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

Slides:



Advertisements
Similar presentations
Dispersion modelling work at Kings College London David Carslaw Environmental Research Group Kings College London.
Advertisements

Urban Test Beds: Productivity, Problems, and Progress Measurement Networks, Logistics, and Models William J. Shaw 12 th GMU Conference on Transport and.
Pollution levels plummet in clean air fight (but…) Ian Longley School of Earth, Atmospheric & Environmental Sciences University of Manchester.
Ian Longley Street canyon aerosol pollutant transport measurements in Manchester I.D. Longley, M.W. Gallagher, J.R. Dorsey, M. Flynn, K. Bower, I. Barlow.
Steffen M. Noe, Ahto Kangur, Urmas Hõrrak, Marko Kaasik SMEAR Estonia - Current state and further development.
Recent Studies of Urban Air Pollution over the Greater Beijing Area Meigen ZHANG (State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric.
CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
10-Years Air Pollution Research In London. Sources of particles from a vehicle Emissions dependent upon vehicle speed (resuspension, tyre and road.
Current and future work: the ACTUAL and ClearfLo projects.
Carole Helfter 1, Anja Tremper 2, Giulia Zazzeri 3, Simone Kotthaus 4, Janet Barlow 4, Sue Grimmond 4 and Eiko Nemitz 1. Sources of greenhouse gases and.
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
Discussion Space Research Centre. Urbanization and Industrialization: in 2008, more than half of humans live in cities UN Population Report 2007.
Accountability in climate change initiatives – kerbside CO 2 monitoring Ben Barratt, King’s College London APRIL Greenhouse Gas Group December 2009.
THE PUMA PROJECT AND SUBSEQUENT AIR QUALITY MODELLING AT THE UNIVERSITY OF BIRMINGHAM ROY M. HARRISON AND XIAOMING CAI SCHOOL OF GEOGRAPHY, EARTH AND ENVIRONMENTAL.
PARTICLE FLUXES MEASURED BY EDDY COVARIANCE ABOVE AND WITHIN A DOWNTOWN URBAN CANOPY I.D. Longley, M.W. Gallagher School of Earth, Atmospheric & Environmental.
REPARTEE: Pollutant Fluxes Eiko Nemitz, Gavin Phillips, Chiara Di Marco, Daniela Famulari, Carole Helfter, Rick Thomas, David Fowler: Centre for Ecology.
The impact of boundary layer dynamics on mixing of pollutants Janet F.Barlow 1, Tyrone Dunbar 1, Eiko Nemitz 2, Curtis Wood 1, Martin Gallagher 3, Fay.
Satellite-based Global Estimate of Ground-level Fine Particulate Matter Concentrations Aaron van Donkelaar1, Randall Martin1,2, Lok Lamsal1, Chulkyu Lee1.
TReSS (Transportable Remote Sensing Station) in Tamanrasset Overview of TReSS Status of implementation on April 1 st 2006 Operations in the framework of.
BT Tower research APRIL network meeting on BT Tower research 26 th January 2010
1 Surface O 3 over Beijing: Constraints from New Surface Observations Yuxuan Wang, Mike B. McElroy, J. William Munger School of Engineering and Applied.
THE REGENTS PARK AND TOWER ENVIRONMENTAL EXPERIMENT REPARTEE 2006 & 2007 Roy M. Harrison University of Birmingham.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Southeast Nexus (SENEX) Studying the Interactions Between Natural and Anthropogenic Emissions at the Nexus of Air Quality and Climate Change A NOAA Field.
Xuexi Tie Xu Tang,Fuhai Geng, and Chunsheng Zhao Shanghai Meteorological Bureau Atmospheric Chemistry Division/NCAR Peking University Understand.
Characterisation of mixing processes in the lower atmosphere using Rn-222 and climate-sensitive gases P. Schelander, A. Griffiths, A.G. Williams, S. Chambers.
Penn State Colloquium 1/18/07 Atmospheric Physics at UMBC physics.umbc.edu Offering M.S. and Ph.D.
Proposal for a Research Infrastructure for Advanced Aerosol Observations and Capacity Building in China Alfred WIEDENSOHLER Leibniz Institute for Tropospheric.
FROM AIR POLLUTION TO GLOBAL CHANGE AND BACK: Towards an integrated international policy for air pollution and climate change Daniel J. Jacob Harvard University.
Prediction of Future North American Air Quality Gabriele Pfister, Stacy Walters, Mary Barth, Jean-Francois Lamarque, John Wong Atmospheric Chemistry Division,
” Particulates „ Characterisation of Exhaust Particulate Emissions from Road Vehicles Key Action KA2:Sustainable Mobility and Intermodality Task 2.2:Infrastructures.
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.
Erik Crosman 1, Logan E. Mitchell 1, Alexander Jacques 1, John Horel 1, John C. Lin 1 1 Department of Atmospheric Sciences, University of Utah, Salt Lake.
© Crown copyright Met Office Experiences with a 100m version of the Unified Model over an Urban Area Humphrey Lean Reading, UK WWOSC.
D ispersion of A ir P ollutants & their P enetration into the L ocal E nvironment EPSRC Infrastructure & Environment Programme Dr Samantha Arnold (C.Geog.)
Results from the SMEAR III urban measurement station
Centre for Astroparticle Physics and Space Sciences – A National Facility at Bose Institute Sanjay K. Ghosh Bose Institute.
An Outline for future Pearl River Delta – Hong Kong Air Quality Monitoring Research Projects CS Kiang College of Environmental Sciences Peking University.
DAPPLE D ispersion of A ir P ollutants and their P enetration into the L ocal E nvironment EPSRC Infrastructure and Environment Programme The DAPPLE Consortium.
Boundary Layer Profiling using various techniques for air quality assessments Dave DuBois Ilias Kavouras and George Nikolich Division of Atmospheric Sciences.
AOSC 634 Air Sampling and Analysis Vertical Flux Eddy Correlation (Eddy Covariance) And Vertical Gradient Copyright Brock et al. 1984; Dickerson
© Crown copyright Met Office The Role of Research Aircraft in YOPP Chawn Harlow, YOPP Summit, WMO, Geneva 13 July 2015.
On the interplay between upper and ground levels dynamics and chemistry in determining the surface aerosol budget Gabriele Curci 1, L. Ferrero 2, P. Tuccella.
CARB Board Meeting San Diego, 23 July 2009 DAVID PARRISH Chemical Sciences Division Earth System Research.
OVERVIEW OF ATMOSPHERIC PROCESSES: Daniel J. Jacob Ozone and particulate matter (PM) with a global change perspective.
Introduction 1. Advantages and difficulties related to the use of optical data 2. Aerosol retrieval and comparison methodology 3. Results of the comparison.
The Regional Atmospheric Measurement Modeling and Prediction Program (RAMMPP) Russell Dickerson & Jeff Stehr CICS September 8, 2010 Image taken from URF.
Estimating PM 2.5 from MODIS and MISR AOD Aaron van Donkelaar and Randall Martin March 2009.
REGIONAL/GLOBAL INTERACTIONS IN ATMOSPHERIC CHEMISTRY Greenhouse gases Halocarbons Ozone Aerosols Acids Nutrients Toxics SOURCE CONTINENT REGIONAL ISSUES:
Integration of Multiple Remote Sensing and In Situ Observations to Assess Regional Air Quality Monitoring Forecasts Sponsors: National Aeronautics and.
Standard images are available on the intranet For more specific images please contact Matthew Hart For PowerPoint help please contact Elizabeth Leishman.
Chemical Data Assimilation: Aerosols - Data Sources, availability and needs Raymond Hoff Physics Department/JCET UMBC.
Spatial and temporal dynamics of atmospheric pollutants in London, UK. Carole Helfter, Eiko Nemitz, Chiara Di Marco, Ben Langford, Neil Mullinger, Ute.
Breakout Session 1 Air Quality Jack Fishman, Randy Kawa August 18.
ORIGIN OF BACKGROUND OZONE IN SURFACE AIR OVER THE UNITED STATES: CONTRIBUTION TO POLLUTION EPISODES Daniel J. Jacob and Arlene M. Fiore Atmospheric Chemistry.
Atmospheric Lifetime and the Range of PM2.5 Transport Background and Rationale Atmospheric Residence Time and Spatial Scales Residence Time Dependence.
Measurement and modelling of reactive trace gas fluxes from the Amazonian rainforest (CLAIRE-UK) Amy Valach Supervised by Prof. Nick Hewitt et al. Lancaster.
Forecasting Air quality in China Using CAMS Boundary Conditions: the PANDA Project Guy P. Brasseur and Idir Bouarar June 206.
City Climate The Heat Island Effect HO Pui-sing.
The science of urban air quality
Clean Air For London: ClearfLo
The Turbulent Structure of the Urban Boundary Layer
Diurnal Variation of Nitrogen Dioxide
Simulation of Ozone and PM in Southern Taiwan
Alison Redington* and Derrick Ryall* Dick Derwent**
A Review of Time Integrated PM2.5 Monitoring Data in the United States
Correcting TEOM Measurements using the KCL Volatile Correction Model
Mixing layer transport flux of particulate matter in Beijing, China
Meteorological Measurements for Improved Air Quality Modeling
Presentation transcript:

