Effect of aging on cloud nucleating properties of atmospheric aerosols

Similar documents
Analysis of Data from the 2009 SOOT Experiment

Jianfei Peng et al. Correspondence to: Jianfei Peng Min Hu and Renyi Zhang

Helsinki, Finland. 1 Aerodyne Research Inc., Billerica, MA, USA. 2 Chemistry Department, Boston College, Chestnut Hill, MA, USA

Aerosols AP sizes AP types Sources Sinks Amount and lifetime Aerosol radiative effects. Aerosols. Trude Storelvmo Aerosols 1 / 21

Diesel soot aging in urban plumes within hours under cold dark and humid conditions

Cloud Condensation Nuclei Hygroscopic Parameter Kappa

Processing of Soot by Controlled Sulphuric Acid and Water Condensation - Mass and Mobility Relationship

J. Schneider & Chr. Voigt - Physics and Chemistry of Aerosols and Ice Clouds

Supplementary Figures

7. Timescale for hygroscopic conversion of calcite mineral particles through heterogeneous reaction with nitric acid

Validation of a new flow-reactor for the study of secondary organic aerosol (SOA) formation

Differential Mobility Particle Sizer (Aerosol measurements)

Effect of Fuel to Oxygen Ratio on Physical and Chemical Properties of Soot Particles

Highly Biased Hygroscopicity Derived from Size-Resolved Cloud Condensation Nuclei Activation Ratios without Data Inversion

CHAPTER 8. AEROSOLS 8.1 SOURCES AND SINKS OF AEROSOLS

Monoterpene and Sesquiterpene Emissions from Ponderosa Pine: Implications for Secondary Organic Aerosol Formation

COPLEY S C I E N T I F I C. A multi-function aerosol system with aerosol generation, classification and monitoring capabilities for:

Rapid Measurements of Aerosol Size Distributions Using a Fast Integrated Mobility Spectrometer (FIMS)

Prof. V. Faye McNeill Department of Chemical Engineering. Columbia University Summer. Teachers August 19, 2009

Chapter 5 Conclusions and Future Studies

Particle counting efficiencies of new TSI condensation particle counters

Formation of highly hygroscopic soot aerosols by atmospheric processing with sulfuric acid vapor

The Sensitivity of Global Nucleation, CCN and Climate to SO2 and Criegee-Intermediate Chemistry

Aerodyne Chinese AMS/ACSM Clinic, Nanjing, April Why are we here? Data Analysis Clinics Boulder, PSI. Barcelona, Boulder

Measuring Particle Mass and Other Properties with the Couette Centrifugal Particle Mass Analyzer

Aerosol Composition and Radiative Properties

Implications of Sulfate Aerosols on Clouds, Precipitation and Hydrological Cycle

Mobility-Based Particle Size Classification and Detection down to 2nm Theory to Practice

CCN activation experiments with adipic acid: effect of particle phase and adipic acid coatings on soluble and insoluble particles

pinene (at 2 and 50 Torr) and β-pinene (at 200 Torr) with OH have been determined in varied conditions.

Chapter 3 New Particle Formation from Photooxidation of Diiodomethane (CH 2 I 2 )*

Gas Particle Partitioning to OA

Putting Secondary Organic Aerosol in Global Models. Issues and Approaches

Arctic Chemistry And Climate

Instrumentational operation and analytical methodology for the reconciliation of aerosol water uptake under sub- and supersaturated conditions

Effect of relative humidity on the mechanism of new particle formation from monoterpene oxidation

Chapter Eight: Conclusions and Future Work

ELECTROSTATIC CLASSIFIER MODEL 3082

Aerosol Basics: Definitions, size distributions, structure

New Instruments from GRIMM

Influence of temperature on the production and size distribution of fine particles released from beech wood samples

Brian Sargent, Assistant Director, Designee 3/21/18. See Thread for Approval

4 th AMS Users Meeting Brainstorming on (1) Experiments to Nail our Absolute Quantification (2) Best Operating Procedures

Remarkable variability in morphology, hygroscopicity and optical properties of soot aerosols during internal mixing in the atmosphere.

