Seasonal variability of carbon in humic-like matter of ambient size-segregated water soluble organic aerosols from urban background environment

Seasonal variability of carbon in humic-like matter of ambient size-segregated water soluble organic aerosols from urban background environment

Accepted Manuscript Seasonal variability of carbon in humic-like matter of ambient size-segregated water soluble organic aerosols from urban backgroun...

1MB Sizes 0 Downloads 41 Views

Accepted Manuscript Seasonal variability of carbon in humic-like matter of ambient size-segregated water soluble organic aerosols from urban background environment Sanja Frka, Irena Grgić, Janja Turšič, Maria I. Gini, Konstantinos Eleftheriadis PII:

S1352-2310(17)30758-6

DOI:

10.1016/j.atmosenv.2017.11.013

Reference:

AEA 15670

To appear in:

Atmospheric Environment

Received Date: 10 July 2017 Revised Date:

7 November 2017

Accepted Date: 10 November 2017

Please cite this article as: Frka, S., Grgić, I., Turšič, J., Gini, M.I., Eleftheriadis, K., Seasonal variability of carbon in humic-like matter of ambient size-segregated water soluble organic aerosols from urban background environment, Atmospheric Environment (2017), doi: 10.1016/j.atmosenv.2017.11.013. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

ACCEPTED MANUSCRIPT 1

Seasonal variability of carbon in humic-like matter of ambient

2

size-segregated water soluble organic aerosols from urban

3

background environment

RI PT

4 5

Sanja Frkaa,b, Irena Grgićb,*, Janja Turšičc, Maria I. Ginid, Konstantinos

6

Eleftheriadisd

SC

7 8

a

9

Croatia

M AN U

Division for Marine and Environmental Research, Ruđer Bošković Institute, 10000 Zagreb,

10

b

11

Slovenia

12

c

13

d

14

“Demokritos”, 15341 Athens, Greece

15

________________________

16

*Corresponding author. E-mail address: [email protected] (I. Grgić)

17

Abstract

18

Long-term measurements of carbon in HUmic-LIke Substances (HULIS-C) of ambient size-

19

segregated water soluble organic aerosols were performed using a ten-stage low-pressure

20

Berner impactor from December 2014 to November 2015 at an urban background

21

environment in Ljubljana, Slovenia. The mass size distribution patterns of measured species

22

(PM - particulate matter, WSOC - water-soluble organic carbon and HULIS-C) for all seasons

23

were generally tri-modal (primarily accumulation mode) but with significant seasonal

Department of Analytical Chemistry, National Institute of Chemistry, 1000 Ljubljana,

Environmental Agency of the Republic of Slovenia, 1000 Ljubljana, Slovenia

AC C

EP

TE D

Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, N.C.S.R.

1

ACCEPTED MANUSCRIPT variability. HULIS-C was found to have similar distributions as WSOC, with nearly the same

25

mass median aerodynamic diameters (MMADs), except for winter when the HULIS-C size

26

distribution was bimodal. In autumn and winter, the dominant accumulation mode with MMAD

27

at ca. 0.65 µm contributed 83 and 97% to the total HULIS-C concentration, respectively.

28

HULIS-C accounted for a large fraction of WSOC, averaging more than 50% in autumn and

29

40% in winter. Alternatively, during warmer periods the contributions of ultrafine (27% in

30

summer) and coarse mode (27% in spring) were also substantial. Based on mass size

31

distribution characteristics, HULIS-C was found to be of various sources. In colder seasons,

32

wood burning was confirmed as the most important HULIS source; secondary formation in

33

atmospheric liquid water also contributed significantly, as revealed by the MMADs of the

34

accumulation mode shifting to larger sizes. The distinct difference between the spring and

35

summer ratios of HULIS-C/WSOC in fine particles (ca. 50% in spring, but only 10% in

36

summer) indicated different sources and chemical composition of WSOC in summer (e.g.,

37

SOA formation from biogenic volatile organic compounds (BVOCs) via photochemistry).

38

The enlarged amount of HULIS-C in the ultrafine mode in summer suggests that the

39

important contribution was most likely from new particle formation during higher emissions

40

of BVOC due to the vicinity of a mixed deciduous forest; the higher contribution of HULIS-C

41

in the coarse mode demonstrated that beside soil erosion other sources, such as pollen and

42

plant fragments, could also be responsible.

SC

M AN U

TE D

EP

AC C

43

RI PT

24

44

Keywords: Size-segregated aerosols, Organic carbon, WSOC, HULIS, Levoglucosan,

45

Biomass burning.

46

2

ACCEPTED MANUSCRIPT 47

1.

Introduction Atmospheric aerosols are recognized to play an essential role in diverse environmental

49

problems, such as climate change and eutrophication of remote areas; they are involved in many

50

different physico-chemical processes in the atmosphere and also represent an important risk

51

factor for various adverse health effects in humans (Pöschl, 2005; Hallquist et al., 2009; Liu et

52

al., 2013; Pöschl and Shiraiwa, 2015; Ravishankara et al., 2015; Seinfeld and Pandis, 2016).

53

Atmospheric aerosols exhibit a wide range in diameter, from a few nanometers to several tens

54

of micrometers, making size the most important parameter used to describe their properties.

55

Thus, besides chemical composition, information on particle size offers vital information not

56

only for deducing origin and (trans)formation pathways, including secondary formation and

57

potential impacts on human health, but also on visibility, radiative forcing, and cloud

58

formation (e.g., Kanakidou et al., 2005; Seinfeld and Pandis, 2016). Although various

59

categories for particle size exist in the literature, in general, nucleation (Aitken) (particle size

60

< 0.1 µm, mostly called ultrafine) and accumulation modes (from ∼ 0.1 to ∼ 2 µm) are

61

together defined as “fine” particles (Seinfeld and Pandis, 2016). In number of cases the

62

accumulation mode comprises two modes: the condensation mode (∼ 0.1–0.5 µm), produced

63

by primary particle emissions and growth of smaller particles by coagulation and

64

condensation of gases, and the droplet mode (∼ 0.5–2.0 µm), likely formed from aqueous-

65

phase processing of condensation mode particles. Material in the coarse mode (particle size >

66

2.5 µm) is of primary origin.

67

In rural background conditions (i.e. for 12 European rural background sites following a one-

68

year sampling campaign within the European Monitoring and Evaluation Programme,

69

EMEP), up to 90% of the carbonaceous fraction, which accounts for 30 ± 9% of atmospheric

70

PM10, can be attributed to organic carbon (OC) with the remaining fraction comprising

AC C

EP

TE D

M AN U

SC

RI PT

48

3

ACCEPTED MANUSCRIPT elemental carbon (EC) (Yttri et al., 2007). Elemental carbon results exclusively from primary

72

combustion processes and is typically found in fine mode aerosols; OC can be of primary or

73

secondary origin; hence, extends over a wider aerosol size range (Pio et al., 2007).

74

Accumulation mode particles often exhibit a bimodal distribution consisting of condensation

75

(gas-to-particle conversion; 0.14 - 0.42 µm) and droplet mode particles (chemical processing;

76

0.42 - 1.2 µm) (e.g. John et al., 1990; Meng and Seinfeld, 1994; Sandrini et al., 2016).

RI PT

71

The water-soluble organic fraction of atmospheric aerosols, usually quantified as

78

water-soluble organic carbon (WSOC), represents a highly variable fraction (10–80%) of

79

organic carbon and depends on season, location, time-of-day, and particle size (Agarwal et al.,

80

2010; Duarte and Duarte, 2011). Secondary organic aerosols (SOA), in particular, are

81

associated with a large water-soluble organic fraction, comprising more oxidized and soluble

82

organic compounds, induced by photooxidation of anthropogenic or biogenic precursors

83

(Pöschl, 2005; Hallquist et al., 2009; Ervens et al., 2011). Besides altering the hygroscopic

84

properties (Fors et al., 2010), surface tension (Salma et al., 2006), and effective density of the

85

aerosol (Dinar et al., 2006)—thus indirectly influencing the ability of particles to act as cloud

86

condensation nuclei (CCN) (Padró et al., 2010)—a significant fraction of WSOC also exhibits

87

light-absorbing properties, contributing to atmospheric brown carbon (BrC) (Zhang et al.,

88

2013; Nguyen et al., 2012; Laskin et al., 2015).

