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Nazneen, Patra AK, Kolluru SSR, Penchala A, Kumar S, Mishra N, Sree NB, Santra S, Dubey R. Assessment of seasonal variability of PM, BC and UFP levels at a highway toll stations and their associated health risks. ENVIRONMENTAL RESEARCH 2024; 245:118028. [PMID: 38160974 DOI: 10.1016/j.envres.2023.118028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/15/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
As a part of their occupation, workers at toll stations are exposed to traffic emissions during the working shift, which sometimes stretches to 12 h. To assess the exposure and subsequent health risk of these workers, a study was performed on a highway toll station in India. PM1, PM2.5, PM10, BC and UFP concentration were determined inside a toll collectors' cabin and outside in a free-flowing traffic section (125 m from the toll cabin). The concentrations varied in the following range: PM1 (40.69-226.13 μg m-3), PM2.5 (49.71-247.36 μg m-3), PM10 (83.15-458.14 μg m-3) and BC (2.1-87.5 μg m-3) and UFP: 101-53705 pt cm-3. The mean concentration inside the cabin was 1.34 (PM1), 1.35 (PM2.5), 1.16 (PM10) and 2.91 (BC) times the concentration outside for the summer season. The corresponding levels in the winter season were 1.14 (PM1), 1.11 (PM2.5), 1.11 (PM10), 2.50 (BC) and 1.82 (UFP). In addition to the exhaust emission, the non-exhaust emissions such as resuspension of crustal particles, fly ash and bioaerosols were identified. Using the Multiple Path Particle Dosimetry model for two groups - adults (18-21 years) and adults (21+ years), it was estimated that the pulmonary deposition of in-cabin workers were 50% (PM2.5) -75% (PM1) higher than the workers outside the cabin. Particle mass deposition was found to be higher for adults (21+ years) than adults (18-21 years) for both the seasons. The study quantitatively assessed the health risk faced by the workers in terms of exposure concentration and deposition in respiratory tract. More such studies at different traffic mix and climate can provide better estimates of health risk of toll workers that can be used to devise appropriate strategies for control of it.
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Affiliation(s)
- Nazneen
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Aditya Kumar Patra
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India.
| | - Soma Sekhara Rao Kolluru
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Abhishek Penchala
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India
| | - Sachidanand Kumar
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India
| | - Namrata Mishra
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Naragam Bhanu Sree
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Samrat Santra
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Ravish Dubey
- Yale School of Environment, Yale University, USA
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Kaur P, Dhar P, Bansal O, Singh D, Guha A. Temporal variability, meteorological influences, and long-range transport of atmospheric aerosols over two contrasting environments Agartala and Patiala in India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:102687-102707. [PMID: 37668783 DOI: 10.1007/s11356-023-29580-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 08/25/2023] [Indexed: 09/06/2023]
Abstract
The present study focused on the temporal variability, meteorological influences, potential sources, and long-range transport of atmospheric aerosols over two contrasting environments during 2011-2013. We have chosen Agartala (AGR) city in Northeast India as one of our sites representing the rural-continental environment and Patiala (PTA) as an urban site in Northwest India. The seasonal averaged equivalent black carbon (eBC) concentration in AGR ranges from 1.55 to 38.11 µg/m3 with an average value of 9.87 ± 8.17 µg/m3, whereas, at an urban location, PTA value ranges from 1.30 to 15.57 µg/m3 with an average value of 7.83 ± 3.51 µg/m3. The annual average eBC concentration over AGR was observed to be ~ 3 times higher than PTA. Two diurnal peaks (morning and evening) in eBC have been observed at both sites but were observed to be more prominent at AGR than at PTA. Spectral aerosol optical depth (AOD) has been observed to be in the range from 0.33 ± 0.09 (post-monsoon) to 0.85 ± 0.22 (winter) at AGR and 0.47 ± 0.04 (pre-monsoon) to 0.74 ± 0.09 (post-monsoon) at PTA. The concentration of eBC and its diurnal and seasonal variation indicates the primary sources of eBC as local sources, synoptic meteorology, planetary boundary layer (PBL) dynamics, and distant transportation of aerosols. The wintertime higher values of eBC at AGR than at PTA are linked with the transportation of eBC from the Indo-Gangetic Plain (IGP). Furthermore, it is evident that eBC aerosols are transported from local and regional sources, which is supported by concentration-weighted trajectory (CWT) analysis results.
