Physical and chemical properties of freshly emitted and ... · 1 Rosaria Erika Pileci1, Michele...

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1 Rosaria Erika Pileci 1 , Michele Bertò 1 , Robin Modini 1 , Stefania Gilardoni 2 , Matteo Rinaldi 2 , Douglas Orsini 2 , Angela Marinoni 2 , Martin Gysel 1 1 Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen, Switzerland 2 Institute of Atmospheric Science and Climate, Italian National Research Council (CNR-ISAC) via Gobetti 101, 40129 Bologna, Italy PM2018 – Matera 24/05/2018 Physical and chemical properties of freshly emitted and aged particles determined from mobile measurements in the Po Valley

Transcript of Physical and chemical properties of freshly emitted and ... · 1 Rosaria Erika Pileci1, Michele...

Page 1: Physical and chemical properties of freshly emitted and ... · 1 Rosaria Erika Pileci1, Michele Bertò1, Robin Modini1, Stefania Gilardoni2, Matteo Rinaldi 2, Douglas Orsini , Angela

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Rosaria Erika Pileci1, Michele Bertò1, Robin Modini1, Stefania Gilardoni2,

Matteo Rinaldi2, Douglas Orsini2, Angela Marinoni2, Martin Gysel1

1 Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen, Switzerland

2Institute of Atmospheric Science and Climate, Italian National Research Council (CNR-ISAC) via Gobetti 101, 40129 Bologna, Italy

PM2018 – Matera – 24/05/2018

Physical and chemical properties of freshly emitted and aged particles determined from mobile measurements in the Po Valley

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Introduction:

Mass Absorption Coefficient (MAC) of Black Carbon

MAC is a key parameter when estimating black carbon radiative forcing. Uncertainties in MAC

Uncertainties in radiative forcing Uncertainties in climate predictions

𝐌𝐀𝐂𝐁𝐂 [𝐦𝟐𝐠−𝟏] = 𝛃𝐚𝐛𝐬,𝐁𝐂 [𝐌𝐦−𝟏]

𝐦𝐁𝐂 [𝛍𝐠

𝐦𝟑]

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Introduction:

MAC, experimental uncertainty and variability

(Zanatta et al., Atmos. Env., 2016)

MAC at European

background sites:

~10.0 𝐦𝟐𝐠−𝟏 (@ 637 nm)

𝐌𝐀𝐂 for freshly BC:

𝟕. 𝟓 ± 𝟏. 𝟐 𝐦𝟐𝐠−𝟏 (@ 550 nm)

6.5 𝐦𝟐𝐠−𝟏 (@ 637 nm, AAE = 1) (Bond & Bergstrom, Aerosol Science

and Technology, , 2006)

Part of MAC variability is due to

measurements uncertanties!

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MAC of internally mixed “coated

BC” increases by up to a factor

of ~2 compared to bare BC core.

Introduction:

MAC, link to BC physical quantities

• Mixing state

• Core sizes

• Morphology

• Refractive index

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Aim of the work

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• Studying the difference in properties between

freshly emitted and aged particles

• Explain the MAC variability with variations in BC physical properties:

- BC mass size distribution; - Mixing state

aging

• Atmospheric aging processes lead to internally mixed BC

• With mobile and stationary measurements in different locations!

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Mobile measurements with MOSQUITA (to investigate spatial variability)

Licor (CO2) ; O3

CAPS PMssa (780 nm) (Extinction and

scattering) --------------------------

MAAP (637 nm) --------------------------

PAX (870 nm) (Absorption and

scattering) -------------------------- AETHALOMETER 7𝛌

HR ToF

AMS

SP2 (rBC mass and

mass size distribution,

coating thickness)

CPC

UHSAS (Size

distribution)

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Drives repeated

San Pietro Capofiume Rural background

Remote background Monte Cimone

Urban background

Highway

Freshly emitted particles

Rural background road

Aged particles

July 2017

12 trips

4.000 km

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Results: Black carbon optical properties (Drives between Bologna and Milano)

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fresh traffic BC

aged BC Evidence that atmospheric

aging increases the MAC of BC.

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Results: The Challenge of mobile absorption measurements

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MAAP signals very noisy when doing mobile measurements.

Does it introduce a systematic bias? Can we recover the data?

Mobile Stationary

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Results: CAPS – a good promise

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Extremely good correlation between CAPS PMssa absorption and rBC mass from

the SP2 at a time resolution of 5 secs

But how accurate are the absolute values?

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Results: PAX, a challenge lost

50

40

30

20

10

0

-10

-20

Ab

sorp

tion

co

eff

icie

nt

(1/M

m)

13:3013.07.2017

14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00

Date & Time

Bologna - Monte Cimone Absorption coefficient time serie - PAX drift problem

Unsuccessful measurements both mobile and stationary!

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Results: MAC spatio variability

𝑯𝒊𝒈𝒉𝒘𝒂𝒚 𝑩𝒐𝒍𝒐𝒈𝒏𝒂 𝑪𝒊𝒕𝒚 𝑺𝒂𝒏 𝑷𝒊𝒆𝒕𝒓𝒐

𝑪𝒂𝒑𝒐𝒇𝒊𝒖𝒎𝒆

(14.4 ± 0.5 − 14.6 ± 0.6)

(9.8 ± 0.1 − 16.2 ± 1.1)

(18.4 ± 0.4 − 26.5 ± 0.7)

(Bond & Bergstrom, Aerosol Science and Technology, 2006)

(Zanatta et al., Atmospheric Environment, 2016)

5.3 @ 780 nm, AAE = 1

8.2 @ 780 nm, AAE = 1

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Mixing state: delay time method

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BC mass

Op

tica

l dia

me

ter

Thinly-to-moderately

coated Thickly coated

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Results: MAC vs Fraction of thickly coated particles

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MAC [18.1 – 26.2] background sites 14% - 18 % thickly coated particles

MAC [9.8 – 16.2] traffic dominated sites 1% - 6% thickly coated particles

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Results:

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𝑩𝒐𝒍𝒐𝒈𝒏𝒂 𝑪𝒊𝒕𝒚

120 𝑛𝑚 < max (𝐷𝐵𝐶 ) < 155 𝑛𝑚

𝑺𝒂𝒏 𝑷𝒊𝒆𝒕𝒓𝒐 𝑪𝒂𝒑𝒐𝒇𝒊𝒖𝒎𝒆

max (𝐷𝐵𝐶) ≃ 150 𝑛𝑚

BC mass size distributions

𝑯𝒊𝒈𝒉𝒘𝒂𝒚 max (𝐷𝐵𝐶) ≃ 110 𝑛𝑚

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Conclusions

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Mobile absorption measurements are tricky. There are uncertainties and this

complicate the absolute value of MAC

Nevertheless there is clear evidence of MAC variation:

explained with difference in BC coating thickness

Future analysis

- Quantitave mixing state;

- Improve data analysis: determine best available absorption measurements!

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Acknowledgments