M AN U

TE D

EP

AC C

89

SC

77

One of the most important classes of water-soluble organics in atmospheric aerosols

90

and fog and cloud waters are HUmic-LIke Substances (HULIS), a term that underscores their

91

physico-chemical similarities to natural humic matter (Graber and Rudich, 2006; Duarte et al.,

92

2007; Zheng et al., 2013). In contrast to humic substances from terrestrial and/or aquatic

93

sources, atmospheric HULIS have smaller molecular weights and are composed of fewer

94

acidic and aromatic compounds (Graber and Rudich, 2006). HULIS are of special interest due 4

ACCEPTED MANUSCRIPT to their surface activity, light-absorbing capability, and photochemical activity. Formation

96

mechanisms, physico-chemical properties, and chemical composition on water soluble

97

organics, including HULIS have already been the subject of numerous studies (e.g., Decesari

98

et al., 2000, 2001, 2006; Salma et al., 2007, 2008, 2010; Ziese et al., 2008; Claeys et al., 2012;

99

Pavlovic and Hopke, 2012; Zheng et al., 2013). Field experiments have observed HULIS in a

100

variety of aerosols of different origins, and carbon fractions (HULIS-C), though variable,

101

generally constitute 24–72% of WSOC in bulk PM (Zheng et al., 2013 and references

102

therein). The observed seasonal variabilities of HULIS mass concentrations over Europe

103

result from different processes responsible for emissions and formation of HULIS, such as

104

biomass burning (BB) in winter and photooxidation in summer (Feczko et al., 2007; Baduel et

105

al., 2010; Poulain et al., 2011, Amato et al., 2016).

M AN U

SC

RI PT

95

Although the size distributions of WSOC have been studied widely in different

107

environments (e.g., Timonen et al., 2008; Agarwal et al., 2010; Lin et al., 2010; Pavlovic and

108

Hopke, 2012), information on the size distributions of HULIS is quite limited (Lin et al.,

109

2010; Salma et al., 2013). In addition, very little is known about seasonal variations of HULIS

110

in size-segregated ambient aerosols, in part due to the highly demanding procedure of

111

sampling and analyzing low-level material concentrations. In the present study, emphasis was

112

given to the seasonal variability of size-resolved WSOC and HULIS-C mass concentrations in

113

ambient aerosols collected by a ten-stage, low-pressure Berner impactor at an urban

114

background environment in Ljubljana, Slovenia. According to current literature, these are the

115

first comprehensive long-term measurements of HULIS water-soluble carbon content in size-

116

segregated atmospheric aerosols. The obtained data were tested for correlation with

117

levoglucosan, a primary tracer for biomass burning emissions (Simoneit et al., 1999), as well

118

as with aerosol PM mass and total carbon (TC), to identify possible sources. Mass size

119

distribution patterns of PM, WSOC, and HULIS-C for all seasons, and also levoglucosan for

AC C

EP

TE D

106

5

ACCEPTED MANUSCRIPT 120

winter and autumn, were obtained and approximated by a sum of fitted characteristic log-

121

normal Gaussian modes. Based on the characteristics of HULIS-C in the water-soluble

122

organic aerosols, possible sources and formation mechanisms are discussed.

123

2.

Experimental section

125

2.1. Aerosol sampling

RI PT

124

Size-segregated aerosol samples were collected with a Berner low-pressure cascade

127

impactor (HAUKE, LPI 25/0,015/2) at an urban background site of Ljubljana, Slovenia

128

(approx. 279,000 inhabitants, 298 m a.s.l.) within the AERONAR project campaign. The

129

sampling site was located ca. 1.5 km away from the motorway ring-road, in the near vicinity

130

of hill Rožnik covered mostly with deciduous trees (oak and beech) and ca. 400 m away from

131

a residential area, where substantial wood combustion for domestic heating during winter,

132

was expected to be used.

M AN U

SC

126

The impactor was operated at a nominal flow rate of 25.8 L min-1 (at 20 °C); it has 10

134

collection stages for the nominal size ranges expressed in aerodynamic equivalent diameter,

135

dae (stage 1, 0.038–0.067 µm; stage 2, 0.067–0.104 µm; stage 3, 0.104–0.16 µm; stage 4,

136

0.16–0.305 µm; stage 5, 0.305–0.56 µm; stage 6, 0.56–1.01 µm; stage 7, 1.01–2.1 µm; stage

137

8, 2.1–3.99 µm; stage 9, 3.99–8.06 µm; stage 10, 8.06–15.6 µm). The samples were collected

138

on aluminum foils for 48–72 h from 3 December 2014 until 11 November 2015, resulting in

139

the overall collection of 52 samples, each comprising 10 stages. Thus, during winter, spring,

140

summer and autumn 240, 90, 90 and 100 foil samples were collected, respectively. To remove

141

organic contaminants foils were pre-baked at 500 °C for 24 h prior to sampling. Collected

142

aerosol samples and filter field blanks (no air was drawn through the filter) were stored at -18

AC C

EP

TE D

133

6

ACCEPTED MANUSCRIPT 143

°C prior to analysis. Standard meteorological parameters (e.g., RH, T, precipitation, sun

144

duration, wind) were obtained from the nearest meteorological station (Table S1).

145 146

2.2.

Sample treatment and chemical analysis Aerosol mass was determined by weighing (Sartorius M3P microbalance, sensitivity of

148

1 µg; reproducibility of ±3 µg) each impaction foil before and after sampling, after

149

conditioning for at least 24 h (20 ± 1 °C; RH = 50 ± 5). Two steps were taken to ensure a

150

sufficient amount of carbonaceous material for chemical analysis: (1) stages 1 and 2 were

151

processed together for each sample (called stage 2a herein); and (2) 2–5 consecutive samples

152

were combined, providing seven sample sets for winter, three for spring, three for summer,

153

and three for autumn. Thus, each sample set, comprising nine stages (from 2a to 10)

154

represents the average of 6 to 12 sampling days. The number of samples combined into

155

sample set was dependent on the PM mass deposition on aluminum foils, i.e. to ensure at least

156

90 µg of PM deposit for each size fraction (Tables S2-S5). Specific PM mass size fractions

157

were obtained by combining the corresponding deposits as follows and used hereafter: PM<0.1

158

(size below 0.16 µm, stages 2a and 3), PM0.1-1 (size 0.16–1.01 µm, stages 4, 5 and 6), PM1-2

159

(size 1.0–2.01 µm, stage 7), PM2 (size 0.038–2.1 µm, stages 2a, 3, 4, 5, 6 and 7), PM>2 (size

160

2.1–15.6 µm, stages 8, 9 and 10), and PM15.6 (all stages together, size: 0.038–15.6 µm; stages

161

from 2a to 10). As schematically presented in Fig. 1, combined foils with deposits were

162

extracted jointly for 2 min in 20 mL of high-purity water (18.2 MΩ cm, Milli-Q purification

163

water system; Millipore, Bedford, MA, USA) in an ultrasonic bath, left for 24 h (at 4 °C), and

164

filtrated through 0.22 µm pore size filter (Supelco, USA). An aliquot of 0.5 mL was used for

165

WSOC and levoglucosan determination. Another aliquot representing 14.8 mL of overall

166

water extract was further adjusted to pH 2 with HCl and used for HULIS separation. Due to

AC C

EP

TE D

M AN U

SC

RI PT

147

7

ACCEPTED MANUSCRIPT its simplicity and selective isolation, solid-phase extraction (SPE) is the most frequently-used

168

approach for simultaneous concentration and fractionation of HULIS from other dissolved

169

constituents (Kiss et al., 2002; Salma et al., 2007, 2008, 2013, Samburova et al., 2007) and

170

was also applied in this work. For SPE, C-18 cartridges were chosen; organics that represent

171

HULIS were retained on C-18 cartridges (SEP-PAK VAC, 3 mL, 500 mg, Waters),

172

afterwards they were eluted with methanol, dried gently with N2, and re-dissolved in 14.8 mL

173

of Milli-Q. Aliquots of HULIS were then used for organic carbon analysis. Procedure blanks

174

were obtained with Milli-Q water subjected to the same processing steps as the samples

175

analyzed for WSOC. Blank WSOC values were below limit of detection (LOD, 0.1 mgC L-1).

176 177 178

AC C

EP

TE D

M AN U

SC

RI PT

167

Fig. 1: Scheme of experimental set up.

179

8

ACCEPTED MANUSCRIPT 180

Organic carbon in water soluble extracts (WSOC) and in HULIS (HULIS-C) were

181

determined by Combustion TOC Analyzer (Teledyne, Apollo 9000 HS) with NDIR

182

(nondispersive infrared gas analyzer) detection (e.g. Sandrini et. al., 2016). Levoglucosan in water-soluble extracts were analyzed by ion-exchange chromatography

184

(Dionex ICS-3000, column Dionex CarboPac MA1) with electrochemical detection (Pulse

185

amperometric detection with standard quadruple wave form) at a flow rate of 0.4 mL min-1

186

(e.g., Engling et al., 2006). Limit of detection (LOD) of the used method was 0.005 mg L-1 and

187

limit of quantification 0.015 mg L-1.