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Affiliation(s)
- Parminder Kaur
- Department of Physics, Tripura University, West Tripura, Agartala, 799022, Tripura, India
| | - Pranab Dhar
- Department of Physics, Tripura University, West Tripura, Agartala, 799022, Tripura, India
| | - Onam Bansal
- Department of Civil Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh, India
| | - Darshan Singh
- Department of Physics, Punjabi University, Patiala, Punjab, India
| | - Anirban Guha
- Department of Physics, Tripura University, West Tripura, Agartala, 799022, Tripura, India.
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Bhat MA, Romshoo SA, Beig G. Characteristics, source apportionment and long-range transport of black carbon at a high-altitude urban centre in the Kashmir valley, North-western Himalaya. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 305:119295. [PMID: 35439603 DOI: 10.1016/j.envpol.2022.119295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/22/2022] [Accepted: 04/10/2022] [Indexed: 06/14/2023]
Abstract
Six years of data (2012-2017) at an urban site-Srinagar in the Northwest Himalaya were used to investigate temporal variability, meteorological influences, source apportionment and potential source regions of BC. The daily BC concentration varies from 0.56 to 40.16 μg/m3 with an inter-annual variation of 4.20-7.04 μg/m3 and is higher than majority of the Himalayan urban locations. High mean annual BC concentration (6.06 μg/m3) is attributed to the high BC observations during winter (8.60 μg/m3) and autumn (8.31 μg/m3) with a major contribution from Nov (13.88 μg/m3) to Dec (13.4 μg/m3). A considerable inter-month and inter-seasonal BC variability was observed owing to the large changes in synoptic meteorology. Low BC concentrations were observed in spring and summer (3.14 μg/m3 and 3.21 μg/m3), corresponding to high minimum temperatures (6.6 °C and 15.7 °C), wind speed (2.4 and 1.6 m/s), ventilation coefficient (2262 and 2616 m2/s), precipitation (316.7 mm and 173.3 mm) and low relative humidity (68% and 62%). However, during late autumn and winter, frequent temperature inversions, shallow PBL (173-1042 m), stagnant and dry weather conditions cause BC to accumulate in the valley. Through the observation period, two predominant diurnal BC peaks were observed at ⁓9:00 h (7.75 μg/m3) and ⁓21:00 h (6.67 μg/m3). Morning peak concentration in autumn (11.28 μg/m3) is ⁓2-2.5 times greater than spring (4.32 μg/m3) and summer (5.23 μg/m3), owing to the emission source peaks and diurnal boundary layer height. Diurnal BC concentration during autumn and winter is 65% and 60% higher than spring and summer respectively. During autumn and winter, biomass burning contributes approximately 50% of the BC concentration compared to only 10% during the summer. Air masses transport considerable BC from the Middle East and northern portions of South Asia, especially the Indo-Gangetic Plains, to Srinagar, with serious consequences for climate, human health, and the environment.
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Affiliation(s)
| | - Shakil Ahmad Romshoo
- Department of Geoinformatics, University of Kashmir, Srinagar, India; Islamic University of Science and Technology (IUST), Awantipora, Kashmir, India.
| | - Gufran Beig
- Indian Institute of Tropical Meteorology (IITM), Pune, India; National Institute of Advanced Studies (NIAS), Indian Institute of Science (IISc) Campus, Bengaluru, India
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Variations of Black Carbon Concentrations in Two Sites in Mexico: A High-Altitude National Park and a Semi-Urban Site. ATMOSPHERE 2022. [DOI: 10.3390/atmos13020216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Black carbon (BC), a component of carbonaceous material, has an important role in the environment, and it is considered a short-lived climate forcer that plays a vital role in the global climate system. BC concentrations were analyzed during 2017 in two sites in Mexico, Juriquilla and Altzomoni, which have different emission sources and atmospheric dynamics. The annual average BC concentrations in 2017 were 0.84 ± 0.70 and 0.58 ± 0.37 µg m−3 for Juriquilla and Altzomoni, respectively. The principal contributors for the highest BC concentration in Juriquilla were anthropogenic sources, while pollutants transport from nearby cities was more important for Altzomoni. Comparison between this analysis and previous reports from 2015 for both sampling sites demonstrated an increase in BC concentration. Results of this study could contribute to a better understanding of BC effects under different emission conditions and provide a scientific reference for developing BC reduction strategies over Mexico.
