Comparison of gravimetric PM data from the Harvard Impactors and Gent Stacked Unit PM 10 Samplers in Prague 2004 M. CIVIŠ 1, J. HOVORKA 1 and J. SCHWARZ.

Slides:



Advertisements
Similar presentations
Modification and Validation of Diesel Particulate Matter Cassette for PM-1.0 Sampling at Different Flow Rates Saulius Trakumas and Peter Hall SKC Inc.,
Advertisements

SPOTLIGHT ON THE LELAND LEGACY ® PUMP FROM THE LELAND LEGACY PUMP Provides answers to particulate sampling problems. High flow rates + 24-hr run times.
Kewen Xu Guixiang Zhao ( National Climate Observation Station of Taiyuan , No568,pingyang Road, Taiyuan , Shanxi,P.R.China ) Quality Control and.
STN Carbon Field Blank Analysis, Derived Organic Carbon Analysis and IMPROVE blank corrected artifact analysis Bret Schichtel.
MASS EMISSION RATES AND CHEMICAL CHARACTERIZATION OF PM 2.5 EMISSIONS FROM TWO MOTORCYCLES Deniz Karman and Colin Welburn Department of Civil and Environmental.
DIURNAL PATTERN OF SUBMICRON AEROSOL SIZE/MASS DISTRIBUTIONS IN URBAN ATMOSPHERE, PRAGUE WINTER 2004/2005 J. HOVORKA 1, M.BRANIŠ 1, J. SCHWARZ 2
Chemical Composition of Organic Carbon Fractions Barbara Zielinska.
Recent Studies of Urban Air Pollution over the Greater Beijing Area Meigen ZHANG (State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric.
PM in the Czech Republic Jiří Smolík and Jaroslav Schwarz AEROSOL LABORATORY Institute of Chemical Process Fundamentals Academy of Sciences of the Czech.
Fossil and modern sources of aerosol carbon in the Netherlands – A year-long radiocarbon study Fossil and modern sources of aerosol carbon in the Netherlands.
Particle pollution is linked to adverse health effects ~350,000 premature deaths a year within the EU are related to exposure to particulate matter (PM)
CLIMATOLOGICAL ANALYSIS OF OZONE AND METEOROLOGICAL PARAMETERS A BACKGROUND SITE: CERRO TOLOLO 30ºS,70ºW, 2200 m.a.s.l. Ana Maria Cordova CMM.
1 Yu Tong BEIJING MUNICIPAL ENVIRONMENTAL MONITORING CENTER BAQ2002 HONGKONG Dec of 2002 AIR QUALITY MONITORING IN BEIJING.
ULTRAFINE PM IN NEAR GROUND LAYER OF URBAN ATMOSPHERE, PRAGUE 2002/2003 JAN HOVORKA, LUBOMÍR BETUŠ ; Institute.
J. Zhou 1, X. Zhu 1, T. Wang 1, and X. Zhang 2 J. Zhou 1, X. Zhu 1, T. Wang 1, and X. Zhang 2 1 College of Resources and Information Tech., China University.
Russian Soot Measurement Methodologies Alexander Romanov Scientific Research Institute for atmospheric air protection St.Petersburg, Russian Federation.
Classification of NYC Aerosols by X-Ray and Optical Methods By: John Sangobowale (Mount St. Michael Academy) and William Dennis ( John F. Kennedy H.S.)
Angeliki Karanasiou Source apportionment of particulate matter in urban aerosol Institute of Nuclear Technology and Radiation Protection, Environmental.
Size-segregated analysis of PM10 at a tandem urban – rural site combination J. K. Gietl 1*, T. Tritscher 1,2, and O. Klemm 1 1 University of Münster, Institute.
Measurement of total mass concentration. 1. Sampling probe - Isokinetic or sampling from still air 2. Flow rate - Rotameter or digital flowmeter 3. Filter.
Sampling and Measurement for Respirable Particulates.
DEPOSITION OF SUBMICRON AEROSOL ON SPRUCE NEEDLES; WIND TUNNEL MEASUREMENTS K. LAMPRECHTOV Á, J.HOVORKA
Measurement of free iron content in desert dust : effect on light absorption, size dependence and soil influence S. Lafon, J.-L. Rajot, S. C. Alfaro, A.
MODELS3 – IMPROVE – PM/FRM: Comparison of Time-Averaged Concentrations R. B. Husar S. R. Falke 1 and B. S. Schichtel 2 Center for Air Pollution Impact.
1 Saxony-Anhalt State Environmental Protection Agency Wolfgang Garche Bukarest EU-Twinning Project RO 2006 IB EN 09 Wolfgang Garche Saxony-Anhalt.
Results from the SMEAR III urban measurement station
1 β Attenuation Method PM10/2.5 Automated Dichotomous Monitor SPM-613D β Attenuation Method PM10/2.5 Automated Dichotomous Monitor Model SPM-613D ■SPM.
