1
|
Chen P, Kang S, Gan Q, Yu Y, Yuan X, Liu Y, Tripathee L, Wang X, Li C. Concentrations and light absorption properties of PM 2.5 organic and black carbon based on online measurements in Lanzhou, China. J Environ Sci (China) 2023; 131:84-95. [PMID: 37225383 DOI: 10.1016/j.jes.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 04/21/2022] [Accepted: 08/02/2022] [Indexed: 05/26/2023]
Abstract
To elucidate the variations in mass concentrations of organic carbon (OC) and black carbon (BC) in PM2.5 and their light absorption characteristics in Lanzhou, we conducted one-year online measurements by using a newly developed total carbon analyzer (TCA08) coupled with an aethalometer (AE33) from July 2018 to July 2019. The mean OC and BC concentrations were 6.4 ± 4.4 and 2.0 ± 1.3 µg/m3, respectively. Clear seasonal variations were observed for both components, with winter having the highest concentrations, followed by autumn, spring, and summer. The diurnal variations of OC and BC concentrations were similar throughout the year, with daily two peaks occurring in the morning and evening, respectively. A relatively low OC/BC ratio (3.3 ± 1.2, n = 345) were observed, indicating that fossil fuel combustion was the primary source of the carbonaceous components. This is further substantiated by relatively low biomass burning contribution (fbiomass: 27.1% ± 11.3%) to BC using aethalometer based measurement though fbiomass value which increased significantly in winter (41.6% ± 5.7%). We estimated a considerable brown carbon (BrC) contribution to the total absorption coefficient (babs) at 370 nm (yearly average of 30.8% ± 11.1%), with a winter maximum of 44.2% ± 4.1% and a summer minimum of 19.2% ± 4.2%. Calculation of the wavelength dependence of total babs revealed an annual mean AAE370-520 value of 4.2 ± 0.5, with slightly higher values in spring and winter. The mass absorption cross-section of BrC also exhibited higher values in winter, with an annual mean of 5.4 ± 1.9 m2/g, reflecting the impact of emissions from increased biomass burning on BrC concentrations.
Collapse
Affiliation(s)
- Pengfei Chen
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Qinyi Gan
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Ye Yu
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 730000, China
| | - Xianlei Yuan
- Xinjiang Bayingolin Mongolian Autonomous Prefecture Meteorological Bureau, Korla 841000, China
| | - Yajun Liu
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Lekhendra Tripathee
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Xiaoxiang Wang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Chaoliu Li
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
2
|
Amin M, Prajati G, Humairoh GP, Putri RM, Phairuang W, Hata M, Furuuchi M. Characterization of size-fractionated carbonaceous particles in the small to nano-size range in Batam city, Indonesia. Heliyon 2023; 9:e15936. [PMID: 37215863 PMCID: PMC10192538 DOI: 10.1016/j.heliyon.2023.e15936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/08/2023] [Accepted: 04/27/2023] [Indexed: 05/24/2023] Open
Abstract
A cascade impactor type sampler equipped with an inertial filter was used to collect size-segregated particles down to ultrafine particles (UFPs or PM0.1) on Batam Island in Sumatra, Indonesia, bordered by Singapore and Malaysia during a wet and the COVID-19 pandemic season in 2021. Carbonaceous species, including organic carbon (OC) and elemental carbon (EC), were analyzed by a thermal/optical carbon analyzer to determine the carbon species and their indices. The average UFP was 3.1 ± 0.9 μg/m3, which was 2-4 times lower than in other cities in Sumatra during the same season in the normal condition. The PMs mass concentration was largely affected by local emissions but long-range transportation of particles from Singapore and Malaysia was also not negligible. The air mass arrived at the sampling site passed the ocean, which introduced out clean air with a low level of PMs. The backward trajectory of the air mass and the largest fraction of OC2 and OC3 in all sizes was identified as being transported from the 2 above countries. OC is the dominant fraction in TC and the ratio of carbonaceous components indicated that origin of all particle sizes was predominantly vehicle emissions. UFPs were dominantly emitted from vehicles exhaust emission, while coarser particles (>10 μm) were influenced by the non-exhaust emissions, such as tire wear. Other particles (0.5-1.0; 1.0-2.5; and 2.5-10 μm) were slightly affected by biomass burning. The effective carbon ratio (ECR) and inhalation dose (ID) related EC indicated that finer particles or UFPs and PM0.5-1 contributed more to human health and global warming.
