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Real time mobile sensing of the environment. Peter Landshoff Rod Jones Michael Simmons Eiman Kanjo Iq Mead Mark Hayes Mark Calleja NO 2 mobile sensing:. [Calleja]. GPRS (data transmission). GPS (location). SENSORS. Other data (met, traffic….). mobile sensor network. archive.
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Real time mobile sensing of the environment Peter Landshoff Rod Jones Michael Simmons Eiman Kanjo Iq Mead Mark Hayes Mark Calleja NO2 mobile sensing: [Calleja]
GPRS (data transmission) GPS (location) SENSORS Other data (met, traffic….) mobile sensor network archive Combine technologies to provide sensitive low cost sensor network [Hayes] Real time data processing/ data assimilation PRODUCTS Environment….. Regulation…… Exposure….. Transport….. …… [Kanjo, Louden, Mead]
Pollution events Changes in air quality driven by both traffic and meteorology Multiple species measurement Sensor reproducibility [Stewart, Jobalja, Mead]
Multi-species real time high spatial resolution mapping of air quality in complex environments Nitric Oxide Nitrogen Dioxide Carbon Monoxide Urban composition is highly structured, variable, interdependent and complex…. [Stewart, Jobalja, Mead]
29/01/2009 • 14:30 - 17:30 • Central Cambridge split into 3 zones (A, B & C) • 6 sensors divided into 3 groups. • A14 joined expt. at 16:30. CCB Chem Dept
Preliminary comparison with validated site (CCC) Laboratory cal/cross interference
Junction (Very high traffic density) High traffic density Static traffic Moderate traffic density Low traffic density No traffic
Emmanuel Rd, 17:10 [CO]= 1,062 ppb A12 30s CO Central Cambridge Gonville Place, 15:48 [CO] = 2,000 ppb Lensfield Rd, 14:47 [CO] = 714 ppb
Bus Station, 16:14 [NO] = 1. 527 ppm A15 30s NO Zone A Cambridge Zone B average,14:45-15:30 [NO] = 0.151 ppm Lensfield Rd, 17:07 [NO] = 392.9 ppb Zone A average,16:30-17:20 [NO] = 0.163 ppm
A15 30s NO Zone C Cambridge Emmanuel Rd, 16:14 [NO] = 820 ppb
A15 30s NO Zone B Cambridge Gonville Place, 15:35 [NO] = 358 ppb
15:01-15:04 All conc. in ppb [CO] = 89 ± 26 [NO] = -33 ± 5 [NO2] = 29.5 ± 0.8 [CO] = 84 ± 14 [NO] = 83 ± 15 [NO2] = 31.8 ± 0.5 [CO] = 616 ± 22 [NO] = 12 ± 6 [NO2] = 30.7 ± 0.5 [CO] = 126 ± 15 [NO] = 188 ± 42 [NO2] = 30 ± 3 [CO] = 260 ± 22 [NO] = -13 ± 5 [NO2] = 26.7 ± 0.3 [CO] = 186 ± 17 [NO] = 59 ± 15 [NO2] = 31.8 ± 0.5
16:01-16:04 All conc. in ppb [CO] = 133 ± 28 [NO] = 43 ± 12 [NO2] = 34.1 ± 0.7 [CO] = 137 ± 9 [NO] = 60 ± 7 [NO2] = 29.9 ± 0.6 [CO] = 31 ± 6 [NO] = 37 ± 7 [NO2] = 31.9 ± 0.8 [CO] = -1 ± 17 [NO] = 105 ± 16 [NO2] = 26.9 ± 0.3
17:01-17:04 All conc. in ppb [CO] = -26 ± 5 [NO] = 190 ± 19 [NO2] = 27.7 ± 0.2 [CO] = 192 ± 19 [NO] = 145 ± 19 [NO2] = 36 ± 2 [CO] = 57 ± 23 [NO] = 23 ± 8 [NO2] = 33.0 ± 0.6 [CO] = 31 ± 12 [NO] = 43 ± 10 [NO2] = 29.8 ± 0.5 [CO] = 133 ± 3 [NO] = -11 ± 3 [NO2] = 30.1 ± 0.3
Technical progress • Phone software now robust (run-time >8 hours) • Visualisation now implemented using Google Earth browser plug-in • eScience interface to database (OGSA-DAI) implemented
Ongoing work • Characterization of data quality & database cleansing • Automatic data post-processing • Preparation for June 30th event • Logistics for large scale Cambridge deployment
Areas covered in Central Valencia 2.28 Km 2.69 Km
Wind direction Courtesy of OMEGA: www.omega.mmu.ac.uk Exhaust Plume: in situ sensor detection of NO, NO2, CO 4 take-offs a.m. and p.m. clearly seen in NO2 Take-offs: New result: detection of aircraft plume using portable low cost mobile sensors (NO, NO2, CO)
Summary and future directions • Achievements • Low cost mobile sensor unit for real time NO, NO2 and CO, including GPS, GPRS • Multiple sensor network (currently 20 units) • Data capture • Future (within MESSAGE) • Extend to > 60 units • Extend to CO2, VOCs, SO2 • Future (beyond MESSAGE) • Additional species, aerosols • NERC/LHR?