Journal of Atmospheric Chemistry最新文献

{"title":"Water-soluble dicarboxylic acids, oxoacids and α-dicarbonyls in the tropical aerosols in coastal megacity Mumbai: molecular characteristics and formation processes","authors":"Ashmeet Kaur Alang,&nbsp;Shankar G. Aggarwal,&nbsp;Khem Singh,&nbsp;Daya Soni,&nbsp;Kimitaka Kawamura","doi":"10.1007/s10874-022-09442-3","DOIUrl":"10.1007/s10874-022-09442-3","url":null,"abstract":"<div><h2>Abstract\u0000</h2><div><p>Daytime and nighttime PM₁₀ samples were collected during summer (June) and winter (February) at a representative urban site in Mumbai, located on the western coast of Indian subcontinent. Samples were studied for molecular distribution of water-soluble dicarboxylic acids, oxoacids and dicarbonyls as well as total carbon (TC), water-soluble organic carbon (WSOC), inorganic ions along with specific markers (levoglucosan, K⁺) to better understand sources and formation processes of organic aerosols in Mumbai. The distribution of water-soluble organics was characterised by high abundance of oxalic acid (C₂), followed by phthalic (Ph), terephthalic (tPh), azelaic (C₉), malonic (C₃), and succinic acids (C₄). Positive correlations between C₂, sulfate and glyoxal (ωC₂) suggest secondary production of C₂ predominantly via aqueous phase chemistry. C₂ also showed positive correlation with K⁺ and levoglucosan indicating that biomass/biofuel burning is the potential source of diacids in the Mumbai aerosols. In addition, higher average contributions of total diacids to WSOC and OC in winter than in summer suggest that aerosols were aged i.e., photochemically well processed in winter in Mumbai. On the other hand, diurnal change in their ratios is observed with higher ratio in daytime samples than that of previous and succeeding nighttime samples, suggesting diacids are also influenced from local sources in both the seasons. This study demonstrates that biomass burning as well as biogenic sources are important sources influencing the distributions of aerosols in Mumbai.</p></div></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"80 2","pages":"137 - 155"},"PeriodicalIF":2.0,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09442-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4363114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface ozone changes during the COVID-19 outbreak in China: An insight into the pollution characteristics and formation regimes of ozone in the cold season","authors":"Lei Tong,&nbsp;Yu Liu,&nbsp;Yang Meng,&nbsp;Xiaorong Dai,&nbsp;Leijun Huang,&nbsp;Wenxian Luo,&nbsp;Mengrong Yang,&nbsp;Yong Pan,&nbsp;Jie Zheng,&nbsp;Hang Xiao","doi":"10.1007/s10874-022-09443-2","DOIUrl":"10.1007/s10874-022-09443-2","url":null,"abstract":"<div><h2>Abstract\u0000</h2><div><p>The countrywide lockdown in China during the COVID-19 pandemic provided a natural experiment to study the characteristics of surface ozone (O₃). Based on statistical analysis of air quality across China before and during the lockdown, the tempo-spatial variations and site-specific formation regimes of wintertime O₃ were analyzed. The results showed that the O₃ pollution with concentrations higher than air quality standards could occur widely in winter, which had been aggravated by the emission reduction during the lockdown. On the national scale of China, with the significant decrease (54.03%) in NO₂ level from pre-lockdown to COVID-19 lockdown, the maximum daily 8-h average concentration of O₃ (MDA8h O₃) increased by 39.43% from 49.05 to 64.22 μg/m³. This increase was comprehensively contributed by attenuated NO_x suppression and favorable meteorological changes on O₃ formation during the lockdown. As to the pollution states of different monitoring stations, surface O₃ responded oppositely to the consistent decreased NO₂ across China. The O₃ levels were found to increase in the northern and central regions, but decrease in the southern region, where the changes in both meteorology (e.g. temperature drops) and precursors (reduced emissions) during the lockdown had diminished local O₃ production. The spatial differences in NO_x levels generally dictate the site-specific O₃ formation regimes in winter, with NO_x-titration/VOCs-sensitive regimes being dominant in northern and central China, while VOCs-sensitive/transition regimes being dominant in southern China. These findings highlight the influence of NO_x saturation levels on winter O₃ formation and the necessity of VOCs emission reductions on O₃ pollution controls.