Collapse
Affiliation(s)
- Muhammad Amin
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan
- Faculty of Engineering, Maritim University of Raja Ali Haji, Tanjung Pinang, Kepulauan Riau, 29115, Indonesia
| | - Gita Prajati
- Environmental Engineering Department, Universitas Universal, Batam, Kepulauan Riau, 29456, Indonesia
| | - Gita Pati Humairoh
- Environmental Engineering Department, Universitas Universal, Batam, Kepulauan Riau, 29456, Indonesia
| | - Rahmi Mulia Putri
- Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan
| | - Worradorn Phairuang
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan
| | - Mitsuhiko Hata
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan
| | - Masami Furuuchi
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan
- Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| |
Collapse
|
3
|
Jiang X, Liu D, Li Q, Tian P, Wu Y, Li S, Hu K, Ding S, Bi K, Li R, Huang M, Ding D, Chen Q, Kong S, Li W, Pang Y, He D. Connecting the Light Absorption of Atmospheric Organic Aerosols with Oxidation State and Polarity. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:12873-12885. [PMID: 36083258 DOI: 10.1021/acs.est.2c02202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The light-absorbing organic aerosol (OA) constitutes an important fraction of absorbing components, counteracting major cooling effect of aerosols to climate. The mechanisms in linking the complex and changeable chemistry of OA with its absorbing properties remain to be elucidated. Here, by using solvent extraction, ambient OA from an urban environment was fractionated according to polarity, which was further nebulized and online characterized with compositions and absorbing properties. Water extracted high-polar compounds with a significantly higher oxygen to carbon ratio (O/C) than methanol extracts. A transition O/C of about 0.6 was found, below and above which the enhancement and reduction of OA absorptivity were observed with increasing O/C, occurring on the less polar and high polar compounds, respectively. In particular, the co-increase of nitrogen and oxygen elements suggests the important role of nitrogen-containing functional groups in enhancing the absorptivity of the less polar compounds (e.g., forming nitrogen-containing aromatics), while further oxidation (O/C > 0.6) on high-polar compounds likely led to fragmentation and bleaching chromophores. The results here may reconcile the previous observations about darkening or whitening chromophores of brown carbon, and the parametrization of O/C has the potential to link the changing chemistry of OA with its polarity and absorbing properties.
Collapse
Affiliation(s)
- Xiaotong Jiang
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Dantong Liu
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Qian Li
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Ping Tian
- Beijing Key Laboratory of Cloud, Precipitation and Atmospheric Water Resources, 44 Zizhuyuan Road, Beijing 100089, China
| | - Yangzhou Wu
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Siyuan Li
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Kang Hu
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Shuo Ding
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Kai Bi
- Beijing Key Laboratory of Cloud, Precipitation and Atmospheric Water Resources, 44 Zizhuyuan Road, Beijing 100089, China
| | - Ruijie Li
- Beijing Key Laboratory of Cloud, Precipitation and Atmospheric Water Resources, 44 Zizhuyuan Road, Beijing 100089, China
| | - Mengyu Huang
- Beijing Key Laboratory of Cloud, Precipitation and Atmospheric Water Resources, 44 Zizhuyuan Road, Beijing 100089, China
| | - Deping Ding
- Beijing Key Laboratory of Cloud, Precipitation and Atmospheric Water Resources, 44 Zizhuyuan Road, Beijing 100089, China
| | - Qingcai Chen
- School of Environmental Science and Engineering, Shaanxi University of Science and Technology, 6 Xuefuzhong Road, Xi'an 710021, China
| | - Shaofei Kong
- Department of Atmospheric Science, School of Environmental Science, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China
| | - Weijun Li
- Department of Atmospheric Science, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Yu Pang
- Organic Geochemistry Unit, School of Earth Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Ding He
