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Air pollution @ EcoHackSF
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EcoHackSF
May 09, 2014
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Air pollution @ EcoHackSF
EcoHackSF
May 09, 2014
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Transcript
Air Quality / Data Quality Collection Validation Presentation Action
Air Quality –> Health
How is it Quantified? US EPA uses 5 major pollutants
to calculate Air Quality Index (rough threshold measurements shown) ! • Carbon Monoxide (CO) (9 ppM) • Nitrogen Dioxide (NO2) (52 ppB) • Sulfur Dioxide (SO2) (75 ppB) • Ozone (O3) (0.75 ppM) • Particulate (PM 2.5/10) (12/150 ug/m3)
Current Approach to Monitoring • EPA Air Quality System and
AirNow
Resolution Problem • Roughly 4000 active monitoring stations active around
the USA ! • Average 1 per 1000 miles2 ! • Pollutants such as CO and NO2 can vary widely on the order of meters
Problem Illustrated Locally Red Dots are the 3 Official Monitoring
Stations
Improving Resolution • More Sensors? – Cheaper – Easier to
Install • Moving Sensors? – Track GPS Coordinates – How/Where to go? • Issues of Reliability (Data Quality)
General Approach Stepping Back a Bit
Who’s Involved • Everyone • Hobbyist/DIY • Grassroots ORGs •
Universities/Research Institutes • Local Gov’t • Private/Corporations • Federal Gov’t
Data Collection Abstracted Sensing Device Local Storage Database Analysis/ Display
Filtering Use
One Concrete Example EPA Server
Another Concrete Example Public Mapping System Public Database
Sensor Examples • Arduino/DIY • Commercial/Industrial Sensors • Gov’t/Scientific Sensors
! • Cheap sensors typically for short-term danger levels • Better sensors can track long-term health risks
Mobile Applications • Location Services Integrated (varying quality) • Short-term
storage • Initial filtering/analysis • Uplink to servers • Real-time feedback • Control sensor settings • Ubiquitous
Database Examples • Xively • ManyData • ThingSpeak • ….
• EPA AirData • BAAQMD • …. • AWS • Your own server
Analysis/Presentation • Google Maps • Open Street Map • Various
GIS systems/protocols • Twitter • Alarm system • Print • ….
EcoHack Proposal Focusing In A Little Bit
Sensor • Lots of sensors out there – all with
different performance • Why start with CO? – High concentrations – Can vary widely by location – Immediate & long term toxic effects
Mobile Data Collection • Recording Data – Header – Long/Lat
Coordinates – Time Stamp – Values • Recording Recording Devices – UUID – Calibration Data – Phone serial # and GPS data • Processing on mobile – Filter bad data – Upload in different formats for different servers
Thanks West Oakland Environmental Indicators Project