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Singh S, Gokhale S. Effect of COVID-19 epidemic-led lockdowns on aerosol black carbon concentration, sources and its radiation effect in northeast India. JOURNAL OF EARTH SYSTEM SCIENCE 2022; 131:139. [PMCID: PMC9166673 DOI: 10.1007/s12040-022-01883-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 06/02/2023]
Abstract
Abstract The COVID-19 epidemic-led lockdown (LD) from March 25 to May 31, 2020, had a different level of impact on air quality in the ecologically sensitive region of northeast India, even though the restriction on main anthropogenic activities was expected to reduce particulate matter concentration. The daily average black carbon concentration measured at 880 nm (BC880) was 1.5–15.6 μg m−3 (mean: 5.75±4.24 μg m−3) during the measurement period. It was 9.29±4.11 μg m−3 during pre-LD (February 12–March 21), 4.70±0.95 μg m−3 during LD1 (March 25–April 14), 3.41±0.56 μg m−3 during LD2 (April 15–May 3), 3.69±1.50 μg m−3 during LD3 (May 4–17), 2.94±0.93 μg m−3 during LD4 (May 18–31), and 6.56±5.35 μg m−3 during the Post-LD (June 6–July 3) of 2020. It decreased up to 68% during the lockdowns. The source apportionment based on an improved method showed a significant improvement in the contribution of BC880 sources. The radiation effect determined by Angstrom Absorption Exponent showed that brown carbon accounted for 25% of the aerosol light absorption at 370 nm during the lockdown period. Relative humidity correlates substantially with BC880, while rainfall, temperature, and solar radiation were negatively correlated. The bivariate analysis showed the dominance of local emissions in the BC880 concentrations. Research highlights Black carbon concentration decreased up to 68% during the different phases of lockdown. BC associated with fossil fuel was 51–78%, and biomass burning was 22–49%. The fraction of fossil fuel and biomass burning in whole BC fallen to 0.73 and 0.65 during the lockdowns. Air quality improved by about 47–58% on the 4th and 7th day of lockdown. Brown carbon and meteorological parameters significantly impacted aerosol light absorption in this region.
Supplementary Information The online version contains supplementary material available at 10.1007/s12040-022-01883-4.
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Affiliation(s)
- Sameer Singh
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - Sharad Gokhale
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, 781 039 India
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Wang X, Guo Y, Cai M, Qian ZM, Zhang S, Zhang Z, Yang Y, Vaughn MG, Aaron HE, Wu F, Zhang Y, Lin H. Constituents of fine particulate matter and asthma in six low- and middle-income countries. J Allergy Clin Immunol 2021; 150:214-222.e5. [PMID: 34971647 DOI: 10.1016/j.jaci.2021.12.779] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/19/2021] [Accepted: 12/09/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Evidence concerning the effects of different chemical components of PM2.5 on asthma is limited, and the methodology to compare the relative importance of different PM2.5 components is lacking. OBJECTIVES To examine the associations between PM2.5 components and asthma, and investigate which constituent of PM2.5 possessed the most harmful effect on asthma. METHODS A total of 45,690 subjects were surveyed in six countries from 2007 to 2010. We geo-coded the residential community address of the participants, and used satellite remote sensing and chemical transport modeling to estimate their annual average concentrations. Mixed-effects generalized additive models were utilized to examine the associations between PM2.5 constituents and prevalence of asthma. We further used counterfactual analyses to determine the potential number of asthma cases. RESULTS We identified 6,178 asthma cases among the participants, producing a prevalence of 13.5%. The odds ratio (OR) for asthma associated with per standard deviation (SD) increment was 1.12 for PM2.5 mass, 1.12 for organic carbon (OC), 1.18 for black carbon (BC), 1.19 for sulfate, 1.28 for ammonium, and 1.21 for nitrate after controlling for potential confounders. Our counterfactual analyses suggested that ammonium was responsible for a substantial decline in asthma cases (1382, corresponding to 22.37% of overall cases) if the concentration was reduced to the 5th percentile of the current level. CONCLUSIONS Our study suggests that some chemical components (including BC, OC, sulfate, ammonium, and nitrate) of PM2.5 might be hazardous constituents contributing to the prevalence of asthma, among them, ammonium might be responsible for substantial proportion of asthma cases if reduced to a certain level.