- Department of Ocean Science and Hong Kong Branch of the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), The Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
| |
Collapse
|
4
|
Chen P, Kang S, Zhang L, Abdullaev SF, Wan X, Zheng H, Maslov VA, Abdyzhapar Uulu S, Safarov MS, Tripathee L, Li C. Organic aerosol compositions and source estimation by molecular tracers in Dushanbe, Tajikistan. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 302:119055. [PMID: 35227849 DOI: 10.1016/j.envpol.2022.119055] [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: 11/17/2021] [Revised: 02/20/2022] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
To elucidate the molecular composition and sources of organic aerosols in Central Asia, carbonaceous compounds, major ions, and 15 organic molecular tracers of total suspended particulates (TSP) were analyzed from September 2018 to August 2019 in Dushanbe, Tajikistan. Extremely high TSP concentrations (annual mean ± std: 211 ± 131 μg m-3) were observed, particularly during summer (seasonal mean ± std: 333 ± 183 μg m-3). Organic carbon (OC: 11.9 ± 7.0 μg m-3) and elemental carbon (EC: 5.1 ± 2.2 μg m-3) exhibited distinct seasonal variations from TSP, with the highest values occurring in winter. A high concentration of Ca2+ was observed (11.9 ± 9.2 μg m-3), accounting for 50.8% of the total ions and reflecting the considerable influence of dust on aerosols. Among the measured organic molecular tracers, levoglucosan was the predominant compound (632 ± 770 ng m-3), and its concentration correlated significantly with OC and EC during the study period. These findings highlight biomass burning (BB) as an important contributor to the particulate air pollution in Dushanbe. High ratios of levoglucosan to mannosan, and syringic acid to vanillic acid suggest that mixed hardwood and herbaceous plants were the main burning materials in the area, with softwood being a minor one. According to the diagnostic tracer ratio, OC derived from BB constituted a large fraction of the primary OC (POC) in ambient aerosols, accounting for an annual mean of nearly 30% and reaching 63% in winter. The annual contribution of fungal spores to POC was 10%, with a maximum of 16% in spring. Measurements of plant debris, accounting for 3% of POC, divulged that these have the same variation as fungal spores.
Collapse
Affiliation(s)
- Pengfei Chen
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Lanxin Zhang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Sabur F Abdullaev
- S.U.Umarov Physical Technical Institute of the National Academy of Sciences of Tajikistan, Dushanbe, 734063, Tajikistan
| | - Xin Wan
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100085, China
| | - Huijun Zheng
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Vladimir A Maslov
- S.U.Umarov Physical Technical Institute of the National Academy of Sciences of Tajikistan, Dushanbe, 734063, Tajikistan
| | - Salamat Abdyzhapar Uulu
- Research Center for Ecology and Environment of Central Asia (Bishkek), 720001, Kyrgyzstan; Geography Department, Geology Institute, National Academy of Sciences, 720001, Kyrgyzstan
| | - Mustafo S Safarov
- Research Center for Ecology and Environment of Central Asia (Dushanbe), 734063, Tajikistan
| | - Lekhendra Tripathee
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Chaoliu Li
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| |
Collapse
|
5
|
Song X, Hu Y, Ma Y, Jiang L, Wang X, Shi A, Zhao J, Liu Y, Liu Y, Tang J, Li X, Zhang X, Guo Y, Wang S. Is short-term and long-term exposure to black carbon associated with cardiovascular and respiratory diseases? A systematic review and meta-analysis based on evidence reliability. BMJ Open 2022; 12:e049516. [PMID: 35504636 PMCID: PMC9066484 DOI: 10.1136/bmjopen-2021-049516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Adverse health effects of fine particles (particulate matter2.5) have been well documented by a series of studies. However, evidences on the impacts of black carbon (BC) or elemental carbon (EC) on health are limited. The objectives were (1) to explored the effects of BC and EC on cardiovascular and respiratory morbidity and mortality, and (2) to verified the reliability of the meta-analysis by drawing p value plots. DESIGN The systematic review and meta-analysis using adapted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach