Characteristics of the water-soluble components of aerosol particles in Hefei, China

Deng, Xiaodong; Shi, Chong; Wu, Buyun; Yang, Yuanjian; Jin, Qi; Wang, Honglei; Zhu, Song; Yu, Chao

doi:10.1016/j.jes.2015.07.010

Cited by 55 publications

(23 citation statements)

References 37 publications

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“…This finding is consistent with the previous study of ionic composition in precipitation from the central Himalayas, Nepal [23]. versus mobile (vehicular emissions) sources of sulfur and nitrogen in the atmosphere [27,[38][39][40].…”

Section: Principal Component Analysis (Pca)supporting

confidence: 93%

“…Average nitrate to sulfate ratio in Pokhara was found to be 0.69 which indicates the dominance of stationary sources, which is lower than the ratio observed over Chinese cities like Hefei (1.10) [38] and comparable with a megacity like Beijing (0.71) [42] indicating the dominance of stationary source of pollution in these regions. Moreover, this ratio indicates the influence of sulfuric acid, reflecting the contribution of acidity in the atmosphere.…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 61%

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Water-Soluble Ionic Composition of Aerosols at Urban Location in the Foothills of Himalaya, Pokhara Valley, Nepal

et al. 2016

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Abstract:The total suspended particulate (TSP) samples were collected from April 2013 to April 2014 at the urban location of Pokhara valley in western Nepal. The major aims were to study, quantify, and understand the concentrations and variations of TSP and major water-soluble inorganic ions (WSIIs) in the valley with limited data. The annual average TSP mass concentration was 135.50˘62.91 µg/m 3 . The average analyzed total WSIIs accounted for 14.4% of total TSP mass. Major anions and cations in TSP samples were SO 4 2´a nd Ca 2+ , respectively. Seasonal differences in atmospheric conditions explain the clear seasonal variations of ions, with higher concentrations during pre-monsoon and winter and lower concentrations during the monsoon period. Neutralization factor calculations suggested that Ca 2+ in the Pokhara valley mostly neutralizes the acidity in the atmosphere. Principle component analysis, NO 3´/ SO 4 2´r atio, and non-sea salt fraction calculations suggested that the WSIIs in the valley were mostly derived from anthropogenic activities and crustal mineral dust, which was also supported by the results from precipitation chemistry over the central Himalayas, Nepal. In addition, back trajectories analysis has suggested that the air pollution transported from and through Indo-Gangetic Plains (IGP) during the dry periods, which has resulted in high ionic loadings during this period. Average NO 3´/ SO 4 2´r atio was found to be 0.69, indicating the dominance of stationary sources of TSP in Pokhara valley. Secondary inorganic aerosols can have an adverse health impact on the human population in the valley. The data set from this one-year study provides new insights into the composition of WSIIs in the foothills of the Himalayas, which can be of great importance for understanding the atmospheric environment in the region.

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Section: Principal Component Analysis (Pca)supporting

confidence: 93%

Section: Principal Component Analysis (Pca)mentioning

confidence: 61%

Water-Soluble Ionic Composition of Aerosols at Urban Location in the Foothills of Himalaya, Pokhara Valley, Nepal

et al. 2016

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“…, and ) in inland China are only available at one EANET site (the Hongwen site). In order to make the evaluation of the model performance more credible, observed monthly/seasonal/yearly BC, , , and PM 2.5 concentrations at several Chinese stations (five stations for BC, thirteen stations for , and , and twenty-two stations for PM 2.5 ) are collected from published documents (Chen et al, 2012;Li, 2012b;Liu, 2012;Meng et al, 2012;Shao, 2012;Wang et al, 2012a;Xu, 2012;Xie et al, 2013;Yu, 2013;Zhao et al, 2013;Tao et al, 2014;Wang, 2014a;Li, 2015;Sun et al, 2015;Wang et al, 2015;Zhang, 2015b;Lai et al, 2016;Li et al, 2016a;Wang et al, 2016b;Deng et al, 2016;Yao et al, 2016).…”