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Affiliation(s)
- Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention (Shanghai CDC), Shanghai, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Fan Wu
- School of Public Health, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Yuqiang Zhang
- Nicholas School of the Environment, Duke University, Durham, NC, USA.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Zhang X, Zhu Z, Cao F, Tiwari S, Chen B. Source apportionment of absorption enhancement of black carbon in different environments of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 755:142685. [PMID: 33049540 DOI: 10.1016/j.scitotenv.2020.142685] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/17/2020] [Accepted: 09/23/2020] [Indexed: 06/11/2023]
Abstract
Black carbon (BC) is an important pollutant for both air quality and earth's radiation balance because of its strong absorption enhancement. The enhanced light absorption of BC caused by other pollutants is one of the most important sources of uncertainty in global radiative forcing. The light absorption of BC is highly dependent on the emission source and very few studies have been carried out for the source apportionment of BC absorption enhancement. Thus, with this objective, continuous measurements of particulate matter (PM2.5) were performed at three different sites: a traffic site in Nanjing, an urban site in Jinan, and a rural site in Yucheng; the BC absorption enhancement and its source contributions were determined. The mass absorption cross-section (MAC) of BC aerosols was reduced after the removal of the coating material. The maximum MAC enhancement (EMAC) was found to be 2.25 ± 0.5 at the rural site, followed by 2.07 ± 0.7 at the urban site and 1.7 ± 0.6 at the traffic site, suggesting an approximately double enhancement in BC absorption due to different coating materials. The source apportionment of absorption enhancement of BC analysis using the positive matrix factorization model suggests five major emission sources. Among them, secondary sources were the main source of EMAC at all the three sites with a percentage contribution of 43.4% (rural site), 34.6% (traffic site), and 31% (urban site). However, other emission sources, such as biomass burning (21.1% at rural site) and vehicular emissions (33.8% at traffic site) also had a significant contribution to EMAC, suggesting that there could be large variations in BC absorption enhancement due to differences in emission sources together with aerosol aging processes.
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Affiliation(s)
- Xiaorong Zhang
- Environment Research Institute, Shandong University, Qingdao 266237, China
| | - Zhejing Zhu
- Environment Research Institute, Shandong University, Qingdao 266237, China
| | - Feiyan Cao
- Environment Research Institute, Shandong University, Qingdao 266237, China
| | - Shani Tiwari
- Environment Research Institute, Shandong University, Qingdao 266237, China
| | - Bing Chen
- Environment Research Institute, Shandong University, Qingdao 266237, China; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, China.