and p value plots approach. DATA SOURCES PubMed, Embase and Web of Science were searched from inception to 19 July 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Time series, case cross-over and cohort studies that evaluated the associations between BC/EC on cardiovascular or respiratory morbidity or mortality were included. DATA EXTRACTION AND SYNTHESIS Two reviewers independently selected studies, extracted data and assessed risk of bias. Outcomes were analysed via a random effects model and reported as relative risk (RR) with 95% CI. The certainty of evidences was assessed by adapted GRADE. The reliabilities of meta-analyses were analysed by p value plots. RESULTS Seventy studies met our inclusion criteria. (1) Short-term exposure to BC/EC was associated with 1.6% (95% CI 0.4% to 2.8%) increase in cardiovascular diseases per 1 µg/m3 in the elderly; (2) Long-term exposure to BC/EC was associated with 6.8% (95% CI 0.4% to 13.5%) increase in cardiovascular diseases and (3) The p value plot indicated that the association between BC/EC and respiratory diseases was consistent with randomness. CONCLUSIONS Both short-term and long-term exposures to BC/EC were related with cardiovascular diseases. However, the impact of BC/EC on respiratory diseases did not present consistent evidence and further investigations are required. PROSPERO REGISTRATION NUMBER CRD42020186244.
Collapse
Affiliation(s)
- Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yue Hu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yan Ma
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Liangzhen Jiang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xinyi Wang
- Second Clinical College, Lanzhou University, Lanzhou, Gansu, China
| | - Anchen Shi
- Department of General Surgery, Xi'an Jiaotong University Medical College First Affiliated Hospital, Xi'an, Shaanxi, China
| | - Junxian Zhao
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yunxu Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yafei Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Jing Tang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiayang Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaoling Zhang
- College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan, China
| | - Yong Guo
- Department of Civil Affairs in Guizhou Province, Guizhou Province People's Government, Guiyang, Guizhou, China
| | - Shigong Wang
- College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan, China
| |
Collapse
|
6
|
Guo J, Zheng X, Qin T, Lv M, Zhang W, Song X, Qiu H, Hu L, Zhang L, Zhou D, Sun Y, Yang W. An experimental method for efficiently evaluating the size-resolved sampling efficiency of liquid-absorption aerosol samplers. Sci Rep 2022; 12:4745. [PMID: 35304534 PMCID: PMC8932469 DOI: 10.1038/s41598-022-08718-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Aerosol samplers are critical tools for studying indoor and outdoor aerosols. Development and evaluation of samplers is often labor-intensive and time-consuming due to the need to use monodisperse aerosols spanning a range of sizes. This study develops a rapid experimental methodology using polydisperse solid aerosols to evaluate size-resolved aerosol-to-aerosol (AtoA) and aerosol-to-hydrosol (AtoH) sampling efficiencies. Arizona Test Dust (diameter 0.5–20 µm) was generated and dispersed into an aerosol test chamber and two candidate samplers were tested. For the AtoA test, aerosols upstream and downstream of a sampler were measured using an online aerodynamic particle sizer. For the AtoH test, aerosols collected in sampling medium were mixed with a reference sample and then measured by the laser diffraction method. The experimental methodology were validated as an impressive time-saving procedure, with reasonable spatial uniformity and time stability of aerosols in the test chamber and an acceptable accuracy of absolute mass quantification of collected particles. Evaluation results showed that the AGI-30 and the BioSampler sampler had similar size-resolved sampling efficiencies and that efficiencies decreased with decreasing sampling flow rate. The combined evaluation of AtoA and AtoH efficiency provided more comprehensive performance indicators than either test alone. The experimental methodology presented here can facilitate the design and choice of aerosol sampler.