Section: Observation Datamentioning

confidence: 99%

MICS-Asia III: Multi-model comparison and evaluation of aerosol over East Asia

Chen¹,

Gao²,

Zhang³

et al. 2019

Preprint

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Abstract. Fourteen chemical transport models (CTMs) participate in the MICS&#8211;Asia Phase III Topic 1. Their simulation results are compared with each other and with an extensive set of measurements, aiming to evaluate the current multi&#8211;scale air quality models&#8217; ability in simulating aerosol species and to document similarities and differences among model performances, also to reveal the characteristics of aerosol chemical components over big cities in East Asia. In general, all participant models can reproduce the spatial distribution and seasonal variability of aerosol concentrations in the year 2010, and multi&#8211;model ensemble mean (EM) shows better performance than most individual models, with Rs ranging from 0.65 (NO3&#8722;) to 0.83 (PM2.5). Underestimations of BC (NMB&#8201;=&#8201;&#8722;17.0&#8201;%), SO42&#8722; (NMB&#8201;=&#8201;&#8722;19.1&#8201;%) and PM10 (NMB&#8201;=&#8201;&#8722;32.6&#8201;%) are simulated by EM, but positive biases are shown in NO3&#8722; (NMB&#8201;=&#8201;4.9&#8201;%), NH4+ (NMB&#8201;=&#8201;14.0&#8201;%) and PM2.5 (NMB&#8201;=&#8201;4.4&#8201;%). Simulation results of BC, OC, SO42&#8722;, NO3&#8722; and NH4+ among CTMs are in good agreements, especially over polluted areas, such as the eastern China and the northern part of India. But large coefficients of variations (CV&#8201;>&#8201;1.5) are also calculated over arid and semi&#8211;arid regions. This poor consistency among CTMs may attribute to their different processing capacities for dust aerosols. According to the simulation results in the six Asian cities from EM, different air&#8211;pollution control plans should be made due to their different major air pollutants in different seasons. Although a more considerable capacity for reproducing the concentrations of aerosol chemical compositions and their variation tendencies is shown in current CTMs by comparing statistics (e.g. RMSE and R) between MICS&#8211;Asia Phase II and Phase III, detailed process analysis and a fully understanding of the source&#8211;receptor relationship in each process may be helpful to explain and to reduce large diversities of simulated aerosol concentrations among CTMs, and these may be the potential development directions for future modeling studies in East Asia.

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“…In general, SO 4 2− is formed by the gas-phase photochemical conversion of SO 2 , mainly from fossil fuel combustion. NO 3 − is mainly formed via the conversion of NO and NO 2 , which are mainly from automobile and industrial emissions [47]. The high molar ratio of NO 3…”

Section: Correlation Of Weather Conditions and Air Qualitymentioning

confidence: 99%

Seasonal Control of Water-Soluble Inorganic Ions in PM2.5 from Nanning, a Subtropical Monsoon Climate City in Southwestern China

et al. 2019

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In this study, we measured the daily water-soluble inorganic ions (WSIIs) concentration (including SO42−, NO3−, NH4+, Ca2+, K+, Cl−, Na+, Mg2+, and F−) of PM2.5 (particulate matter with a diameter smaller than 2.5 μm) throughout the year in Nanning (a typical subtropical monsoon climate city in southwestern China) to explore the influence of seasonal climate change on the properties of PM2.5 pollution. This suggested that SO42−, NO3−, and NH4+ were the main component of WSIIs in Nanning. Secondary inorganic ions from fossil fuel combustion, agricultural activities, and automobile emissions were the main contributors to PM2.5, contributing more than 60% to PM2.5. Compared with the wet season, the contributions of different sources increased in the dry season (including pollution days); of these sources, automobile emissions and coal combustion emissions increased the most (about nine times and seven times, respectively). Seasonal weather and climate change affected the concentration level of WSIIs. During the wet season, higher temperatures and abundant rainfalls contributed to the volatilization and removal of WSIIs in PM2.5, while in the dry season and on pollution days, lower temperatures and less precipitation, higher emissions, and poor diffusion conditions contributed to the accumulation of WSIIs in PM2.5. NH4HSO4, (NH4)2SO4 and NH4NO3 were the main chemical forms of secondary inorganic ions. Sufficient NH3, intense solar radiation, and moist particulate matter surface promoted the formation of secondary inorganic ions. The higher temperature contributed to the volatilization of secondary inorganic ions.

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Characteristics of the water-soluble components of aerosol particles in Hefei, China

Cited by 55 publications

References 37 publications

Water-Soluble Ionic Composition of Aerosols at Urban Location in the Foothills of Himalaya, Pokhara Valley, Nepal

Water-Soluble Ionic Composition of Aerosols at Urban Location in the Foothills of Himalaya, Pokhara Valley, Nepal

MICS-Asia III: Multi-model comparison and evaluation of aerosol over East Asia

Seasonal Control of Water-Soluble Inorganic Ions in PM2.5 from Nanning, a Subtropical Monsoon Climate City in Southwestern China

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