SC

RI PT

183

A portion of each Al foil filter (depending on the number and surface area of spots at

189

each impactor stage) was used for TC analyses performed by OC-EC Analyzer (Sunset

190

Laboratory) using He/O2 mixture following two-step procedure: (1) 450 °C for 120 s and (2)

191

650 °C until signal reaches the baseline. The accuracy of the used procedure was confirmed

192

with the EUSAAR 2 protocol using quartz fiber filters (Cavalli et al., 2010) and the agreement

193

was within 5%.

195

TE D

194

M AN U

188

2.3. Multi-modal analysis of mass size distributions Further data analysis was conducted on the dataset of each 10 size fractions of PM mass

197

and of WSOC, HULIS-C, and levoguclosan mass concentrations obtained by the analysis.

198

Aerosol fractionation by impactors is non ideal and each stage always collects a fraction of

199

particles with smaller sizes than the aerodynamic 50% cut off size, while it fails to collect

200

some of the particles with sizes larger than its prescribed cut off size. The redistribution of

201

particle mass to the correct one can be achieved by an inversion algorithm considering the

202

individual stage collection efficiency curves of the Berner impactor. In order to achieve a

203

meaningful solution for this inversion problem some assumptions are made, mainly

AC C

EP

196

9

ACCEPTED MANUSCRIPT considering a mass closure for all stages and that aerosol mass size distributions can be

205

described by a sum of lognormal functions. The inverted continuous size distribution curves

206

were reconstructed by means of the MICRON inversion algorithm (Wolfenbarger and

207

Seinfeld, 1990). The result is a continuous size distribution instead of the step-type

208

distribution of raw data available for the individual stages. In order to derive quantitative

209

statistics and details of the dynamics and evolution of the size distribution for PM mass and

210

the chemical components the metrics of lognormal size distribution modes resolved is again

211

used by simulating an optimum sum of such log-normal modes to fit the inverted size

212

distributions. Each mode is described by a mass median aerodynamic diameter (MMAD) (i.e.,

213

characteristic parameter to define the mean size of aerosol particles for each size mode) and a

214

geometric standard deviation (GSD) applying the methodology as described elsewhere

215

(Hussain et al., 2005; Zwozdziak et. al., 2017). The position of the size distribution peaks and

216

their broadness are particularly useful in discussing the similarity of the aerosol modes

217

containing the individual chemical components. Therefore, their existence in the atmospheric

218

environment as internal or external mixtures resulting from the same or different sources of

219

origin and aging processes can be discussed.

TE D

M AN U

SC

RI PT

204

EP

220

3.

222

3.1 Seasonal varability of atmospheric concentrations of PM, WSOC and HULIS-C in

223

Results and discussion

AC C

221

different size fractions

224

Seasonal PM masses and atmospheric concentrations of WSOC and HULIS-C in ultrafine

225

(denoted as PM<0.1 for particles < 0.16 µm), accumulation (PM0.1-1, size: 0.16–1.01 µm; and

226

PM1-2, size: 1.0–2.01 µm) and coarse (PM>2, size: 2.01–15.6 µm) fractions are shown in Fig. 2.

227

Since the determination of HULIS-C requires demanding handling and sufficient amount of

228

carbonaceous material present after SPE procedure, HULIS-C was determined for 6 sample 10

ACCEPTED MANUSCRIPT sets during winter and only for 1 sample set in spring, summer and autumn period. Note that

230

one sample set represents the average of 6 to 12 sampling days in each season. The average

231

PM15.6 mass concentrations of 32.8 ± 14.0 µg m-3 (average conc. ± standard deviation; N = 7),

232

11.6 ± 1.2 µg m-3 (N = 3), 16.8 ± 2.2 µg m-3 (N = 3) and 27.4 ± 11.9 µg m-3 (N = 3) were

233

determined for winter, spring, summer and autumn samples, respectively. In winter, the

234

average PM15.6 WSOC concentration was 5.1 ± 3.0 µgC m-3 (N = 7) with the highest

235

concentration of 11.9 µgC m-3 measured in mid-February (Fig. 2). In autumn and summer, and

236

especially in spring, the average PM15.6 WSOC concentrations were lower (autumn, 1.7 ± 0.4

237

µgC m-3, N = 3; summer, 1.8 ± 0.2 µgC m-3, N = 3; spring: 0.6 ± 0.2 µg m-3, N = 3). The

238

average PM2 WSOC concentrations of 4.6 ± 2.6 µg m-3, 0.5 ± 0.1 µg m-3, 1.6 ± 0.3 µg m-3

239

and 1.6 ± 0.3 µg m-3 were determined for winter, spring, summer and autumn samples,

240

respectively. In particular in winter and autumn, the highest concentrations were measured in

241

PM0.1-1 fraction. In addition, spring and summer were characterized also with some enhanced

242

concentrations in PM>2 coarse fraction.

TE D

M AN U

SC

RI PT

229

Further discussion is related to particular HULIS-C contribution to WSOC of

244

corresponding sample set (Fig. 2). For winter, the average PM15.6 HULIS-C concentration was

245

1.7 ± 1.3 µgC m-3 (N = 6) with the highest concentration of 3.2 µgC m-3 observed also in mid-

246

February (Fig. 2). The average PM2 fraction of HULIS-C was 1.6 ± 1.2 µgC m-3 with 1.4 µgC

247

m-3 in PM0.1-1 fine particles. In autumn (5–11 November 2015), more than 50% of the PM15.6

248

WSOC represents HULIS-C (1.3 µgC m-3), 70% of which was in the PM0.1-1 fraction, and the

249

rest largely in the coarse mode PM>2. The PM15.6 HULIS-C concentrations for selected spring

250

(15–25 May 2015) and summer (10–21 August 2015) periods were similar (0.36 and 0.40 µg m-

251

3

252

26% in PM>2 for summer (Fig. 2).

AC C

EP

243

, respectively) with about 60% in PM0.1-1 and 21% in PM>2 for spring and 44% in PM0.1-1 and

11

ACCEPTED MANUSCRIPT Our measurements showed that the contributions of HULIS-C to WSOC in PM15.6

254

were about 20% in summer, 30% in winter, almost 50% in spring and nearly 70% in autumn.

255

Similarly, contributions of HULIS-C to WSOC in PM10 aerosol samples from French cities

256

(Grenoble, Strasbourg, Lille, Tolouse, Marseille, and Paris) during all seasons were found to

257

be between 28 and 43% (Baduel et al., 2010). Pavlovic and Hopke (2012) investigated

258

seasonal patterns (fall vs. summer) of HULIS in three different PM size fractions (PM<0.1,

259

PM0.1-1 and PM1-2.5) for a rural environment in Potsdam, NY (close to the park with mixed

260

coniferous/deciduous forest); about 40% of HULIS was found in PM0.1-1 during summer

261

increasing to 56% in fall, which is similar to our measurements, i.e. 44% of HULIS-C in

262

PM0.1-1 in summer and more than 50% in autumn. The ultrafine fraction (PM<0.1) in the fall

263

season contributed 45% to the total HULIS and was much higher than in summer.

M AN U

SC

RI PT

253

AC C

EP

TE D

264

12

265

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

Fig. 2. Long-term measurements of particulate mass (PM), water-soluble organic carbon

267

(WSOC) and carbon in water-soluble humic-like substances (HULIS-C) in different size

268

fractions of aerosol particles (ultrafine denoted as PM<0.1 for particles < 0.16 µm; accumulation

269

as PM0.1-1 and PM1-2 for sizes 0.16–1.01 and 1.0–2.01 µm, respectively; and coarse as PM>2,

270

size: 2.01–15.6 µm) collected in the period from December 2014 to November 2015 at an

271

urban background site in Ljubljana, Slovenia. Concentrations for PM mass are in µg m-3 (right

272

y-axis), and for WSOC and HULIS-C in µgC m-3 (left y-axis). Note that HULIS-C was

AC C

EP

266

13

ACCEPTED MANUSCRIPT 273

determined for six sample sets during winter and for one sample set in spring, summer and

274

autumn period.

