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:

Slides:

Advertisements

Similar presentations

Integrated modelling and monitoring for use in forecasting Jørgen Brandt and Finn Palmgren National Environmental Research Institute Department of Atmospheric.

Advertisements

ESTO Advanced Component Technology 11/17/03 Laser Sounder for Remotely Measuring Atmospheric CO 2 Concentrations GSFC CO 2 Science and Sounder.

CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.

PM 2.5 in the Upper Midwest Michael Koerber Lake Michigan Air Directors Consortium.

PREV ’AIR : An operational system for large scale air quality monitoring and forecasting over Europe

Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.

Clark County Regional Ozone and Precursor Study (CCROPS) Robert A. Baxter, CCM T&B Systems Clark County Air Quality Forum – 03/14/06.

Aerosol Measurements in London using the OPAL Weather Station Network: Preliminary Results from the EM25 Campaign Claire McConnell Ralf Toumi (Imperial.

METO 637 LESSON 18. Schematic of ozone production from VOC.

Transpacific transport of pollution as seen from space Funding: NASA, EPA, EPRI Daniel J. Jacob, Rokjin J. Park, Becky Alexander, T. Duncan Fairlie, Arlene.

Observational Approaches for Climate Treaty Verification: Atmospheric observations provide the only source of independent information through which treaty.

Air Quality Monitoring In Singapore

IMPLEMENTATION OF EU AQ LEGISLATION IN THE CZECH REPUBLIC J. FIALA Czech Hydrometeorological Institute Prague, Czech Republic.

Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.

Missouri Air Quality Issues Stephen Hall Air Quality Analysis Section Air Pollution Control Program Air Quality Applied Sciences Team (AQAST) 9 th Semi-Annual.

Ozone Monitoring Trends in New Mexico Presented at the March 9-11, 2004, WESTAR Conference on Rural/Urban Ozone in the Western United States, Salt Lake.

Ambient Air Quality Monitoring in Pakistan Dr

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Evaluating.

Comparing Aircraft Measurements of Atmospheric Compounds with a Regional Photochemical Model by Jennifer Schiffelbein CE 394K GISWR Fall 2003.

June 12 &13, 2007 Mickey Leland National Urban Air Toxics Workshop II – Houston, Texas 1 Albuquerque, New Mexico Community Scale Ambient Air Monitoring.

Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.

The DAPPLE project: Overview and wind tunnel experiments Alan Robins 1, Paul Hayden 1, Janet Barlow 2, and the DAPPLE Consortium Home Office CBRN S&T Programme.

COMPARISON OF LINK-BASED AND SMOKE PROCESSED MOTOR VEHICLE EMISSIONS OVER THE GREATER TORONTO AREA Junhua Zhang 1, Craig Stroud 1, Michael D. Moran 1,

INTELLIGENT TRANSPORT SYSTEMS

EXPOSURE ASSESSMENT PAG MEETING, 14/07/2003 SURREY UNIVERSITY.

Presentation by: Dan Goldberg Co-authors: Tim Vinciguerra, Linda Hembeck, Sam Carpenter, Tim Canty, Ross Salawitch & Russ Dickerson 13 th Annual CMAS Conference.

Next Generation Air Monitoring: An Overview of US EPA Activities National Air Quality Conference RTP, NC February 12, 2014 Tim Watkins US EPA/Office of.

Status of Garfield County’s Air Quality Monitoring Program April 6, 2006 Energy Advisory Board Meeting.

Estimate of Air Emissions from Shale Gas Development and Production in North Carolina July 8, 2015 Presented to the Environmental Management Commission.

Fig.6a,b. Simulation of wind fields and toluene plumes on (a) May 12 and (b) May 13. Red dot is the beach site. Very low level of toluene was observed.

Data Dissemination for Environment Monitoring Visalakshmi Suresh Prof. Paul Watson.

Norwegian Meteorological Institute met.no Contribution from MSC-W to the review of the Gothenburg protocol – Reports 2006 TFIAM, Rome, 16-18th May, 2006.

European Environment Agency FAIRMODE – status quo WG1 activities Anke Lükewille Air and Climate Change Programme European Environment Agency (EEA) SMHI.

Attaining urban air quality objectives- links to transboundary air pollution Helen ApSimon, Tim Oxley and Marios Valiantis UK Centre for Integrated Assessment.

Regional Modeling Joseph Cassmassi South Coast Air Quality Management District USA.

© Imperial College LondonPage 1 Simulation of London air quality during June 2006 and the effects of emission control scenarios Andrea Fraser NCAS funded.

Ministry of Environment and Spatinal Planning Environmental Protection Agency Air Quality in the Republic of Kosovo Ajet Mahmuti Officer for air quality.

Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:

11 September 2015 On the role of measurements and modelling in Dutch air quality policies Guus Velders The Netherlands (RIVM)

Ministry Of Environment JORDAN Jordan Air Quality Monitoring Network In 3 Cities: Amman, Irbid, Zarqa Monitoring and Assessment Directorate Director :

Seasonal Modeling of the Export of Pollutants from North America using the Multiscale Air Quality Simulation Platform (MAQSIP) Adel Hanna, 1 Rohit Mathur,

© 2013 UWE Is Local Air Quality Management a successful strategy in achieving selected EU Limit Values? Barnes, J.H., Hayes, E.H. & Longhurst, J.W.S. Air.

PBL FTS Institute Retreat June 16-19, 2008 – Chorus ATM-Group Simultaneous use of greenhouse gas concentration measurements and meteorological measurements.