Aerosol Dynamics. Antti Lauri NetFAM Summer School Zelenogorsk, 9 July 2008

Slides partly by Antti Lauri and Hannele Korhonen. Liquid or solid particles suspended in a carrier gas Described by their

This dissertation is available at Iowa Research Online:

Chamber Studies of Diesel Aerosol

Insights Into Atmospheric Organic Aerosols Using An Aerosol Mass Spectrometer

1 Executive summary. 2 Research activities and results

Aerosol modeling with WRF/Chem

The Atmospheric Chemistry and Physics of Ammonia

Supplementary information

Chemistry Instrumental Analysis Lecture 34. Chem 4631

Can a change of single scattering albedo in Amami-Oshima in a low pressure condition be explained by GCM simulations?

Atmospheric New Particle Formation and Climate Sensitivity: the CLOUD experiment.

EFFECT OF NOX IN THE PHOTOCHEMICAL SYSTEM OF Α-PINENE

Introduction and Initial Field Data of a Novel, Portable Nanoparticle Sizing Instrument

The new 11-R (one part of the Mini WRAS) and GRIMM MINI-WRAS Andreas Jaksch. Symposium Stockholm Mai

ATOC 3500/CHEM 3152 Week 9, March 8, 2016

Characterization of dimers of soot and non-soot

Supplementary Information for Fatty acid Surfactant. Photochemistry Results in New Particle Formation

Supplementary Material for. Reactive Uptake of Ammonia by Secondary Organic Aerosols: Implications for Air Quality

Interactive comment on Reactive uptake of ammonia to secondary organic aerosols: kinetics of organonitrogen formation by Y. Liu et al.

An Investigation on Secondary Organic Aerosol Induced Restructuring in Soot Aggregates. Kaiser K Leung

Chasing Aerosol Particles Down to Nano Sizes

CHAPTER 1. MEASURES OF ATMOSPHERIC COMPOSITION

Effect of solubility limitation on hygroscopic growth and cloud drop activation of SOA particles produced from traffic exhausts

A New Volatility Tandem Differential Mobility Analyzer to Measure the Volatile Sulfuric Acid Aerosol Fraction

Analysis of Flame-Formed Organic. Photoionization Measurements

Characterisation of the Aerosol Collection Module (ACM) Dagmar Trimborn, John Jayne, Thorsten Hohaus

AEROCOM-Workshop,Paris, June 2-3, model. Øyvind Seland; Alf Kirkevåg

Modeling of cloud microphysics: from simple concepts to sophisticated parameterizations. Part I: warm-rain microphysics

Physio-chemical and Optical Characterization of Anthropogenic and Natural Aerosol: Implications for Assessing Global Effects

NANOSCAN SMPS SPECTROMETER COMPARED TO THE TSI SMPS SPECTROMETER

Texas A&M University PROJECT TITLE: Experimental study of the production of PM2.5 in Southeast Texas clouds

Exam 2: Cloud Physics April 16, 2008 Physical Meteorology Questions 1-10 are worth 5 points each. Questions are worth 10 points each.

Aerosols and climate. Rob Wood, Atmospheric Sciences

Interactive comment on Volatility and hygroscopicity of aging secondary organic aerosol in a smog chamber by T. Tritscher et al.

Investigation of Optical Properties of Size-Selected Black Carbon Under Controlled Laboratory Conditions. Thesis

Effects of Galactic Cosmic Rays on the Atmosphere and Climate. Jón Egill Kristjánsson, Univ. Oslo

Satellite analysis of aerosol indirect effect on stratocumulus clouds over South-East Atlantic

Response: Changes in the manuscript: Response

Intercomparison of Mobility Particle Size Spectrometers

Kinetics of Deliquescence of Ammonium Sulfate Particles

Morphology of mixed primary and secondary organic particles and the adsorption of spectator organic gases during aerosol formation

Feasibility study on the extension of the Real Driving Emissions (RDE) procedure to Particle Number (PN)

Measurement of Non-Volatile Particle Number Size Distribution

Ice Nucleating Particle (INP) Measurements at YMC: ETH - PINC and HINC

Particuology 9 (2011) Contents lists available at SciVerse ScienceDirect. Particuology. j o ur nal homep ag e:

Mass Spectrometry. What is Mass Spectrometry?

