Fine-particle water and pH in the southeastern United States

被引:427
作者
Guo, H. [1 ]
Xu, L. [2 ]
Bougiatioti, A. [2 ,8 ]
Cerully, K. M. [2 ]
Capps, S. L. [4 ]
Hite, J. R., Jr. [1 ]
Carlton, A. G. [5 ]
Lee, S. -H. [6 ]
Bergin, M. H. [1 ,3 ]
Ng, N. L. [1 ,2 ]
Nenes, A. [1 ,2 ,7 ]
Weber, R. J. [1 ]
机构
[1] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Sch Chem & Biomol Engn, Atlanta, GA 30332 USA
[3] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA
[4] US EPA, Off Res & Dev, Res Triangle Pk, NC 27711 USA
[5] Rutgers State Univ, Dept Environm Sci, New Brunswick, NJ 08903 USA
[6] Kent State Univ, Coll Publ Hlth, Kent, OH 44242 USA
[7] Fdn Res & Technol, Hellas, Greece
[8] Natl Tech Univ Athens, Athens, Greece
基金
美国国家科学基金会;
关键词
SECONDARY ORGANIC AEROSOL; LIQUID PHASE-SEPARATION; THERMODYNAMIC-EQUILIBRIUM MODEL; ATMOSPHERIC PARTICLES; HYGROSCOPIC GROWTH; AMMONIUM-SULFATE; ALPHA-PINENE; MINERAL DUST; ACIDITY; CARBON;
D O I
10.5194/acp-15-5211-2015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particle water and pH are predicted using meteorological observations (relative humidity (RH), temperature (T)), gas/particle composition, and thermodynamic modeling (ISORROPIA-II). A comprehensive uncertainty analysis is included, and the model is validated. We investigate mass concentrations of particle water and related particle pH for ambient fine-mode aerosols sampled in a relatively remote Alabama forest during the Southern Oxidant and Aerosol Study (SOAS) in summer and at various sites in the southeastern US during different seasons, as part of the Southeastern Center for Air Pollution and Epidemiology (SCAPE) study. Particle water and pH are closely linked; pH is a measure of the particle H+ aqueous concentration and depends on both the presence of ions and amount of particle liquid water. Levels of particle water, in turn, are determined through water uptake by both the ionic species and organic compounds. Thermodynamic calculations based on measured ion concentrations can predict both pH and liquid water but may be biased since contributions of organic species to liquid water are not considered. In this study, contributions of both the inorganic and organic fractions to aerosol liquid water were considered, and predictions were in good agreement with measured liquid water based on differences in ambient and dry light scattering coefficients (prediction vs. measurement: slope = 0.91, intercept = 0.5 mu gm(-3), R-2 = 0.75). ISORROPIA-II predictions were confirmed by good agreement between predicted and measured ammonia concentrations (slope = 1.07, intercept = -0.12 mu gm(-3), R-2 = 0.76). Based on this study, organic species on average contributed 35% to the total water, with a substantially higher contribution (50 %) at night. However, not including contributions of organic water had a minor effect on pH (changes pH by 0.15 to 0.23 units), suggesting that predicted pH without consideration of organic water could be sufficient for the purposes of aqueous secondary organic aerosol (SOA) chemistry. The mean pH predicted in the Alabama forest (SOAS) was 0.94 +/- 0.59 (median 0.93). pH diurnal trends followed liquid water and were driven mainly by variability in RH; during SOAS nighttime pH was near 1.5, while daytime pH was near 0.5. pH ranged from 0.5 to 2 in summer and 1 to 3 in the winter at other sites. The systematically low pH levels in the southeast may have important ramifications, such as significantly influencing acid-catalyzed reactions, gas-aerosol partitioning, and mobilization of redox metals and minerals. Particle ion balances or molar ratios, often used to infer pH, do not consider the dissociation state of individual ions or particle liquid water levels and do not correlate with particle pH.
引用
收藏
页码:5211 / 5228
页数:18
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