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Clean air for London: ClearfLo

The ClearfLo project aims to establish an infrastructure to measure meteorology, gaseous composition, and particulate matter in London. The project will determine the processes that control the urban atmosphere, chemical processes that affect air quality, and evaluate air quality models. The data collected will provide a greater understanding of key health drivers.

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Clean air for London: ClearfLo

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  1. Clean air for London: ClearfLo David Green, King’s College London

  2. Contents • Project overview • Consortium, aims and methodology • Infrastructure and instrumentation • Monitoring sites, instrumentation, IOPs • Science programme • Analysis aims

  3. ClearfLo Consortium • NERC Environment and Health Programme • 2010 - 2013 • Coordinated by National Centre for Atmospheric Science (NCAS) • University of Reading • University of York • University of Leeds • University of Salford • CEH Edinburgh • University of East Anglia • University of Leicester • University of Manchester • King’s College London • University of Birmingham • University of Hertfordshire

  4. ClearfLo Aims • Establish an infrastructure to measure meteorology, gaseous composition and particulate • Develop a climatology of London’s urban atmosphere • Determine the meteorological processes that control the heat content, mixing properties and depth of London’s urban boundary layer • Determine the chemical processes that control the loading of O3 and NO2in London • Determine the chemical and physical processes that control the size and number distribution of particulate matter • Evaluate the strengths and weaknesses of a current air quality model • Leading to a greater understanding of and ability to predict key health drivers - PM, NOX, O3, temperature

  5. ClearfLo Methodology

  6. Infrastructure programme

  7. London Sites

  8. Improving infrastructure • Creating more room in existing monitoring stations • North Kensington • Marylebone Road

  9. Improving measurement capabilities • Adding pollution measurements to established weather stations • Adding pollution and / or meteorological sensors at: • 1. Rural sites • 2. High level • 3. Established sites

  10. Particulate Matter • Wider PM size range • 10 nm – 10+ µm • Urban and kerbside increments • Different heights • East to west transect • Q-AMS at Marylebone Road (approx 12 months) • Additional PM samplers at all sites • Provide samples for toxicity and further chemical analysis D. Beddows et al. 2010 An Enhanced Procedure For The Merging Of Atmospheric Particle Size Distribution Data Measured Using Electrical Mobility And Time-of-flight Analysers (In review)

  11. Gaseous • BT Tower • High sensitivity (10-15 pptv), fast response (1 Hz) NO and NO2 • High sensitivity (3 ppbv), fast response (1 Hz) CO • Give both fluxes and concentrations • O3, CO2 and H20 also measured • High sensitivity CO (10 ppbv) at North Kensington

  12. Meteorological measurements • Ceilometers at NK, MR, KCL and Detling • Boundary layer height, cloud height and aerosol backscatter profiles • Eddy correlation (EC) masts at NK, BT, KCL and Chilbolton • Turbulence, radiation, energy balance fluxes and standard meteorological variables • Large Aperture Scintilometry (LAS) at NK and KCL • Turbulent heat fluxes

  13. Intensive Observation Periods • Summer and winter (5 weeks each) in 2011/2012 • Background site in London (location TBC) • Coincide with EMEP Intensives? • Vertical structure of urban boundary layer • Doppler lidar, MAX-DOAS • Diurnal evolution of boundary layer over urban surface • Comparing Doppler lidars at Chilbolton and Lodnon • Measure biogenic species • Dual channel gas chromatograph • Measure radical species • Laser Induced Fluorescence • Physical and compositional properties of PM • TOF-AMS, ATOFMS, HTDMA, PASS-3

  14. Science programme • Seasonal variations in boundary layer, gaseous concs, PM concs and increments, modelled met and modelled concs • Urban boundary layer processes • Night-time processes, sea breezes • Composition processes • Oxidative budget, long range transport, night time processes, satellite vs. street obs, changes in emissions • Particles and Health Processes • Spatial variation, sub-micron aerosol chemical composition • Air Quality modelling & Integration • Synthesis of long term modelled and measured data

  15. ClearfLo Consortium • NERC Environment and Health Programme • 2010 - 2013 • Coordinated by National Centre for Atmospheric Science (NCAS) • University of Reading • University of York • University of Leeds • University of Salford • CEH Edinburgh • University of East Anglia • University of Leicester • University of Manchester • King’s College London • University of Birmingham • University of Hertfordshire

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