*Institute for Environmental Studies, Charles University in Prague, Benátská 2, Prague 2, Czech Republic ** Institute of Chemical Process Fundamentals,
Evaluating trends in irrigation water requirement per unit are in north region of China, : should stations being classified according to land.
SUBMICRON AEROSOL PARTICLES IN A SMALL SETTLEMENT NEAR HIGHWAY J. HOVORKA, Z. STAŇKOVÁ Institute for Environmental.
Online measurements of chemical composition and size distribution of submicron aerosol particles in east Baltic region Inga Rimšelytė Institute of Physics.
FINE AND COARSE AEROSOL PARTICLES IN A STUDENT CLUB BEFORE AND AFTER A SMOKING BAN J. HOVORKA, M. BRANIŠ, P. GADAS, T. VALCHÁŘOVÁ
Latvian Environmental, Geology and Meteorology agency Future development scenarios for traffic system and air pollution in Riga city Iveta Steinberga La.
Aerosol Emissions from Cotton Field Operations David R. Miller , Junming Wang, Ted Sammis, April Hiscox.
PMP PM in Europe In EEA*-32 countries 3.6 million years of life lost in 2005 due to PM emissions (more than 8 months per citizen) About 50% of.
SOURCE APPORTIONMENT OF PRAGUE AEROSOL FROM COMBINED PARTICLE NUMBER SIZE DISTRIBUTION AND GASEOUS COMPOSITION DATA BY BILINEAR POSITIVE MATRIX FACTORIZATION.
Royal Meteorological Institute of Belgium Validation of the method to retrieve the AOD and first preliminary results of the aerosol measurements campaign.
Model Evaluation Comparing Model Output to Ambient Data Christian Seigneur AER San Ramon, California.
Aerobiology Of Penicillium and Aspergillus Type Spores By * Abeer Khattab and Estelle Levetin.
Evaluation of 2002 Annual 12km MM5 Surface Parameters for OTC Modeling Shan He and Gary Kleiman NESCAUM And Winston Hao NYDEC Review of Application and.
C hemical characterisation of boundary layer aerosols during the LBA/CLAIRE/SMOCC-2002 campaign W. Maenhaut 1, J. Cafmeyer 1, X. Chi 1, S. Dunphy 1, N.
Study of ambient air particulates pollutants near Taichung airport sampling site in central Taiwan Journal of Hazardous Materials 144 (2007) 492–498 Student.
Chemical Apportionment of Size-Segregated Atmospheric Particles during the Burning and Wet Seasons in the Brazilian Amazon O. L. Mayol-Bracero (1,2); M.
August 1999PM Data Analysis Workbook: Characterizing PM1 Characterizing Ambient PM Concentrations and Processes What are the temporal, spatial, chemical,
CNR – ISAC Bologna – Italy ATMOSPHERIC MEASUREMENTS NCO-P PCO-K The first annual PAPRIKA meeting Bergamo, December 2010.
UPR Preliminary Results from Analysis of Filter and Impactor Samples Collected at FNS during SMOCC Olga L. Mayol-Bracero, Susimar Gonzalez, Lydia Soto.
Experimental study of the “rain effect” on the mobility distribution of air ions. Experiments with water jet. U. Hõrrak, H. Tammet, E.Tamm, A. Mirme. Institute.
Bartłomiej Pietras Institute of Geography; Pedagogical University,ul. Podchorążych 2, Kraków; Introduction The problem of air.
Preliminary Analysis by: Fawn Hornsby 1, Charles Rogers 2, & Sarah Thornton 3 1,3 North Carolina State University 2 University of Texas at El Paso Client:
OBSERVATION ON ION DYNAMICS Urmas Hõrrak, Hannes Tammet Institute of Environmental Physics, University of Tartu, 18 Ülikooli St., Tartu, Estonia.
COMPARISON OF APS AND BETA AS CONTINUOUS MONITORS FOR MEASURING PM10 CONCENTRATIONS IN URBAN AIR Devraj Thimmaiah, Jan Hovorka Institute for Environmental.
Temporal Variations of 7Be and its AMAD over “Demokritos” GAW station
RUG sampling activities at Fazenda Nossa Senhora Willy Maenhaut Ghent University (RUG) Institute for Nuclear Sciences Department of Analytical Chemistry.
Willy Maenhaut1, Wan Wang1, Xuguang Chi1, Nico Raes1, Jan Cafmeyer1,
Filter Media-PVC.