275 276

3.2 Mass size distributions of PM, WSOC and HULIS-C The seasonal characteristics of the PM mass, WSOC, and HULIS-C size-distribution

278

patterns represented by one selected data set from each season are shown in Fig. 3 and their

279

seasonal contributions to different modes are presented in Fig 4. Namely, HULIS-C

280

determination was limited to particular seasonal sample sets, thus, further discussion is related

281

to the selected data being the average of 6 to 12 sampling days in each season. Three modes

282

(ultrafine, particle size < 0.16 µm; accumulation, from 0.16 to ∼ 2 µm and coarse, above 2

283

µm) are evident for PM mass (Figs. 3a and b) and WSOC (Figs. 3c and d) for all seasons.

284

However, significant seasonal variability among modes can be seen between the winter-autumn

285

and spring-summer periods. In general, accumulation was the major mode for both PM mass

286

and WSOC for all seasons with a MMAD for both of 0.66, 0.60, 0.50, and 0.51–0.56 µm for

287

autumn, winter, spring, and summer, respectively (Table 1). For winter and autumn, this

288

mode represents 91% and 84% of the total WSOC concentration and 83% and 70% of the

289

total PM mass concentration, respectively (Fig 4). Alternatively, accumulation mode

290

accounted for slightly more than 50% of the total PM mass and WSOC in spring, whereas in

291

summer this mode represented 60% of the total PM mass and 70% of the total WSOC

292

concentration. Ultrafine mode was quite persistent, and its contribution to total PM mass

293

increased from 4% in winter (MMAD = 0.13 µm) to 10% in summer (MMAD = 0.17 µm),

294

while ultrafine contributions to WSOC were around 7% for all seasons (av MMAD =

295

0.13 µm) with an increase in spring to 12%. The coarse modes of PM mass and WSOC in

296

winter (13% and 2%, respectively) and autumn (23% and 10%, respectively) increased

AC C

EP

TE D

M AN U

SC

RI PT

277

14

ACCEPTED MANUSCRIPT 297

significantly during spring (37% and 34%, respectively) and summer (30% and 22%,

298

respectively). The prominent increase from winter to spring was observed especially in coarse

299

WSOC contribution; the MMAD values did not change significantly. As shown in Figs. 3e and f, as well as in Table 1, the mass size distribution of HULIS-C

301

follows that of WSOC with nearly the same MMADs; three modes were characteristic for all

302

seasons, except for winter where HULIS-C size distribution had a bimodal structure. Thus, for

303

autumn and winter, the dominant accumulation mode contributed 83 and 97%, respectively; the

304

minor ultrafine mode represented 7 and 3% of the total HULIS-C concentration, respectively. In

305

autumn, the coarse mode contributed 10%. In contrast, for spring and summer, the ultrafine

306

mode reached 16 and 27% and the coarse mode 27 and 16%, respectively, while significantly

307

lower contributions of the dominant accumulation mode were observed (ca. 57%) during spring

308

(Table 1, Fig. 4). The structure of the distribution of HULIS-C for summer was different than

309

for WSOC. Although three modes (Fig. 3f) were still resolved, they appeared much broader

310

and therefore merged, with larger mean diameters and GSDs, especially for the coarse and

311

accumulation modes and different than those of WSOC for the same season (Table 1). This

312

could also be an indication of aging and the result of small contributions by several processes

313

of HULIS-C in the summer. In addition, the WSOC appear to be internally well mixed within

314

the ultrafine and accumulation modes (similar GSDs). In the coarse mode, modal diameters

315

for the WSOC and HULIS-C, and PM differed to some extent indicating that they still appear

316

as a rather external mixture with mineral dust.

AC C

EP

TE D

M AN U

SC

RI PT

300

317

Mass size distributions for levoglucosan were characterized by one mode in winter

318

aerosols and two modes in autumn aerosols with similar MMADs as for WSOC and HULIS-C

319

with major contribution to the accumulation mode (Table 1). Our results are in agreement with

320

those found for aerosols affected by biomass burning, where most of the levoglucosan (up to

15

ACCEPTED MANUSCRIPT 321

89%) was present in small particles (<1.5 µm) (Cerasi Urban et al., 2012). The concentrations

322

of levoglucosan during spring and summer were below the detection limit.

323

60.0

a

RI PT

PM-Winter (Inv) PM-Winter

PM-Autumn (Inv)

40.0

PM-Autumn

30.0

SC

dM/dlogda (µg/m3)

50.0

20.0

0.0 0.01

0.1

324

18.0

12.0 9.0

AC C

3.0

0.0 0.01

325

10

100

PM-Spring (Inv)

TE D

15.0

6.0

1 da, (µm)

PM-Spring PM-Summer (Inv) PM-Summer

EP

dM/dlogda (µg/m3)

b

M AN U

10.0

0.1

1 da, (µm)

10

100

326

16

ACCEPTED MANUSCRIPT 10.0 WSOC-Winter (Inv) WSOC-Winter

8.0

WSOC-Autumn (Inv)

4.0 2.0 0.0 0.01

0.1

1 da, (µm)

WSOC-Spring (Inv)

d

WSOC-Spring WSOC-Summer (Inv)

2.0

WSOC-Summer

1.5 1.0 0.5

EP

0.0 0.01

0.1

1

10

100

da, (µm)

AC C

328

100

TE D

dM/dlogda (µg/m3)

3.0 2.5

10

M AN U

327

RI PT

WSOC-Autumn

6.0

SC

dM/dlogda (µg/m3)

c

17

ACCEPTED MANUSCRIPT 6.0

e

HULIS-C-Winter (Inv) HULIS-C-Winter

4.0

HULIS-C-Autumn (Inv) HULIS-C-Autumn

3.0

RI PT

dM/dlogda (µg/m3)

5.0

2.0

0.0 0.01

0.1

1 da, (µm)

0.5

HULIS-C-Spring (Inv) HULIS-C-Spring

0.4

HULIS-C-Summer (Inv) HULIS-C-Summer

0.3

TE D

dM/dlogda (µg/m3)

f

0.2

EP

0.1

0.1

1 da, (µm)

10

100

AC C

0.0 0.01 330

100

M AN U

329

10

SC

1.0

331

Fig. 3. Mass size distributions of particulatte mass (PM) (a, b), water-soluble organic carbon

332

(WSOC) (c, d), carbon in water-soluble humic-like substances (HULIS-C) (e, f) in aerosols

333

from an urban background site of Ljubljana, Slovenia for a typical data set from winter and

334

autumn (a, c and e), and spring and summer (b, d and f), 2015.

335

----- Berner Impactor data with mass concentrations measured at every stage;  inverted size

336

distributions by the Micron algorithm.

337 18

ACCEPTED MANUSCRIPT 338

Table 1: Modal characteristics of particulatte mass (PM), water-soluble organic carbon

339

(WSOC), carbon in water-soluble humic-like substances (HULIS-C) and levoglucosan mass

340

size distributions for winter, spring, summer and autumn 2015. GSD – geometric standard

341

deviation, MMAD – mass median aerodynamic diameter.

GSD

MMAD (µm)

Mass conc. (µg m-3)

GSD

MMAD (µm)

Mass conc. (µg m-3)

GSD

MMAD (µm)

Mass conc. (µg m-3)

1.29 1.40 1.20

0.13 0.15 0.13

1.53 0.40 0.08

1.59 1.70 1.48 1.72

0.60 0.60 0.64 0.57

28.9 5.47 2.36 0.79

1.57 1.33

4.32 4.14

4.50 0.14

1.33 1.34 1.46

0.13 0.12 0.13

0.80 0.09 0.05

1.56 1.49 1.62

0.50 0.51 0.58

1.53 2.84 2.25

5.20 4.37 4.92

3.77 0.25 0.10

1.71 1.30 2.61

0.17 0.11 0.17

1.53 0.14 0.11

1.29 1.31 1.32 1.25

0.13 0.12 0.13 0.12

2.81 0.14 0.09 0.03

343

5.57 0.39 0.20

1.66 1.53 3.36

0.56 0.51 0.78

8.90 1.32 0.23

1.82 1.77 2.46

5.05 4.03 6.68

4.51 0.42 0.07

1.63 1.65 1.66 1.65

0.66 0.65 0.66 0.71

29.9 1.76 1.00 0.53

1.88 1.66 1.56

4.18 3.15 3.39

9.96 0.21 0.12

TE D

342

RI PT

Winter PM WSOC HULIS-C Levoglucosan Spring PM WSOC HULIS-C Summer PM WSOC HULIS-C Autumn PM WSOC HULIS-C Levoglucosan

Coarse mode

M AN U

Species

Accumulation mode

SC

Ultrafine mode

3.3 Possible sources and formation mechanisms of HULIS In the Ljubljana region, the highest PM mass concentrations are typically in winter and

345

late autumn due to more intensive emissions from high-temperature processes, especially

346

biomass burning, enhanced by accelerated condensation of semivolatile organics due to lower

347

temperatures and frequent temperature inversions (Morawska et al., 2008; Hitzenberger et al.,

348

2006)). Elevated concentrations of fine particles during cold periods have been reported

349

previously for many urban areas (e.g., Huang et al., 2015; Zwozdiak et al., 2017). As shown

350

in Fig. 4b and explained above, the accumulation mode is the major mode of PM mass.