Calibration checks of particle counter using primary and other techniques at the laboratory level

Performance Characterization of A New Cam System M.J. Koskelo 1, J.C. Rodgers 2, D.C. Nelson 2, A.R. McFarland 3 and C.A. Ortiz 3

Surface Ozone Problem in Two Polluted Regions in China and VOGA-NCP 2013 Summer Campaign

Atmospheric Chemistry and Physics

SOP SMPS BaltimorePM supersite Version /29/01 Page 1 of 13 SMPS

Oxidation Chemistry and Evolving Volatility of Organic Aerosol

Title. Author(s)Kuwata, M.; Kondo, Y.; Mochida, M.; Takegawa, N.; Ka. CitationJournal of Geophysical Research, 112: D Issue Date

Modeling of Mature Soot Dynamics and Optical Properties

Comprehensive Measurement of Atmospheric Aerosols with a Wide Range Aerosol Spectrometer

Transcription:

Effect of aging on cloud nucleating properties of atmospheric aerosols Yan Ma Nanjing University of Information Science & Technology The 1st Regional GEOS-Chem Asia Meeting 2015 年 5 月 8 日

Indirect effect on climate Direct effect on climate Cloud condensation nuclei (CCN) Visibility reduction Health effect Aerosols (PM)

Large uncertainty in the estimate of aerosol indirect effects Global Mean Radiative Forcings from 1750 to 2011 (i.e. Changes in radiation fluxes) (IPCC 2014)

Potential impacts from atmospheric aging of aerosols Atmospheric aerosols are often very complex mixtures of many species with a wide range of compositions. Aerosols can undergo a variety of aging processes in the atmosphere: Atmospheric aging - Condensation of gaseous species, e.g. H 2 SO 4, organics - Coagulation with existing aerosol particles - Oxidation by OH, O 3, etc. Aging processes may affect the mixing state, morphology, hygroscopicity, optical properties, and cloud-nucleating abilities

Lab simulation experiments

Experimental Smog chamber Yao et al., AE, 2014

simulate the atmospheric processing of primary aerosol (soot) by oxidation products generated from α-pinene ozonolysis at nearatmospheric conditions (~20 ppb O 3 and 7-37 ppb α-pinene) + O 3 Low-volatility products SOA

Experimental Chamber Experiments of Aerosol Aging Particle Size and Mass Measurements Measurements of Cloud- Nucleating Ability Measurements of Aerosol Optical Properties Chemical Composition Analysis of Organic Material in the Soot Coating

Operation modes: single DMA - CPC (SMPS) DMA - APM - CPC TDMA-APM system DMA - humidifier/heater - DMA - CPC (H/VTDMA) Drier Sheath flow in (6.5 LPM N 2 ) Po 210 CPC make-up flow (0.5 LPM) Pump (1.5 LPM) Sheath flow in (6.5 LPM humid N 2 ) DMA1 CPC DMA2 APM RH Sheath flow out (6.5 LPM) Sheath flow out (6.5 LPM) RH Aerosol path: heater or humidifier DMA scan (size distribution) TDMA or DMA-APM scan

Differential Mobility Analyzer (DMA) Aerosol Particle Mass (APM) Analyzer Polydisperse aerosol sample High Voltage HV Sheath flow qe qe 2 mrw High voltage 2 mrω Polydisperse flow out Monodisperse aerosol DMA Particles of a certain electrical mobility can penetrate through the DMA for the fixed sheath to sample flow ratio and voltage nec Z p = 3πµ D APM Particles of a certain mass can penetrate through the APM for the fixed rotational speed and voltage Electrostatic force = Centrifugal force 2 mrω p 3 πdve 2 = ρ truerω = nee 6 APM