Collapse
Affiliation(s)
- Jianshu Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Xinying Zheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Tongtong Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.,Laboratory Animal Center, Academy of Military Medical Science, Beijing, China
| | - Meng Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Wei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Xiaolin Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Hongying Qiu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Lingfei Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Lili Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Dongsheng Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Yansong Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
| | - Wenhui Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
| |
Collapse
|
7
|
Maharjan L, Kang S, Tripathee L, Gul C, Zheng H, Li Q, Chen P, Rai M, Santos E. Atmospheric particle-bound polycyclic aromatic compounds over two distinct sites in Pakistan: Characteristics, sources and health risk assessment. J Environ Sci (China) 2022; 112:1-15. [PMID: 34955192 DOI: 10.1016/j.jes.2021.04.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 06/14/2023]
Abstract
Much attention is drawn to polycyclic aromatic hydrocarbons (PAHs) as an air pollutant due to their toxic, mutagenic and carcinogenic properties. Therefore, to understand the levels, seasonality, sources and potential health risk of PAHs in two distinct geographical locations at Karachi and Mardan in Pakistan, total suspended particle (TSP) samples were collected for over one year period. The average total PAH concentrations were 31.5 ± 24.4 and 199 ± 229 ng/m3 in Karachi and Mardan, respectively. The significantly lower concentration in Karachi was attributed to diffusion and dilution of the PAHs by the influence of clean air mass from the Arabian sea and high temperature, enhancing the volatilization of the particle phase PAHs to the gas phase. Conversely, the higher concentration (~6 times) in Mardan was due to large influence from local and regional emission sources. A clear seasonality was observed at both the sites, with the higher values in winter and post-monsoon due to higher emissions and less scavenging, and lower values during monsoon season due to the dilution effect. Diagnostic ratios and principal component analysis indicated that PAHs in both sites originated from traffic and mixed combustion sources (fossil fuels and biomass). The average total BaP equivalent concentrations (BaPeq) in Karachi and Mardan were 3.26 and 34 ng/m3, respectively, which were much higher than the WHO guideline of 1 ng/m3. The average estimates of incremental lifetime cancer risk from exposure to airborne BaPeq via inhalation indicated a risk to human health from atmospheric PAHs at both sites.
Collapse
Affiliation(s)
- Linda Maharjan
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China; Chinese Academy of Sciences (CAS) Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100085, China
| | - Lekhendra Tripathee
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Himalayan Environment Research Institute, Kathmandu 44600, Nepal.
| | - Chaman Gul
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Reading Academy, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China
| | - Huijun Zheng
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Quanlian Li
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Pengfei Chen
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Mukesh Rai
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ewerton Santos
- Departamento de Química, Universidade Federal de Sergipe, São Cristóvão, Sergipe SE 49100-000, Brazil
| |
Collapse
|
8
|
Liu P, Zhou H, Chun X, Wan Z, Liu T, Sun B, Wang J, Zhang W. Characteristics of fine carbonaceous aerosols in Wuhai, a resource-based city in Northern China:Insights from energy efficiency and population density. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118368. [PMID: 34656676 DOI: 10.1016/j.envpol.2021.118368] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/11/2021] [Accepted: 10/12/2021] [Indexed: 06/13/2023]
Abstract
As one of the predominant compositions of PM2.5 (particulate matter with aerodynamic diameter ≤2.5 μm), carbonaceous aerosols not only have adverse effects on air quality, but also can affect climate change. Although there are extensive recent studies on carbonaceous aerosols, comprehensive studies on their socioeconomic influencing factors in a resource-based city are relatively limited. In this study, the spatial-temporal variations of organic carbon (OC), elemental carbon (EC), and secondary organic carbon (SOC) were investigated in January, July, and October in 2015 and April in 2016 in Wuhai and its surrounding areas. The population distribution and industry layout have led to the uneven spatial-temporal distribution of carbonaceous aerosols. The concentrations of carbonaceous aerosols were higher in winter due to the unfavorable meteorology and the increased emissions from heating. The SOC is a significant contributor to OC in the cold season (52.0% for January). Primary carbonaceous aerosols pollution is higher in the industrial sites of resource-based cities, whereas the SOC makes a significant contribution in the residential sites. The results of backward-trajectory and concentration-weighted trajectory analysis suggest that the local emissions and short-range atmospheric transport from nearby areas have a significant impact on PM2.5 and carbonaceous aerosols. A strong correlation between population density and OC/EC ratio was found, indicating that the megacities with high population density have a higher SOC contribution than the resource-based cities. Resource-based cities are characterized by high level of primary OC emissions, whereas cities with high energy efficiency have a more significant SOC contribution. These results provide a more comprehensive understanding of carbonaceous aerosols in a resource-based city.