351

Moreover, the similar size distributions of the measured species (PM mass, WSOC, HULIS-

352

C, levoglucosan) indicate that they were internally mixed within this mode (Table 1).

AC C

EP

344

19

ACCEPTED MANUSCRIPT Together, these suggest a common evolution and aging mechanism. Higher RH conditions in

354

winter and autumn (av RH > 80%) and low temperatures especially during winter (av T = 4

355

°C) lead to increased uptake of water-soluble organic gases and also to aqueous-phase

356

chemistry. Importantly, these contribute to the secondary formation of WSOC, thus of

357

HULIS-C as well, possibly through heterogeneous reactions or oligomerization through in-

358

cloud processing (Lin et al., 2013). Consequently, MMADs were shifted to larger sizes

359

(Sandrini et al., 2016). The correlations of levoglucosan as a specific tracer for primary BB

360

aerosols (Urban et al., 2012) with HULIS-C were highly correlated (R2 = 0.76 and 0.99 for

361

winter and autumn samples, respectively), indicating that wood-burning emissions from

362

domestic heating near the sampling site was the major source of HULIS-C during the autumn

363

and winter months.

M AN U

SC

RI PT

353

In spring and summer, the accumulation mode was also dominant (Fig. 4b) but with

365

lower contributions and at smaller MMADs (ca. 0.50 µm). This can be attributed to higher

366

temperatures (av 16 °C in spring and 22 °C in summer) and more intensive solar radiation. On

367

the other hand, the distribution pattern of HULIS-C for summer is quite different than that for

368

the WSOC, indicating that different formation pathways attributed to the observed WSOC

369

and HULIS-C concentrations (Figs. 3d, f).

EP

TE D

364

For the coarse mode, which accounted for 10% in the autumn, but reached nearly 30%

371

of the total HULIS-C in spring and over 20% in summer (Fig. 4a), the major source could be

372

assigned to primary emissions of aged material deposited on the ground enhanced by

373

mechanical processes (Salma et al., 2013), but also could be the result of wind driven

374

transport of plant fragments, such as pollen and other particles of biological origin (Jaenicke,

375

2005), due to their increased production during spring time.

AC C

370

20

ACCEPTED MANUSCRIPT The ultrafine mode was low during cold periods; however, its contribution to the total

377

HULIS-C in warmer seasons, especially in summer, was relatively high (27%) (Fig. 4a). In

378

that period, in addition to primary emissions caused by high-temperature processes, the

379

significant contribution of HULIS-C was most likely the result of new particle formation

380

processes. Such processes include heightened emissions of biogenic volatile organic

381

compounds (BVOCs) (e.g., isoprene), due to the vicinity of a mixed deciduous forest (Lin et

382

al., 2013; Yu et al., 2014), followed by growth to CCN-active sizes (ca. 100 nm) and further

383

processing by more intensive atmospheric photochemical reactions in summer (Song et al.,

384

2012). Summer maximums of HULIS-C are typically observed in sites where anthropogenic

385

sources are not significant, especially when biogenic emissions (e.g., from forests) dominate.

M AN U

SC

RI PT

376

Before this work, explicit mass size distributions of HULIS-C have been reported only

387

for a rural location in South China at a time of harvest season (7 days in November) with a

388

visible presence of crop residue burning (Lin et al., 2010) and for a kerbside within a street

389

canyon in central Budapest, Hungary for 12 days in spring (Salma et al., 2013). In both

390

studies, two submodes of the accumulation mode (condensation and droplet) were reported,

391

although at different MMADs (condensation modes were 0.23-0.28 and 0.31 µm, and droplet

392

modes were 0.63-0.87 and 1.22 µm for Lin et al., 2010 and Salma et al., 2013, respectively).

393

In our case, we did not determine two submodes of the accumulation mode, but the dominant

394

accumulation mode for HULIS-C (Table 1) is close to the droplet mode determined during

395

intensive emissions of biomass burning aerosols in South China (Lin et al., 2010). In addition,

396

previous reports showed that accumulation mode was the main contributor to the total

397

HULIS-C (81%), in agreement with our findings (97% in winter and 83% in autumn).

398

Similarly, as found by Salma et al. (2013) for spring urban aerosols, the coarse mode HULIS-

399

C represented an important contribution to atmospheric HULIS-C during dry seasons,

400

especially in spring in Ljubljana, Slovenia (Table 1).

AC C

EP

TE D

386

21

ACCEPTED MANUSCRIPT The concentration ratio of WSOC/TC demonstrates that the contribution of WSOC to the

402

TC was much higher in winter aerosols (av ca. 50% in PM1) than autumn aerosols (ca. 20%)

403

(Figs. S1 a and b); the higher WSOC fraction in winter aerosols likely results from greater SOA

404

and levoglucosan output (Irei et al., 2014; Sandrini et al., 2016). HULIS-C accounted for a large

405

fraction of WSOC, i.e. about 60% for autumn particles and interestingly contributed similarly to

406

all size fractions. In winter, HULIS-C contributed on average 40% to WSOC with the highest

407

contribution in fine particles (ca. 50%). Similarly, as we measured for autumn aerosols, the

408

ratios of about 60% (Lin et al., 2010) and 63–76% (Salma et al., 2010) were found for typical

409

biomass burning aerosols; however, in fresh BB aerosols also lower values (e.g. 30%) were

410

observed (Lin et al., 2010), leading us to conclude that other sources were also important

411

contributors to WSOC. Interestingly, an average HULIS/WSOC ratio (56%) similar to what we

412

determined for PM0.1-1 autumn aerosols was also reported for fall fine PM0.1-1 aerosols collected

413

in a rural environment in Potsdam, NY (Pavlovic and Hopke, 2012). In addition, the WSOC and

414

HULIS-C concentrations for PM2 fraction (2 and 1.14 µg m-3, respectively) (Fig. 2) determined

415

in our study are in good agreement to those measured for PM2.5 (2.44 ± 0.41 and 1.33 ± 0.12 µg

416

m-3, respectively) (Pavlovic and Hopke, 2012).

TE D

M AN U

SC

RI PT

401

In summer, the contribution of WSOC to TC (Figs. S1c and d) was much higher than in

418

spring, especially in fine particles (ca. 50 and 30%, respectively), clearly the result of

419

increased secondary processing in summer (as photochemistry). Moreover, the distinct

420

difference between the spring and summer ratios of HULIS-C/WSOC (ca. 50% for spring, but

421

as low as 10% for summer fine particles (Figs. S1c and 1d)) also supports different origins of

422

WSOC in summer. Namely, in addition to the expected higher amounts of low molecular

423

weight carboxylic acids due to the vicinity of mostly oak and beech forests (e.g., formic,

424

acetic, and oxalic acids (Tsai and Kuo, 2013)), the meteorological conditions in August

AC C

EP

417

22

ACCEPTED MANUSCRIPT (Meeningen et al., 2016) also likely caused more intensive emissions of volatile plant

426

metabolites (isoprene, monoterpenes, etc.) followed by the formation of SOA via

427

photochemistry contributing to higher amounts of highly oxygenated species within WSOC

428

(Carlton et al., 2009). On the other hand, it is known that SPE-isolated HULIS fraction has a

429

pronounced hydrophobic and neutral character, being mostly composed of aliphatic and

430

branched structures and hydroxyl groups (primarily C9–C18), while highly oxygenated

431

species, such as levoglucosan, high MW tetracarboxylic acid, glucose, and galacturonic acid

432

will not be retained by extraction methods (Zheng et al., 2013). In the Po Valley, Italy, HULIS

433

contributed the least to WSOC in summer as well, but was the most abundant class for other

434

seasons (Decesari et al., 2001).

AC C

EP

TE D

M AN U

SC

RI PT

425

23

ACCEPTED MANUSCRIPT

contribution (%)

50

a

40

coarse mode

PM mass WSOC HULIS-C

30 20

RI PT

10 0 100

accumulation mode

60 40

SC

contribution (%)

80

b

M AN U

20 0 30

c

ultrafine mode

20 15 10 5 0 winter

435

TE D

contribution (%)

25

spring

summer

autumn

Fig. 4. Seasonal variability of contributions of PM, WSOC and HULIS-C mass concentrations

437

to coarse (a), accumulation (b), and ultrafine (c) mode (% of mass per mode; reference value

438

100% is the sum of ultrafine, accumulation, and coarse mode) for one selected sample set from

439

each season (winter: 7– 14 January 2015; spring: 15–25 May 2015; summer: 10–21 August and

440

autumn: 5–11 November 2015).