DAPPLE Science Meeting 30 th November 2004 Department of Environmental Science & Technology Imperial College London, UK EXPOSURE ASSESSMENT S Kaur, M Nieuwenhuijsen,

Wildfire activity as been increasing over the past decades Cites such as Salt Lake City are surrounded by regions at a high risk for increased wildfire.

MOPITT and MOZART for Flight Planning and Analysis of INTEX-B Louisa Emmons Peter Hess, Avelino Arellano, Gabriele Pfister, Jean-François Lamarque, David.

©2003 P. Samson, University of Michigan PBL Plumes Pollutants Particles.

The FAIRMODE PM modelling guide Laurence ROUIL Bertrand BESSAGNET

The application of Models-3 in national policy Samantha Baker Air and Environment Quality Division, Defra.

AIR CLIMATE & ENERGY RESEARCH PROGRAM B U I L D I N G A S C I E N T I F I C F O U N D A T I O N F O R S O U N D E N V I R O N M.

Garfield County Air Quality Monitoring Network Cassie Archuleta Project Scientist Board of County Commissioners – Regular Meeting.

Exposure to air pollution in the transport microenvironment: how important is short-term exposure to high concentrations, and what are the determinants.

Air Quality Monitoring in São Paulo Metropolitan Area CETESB - São Paulo State Environmental Agency Maria Helena R. B. Martins Workshop.

Statewide Compliance Monitoring and Local Monitoring Projects

2016 Monitoring Results Harry Benders Network Manager.

DAPPLE Dispersion of Air Pollutants and Penetration into the Local

WMO Space Programme Update

Exposure to Air Pollution James Tate and Paul Seakins

High-resolution air quality forecasting for Hong Kong

Air Pollution Monitoring in Cities

Air Monitoring Trends in New Jersey

Composition and Layers of the Atmosphere

Jan Horálek (CHMI) Peter de Smet, Frank de Leeuw (RIVM),

Impact of Land use on Air pollution in Austin

J. Burke1, K. Wesson2, W. Appel1, A. Vette1, R. Williams1

1 Polluscope project from the sensors selection to their deployment during field campaigns involving volunteers B. Languille1, V. Gros1, N. Bonnaire1,

Emission and Air Quality Trends Review

Georgia Institute of Technology

EMEP case studies on HMs: State of the art

Summary: TFMM trends analysis

Presentation transcript:

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]

GPS (location) GPRS (data transmission) SENSORS archive Real time data processing/ data assimilation PRODUCTS Environment….. Regulation…… Exposure….. Transport….. …… Other data (met, traffic….) mobile sensor network Combine technologies to provide sensitive low cost sensor network [Kanjo, Louden, Mead] [Hayes]

Changes in air quality driven by both traffic and meteorology Pollution events Sensor reproducibility Multiple species measurement [Stewart, Jobalja, Mead]

Carbon Monoxide Multi-species real time high spatial resolution mapping of air quality in complex environments Nitrogen Dioxide Nitric Oxide Urban composition is highly structured, variable, interdependent and complex…. [Stewart, Jobalja, Mead]

Sensors14:30-14:4514:45-15:3015:30-16:3016:30-17:2017:20-17:30 A12 (gp1)ChemZONE AZONE BZONE CCCB A13 (gp1)Dept. A15 (gp2)ZONE BZONE CZONE A A16 (gp2) A17 (gp3)ZONE CZONE AZONE BChem A19 (gp3)CCBDept. 29/01/ : :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

Gonville Place, 15:48 [CO] = 2,000 ppb Lensfield Rd, 14:47 [CO] = 714 ppb Emmanuel Rd, 17:10 [CO]= 1,062 ppb A12 30s CO Central Cambridge

Bus Station, 16:14 [NO] = ppm Zone B average,14:45-15:30 [NO] = ppm Zone A average,16:30-17:20 [NO] = ppm A15 30s NO Zone A Cambridge Lensfield Rd, 17:07 [NO] = ppb

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] = 126 ± 15 [NO] = 188 ± 42 [NO2] = 30 ± 3 [CO] = 186 ± 17 [NO] = 59 ± 15 [NO2] = 31.8 ± 0.5 [CO] = 260 ± 22 [NO] = -13 ± 5 [NO2] = 26.7 ± 0.3 [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

16:01-16:04 All conc. in ppb [CO] = -1 ± 17 [NO] = 105 ± 16 [NO2] = 26.9 ± 0.3 [CO] = 31 ± 6 [NO] = 37 ± 7 [NO2] = 31.9 ± 0.8 [CO] = 133 ± 28 [NO] = 43 ± 12 [NO2] = 34.1 ± 0.7 [CO] = 137 ± 9 [NO] = 60 ± 7 [NO2] = 29.9 ± 0.6

17:01-17:04 All conc. in ppb [CO] = 31 ± 12 [NO] = 43 ± 10 [NO2] = 29.8 ± 0.5 [CO] = 133 ± 3 [NO] = -11 ± 3 [NO2] = 30.1 ± 0.3 [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

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

Map divided into zones

Areas covered in Central Valencia 2.28 Km 2.69 Km

CO overview, 8 sensors boxes

Exhaust Plume: in situ sensor detection of NO, NO 2, CO Wind direction 4 take-offs a.m. and p.m. clearly seen in NO 2 New result: detection of aircraft plume using portable low cost mobile sensors (NO, NO 2, CO) Take-offs: Courtesy of OMEGA:

Summary and future directions Achievements Low cost mobile sensor unit for real time NO, NO 2 and CO, including GPS, GPRS Multiple sensor network (currently 20 units) Data capture Future (within MESSAGE) Extend to > 60 units Extend to CO 2, VOCs, SO 2 Future (beyond MESSAGE) Additional species, aerosols NERC/LHR?

Robin’s last slide?