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Liu S, Zhan C, Zhang J, Liu H, Xiao Y, Zhang L, Guo J, Liu X, Xing X, Cao J. Polycyclic aromatic hydrocarbons in railway stations dust of the mega traffic hub city, central China: Human health risk and relationship with black carbon. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 205:111155. [PMID: 32846298 DOI: 10.1016/j.ecoenv.2020.111155] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 07/27/2020] [Accepted: 08/09/2020] [Indexed: 06/11/2023]
Abstract
Twenty dust samples collected from Wuchang and Wuhan Railway Stations, the biggest transport stations in the mega traffic hub city in Central China, were analyzed for polycyclic aromatic hydrocarbons (PAHs) to investigate the concentration, sources apportionment, and relationship with black carbon (BC) and assess the health risk. The results suggested that the concentrations of PAHs, BC and TOC in Wuhan Railway Station (WHRS) (PAHs = 5940 ± 1920 ng g-1, BC = 53.2 ± 23.1 mg g-1 and TOC = 80.7 ± 44.4) were twice higher than those in Wuchang Railway Station (WCRS) (PAHs = 2580 ± 1630 ng g-1, BC = 20.4 ± 14.3 mg g-1 and TOC = 33.9 ± 20.1 mg g-1). Moreover, the 3 - and 4 - rings PAHs were major PAHs in railway station dust. The composition pattern of PAHs in these railway station dusts had a common characteristic with HMW-PAHs contribution. The results of source identification revealed that different local development features and energy consumption of trains would influence the sources of PAHs and BC. PAHs and BC were most likely related to industrial activities in WHRS. Coal and biomass combustion may influence the PAHs components and BC distribution in WCRS. Moreover, BC had played an important role in retaining PAHs in urban railway stations. Especially in WHRS, BC would more likely to absorb the high molecular weight PAHs, such as 4 -ring (p<0.05), 5 -ring (p<0.05) and 6 -ring (p<0.05) PAHs; while BC just played limited roles in the binding of volatile and semi-volatile organic pollutants, such as 2 -ring and 3 -ring PAHs. With the coexistence of BC and PAHs, passengers would face significant potential health risks by exposure to toxic dust in railway stations, especially for children. The cancer risk in WHRS was almost twice higher than that in WCRS, and it would tend to be stable by a semi-confined structure in the platform area.
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Affiliation(s)
- Shan Liu
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China
| | - Changlin Zhan
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China
| | - Jiaquan Zhang
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China.
| | - Hongxia Liu
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China
| | - Yulun Xiao
- Faculty of science, Monash University, Clayton, VIC, 3800, Australia
| | - Li Zhang
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China
| | - Jianlin Guo
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China
| | - Xianli Liu
- School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China; Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi, 435003, China
| | - Xinli Xing
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China
| | - Junji Cao
- Key Laboratory of Aerosol Chemistry & Physics (KLACP), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
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Tan Y, Wang H, Shi S, Shen L, Zhang C, Zhu B, Guo S, Wu Z, Song Z, Yin Y, Liu A. Annual variations of black carbon over the Yangtze River Delta from 2015 to 2018. J Environ Sci (China) 2020; 96:72-84. [PMID: 32819701 DOI: 10.1016/j.jes.2020.04.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 04/13/2020] [Accepted: 04/13/2020] [Indexed: 06/11/2023]
Abstract
In this study, the black carbon (BC) measurements in the atmosphere of Nanjing, China were continuously conducted from 2015 to 2018 using a Model AE-33 aethalometer. By combining dataset of PM2.5, PM10, CO, NO2, SO2, O3 and meteorological parameters, the temporal variations and the source apportionment of BC were given in this study. The results showed that the PM2.5 mass concentrations decreased in Nanjing, with an average annual rate of variation of 6.50 μg/(m3⋅year). Differently, the annual average concentrations of BC increased with an average annual variation rate of 214.71 ng/(m3⋅year). The seasonal variations showed the pattern of BC mass concentrations in winter > autumn > spring > summer. The diurnal variations of BC mass concentrations showed a double-peak in all four seasons. The first peak occurred at approximately 7:00 in spring, summer and autumn and around 8:00 in winter. The second peak took place after 18:00. The average AAE (absorption Ångström exponent) was 1.26 with a maximum of 1.35 during wintertime and the lowest (1.12) during summertime. In addition, the AAE was smaller in the daytime than that at night, with a minimum occurring between 13:00 and 14:00. BC and visibility show a good power-function relationship at different humidity levels. The average values of the visibility thresholds of the BC mass concentrations in spring, summer, autumn and winter were 1.326, 5.522, 1.340 and 0.708 μg/m3, respectively. The greater the relative humidity, the smaller the visibility threshold for the BC mass concentrations was.
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Affiliation(s)
- Yue Tan
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Honglei Wang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China; State Key Joint Laboratory of Environment Simulation and Pollution Control (Peking University) College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
| | - Shuangshuang Shi
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Lijuan Shen
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Chen Zhang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Bin Zhu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Song Guo
- State Key Joint Laboratory of Environment Simulation and Pollution Control (Peking University) College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhijun Wu
- State Key Joint Laboratory of Environment Simulation and Pollution Control (Peking University) College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Ziyi Song
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Yan Yin
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Ankang Liu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science &Technology, Nanjing 210044, China
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