AC C

EP

436

441

24

ACCEPTED MANUSCRIPT 442

4.

Summary and conclusions The present study focused on the seasonal variabilities of carbon in humic-like

444

substances (HULIS-C) in ambient size-segregated water soluble organic aerosols collected by

445

a ten-stage low-pressure Berner impactor at an urban background environment in Ljubljana,

446

Slovenia. Our long-term measurements showed strong seasonal variations of size-resolved

447

WSOC and HULIS-C. The average total PM15.6 HULIS-C concentration during winter was 1.7

448

± 1.3 µg m-3 accounting for more than 30% of WSOC and contributing the most to fine particles

449

PM0.1-1. In contrast, in autumn, more than 50% of the total WSOC represented HULIS-C (1.3 µg

450

m-3) with almost 70% in PM0.1-1. The total HULIS-C concentrations for both spring and summer

451

were similar: 0.40 µg m-3 with about 60% in PM0.1-1 and 21% in PM>2 for spring and about 44%

452

in PM0.1-1 and 26% in PM>2 in summer (with some also in the ultrafine particles).

M AN U

SC

RI PT

443

The mass size distribution patterns of PM and WSOC for all seasons were tri-modal, with

454

a predominant peak in the accumulation mode. The mass size distributions of HULIS-C and

455

WSOC were similar with nearly the same MMADs. Three modes were characteristic for all

456

seasons, except for winter where the HULIS-C size distribution was bimodal. Thus, for autumn

457

and winter, the dominant accumulation mode contributed 83 and 97%, respectively. In contrast,

458

during spring and summer the contributions of ultrafine (16 and 27%, respectively) and coarse

459

mode (27 and 16%, respectively) were also substantial, with a much lower contribution of the

460

dominant accumulation mode (ca. 57%).

AC C

EP

TE D

453

461

Primary emissions from wood burning were confirmed to be the most important source

462

of HULIS-C in the aerosol accumulation mode during the autumn and winter months. In

463

addition, due to higher RH conditions, secondary formation by heterogeneous reactions and/or

464

oligomerization through in-cloud processing also likely contributed to HULIS-C, as evidenced

465

by the shifting of MMADs to some larger sizes. The higher contribution of WSOC to TC in 25

ACCEPTED MANUSCRIPT fine particles in summer (ca. 50%) further supports enhanced secondary processing via

467

photochemistry. Moreover, the distinct difference between the spring and summer ratios of

468

HULIS-C/WSOC in fine particles (ca. 50% in spring, but only 10% in summer) implicate

469

additional sources in the summer (e.g., the more intensive emissions of volatile plant

470

metabolites followed by SOA formation via photochemistry), which did not contribute to

471

HULIS-C.

RI PT

466

The enhanced coarse mode contribution of WSOC, as well as HULIS-C, during spring

473

time emphasized that, besides soil erosion, additional primary sources may be responsible

474

(e.g., pollen and plant fragments). Alternatively, the reason for higher contributions of the

475

ultrafine mode to total HULIS-C levels, especially in summer, was most likely due to new

476

particle formation followed by growth to CCN-active sizes, a result of higher emissions of

477

BVOCs and more intensive photochemical reactions.

M AN U

SC

472

478

Acknowledgements

TE D

479

This work was supported by the European Commission and the Croatian Ministry of

481

Science, Education and Sports through Marie Curie FP7-PEOPLE-2011-COFUND, project

482

NEWFELPRO and by the Slovenian Research Agency (Contract no. P1-0034-0140). We

483

thank the Faculty of Chemistry and Chemical Technology, University of Ljubljana for the

484

permission to install the Berner impactor in the area of the faculty.

AC C

485

EP

480

486

26

ACCEPTED MANUSCRIPT References

488

Agarwal, S., Aggarval, S.G., Okuzawa, K., Kawamura, K., 2010. Size distributions of

489

dicarboxylic acids, ketoacids, α-dicarbonyls, sugars, WSOC, OC, EC and inorganic ions

490

in atmospheric particles over Northern japan: implication for long-range transport of

491

Siberian biomass burning and East Asian polluted aerosols. Atmos. Chem. Phys. 10,

492

5839-5858.

RI PT

487

Amato, F., A. Alastuey, A. Karanasiou, F. Lucarelli, S. Nava, G. Calzolai, M. Severi,

494

Becagli,S., Gianelle,V. L., Colombi,C., Alves,C., Custódio,D., Nunes,T., Cerqueira,M.,

495

Pio,C., Eleftheriadis,K., Diapouli,E., Reche,C., Minguillón,M. C., Manousakas,M.,

496

Maggos,T., Vratolis,S., Harrison,R. M., Querol,X., 2016. "AIRUSE-LIFE+: A

497

Harmonized PM Speciation and Source Apportionment in Five Southern European

498

Cities." Atmospheric Chemistry and Physics 16 (5): 3289-3309. doi:10.5194/acp-16-

499

3289-2016

M AN U

SC

493

500

Baduel, C., Voisin, D., Jaffrezo, J.-L., 2010. Seasonal variations of concentrations and optical

501

properties of water soluble HULIS collected in urban environments. Atmos. Chem.

502

Phys. 10, 4085-4095.

504 505

Carlton, A.G., Wiedinmeyer, C., Kroll, J.H., 2009. A review of secondary organic aerosol (SOA) formation from isoprene. Atmos. Chem. Phys. 9, 4987-5005.

TE D

503

Cavalli, F., Viana, M., Yttri, K. E., Genberg, J., Putaud, J.-P., 2010. Toward a standardised 506

thermal-optical protocol for measuring atmospheric organic and elemental carbon: the 507

EP

EUSAAR protocol. Atmos. Meas. Tech. 3, 79-89, doi:10.5194/amt-3-79-2010. 508

Cerasi Urban, R., Lima-Souza, M., Caetano-Silva, L., Queiroz, M. E. C., Nogueira, R. F.P., 509

Allen, A. G., Cardoso, A. A., Held, G., Campos M. L. A.M., 2012. Use of levoglucosan, 510

AC C

potassium, and water-soluble organic carbon to characterize the origins of biomass511

burning aerosols. Atmos. Environ. 61, 562-569. 512

Claeys, M.; Vermeylen, R.; Yasmeen, F.; Gómez-González, Y.; Chi, X.; Maenhaut, W.,

513

Mészáros, Salma, I., 2012. Chemical characterisation of humic-like substances from

514

urban, rural and tropical biomass burning environmnets using liquid chromatography

515

with UV/vis photodiode array detection and electrspray ionisation mass spectrometry.

516

Environ. Chem. 9, 273–284.

517

Decesari, S., Facchini, M. C., Fuzzi, S., Tagliavini, E., 2000. Characterization of water-

518

soluble organic compounds in atmospheric aerosol: A new approach. J. Geophys. Res27

ACCEPTED MANUSCRIPT 519

Atmos. 105, 1481-1489.

520

Decesari, S., Facchini, M. C., Matta, E., Lettini, F.; Mircea, M., Fuzzi, S., Tagliavini, E.,

521

Putaud, J.-P., 2001. Chemical features and seasonal variation of fine aersol water-

522

soluble organic compounds in the Po valley, Italy. Atmos. Environ. 35, 3691. Decesari, S., Fuzzi, S., Facchini, M.C., Mircea, M., Emblico, L., Cavalli, F., Maenhaut, W.,

524

Chi, X., Schkolnik, G., Falkovich, A., Rudich, Y., Claeys, M., Pashynska, V., Vas, G.,

525

Kourtchev, I., Vermeylen, R., Hoffer, A., Andreae, M.O., Tagliavini, E., Moretti, F.,

526

Artaxo, P., 2006. Characterization of the organic composition of aerosols from

527

Rondônia, Brazil, during the LBA-SMOCC 2002 experiment and its representation

528

through model compounds. Atmos. Chem. Phys. 6, 375-402.

SC

RI PT

523

Dinar, E., Taraniuk, I., Graber, E. R., Katsman, S., Moise, T., Anttila, T., Mentel, T. F.,

530

Rudich, Y., 2006.Cloud condenzation nuclei properties of model and atmospheric

531

HULIS. Atmos. Chem. Phys. 6, 2465.

M AN U

529

532

Duarte, R.M.B.O., Santos, E.B.H., Pio, C.A., Duarte, A.C., 2007. Comparison of structural

533

features of water-soluble organic matter from atmospheric aerosls with those of aquatic

534

humic substances. Atmos. Environ. 41, 8100-8113.