</p></div></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"80 1","pages":"103 - 120"},"PeriodicalIF":2.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09443-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4322087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Christian Junge – a pioneer in global atmospheric chemistry","authors":"Robert A. Duce,&nbsp;Russell R. Dickerson,&nbsp;Ian E. Galbally,&nbsp;James N. Galloway,&nbsp;Ruprecht Jaenicke,&nbsp;William C. Keene,&nbsp;Jos Lelieveld,&nbsp;Hiram Levy II,&nbsp;Joseph M. Prospero,&nbsp;Lothar Schütz,&nbsp;Franz Slemr,&nbsp;Peter Winkler","doi":"10.1007/s10874-022-09437-0","DOIUrl":"10.1007/s10874-022-09437-0","url":null,"abstract":"<div><p>Christian Junge (1912–1996) is considered by many to be the founder of the modern discipline of atmospheric chemistry. In studies from the 1950s through the 1970s, Junge was able to link chemical measurements in a few scattered locations around the earth and integrate them with meteorology to develop the first global view of the basic chemical and physical processes that control the sources, transport, transformations, and fate of particles and gases in the atmosphere. In this paper we summarize and comment upon a number of Junge’s seminal research contributions to atmospheric chemistry, including his discovery of the stratospheric sulfate layer (known as the Junge layer), his recognition of the relationship between the variability of the concentrations of trace gases and their atmospheric lifetimes, his studies of aerosol size and number distributions, his development of the first quantitative model of tropospheric ozone, and other significant scientific investigations. We also discuss Junge’s professional life, his many international leadership positions and honors, as well as some memories and reflections on his many abilities that led to his outstanding contributions to the science of atmospheric chemistry.</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"79 4","pages":"219 - 256"},"PeriodicalIF":2.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09437-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4923094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the seasonal and fractional variability of metals bearing particles in an urban environment and their inhalability","authors":"Kamila Widziewicz-Rzońca,&nbsp;Halina Pyta,&nbsp;Krzysztof Słaby,&nbsp;Barbara Błaszczak,&nbsp;Patrycja Rogula-Kopiec,&nbsp;Barbara Mathews,&nbsp;Monika Błaszczak,&nbsp;Krzysztof Klejnowski","doi":"10.1007/s10874-022-09438-z","DOIUrl":"10.1007/s10874-022-09438-z","url":null,"abstract":"<div><p>This study aimed to calculate size-fractionated PM-bound metals concentration (Co, V, Ni, Cu, Mn, As, Cd, Pb, Cr and Hg) in a European hot spot area in terms of PM air pollution (Zabrze, Poland) and to show their deposition ratios in human airways. Additionally, meteorological data was used to conclude the probable influence of atmospheric conditions on the variability of the PM mass concentrations in different periods of the year. Data regarding the elemental composition of size-fractionated PM in various regions of Poland was also presented. The determination of the selected metals in PM-fractionated samples (PM₁, PM_2.5, and PM₁₀) was performed in two periods – the heating and non-heating season. It was found that metals were primarily associated with particles less than 1 µm, however, the PM size distribution had shown bi-modal characteristics and the maxima of metal mass distribution occurred in both submicron and fine modes. High PM₁ mass loadings, observed especially in the non-heating season were probably due to an influx of fine and even smaller particles from traffic sources. Metals distributions as well as respiratory deposition ratios for PM-bound elements calculated using the MPPD V2.11 model favored nasal and head deposition. The overall mass deposition of metals in the respiratory tract of adults was: 0.39 (Head region, H); 0.07 (Tracheobronchial region, TB); 0.16 (Pulmonary region, P) respectively. No matter the season, the highest inhalable concentrations of metals were found for Cu, Mn, Cr and Pb. Only Cr and Pb are classified as carcinogenic and mutagenic (according to IARC classification).