Collapse
Affiliation(s)
- Peng Liu
- College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, 010022, China
| | - Haijun Zhou
- College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, 010022, China; Inner Mongolia Repair Engineering Laboratory of Wetland Eco-environment System, Inner Mongolia Normal University, Hohhot, 010022, China.
| | - Xi Chun
- College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, 010022, China; Inner Mongolia Repair Engineering Laboratory of Wetland Eco-environment System, Inner Mongolia Normal University, Hohhot, 010022, China
| | - Zhiqiang Wan
- College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, 010022, China; Inner Mongolia Repair Engineering Laboratory of Wetland Eco-environment System, Inner Mongolia Normal University, Hohhot, 010022, China
| | - Tao Liu
- Ecology and Environment Monitoring Center Station of Inner Mongolia, Hohhot, 010011, China
| | - Bing Sun
- Hohhot Ecology and Environment Monitoring Branch Station of Inner Mongolia, Hohhot, 010030, China
| | - Jingwen Wang
- College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, 010022, China
| | - Wenhui Zhang
- Products Quality Inspection and Research Institute of Inner Mongolia, Hohhot, 010070, China
| |
Collapse
|
9
|
Wang Q, Wang L, Tao M, Chen N, Lei Y, Sun Y, Xin J, Li T, Zhou J, Liu J, Ji D, Wang Y. Exploring the variation of black and brown carbon during COVID-19 lockdown in megacity Wuhan and its surrounding cities, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 791:148226. [PMID: 34412400 PMCID: PMC8176899 DOI: 10.1016/j.scitotenv.2021.148226] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/28/2021] [Accepted: 05/29/2021] [Indexed: 05/05/2023]
Abstract
Absorbing carbonaceous aerosols, i.e. black and brown carbon (BC and BrC), affected heavily on climate change, regional air quality and human health. The nationwide lockdown measures in 2020 were performed to against the COVID-19 outbreak, which could provide an important opportunity to understand their variations on light absorption, concentrations, sources and formation mechanism of carbonaceous aerosols. The BC concentration in Wuhan megacity (WH) was 1.9 μg m-3 during lockdown, which was 24% lower than those in the medium-sized cities and 26% higher than those in small city; in addition, 39% and 16-23% reductions occurred compared with the same periods in 2019 in WH and other cities, respectively. Fossil fuels from vehicles and industries were the major contributors to BC; and compared with other periods, minimum contribution (64-86%) mainly from fossil fuel to BC occurred during the lockdown in all cities. Secondary BrC (BrCsec) played a major role in the BrC light absorption, accounting for 65-77% in WH during different periods. BrCsec was promoted under high humidity, and decreased through the photobleaching of chromophores under higher Ox. Generally, the lockdown measures reduced the BC concentrations significantly; however, the variation of BrCsec was slight.
