Meng Loft. Air quality mobile application

Transcription

1 Meng Loft Air quality mobile application

2 Introduction: development contex Political will to better communicate on air quality Give an answer to the non reliable App Developed by the LU Environment Agency and 4sfera team (multidisciplinary project) Multilingual App (FR, DE and EN) Download: ctie.qualiteaire&hl=en_us 2

3 My Air Quality Index Air Quality Index (AQI) given for your position «My Position» in Luxembourg. A global index for the whole territory is given outside of the country. AQI going from 1 (Excellent) to 10 (Miserable) based on the main pollutants: ozon (O 3 ), nitrogen dioxide (NO 2 ) and fine particles (PM10) Advice messages: Public transport, Carpooling & carsharing, Sport and Health 3

4 Advice Messages Promotion of everyday gestures that are respectuous of air quality: Public transport Carpooling & Carsharing «Sport» and «Health» messages are in direct relation with the AQI level. They are addressed to the sensible or vulnerable population and general population. 4

5 Meng Loft: Menu The menu gives naturally access to all sections of the App: My Air Quality Index Map of the Stations List of Stations About Air Quality Health & Advice Methodology About the App Thereafter the description of each section 5

6 Spatial distribution map of the stations The AQI is calculated at all stations How? The non measured pollutants are replaced by real time modelling Asset: stations are made comparable in case of PM or O 3 peak Click on the station to access the «tooltip» and details of the station. 6

7 List of stations with date/time of last update Typ of stations AQI at station level If italic, solution comes from modelling Click on the station to access its details Benefit: This screen gives a quick overview on the stations Air Quality Index 7

8 Detail at the station level AQI at the station. If a modelled pollutant triggered the index, then AQI appears in italic and a tooltip informs the user Access to sub-indexes (ozon, fine particles, nitrogen dioxide) ranked in descending order. In this example O 3 degrades the most air quality Recent hourly (sub)-index is also accessible via a swipe on the screen. Graph presenting station AQI as a curve (18/24h) Measured value (black) VS modelled solution (grey) 8

9 This section answers to some questions like : What is Air Quality? What is atmospheric air pollution? What are the main pollutants? and gives access to useful informations available on Near real time measurements at the stations Interpolation / forecasting Air Quality bulletin A full description of the atmospheric pollutants 9

10 To give to the user more info on: Relation between atmospheric pollution and health effects. A short description of the sensible or vulnerable population. General precautions in relation to AQI (general population vs vulnerable or sensitive population) Link to «Météolux» with some recommandations (O 3, PM10 or heat wave) From Index 4 (relatively good), sensible or vulnerable group of persons might be affected. From Index 7 (poor), even the healthy population could feel some effects on their health. 10

11 Methodology (1) How is the overall index calculated Revision of the AQI classes? Take into account legal aspects (2008/EU/CE) and the risk for the health How the geolocalized index is built? For regional pollutant (PM10, O 3 ), the geostatistical modelling is well adapted. Local pollutant (NO 2 ) requires the development of an adapted technique. 11

12 Methodology (2): geostatistical modelling Key aspects: Shows the most probable distribution of the pollutant between the fixed measurement stations (Kriging) Near real time at the resolution of 1 km 2 Based on biophysical occupation of the soil For regional pollutant (PM10, O 3 ), this technique is well adapted 12

13 Methodology (3): Split of the territory Key aspects: Based on landuse (biophysical occupation of the soil), road network, height of the buildings and traffic data Urban area/rural area based on OBS classes Traffic area = Poor dispersion area with a high volume of traffic Usage of the representativity of the stations 13

14 Contact Administration de l environnement Unité surveillance et évaluation de l environnement Groupe Mesurages et Analyses Mail: Internet: eric.vansuypeene@aev.etat.lu Do you have questions or any comments? 14