\u0000</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"80 1","pages":"77 - 101"},"PeriodicalIF":2.0,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4782598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporary reduction in VOCs associated with health risk during and after COVID-19 in Maharashtra, India","authors":"Bhupendra Pratap Singh,&nbsp;Saumya Kumari,&nbsp;Arathi Nair,&nbsp;Sweety Kumari,&nbsp;Saikh Mohammad Wabaidur,&nbsp;Ram Avtar,&nbsp;Shakilur Rahman","doi":"10.1007/s10874-022-09440-5","DOIUrl":"10.1007/s10874-022-09440-5","url":null,"abstract":"<div><p>A novel coronavirus has affected almost all countries and impacted the economy, environment, and social life. The short-term impact on the environment and human health needs attention to correlate the Volatile organic compounds (VOCs) and health assessment for pre-, during, and post lockdowns. Therefore, the current study demonstrates VOC changes and their effect on air quality during the lockdown. The findings of result, the levels of the mean for total VOC concentrations were found to be 15.45 ± 21.07, 2.48 ± 1.61, 19.25 ± 28.91 µg/m³ for all monitoring stations for pre-, during, and post lockdown periods. The highest value of TVOCs was observed at Thane, considered an industrial region (petroleum refinery), and the lowest at Bandra, which was considered a residential region, respectively. The VOC levels drastically decreased by 52%, 89%, 80%, and 97% for benzene, toluene, ethylbenzene, and m-xylene, respectively, during the lockdown period compared to the previous year. In the present study, the T/B ratio was found lower in the lockdown period as compared to the pre-lockdown period. This can be attributed to the complete closure of non-traffic sources such as industries and factories during the lockdown. The Lifetime Cancer Risk values for all monitoring stations for benzene for pre-and-post lockdown periods were higher than the prescribed value, except during the lockdown period.\u0000</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"80 1","pages":"53 - 76"},"PeriodicalIF":2.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09440-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4669995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ionic composition, source identification of rainwater, and its contribution to nutrient deposition in monsoon, over Sundarban Mangrove forest","authors":"Natasha Majumder,&nbsp;Monami Dutta,&nbsp;Abhijit Chatterjee,&nbsp;Sneha Bakshi,&nbsp;Prasun Sanyal,&nbsp;Madhusudan Paul,&nbsp;Vandana Kumari Gupta,&nbsp;Avanti Acharya,&nbsp;Sandip Kumar Mukhopadhayay","doi":"10.1007/s10874-022-09441-4","DOIUrl":"10.1007/s10874-022-09441-4","url":null,"abstract":"<div><p>A detailed study on potential sources, variation, and environmental effects of the rainwater ions was carried out at Lothian Island, Sundarban mangrove forest, India, during the southwest monsoon (June–September) in 2019. On an event basis, the maximum rainwater precipitation was observed 17.65 mm Day ⁻¹ and a minimum of 1.02 mm Day ⁻¹. The maximum amount of total precipitation was recorded in the month of July (237 mm). The volume weighted mean (VWM) concentration shows that the total ionic composition was 93.7 μeq L⁻¹, whereas the percentage contribution of the total ionic concentration is found to be 45.97% to anions and 54.02% to the cations. Temporal variation was observed between early (June- July) and late monsoon (August—September), which shows a high concentration of major ions in early monsoon and low concentration in late monsoon due to the washout of atmospheric particles with the frequent and increasing precipitation. The pH values of the 78% samples show neutral pH and neutralization factors (NF) followed a sequence of NF_Ca ˃NF_Mg ˃ NF_NH4 with factors of 0.77, 0.34, and 0.14 indicating Ca²⁺ was the most potential species to balance the acidic ions (NO₃⁻, SO₄²⁻) over the study area. Source apportionment study indicates the significant influence of marine actions (long-range transport by monsoonal wind from marine origin, Sea spray, salty soil profile of mangrove) as the major source of ions over Sundarban. The rate of nutrient wet deposition in the form of rainwater was estimated and average monsoonal nitrogen flux was observed 0.87 kg ha⁻¹where NO₃ contributes the most (0.60 kg ha⁻¹). N and P deposition flux also showed a simultaneous pattern with the seasonal nutrient concentration of surrounding river water, which may be an indication of a possible contribution of atmospheric wet deposition in the spike of monsoonal nutrient concentration in river water.