of Sampling
– Meteorological Monitoring at the Same Time

8. Why RAWFIE for AQM
• Gathering of air pollution data in real time and
– storing them in a database for further use
– using them for real time alerting system
would be the key step in developing an Air Quality Management (AQM)
system
• Easy to create a bouquet of services will be a primary need of specific
areas management agencies and their funding bodies (Municipalities,
Regional and Central Government)
• RAWFIE adapts UAV technology and by using additional small AP
monitoring sensors, increase accuracy and flexibility of measurement and
monitoring AQ at problematic areas
• RAWFIE experiments will bridge an important gap from research to actual
commercial or governmental bodies’ applications

9. IAPETuS
We propose a novel system that collects air sampling field data for a given
location (especially for natural protected areas) in 3D space. Smart Drones
(RAWFIE) mounted with relevant components for air quality measuring is
deployed.
Data collected from the system will be efficiently transmitted to the storing
and monitoring devices. Knowledge of existing air pollutants levels and
patterns are taken into consideration in order to analyze a given situation.
Data will be stored in cloud storage for further analysis and record keeping.

10. IAPETuS
RAWFIE platform facilities will be utilized to execute a series of experiments in
order to assess and identify the optimum way to utilize available UAVs
resources for the purpose of examining the area of a “natural network” for
any kind of aerial pollution.
Our purpose is to use different kind o UxVs whose type and variety will be
related to its missions and objectives.
1) Fixed wing UAV for rapidly inspection of the large area and
2) A light UAV to inspect precisely any problematic areas that first flight
presents.
Furthermore our proposal objective is the development of tools (components,
systems), know-how and best practices for monitoring and visualization of
critical environmental areas (eg areas NATURA2000, RAMSAR).

11. Work plan
• Six Tasks
• Task 1. Coordination and management
• Task 2. Deep knowledge of RAWFIE Design Framework, Knowledge
sharing, Requirements and Architecture
• Task 3. Experiment Design and Data Collection - Setup Integration
and Validation
• Task 4. Experiment Setup and Execution
• Task 5. Using of Data – General Reporting of Results
• Task 6. Results Exploitation and Dissemination (conferences,
workshops, fire events) and Creation of Demo

12. Work plan
• Six Deliverables
• Management & Finance Report
• Report on RAWFIE design framework requirements &
architecture
• Setup Integration, Validation Report, Report on assessment
of the data collection procedure
• Report on the definition of the test procedures and test set-
up for the validation of system
• Report on the measurements and field testing of the system
and on the data collected, analyzed and presented
• Dissemination, Exploitation & Networking plan

13. Work plan
• Nine Persons
• Spiros Sirmakessis, Professor, Deputy President for R&D
• Paraskevas Kitsos, Assistant Professor
• Papadatos Panagiotis, Electrical Engineer MSC, MBA
• Dr. George Katselis, Professor
• Dr. Alexios Ramfos, Assistant Professor
• Dimitris Vossos, Electrical Engineer
• Marios Katsis, Electrical Engineer, MSc
• Drone Pilot
• Land Surveyor-Civil Engineer

14. Impact
IAPETuS project will focus on ensuring quality,
sustainability and exploiting the full potential of RAWFIE
by creating more awareness, with a stronger focus on the
commercial offering and references that show real-life
cases
Activities to maximize the impact:
– Creating a broader ecosystem of developers and users
– Providing training and educational tools
– Attracting companies and private investments to the
RAWFIE
– Getting political support and visibility through policy-
makers

15. Technological Educational
Institution of Western Greece
Integrated Environmental Management
Air Quality Monitoring System
(IAPETuS)