Duarte, R.M.B.O., Duarte, A.C, 2011. A critical review of advanced analytical techniques for

536

water-soluble organic matter from atmospheric aerosols. Trends Anal. Chem. 30, 1659-

537

1671.

TE D

535

Engling, G., Carrico, C. M., Kreidenweisa, S. M:, Collett Jr., J. L., Dayb, D. E., Malm, W. C.,

539

Lincolnc, E.,Hao, W. M.,Iinuma, Y.,Herrmann, H., 2006, Determination of

540

levoglucosan in biomass combustion aerosol by high-performance anion-exchange

541

chromatography with pulsed amperometric detection. Atmos. Environ. 40, S299-S311.

EP

538

Ervens, B., Turpin, B.J., Weber, R.J., 2011. Secondary aerosol formation in cloud droplets

543

and aqueous particles (aqSOA): a review of laboratory, field and model studies. Atmos.

544

Chem. Phys. 11, 11069-11102.

AC C

542

545

Feczko, T., Puxbaum, H., Kasper-Giebel, A., Handler, M., Limbeck, A., Gelencsér, A., Pio,

546

C., Preunkert, S., Legrand, M., 2007. Determination of water and alkaline extractable

547

atmospheric humic-like substances with the TU Vienna HULIS analyzer in samples

548

from six background sites in Europe. J. Geophys. Res. 112 (D23), D23S10,

549

doi:10.1029/2006JD008331.

550

Fors, E.O., Rissler, J., Massling, A., Svenningsson, B., Andreae, M. O., Dusek, U., Frank, G.

551

P., Hoffer, A., Bilde, M., Kiss, G., Janitsek, S., Henning, S., Facchini, M. C., Decesari, 28

ACCEPTED MANUSCRIPT 552

S., Swietlicki, E., 2010. Hygroscopic properties of Amazonian biomass burning and

553

European background HULIS and investigation of their effects on surface tension with

554

two models linking H-TDMA to CCNC data. Atmos. Chem. Phys. 10, 5625-5639.

555

Graber, E. R., Rudich, Y., 2006. Atmospheric HULIS: How humic-like are they? A

556

comprehensive and critical review. Atmos. Chem. Phys. 6, 729-753. Hallquist, M., Wenger, J.C., Baltensperger, U., Rudich, Y., Simpson, D., Claeys, M.,

558

Dommen, J., Donahue, N.M., George, C., Goldstein, A.H., Hamilton, J.F., Herrmann,

559

H., Hoffmann, T., Iinuma, Y., Jang, M., Jenkin, M.E., Jimenez, J.L., Kiendler-Scharr,

560

A., Maenhaut, W., McFiggans, G., Mentel, Th.F., Monod, A., Prévôt, A.S.H., Seinfeld,

561

J.H., Surrattt, J.D., Szmigielski, R., Wildt, J., 2009. The formation, properties and

562

impact of secondary organic aerosol: current and emerging issues. Atmos. Chem. Phys.

563

9, 5155-5236.

SC

RI PT

557

Hitzenberger, R., Ctyroky, P., Berner, A., Turšič, J., Podkrajšek, B., Grgić, I., 2006. Size

565

distribution of black (BC) and total carbon (TC) in Vienna and Ljubljana. Chemosphere

566

65, 2106-2113.

M AN U

564

Huang, W., Long,E., Wang, J., Huang, R., Ma, L., 2015. Characterising spatial distribution

568

and temporal variation of PM10 and PM2.5 mass concentrations in an urban area of

569

Southwest China. Atmos. Pollut. Res. 6, 842-848.

570 571

TE D

567

Hussain, M., Madl, P., & Khan, A., 2011. Lung deposition predictions of airborne particles and the emergence of contemporary diseases Part-I. The Health. 2, 51-59. Irei, S., Takami, A., Hayashi, M., Sadanaga, Y., Hara, K., Kaneyasu, N., Sato, K., Arakaki,

573

T., Hatakeyama, S., Bandow, H., Hikida, T., Shimono, A., 2014. Transboundary

574

Secondary Organic Aerosol in Western Japan Indicated by the δ13C of Water-Soluble

575

Organic Carbon and the m/z 44 Signal in Organic Aerosol Mass Spectra. Environ. Sci.

576

Technol. 48, 6273–6281.

578 579 580

AC C

577

EP

572

Jaenicke, R., 2005. Abundance of cellular material and proteins in the atmosphere, Science 308, 73.

John, W., Wall, S. M., Ondo, J. L., Winklmayr, W., 1990. Modes in the size distributions of atmospheric inorganic aerosol, Atmos. Environ. A-Gen. 24, 2349-2359.

581

Kanakidou, M., Seinfeld, J. H., Pandis, S. N., Barnes, I., Dentener, F. J., Facchini, M. C., Van

582

Dingenen, R., Ervens, B., Nenes, A., Nielsen, C. J., Swietlicki, E., Putaud, J. P.,

583

Balkanski, Y., Fuzzi, S., Horth, J., Moortgat, G. K., Winterhalter, R., Myhre, C. E. L.,

584

Tsigaridis, K., Vignati, E., Stephanou, E. G., Wilson, J., 2005. Organic aerosol and 29

ACCEPTED MANUSCRIPT 585

global climate modelling: a review. Atmos. Chem. Phys. 5, 1053–1123.

586

Kiss, G., Varga, B., Galambos, I., Ganszky, I., 2002. Characterization of water-soluble

587

organic matter isolated from atmospheric fine aerosol. J. Geophys. Res. 107 (D21),

588

8339, http://dx.doi.org/10.1029/2001JD000603.

590 591 592

Laskin, A., Laskin, J., Nizkorodov, A.A., 2015. Chemistry of atmospheric brown carbon. Chem. Rev. 115, 4335-4382.

RI PT

589

Lin, P., Huang X.-F., He, L.-Y., Yu, J.Z., 2010. Abundance and size distribution of HULIS in ambient aerosols at a rural site in South China. J. Aerosol Sci. 41, 74-87.

Lin, Y.-H., Zhang, H., Pye, H. O. T., Zhang, Z., Marth, W. J., Park, S., et al., 2013. Epoxide

594

as a precursor of secondary organic aerosol formation from isoprene photooxidation in

595

the presence of nitrogen oxides. Proc. Natl. Acad. Sci. 110 (17), 6718-6723.

SC

593

Liu, L.Q., Breitner, S., Schneider, A., Cyrys, J., Br. Sci. 110Acad. Sci. 110dation in Marian

597

Leitte, A., Herbarth, O., Wiedensohler, A., Wehne, B., Pan, X.C., Wichmann, H.E.,

598

Peters, A., 2013. Size-fractioned particulate air pollution and cardiovascular emergency

599

room visits in Beijing, China. Environ. Res. 121, 52-63.

M AN U

596

Meeningen van, Y., Schurgers, G., Rinnan R., Holst, T., 2016. BVOC emissions from English

601

oak (Quercus robur) and European beech (Fogus sylvatica) along a latitudinal gradient.

602

Biogeosciences 13, 6067-6080.

603 604

TE D

600

Meng, Z. Y., Seinfeld, J. H., 1994. On the source of the submicrometer droplet mode of urban and regional aerosols. Aerosol Sci. Tech. 20, 253-265. Morawska, L., Ristovski, Z., Jayaratne, E.R., Keogh, D.U., Ling, X., 2008. Ambient nano and

606

ultrafine particles from motor vehicle emissions: characteristics, ambient processing and

607

implications on human exposure. Atmos. Environ. 42, 8113-8138.

EP

605

Nguyen, T.B., Lee, P.B., Updyke, K.M., Bones, D.L., Laskin, J., Laskin, A., Nizkorodov,

609

S.A., 2012, Formation of nitrogen- and sulfur-containing light-absorbingcompounds

610

accelerated by evaporation of water from secondary organic aerosols J. Geophys. Res:

611

Atmos. 117, D01207.

AC C

608

612

Padró, L. T., Tkacik, D., Lathem, T., Hennigan, C. J., Sullivan, A. P., Weber, R. J., Huey, L.

613

G., Nenes, A. J., 2010. Investigation of cloud condensation nuclei properties and droplet

614

growth kinetics of the water-soluble aerosol fraction in Mexico City. J. Geophys. Res.

615

115, D09204.

616

Pavlovic, J., Hopke, P.K., 2012. Chemical nature and molecular weight distribution of the

617

water-soluble fine and ultrafine PM fractions collected in a rural environment. Atmos. 30

ACCEPTED MANUSCRIPT 618

Environ. 59, 264-271.