\u0000</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"80 2","pages":"121 - 136"},"PeriodicalIF":2.0,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4671207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Air pollution trends measured from MODIS and TROPOMI: AOD and CO over Pakistan","authors":"Fazzal Qayyum,&nbsp;Salman Tariq,&nbsp;Zia ul-Haq,&nbsp;Usman Mehmood,&nbsp;Özgür Zeydan","doi":"10.1007/s10874-022-09436-1","DOIUrl":"10.1007/s10874-022-09436-1","url":null,"abstract":"<div><p>The TROPOMI (TROPOspheric monitoring instrument) onboard Sentinel-5 Precursor (S5P) satellite provides high spatial resolution data of carbon monoxide (CO) while the MAIAC (Multiangle Implementation of Atmospheric Correction) is a newly developed algorithm applied to MODIS collection 6 observations to retrieve AOD (Aerosol Optical Depth) at a high spatial resolution of 1 km. The present study utilized the MAIAC AOD from MODIS Terra and Aqua polar-orbiting satellites between March 2000 to December 2021 and CO from Sentinel-5P during the available period July 2018-December 2021 over Pakistan. Moreover, we used three trend techniques (Linear regression, Mann–Kendall (MK), and Theil-Sen’s Slope) to examine the trends of AOD and CO over Pakistan. The results show that both AOD and CO have high values over central Punjab, western Balochistan, central Sindh, and Khyber Pakhtunkhwa. The mean annual high AOD of &gt; 1.2 is observed in eastern Punjab because of an increase in urbanization, industrialization, and economical activities whereas the AOD of ~ 1.0 is observed over Balochistan, Sindh, and a few parts of Khyber Pakhtunkhwa. The highest mean annual CO of ˃0.03 mol/m^2 is seen over central Punjab, Sindh, and Khyber Pakhtunkhwa. The results show that seasonal mean MAIAC AOD ranging from 0.7 to &gt; 0.9 was seen over Punjab and Sindh province during the monsoon season whereas the lowest AOD is detected in the winter season over few parts of Balochistan. In contrast, the highest mean seasonal CO ranging from 0.040 to &gt; 0.055 mol/m^2 was seen in the winter season over Punjab. The lowest CO concentration is observed in the winter season over the northern region of Pakistan. Non-parametric analyses (MK and Theil-Sen’s slope) also show an increasing trend of CO over Pakistan from 2018 to 2021. Furthermore, we have also investigated the trends of AOD and CO over selected cities of Pakistan using linear regression, MK test, and Theil-Sen’s slope to reveal long-term air pollution trends.</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"79 3","pages":"199 - 217"},"PeriodicalIF":2.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09436-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4944288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elemental analysis of PM10 in southwest Mexico City and source apportionment using positive matrix factorization","authors":"Lourdes Verónica Mejía-Ponce,&nbsp;Alfonso Enrique Hernández-López,&nbsp;Javier Miranda-Martín-del-Campo,&nbsp;Juan Carlos Pineda-Santamaría,&nbsp;Salvador Reynoso-Cruces,&nbsp;Juan Antonio Mendoza-Flores,&nbsp;Alberto Antonio Espinosa-Guzmán","doi":"10.1007/s10874-022-09435-2","DOIUrl":"10.1007/s10874-022-09435-2","url":null,"abstract":"<div><p>The results of a study of the elemental concentrations in PM₁₀ samples collected at a site in southwest Mexico City during 2016 and 2019, are presented. The concentrations of up to 19 elements were measured with X-ray fluorescence (XRF). These analyses were complemented with ion chromatography for eight ionic species (for the samples collected in 2016). The behaviors of the gravimetric mass and elemental concentrations are described for the morning, afternoon, and night-time periods in 2019. The elemental concentrations observed in the PM₁₀ samples did not present significant changes as compared to those published in previous works. It was found that the gravimetric mass concentrations were always below the official standards, except during a contingency period in May 2019. The positive matrix factorization (PMF) receptor model was used to identify contaminating sources and their relative contributions to the concentrations of the detected elements. The soil-related factors were the most abundant contributors, with other components associated to traffic, biomass burning, fuel oil, secondary aerosol, and dust resuspension. The occurrence of episodes in 2019 is explained with the aid of PMF and back-trajectories, while the contingency period is due to other chemical species not detected in PM₁₀ with XRF. A comparison with data collected in 2005 in downtown Mexico City is also carried out, as well as with urban areas in other countries.