Collapse
Affiliation(s)
- Qinglu Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lili Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Minghui Tao
- Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
| | - Nan Chen
- The Ecology and Environment Monitoring Center of Hubei Province, Wuhan 430070, China
| | - Yali Lei
- Key Lab of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Yang Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China; College of Atmospheric Sciences of Huainan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Huainan 232000, China
| | - Jinyuan Xin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingting Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
| | - Jingxiang Zhou
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingda Liu
- College of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Dongsheng Ji
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
10
|
Zhang W, Wang W, Li J, Ma S, Lian C, Li K, Shi B, Liu M, Li Y, Wang Q, Sun Y, Tong S, Ge M. Light absorption properties and potential sources of brown carbon in Fenwei Plain during winter 2018-2019. J Environ Sci (China) 2021; 102:53-63. [PMID: 33637265 DOI: 10.1016/j.jes.2020.09.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 09/01/2020] [Accepted: 09/04/2020] [Indexed: 05/19/2023]
Abstract
A distinctive kind of organic carbon aerosol that could absorb ultraviolet-visible radiation is called brown carbon (BrC), which has an important positive influence on radiative budget and climate change. In this work, we reported the absorption properties and potential source of BrC based on a seven-wavelength aethalometer in the winter of 2018-2019 at an urban site of Sanmenxia in Fenwei Plain in central China. Specifically, the mean value of BrC absorption coefficient was 59.6 ± 36.0 Mm-1 at 370 nm and contributed 37.7% to total absorption, which made a significant impact on visibility and regional environment. Absorption coefficients of BrC showed double-peak pattern, and BrC had shown small fluctuations under haze days compared with clean days. As for the sources of BrC, BrC absorption coefficients expressed strong correlations with element carbon aerosols and primary organic carbon aerosols, indicating that most of BrC originated from primary emissions. The linear correlations between trace metal elements (K, As, Fe, Mn, Zn, and Pb) and BrC absorption coefficients further referred that the major sources of BrC were primary emissions, like coal burning, biomass burning, and vehicle emissions. The moderate relationship between BrC absorption coefficients and secondary organic aerosols suggested that secondary production of BrC also played an important role. The 120 hr backward air mass trajectories analysis and concentration-weighted trajectories analysis were also used to investigate potential sources of BrC in and around this area, which inferred most parts of BrC were derived from local emissions.
Collapse
Affiliation(s)
- Wenyu Zhang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Department of Clinical Research, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - Weigang Wang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Jie Li
- University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Shuangliang Ma
- Henan Environmental Monitoring Center Station, Zhengzhou 450000, China
| | - Chaofan Lian
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kun Li
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Villigen 5232, Switzerland
| | - Bo Shi
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mingyuan Liu
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanyu Li
- University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - QingQing Wang
- University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yele Sun
- University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Shengrui Tong
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Maofa Ge
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
| |
Collapse
|
11
|
Chen P, Kang S, Abdullaev SF, Safarov MS, Huang J, Hu Z, Tripathee L, Li C. Significant Influence of Carbonates on Determining Organic Carbon and Black Carbon: A Case Study in Tajikistan, Central Asia. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:2839-2846. [PMID: 33555863 DOI: 10.1021/acs.est.0c05876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Carbonates cause large uncertainties in determining the concentrations of organic carbon (OC) and elemental carbon (EC), as well as EC's light absorption characteristics, in arid locations, such as Central Asia. To investigate this influence, a comparison between acid (HCl)-treated and original total suspended particle (TSP) samples was conducted in Dushanbe, Tajikistan. According to the results, the OC and EC concentrations were overestimated by approximately 22.8 ± 33.8 and 32.5 ± 33.5%, with the actual values being 11.9 ± 3.0 and 5.13 ± 2.24 μg m-3, respectively. It was found that carbonates had a larger influence from May to October than during the other months, which was significantly correlated with the amount of TSPs on the filter. Furthermore, the mass absorption cross-section of EC (MACEC) increased from 4.52 ± 1.32 to 6.02 ± 1.49 m2 g-1; this indicated that carbonates can significantly decrease MACEC, thus causing an underestimation of approximately 23.9 ± 16.7%. This is the first study that quantifies the influence of carbonates on the light-absorbing abilities of EC.