SPOTLIGHT ON THE LELAND LEGACY® PUMP FROM
A.Liudchik, V.Pakatashkin, S.Umreika, S.Barodka
Session 4: Air Pollution Measurements
دکتر عبدالرحمان بهرامی– عضو هیأت علمی دانشکده بهداشت همدان
Correlation Between Wind Direction and Observed BrO concentrations
The role of weather conditions on PM2.5 concentrations in Beijing
Introduction to Tisch Instruments
John Munthe and Ingvar Wängberg
Correcting TEOM Measurements using the KCL Volatile Correction Model
Empa, Air Pollution/Environmental Technologies
Challenges with Integrated Measurements of OC and BC (or EC)
Institute for Nature Management, Minsk, Belarus
EMEP-Intensive-Measuring-Campaigns Summer 06 and Winter 07
Iakovos Barmpadimos, André Prévôt, Johannes Keller, Christoph Hüglin
1Biomedical Omics Group, Korea Basic Science Institute, Cheongju and
Presentation transcript:

Comparison of gravimetric PM data from the Harvard Impactors and Gent Stacked Unit PM 10 Samplers in Prague 2004 M. CIVIŠ 1, J. HOVORKA 1 and J. SCHWARZ 2 1 Institute for Environmental Studies, Charles University, Benátská 2, , Prague, Czech Republic 2 Institute of Chemical Process Fundamentals, Academy of Sciences of the Czech Republic, Rozvojová 2, , Prague, Czech Republic Motivation: Systematic sampling (every third day) and during four intensive seasonal campaigns (14 days per campaign) of aerosol fractions PM 10, PM 2.5, PM 1 using Harvard impactors (HI) and PM 10, PM 2.2 using Gent Stacked Unit PM 10 Samplers (SFU) on two locations in Prague within the year Evaluation of the both manual PMx sampling methods regarding to meteorology parameters. Comparison of HI method with SFU method on station 1 and comparison of SFU method on both stations. Station 2 (suburban) N 50º07.643´: E 014º23.064´ 285 m ASL Station 1 (urban) N 50º04.280´; E 014º25.253´ 225 m ASL Harvard Impactor – HI HI for PM 10 and PM 2.5 are single staged with flow rate 10 l/min while HI PM 1 has two stages and flow rate about 23 l/min. PM 10 was sampled on Quartz filters (37 mm, pore size μm). PM 2.5 and PM 1 fractions were caught on PTFE filters (37 mm, PE holding ring, pore size 2 μm) Gent Stacked Unit PM 10 - SFU At the inlet of SFU sampler are single staged, PM 10 impactor with flow rate 16 l/min. Then aerosol passes through filter cassette, consisting in-serial two PTFE Nuclepore® filters. Pore size of the first filter is 8 μm. Pore size of the second filter is 0.4 μm. Coarse of particles from μm is collected on the first filter, particles smaller than 2.2 μm are collected on the second filter The study was conducted within the project „Comprehensive size resolved characterization of atmospheric particulate matter in Prague“ supported by GACR grant No. 205/03/1560 Station 1Station 2 PM 10 PM 2,5 PM 1 SFU 10 SFU 2,2 SFU 10 SFU 2,2 St. 1 PM /0.22 PM /0.2280/0.22 PM /0.2280/0.22 SFU /0.2373/0.2368/0.2552/0.27 SFU /0.2757/ /0.27 St. 2 SFU /0.2280/ / /0.22 SFU /0.2280/ / /0.22 Observed time period Method and location Regression equation Correlation coefficient, number of pairs/critical values Spring campaign PM 10 St.1y=0.02x (14/0.48) Summer campaign PM 2.5 St. 1y=0.09x (15/0.48) PM 1 St. 1y=0.07x (15/0.48) SFU 10 St. 2y=0.09x (13/0.51) Autumn campaign PM 2.5 St. 1y=0.11x (15/0.48) PM 1 St. 1y=0.12x (15/0.48) SFU 10 St. 2y=0.08x (14/0.5) Year 2004SFU 2.2 St.1y=-0.04x (58/0.27) SFU 2.2 St. 2y=-0.02x (95/0.21) PM 10 St. 1y=-0.02x (89/0.22) Observed time period Method and location Regression equation Correlation coefficient, number of pairs/ critical values Winter campaign PM 2.5 St. 1y=-0.21x (12/0.53) Spring campaign PM 2.5 St. 1y=-0.09x (15/0.48) SFU 2.2 St. 2y=-0.53x (15/048) Year 2004SFU 10 St. 1y=-0.13x (74/0.23) SFU 10 St. 2y=-0.11x (94/0.21) HI coarse St. 1y=-5.79x (89/0.22) SFU coarse St. 1y=-2.17x (76/0.23) Pearsont Correlation of the methods Relations between PM and average day temperature Relations between PM and average day wind speed Conclusion: Sampling with HI method measured (  =0.05) higher concentrations of PM 10 and PM 2.5 than SFU PM 10 and PM 2.2 on both stations. Results show that air masses are better mixed in Prague for PM 2.5 which does not apply for PM 10. SFU 2.2 on both stations correlated well with average day temperature during the whole year SFU 10 on both stations correlated with average day wind speed during the whole year Correlation of aerosol fractions with relative humidity was not found. Negative correlations between coarse fractions and average wind speed measured by both methods on station 1 was observed. Highest concentrations of HI coarse occurred with wind blowing 2-3 m/s. Highest SFU coarse concentrations occurred with wind speed 1-2 m/s. N