Particle Effective Density, Mass Fractal Dimension and Dynamic shape factor Effective density, ρ eff : calculated from the mass and mobility measurements m = 6m d π ρeff = 3 V B Mass Fractal dimension, D f : describing the compactness of the population of agglomerates constituting the aerosol (3.0 for spherical particles, 2.0 for a plane) Dfm m d B Dynamic shape factor, χ: a property solely determined by the particle morphology (1.0 for spherical particles) x = d d B ve C C ve B

Size-resolved CCN Measurements Aerosol CPC Total particles Drier Charger DMA Monodisperse aerosol CCNC Activated particles CCN Activation and Aerosol SD Activated particle fraction: CCN/CN ratio Critical diameter: the size at which particles at a given supersaturation reach a CCN/CN ratio of 0.5 Single hygroscopicity parameter A = ( 4MM wwσσ ww κκ = 4AA ) 3 27ddllll 2 ss, RRRRρρ ww

Chemical Composition of Coated Particles: Ion Drift-Chemical Ionization Mass Spectrometry (CIMS) High DC voltage (particle collection) Aerosol from unipolar charger Laminar flow element Collection wire Ion source Ion optics Quadrupoles Multiplier ~ Low AC voltage (particle evaporation) Sheath flow Ceramic rod To aerosol counter Purge flow Drift Tube Mechanical pump Diffusion pumps Typical size distribution: 30-100 nm Charging efficiency: ~10% Particle density: 1.0 g cm -3 Flow rate: 1.0 liters min -1 Collection time: 2.5 hours Wang et al., Nature Geo., 2010 Zheng et al., AE, 2015

Evolution of microphysical properties of soot 83 nm 103 nm 126 nm 240 nm D p /D 0 : mobility diameter growth factor m p /m o : mass growth factor (m p m o )/m p : organic mass fraction Volume equivalent coating thickness, r ve : a measure for the amount of coating material deposited on the particle fast and large size and mass growth; smaller particles, larger growth factor particle organic mass fraction increased significantly, reaching ~80-90% within 30 min initial concentrations of α-pinene ~37 ppb, ozone ~ 20 ppb

coated and subsequently heated e, Particle effective density (ρ eff ) as a function of volume equivalent coating thickness ( r ve ). Red open triangles denote effective density for coated and subsequently heated soot aggregates with a fresh diameter of 100 nm. f, Particle mass fractal dimension (D fm ) as a function of volume equivalent coating thickness ( r ve ). g, Particle dynamic shape factor (χ) as a function of volume equivalent coating thickness ( r ve ) marked changes in particle morphology: transformed to more compact and dense spherical particles restructuring of the soot core to a more compact form during the initial stages of coating

CCN activity of soot upon coating Concentration (cm -3 ) d (nm) 80 60 40 20 0 140 120 100 80 a b CN CCN at 0.22% SS CCN at 0.18% SS 0 10 20 30 40 50 60 Reaction time (min) a. Time evolution soot particles with the soot particles with an initial mobility diameter of 103 nm, exposed to 37 ppb α-pinene and 20 ppb ozone. b, Time evolution of particle volume equivalent diameter. 60 40 20 0 r ve (nm) At 0.22% and 0.18% supersaturation, particles begin to activate in ~10 and 15 min, respectively, and full CCN activation was achieved at ~30 and 60 min, respectively

Chemical composition of the organic material in coated soot Mass-charge ratios (m/z) of 202, 204, 216, 218, and 232 correspond to the ionmolecule reaction products of pinalic acid, norpinic acid, pinonic acid, pinic acid and hydroxy-pinonic acid, respectively. O OH O HO O O OH O OH O O OH OH O O OH OH O Pinic acid, norpinic acid, and hydroxy-pinonic acid were identified as the most abundant organic acids in the soot coating, consistent with their low volatility.