Collapse
Affiliation(s)
- Pengfei Chen
- State Key Laboratory of Cryospheric Science, Northwest Institute of Co-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Co-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
- Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Sabur F Abdullaev
- Physical Technical Institute of the Academy of Sciences of Tajikistan, Dushanbe 734063, Tajikistan
| | - Mustafo S Safarov
- Research Center for Ecology and Environment of Central Asia (Dushanbe), Dushanbe 734063, Tajikistan
| | - Jie Huang
- Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhaofu Hu
- State Key Laboratory of Cryospheric Science, Northwest Institute of Co-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Lekhendra Tripathee
- State Key Laboratory of Cryospheric Science, Northwest Institute of Co-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Chaoliu Li
- State Key Laboratory of Cryospheric Science, Northwest Institute of Co-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
- Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100085, China
| |
Collapse
|
12
|
Chen P, Kang S, Tripathee L, Panday AK, Rupakheti M, Rupakheti D, Zhang Q, Guo J, Li C, Pu T. Severe air pollution and characteristics of light-absorbing particles in a typical rural area of the Indo-Gangetic Plain. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:10617-10628. [PMID: 31940147 DOI: 10.1007/s11356-020-07618-6] [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: 09/14/2019] [Accepted: 01/02/2020] [Indexed: 06/10/2023]
Abstract
Total suspended particles (TSP) were collected in Lumbini from April 2013 to March 2016 to better understand the characteristics of carbonaceous aerosol (CA) concentrations, compositions and sources and their light absorption properties in rural region of severe polluted Indo-Gangetic Plain (IGP). Extremely high TSP (203.9 ± 109.6 μg m-3), organic carbon (OC 32.1 ± 21.7 μg m-3), elemental carbon (EC 6.44 ± 3.17 μg m-3) concentrations were observed in Lumbini particularly during winter and post-monsoon seasons, reflecting the combined influences of emission sources and weather conditions. SO42- (7.34 ± 4.39 μg m-3) and Ca2+ (5.46 ± 5.20 μg m-3) were the most dominant anion and cation in TSP. These components were comparable to those observed in urban areas in South and East Asia but significantly higher than those in remote regions over the Himalayas and Tibetan Plateau, suggesting severe air pollution in the study region. Various combustion activities including industry, vehicle emission, and biomass burning are the main reasons for high pollutant concentrations. The variation of OC/EC ratio further suggested that biomass such as agro-residue burning contributed a lot for CA, particularly during the non-monsoon season. The average mass absorption cross-section of EC (MACEC) and water-soluble organic carbon (MACWSOC) were 7.58 ± 3.39 and 1.52 ± 0.41 m2 g-1, respectively, indicating that CA in Lumbini was mainly affected by local emissions. Increased biomass burning decreased MACEC; whereas, it could result in high MACWSOC during the non-monsoon season. Furthermore, dust is one important factor causing higher MACWSOC during the pre-monsoon season.
Collapse
Affiliation(s)
- Pengfei Chen
- State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, CAS, DongGangXi Road, Chengguan District, Lanzhou, 730000, People's Republic of China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, CAS, DongGangXi Road, Chengguan District, Lanzhou, 730000, People's Republic of China.
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China.
- University of CAS, Beijing, 100049, China.
| | - Lekhendra Tripathee
- State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, CAS, DongGangXi Road, Chengguan District, Lanzhou, 730000, People's Republic of China
| | - Arnico K Panday
- International Centre for Integrated Mountain Development, Kathmandu, 44700, Nepal
| | | | - Dipesh Rupakheti
- State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, CAS, DongGangXi Road, Chengguan District, Lanzhou, 730000, People's Republic of China
| | - Qianggong Zhang
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, CAS, Beijing, 100101, China
| | - Junming Guo
- State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, CAS, DongGangXi Road, Chengguan District, Lanzhou, 730000, People's Republic of China
| | - Chaoliu Li
- CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, CAS, Beijing, 100101, China
| | - Tao Pu
- State Key Laboratory of Cryospheric Science, Chinese Academy of Sciences (CAS), Northwest Institute of Eco-Environment and Resources, CAS, DongGangXi Road, Chengguan District, Lanzhou, 730000, People's Republic of China
| |
Collapse
|