\u0000</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"79 3","pages":"167 - 198"},"PeriodicalIF":2.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09435-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4657283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of the chemical composition and source apportionment of PM2.5 for a one-year period in Wuhan, China","authors":"Xiaoyu Zhang,&nbsp;Guixiang Ji,&nbsp;Xiaowu Peng,&nbsp;Lingya Kong,&nbsp;Xin Zhao,&nbsp;Rongrong Ying,&nbsp;Wenjun Yin,&nbsp;Tian Xu,&nbsp;Juan Cheng,&nbsp;Lin Wang","doi":"10.1007/s10874-022-09431-6","DOIUrl":"10.1007/s10874-022-09431-6","url":null,"abstract":"<div><p>In this study, 123 PM_2.5 filter samples were collected in Wuhan, Hubei province from December 2014 to November 2015. Water- soluble inorganic ions (WSIIs), elemental carbon (EC), organic carbon (OC) and inorganic elements were measured. Source apportionment and back trajectory was investigated by the positive matrix factorization (PMF) model and the hybrid single particle lagrangian integrated trajectory (HYSPLIT) model, respectively. The annual PM_2.5 concentration was 80.5 ± 38.2 μg/m³, with higher PM_2.5 in winter and lower in summer. WSIIs, OC, EC, as well as elements contributed 46.8%, 14.8%, 6.7% and 8% to PM_2.5 mass concentration, respectively. SO₄²⁻, NO₃⁻ and NH₄⁺ were the dominant components, accounting for 40.2% of PM_2.5 concentrations. S, K, Cl, Ba, Fe, Ca and I were the main inorganic elements, and accounted for 65.2% of the elemental composition. The ratio of NO₃⁻/SO₄²⁻ was 0.86 ± 0.72, indicating that stationary sources play dominant role on PM_2.5 concentration. The ratio of OC/EC was 2.9 ± 1.4, suggesting the existence of secondary organic carbon (SOC). Five sources were identified using PMF model, which included secondary inorganic aerosols (SIA), coal combustion, industry, vehicle emission, fugitive dust. SIA, coal combustion, as well as industry were the dominant contributors to PM_2.5 pollution, accounting for 34.7%, 20.5%, 19.6%, respectively.</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"79 2","pages":"101 - 115"},"PeriodicalIF":2.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10874-022-09431-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5182913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of variation of aerosol optical properties over a high altitude station in Indian Western Himalayan region, palampur using raman lidar system","authors":"Shishir Kumar Singh,&nbsp;S. R. Radhakrishnan,&nbsp; Jaswant,&nbsp;Sumit Kumar Mishra,&nbsp;Devesh Kumar Shukla,&nbsp;Ashish Ranjan,&nbsp;Chhemendra Sharma","doi":"10.1007/s10874-022-09432-5","DOIUrl":"10.1007/s10874-022-09432-5","url":null,"abstract":"<div><p>A Raman lidar system was operated along with the Microtops sunphotometer measurements to carry out the study of the variation of the optical properties of aerosols over Palampur (32.11° N and 76.53° E), India from 17th April to 11th May 2019. The lidar system is furnished with Raman (N₂) channel and depolarization channel allowing independent measurement of Lidar Ratio (LR) and linear depolarization ratio. The study reveals that the majority of the aerosols approximately were restricted within the planetary boundary layer (PBL) and very less loading was present in the free troposphere over the study location. The particle loading over the study period was found to be very less with aerosol backscatter coefficient (at 355 nm) ranging from ∼0.13 Mm⁻¹sr⁻¹ to ∼7.25 Mm⁻¹sr⁻¹ with mean value of 2.67 ± 0.82 Mm⁻¹sr⁻¹ and it is well supplemented by the mean aerosol optical depth (AOD) of 0.37 ± 0.13 obtained from Microtops Sunphotometer. The average lidar ratio values for 0-1 km altitude (L1) 72 ± 13sr, for 1-2 km (L2) altitude 55 ± 8sr, for 2-3 km (L3) 54 ± 15sr were observed as suggesting dominance of the biomass burning aerosols and anthropogenic aerosols. The particle depolarization ratio (355 nm) values were found from approximately 4.8 ± 2.7% to 11.5 ± 1.9% with the mean value of 7 ± 1.3% suggesting the presence of non-spherical particles. To trace the sources of the pollution, we derived the HYSPLIT trajectory which shows the majority of the movement was from local sources.</p></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"79 2","pages":"117 - 139"},"PeriodicalIF":2.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5130049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}