619

Pio, C.A., Legrand, M., Oliveira, T., Afonso, J., Santos, C., Caseiro, A., Fialho, P., Barata, F.,

620

Puxbaum, H., Sanchez-Ochoa, A., Kasper-Giebel, A., Gelencsér, A., Preunkert, S.,

621

Schock, M., 2007. Climatology of aerosol composition (organic versus inorganic) at

622

nonurban sites on a west-east transect across Europe. J. Geophys. Res. 112, D23502. Poulain, L., Iinuma, Y., Mueller, K., Birmili, W., Weinhold, K., Brueggemann, E., Gnauk, T.,

624

Hausmann, A., Loeschau, G., Wiedensohler, A., Herrmann, H., 2011. Diurnal variations

625

of ambient particulate wood burning emissions and their contribution to the

626

concentration of Polycylic Aromatic Hydrocarbons (PAHs) in Seiffen, Germany.

627

Atmos. Chem. Phys. 11, 12697-12713.

630

SC

629

Pöschl, U., 2005. Atmospheric aerosols: composition, transformation, climate and health effects. Angew. Chem. Int. Edit. 44, 7520-7540. Pöschl,

U.,

and

Manabu

Shiraiwa,

M.,

2015.

Multiphase

M AN U

628

RI PT

623

Chemistry

at

the

631

Atmosphere−Biosphere Interface Influencing Climate and Public Health in the

632

Anthropocene. Chem. Rev. 115, 4440-4475.

633 634

Ravishankara, A. R., Rudich, Y., Wuebbles D. J. 2015. Physical Chemistry of Climate Metrics. Chem. Rev. 115, 3682-3703.

Salma I., Ocskay, R., Varga, I., Maenhaut, W., 2006. Surface tension of atmospheric humic-

636

like substances in connection with relaxation, dilution, and solution pH. J. Geophys.

637

Res., 111, D23205.

TE D

635

Salma, I., Ocskay, R., Chi, X., Maenhaut, W., 2007. Sampling artefacts, concentration and

639

chemical composition of fine water-soluble organic carbon and humic-like substances in

640

a continental urban atmospheric environment. Atmos. Environ. 41, 4106-4188.

642 643 644

Salma, I., Ocskay, R., Láng, G.G., 2008. Properties of atmospheric humic-like substances. Atmos. Chem. Phys. 8, 2243-2254.

AC C

641

EP

638

Salma, I., Mészáros, T., Maenhaut, W., Vass, E., Majer, Z., 2010. Chirality and the origin of atmospheric humic-like substances. Atmos. Chem. Phys. 10, 1315-1327.

645

Salma, I., Mészáros, T., Maenhaut, W., 2013. Mass size distribution of carbon in atmospheric

646

humic-like substances and water soluble organic carbon for an urban environment. J.

647

Aerosol Sci. 56, 53-60.

648

Samburova, V., Didenko, T., Kunenkov, E., Emmenegger, C., Zenobi, R., and Kalberer, M.,

649

2007. Functional group analysis of high molecular weight compounds in the water-

650

soluble fraction of organic aerosols, Atmos. Environ. 41, 4703–4710. 31

ACCEPTED MANUSCRIPT 651

Sandrini, S., van Pinxteren, D., Giulianelli, L., Herrmann, H., Poulain, L., Facchini, M.C.,

652

Gilardoni, S., Rinaldi, M., Paglione, M., Turpin, B.J., Pollini, F., Bucci, S., Zanca, N.,

653

Decessari, S., 2016. Sitze-resolved aerosol composition at an urban and a rural site in

654

the Po Valley in summertime: implications for secondary aerosol formation. Atmos.

655

Chem. Phys. 16, 10879-10897.

657

Seinfeld, J.H., Pandis, S.N., 2016. Atmospheric Chemistry and Physics: From air Pollution to

RI PT

656

Climate Change. John Wiley & Sons, Inc., Hoboken, New Jersey.

Simoneit, B.R.T., Schauer, J.J., Nolte, C.G., Oros, D.R., Elias, V.O:, Fraser, M.P., Rogge,

659

W.F., Cass, G.R., 1999. Levoglucosan, a tracer for cellulose in biomass burning and

660

atmospheric particles. Atmos. Environ. 33, 173-182.

SC

658

Song, J., He, L., Peng, P., Zhao, J., Ma, S., 2012. Chemical and Isotopic Composition of

662

Humic-Like Substances (HULIS) in Ambient Aerosols in Guangzhou, South China.

663

Aerosol Sci. Technol. 46, 533–546.

M AN U

661

664

Timonen, H., Saarikoski, S., Tolonen-Kivimäki, O., Aurela, M., Saarnio, K., Petäjä, T., Aalto,

665

P.P., Kulmala, M., Pakkanen, T., Hillamo, R., 2008. Size distributions, sources and

666

source areas of water-soluble organic carbon in urban background air. Atmos. Chem.

667

Phys. 8, 5635-5647.

Tsai, Y.I., Kuo, S.-C., 2013. Contributions of low molecular weight carboxylic acids to

669

aerosols and wet deposition in a natural subtropical broad-leaved forest environment.

670

Atmos. Environ. 81, 270-279.

TE D

668

Urban, R.C., Lima-Souza, M., Caetano-Silva, L., Queiroz, M.E.C., Nogueira, R.F.P., Allen,

672

A.G., Cardoso, A.A., Held, G., 2012. Use of levoglucosan, potassium, and water-

673

soluble organic carbon to characterize the origins of biomass-burning aerosols. Atmos.

674

Environ. 61, 562-569.

EP

671

Yttri, K.E., Aas,W., Bjerke, A., Cape, J.N., Cavalli, F., Ceburnis, D., Dye, C., Emblico, L.,

676

Facchini, M.C., Forster, C., Hanssen, J.E., Hansson, H.C., Jennings, S.G.,Maenhaut,

677

W., Putaud, J.P., Tørseth, K., 2007. Elemental and organic carbon in PM10: a one year

678

measurements campaign within the European Monitoring and Evaluation Programme

679

EMEP. Atmos. Chem. Phys. 7, 5711-5725.

680 681

AC C

675

Wolfenbarger, J.K., Seinfeld, J.K., 1990. Inversion of aerosol size distribution data. J. Aerosol Sci. 21, 227–247.

682

Yu, H., Ortega, J., Smith, J. N., Guenther, A. B., Kanawade, V. P., You, Y., Liu, Y., Hosman,

683

K., Karl, T., Seco, R., Geron, C., Pallardy, S. G., Gu, L., Mikkilä, J., Lee, S.-H., 2014. 32

ACCEPTED MANUSCRIPT 684

New particle formation and growth in an isoprene-dominated Ozark forest: From sub-5

685

nm to CCN-active sizes. Aerosl Sci. Techn. 48, 1285-1298.

686

Zhang, X., Lin, Y.-H., Surratt, J.D., Weber, R.J., 2013. Sources, composition and absorption

687

Ångström exponent of light-absorbing organic components in aerosol extracts from the

688

Los Angeles Basin. Environ. Sci. Technol. 47, 3685-3693

690

Zheng, G., He, K., Duan, F., Cheng, Y., Ma, Y., 2013. Measurements of humic-like

RI PT

689

substances in aerosols: A review. Environ. Pollut. 181, 301-314.

Ziese, M., Wex, H., Nilsson, E., Salma, I., Ocskay, R., Henning, T., Massling, A., Stratmann,

692

F., 2008. Hygroscopic growth and activation of HULIS particles: experimental data and

693

a new iterative parametrization scheme for complex aerosol partices. Atmos. Chem.

694

Phys. 8, 1855-1866.

SC

691

Zwozdiak, A., Gini, M., Samek, L., Rogula-Kozlowska, W., Sowka, I., Eleftheriadis, K.,

696

2017. Implications of the aerosol size distribution modal structure of trace and major

697

elements on human exposure, inhaled dose and relevance to the PM2.5 and PM10 metrics

698

in a European pollution hotspot urban area. J. Aerosol Sci. 103, 38-52.

M AN U

695

AC C

EP

TE D

699

33

ACCEPTED MANUSCRIPT Highlights

RI PT

SC M AN U TE D EP

• • • •

Long-term measurements of water soluble HULIS carbon (HULIS-C) in ambient aerosols. Strong seasonal variability of size-resolved WSOC and HULIS-C. Except for winter, mass size distributions of HULIS-C were tri-modal. Main contribution to accumulation mode from wood burning in winter-autumn. Substantial contribution of ultrafine and coarse modes to HULIS-C in spring-summer.

AC C