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

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

ClearfLo Consortium NERC Environment and Health Programme 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 3

ClearfLo Aims 1.Establish an infrastructure to measure meteorology, gaseous composition and particulate 2.Develop a climatology of London’s urban atmosphere 3.Determine the meteorological processes that control the heat content, mixing properties and depth of London’s urban boundary layer 4.Determine the chemical processes that control the loading of O 3 and NO 2 in London 5.Determine the chemical and physical processes that control the size and number distribution of particulate matter 6.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, NO X, O 3, temperature 4

ClearfLo Methodology 5

Infrastructure programme 6

London Sites 7

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

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 9

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 10 D. Beddows et al An Enhanced Procedure For The Merging Of Atmospheric Particle Size Distribution Data Measured Using Electrical Mobility And Time-of-flight Analysers (In review)

Gaseous BT Tower High sensitivity (10-15 pptv), fast response (1 Hz) NO and NO 2 High sensitivity (3 ppbv), fast response (1 Hz) CO Give both fluxes and concentrations O 3, CO 2 and H 2 0 also measured High sensitivity CO (10 ppbv) at North Kensington 11

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 12

Marylebone Road North KensingtonBT Tower King's StrandHarwellChilboltonDetling Met SonicECSonicECMet stationECMet station LASECLASRadar Ceilometer Met stationCeilometerLidarCeilometer Gaseous CO Fast NO X MAX-DOASCO NO 2 Total NOyNO 2 O3O3 O3O3 Fast COO3O3 O3O3 O3O3 SO 2 O 3 + fast O 3 SO 2 CO (high sensitivity) Particulate Matter PM 10 FDMS dichot FDMS PM 10 FDMS PM 2.5 FDMS PM comp SMPS PM 10 samp PM 2.5 samp APS Q-AMS 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 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 16