Timescale for CCN activation 0.3% SS 0.4% SS Correlation plot of coated soot CCN critical time with initial reaction concentrations By extrapolating to ambient conditions of 1 ppb α-pinene, and 30 ppb O 3, the CCN critical time ~2.4 hr at 0.4 % supersaturation, ~5.0 hr at 0.3 % supersaturation, in contrast to assumed aging time of more than 1 day for the evolution of hydrophobic black carbon into hydrophilic CCN in global models.

Summary of critical supersaturations for coated soot particles CCN activation dependent on both the coating and initial core size of primary particles during the initial stages of aging. For sufficiently coated primary particles, the CCN activity is largely determined by coating formed during their atmospheric aging, regardless of the composition or size of the original primary particles. Ma et al., GRL, 2013

Field experiments

Air monitoring supersite

Online measurements of atmospheric aerosols and precursor gases Gas inlet Aerosol inlet Aerosol inlet PM 2.5 cyclone Roof SO 2 analyzer Drier DMA APM CPC NO x analyzer Drier Kr85 APS O 3 analyzer DMA CPC HToF-CIMS PILS PASS-3 CCNC

Field measurements A: Nanjing Bureau of Meteorology, Nanjing Summer of 2013 & 2014 Ma et al., JGR, 2017

Aerosol mixing state Aerosols at the observation site were mostly internally mixed Externally mixed BC was only occasionally observed with an effective density of 0.5 0.9 g cm -3

Size-resolved effective density Aerosol density averaged 1.30-1.63 g cm -3 for 50-230 nm particles, increasing with particle size.

Mass and number fraction of BC BC accounted for only minor fraction of the particle mass but was present in a significant fraction of particle number concentration

Cloud-nucleating properties D p50 (nm) N CCN /N CN Num.Conc.(10-3 cm -3 ) 30 25 20 15 10 5 0 1.0 0.8 0.6 0.4 0.2 0.0 250 200 150 100 50 0 CN S = 0.11% S = 0.20% S = 0.29% S = 0.38% S = 0.56% 0.8 κ 0.6 0.4 0.2 0.0 08/01 08/06 08/11 08/16 08/21 08/26 08/31 Date Average κ ~ 0.35 ± 0.13, higher than proposed continental average of 0.3

Effect of atmospheric aging Both newly formed particles and freshly emitted BC particles aged rapidly from photochemical processes, with a significant enhancement in the particle CCN activity and an increase in the effective density.

CCN activation for different periods representing different air mases Aerosols influenced by four different air masses presented similar CCN activation, indicating that CCN activation would be primarily dependent on the particle size rather than the particle origin (and hence original composition).

CCN closure studies assuming external or internal mixture CCN closure study assuming internal mixture (IB) generates better results at lower supersaturations; while that assuming external mixture (EB) gives better closure at higher supersaturations. Increasing time resolution of chemical composition data slightly improves closure results.

Improved method assuming internal mixture with E (sizeresolved fraction of CCN-active particles) S(%) EB IB IBE 0.134 0.227 0.321 0.414 0.601 Average Including size-resolved E (derived from size-resolved CCN measurement) can correct the overestimation by assuming entirely internal mixture, and the underestimation by assuming external mixture. 0.95 (0.77) 0.85 (0.84) 0.87 (0.81) 0.89 (0.79) 0.90 (0.81) 0.89 (0.87) 1.03 (0.78) 1.01 (0.84) 1.09 (0.82) 1.13 (0.83) 1.19 (0.85) 1.13 (0.89) 1.06 (0.77) 1.00 (0.83) 1.05 (0.80) 1.07 (0.81) 1.08 (0.82) 1.06 (0.87)

Conclusions Fast transformation of primary aerosols occurs during atmospheric aging. Ambient aerosols observed in the campaign are predominantly internally mixed. For sufficiently aged particles, the CCN activity is largely determined by coating formed during their atmospheric aging, regardless of the origin or composition of the original particles. Mixing state plays a role in prediction of CCN number concentrations. The method including E (size-resolved fraction of CCN active particles) can improve closure results.

Thanks for your attention!