Seasonal Variation of OC, EC, and WSOC of PM10 and Their CWT Analysis Over the Eastern Himalaya

Rai, Ankita; Mukherjee, Sauryadeep; Chatterjee, Abhijit; Choudhary, Nikki; Kotnala, Garima; Mandal, T. K.; Sharma, S.K.

doi:10.1007/s41810-020-00053-7

Cited by 37 publications

(20 citation statements)

References 46 publications

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“…In the atmosphere, biomass burning, emissions from vehicular movement, incomplete combustion of fossil fuel, coal combustion and brick kiln are the important anthropogenic sources of carbonaceous species [21,22]. In recent years, variation in mass concentrations, source identification, and adverse impacts of BC or EC, and OC have been broadly studied at various locations of the world [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. A brief summary of the OC/EC study carried out in different parts of the world is presented in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Singh

Srivastava

2020

SN Appl. Sci.

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Section: Introductionmentioning

confidence: 99%

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Singh

Srivastava

2020

SN Appl. Sci.

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“…(3.7±0.6 µg m -3 ) concentrations in PM10 at Darjeeling and high OC (10.3±5.6 µg m -3 ) and EC (5.4±2.9 µg m -3 ) values in PM10 at Kullu-Mohal (north-western Himalayas) during winter. Whereas, Rai et al (2020a) demonstrate the abundance of soil/road dust contributed by soluble organic sources to PM2.5 and PM10 at study site (Tables: S1-S8; in supplementary information). I may also be considered that the soil suspension, fuel combustion (Urban et al 2012), and formation of secondary water soluble organic aerosols (Lim et al 2010) might be the some other sources of WSOC in the sampling site of Darjeeling.…”

Section: Variation Of Oc Ec and Wsoc In Pm25 And Pm10mentioning

confidence: 94%

“…It has been observed that the prevailing meteorology of the sampling site influenced the seasonal variation in mass concentrations of PM2.5 and PM10 at Darjeeling. However, the higher concentration of pollutants during the summer season at Darjeeling might be due to more influence of tourism activities (Gajananda et al 2005;Chatterjee et al 2021) as well as long-range transportation of pollutants at sampling site of the Darjeeling (Rai et al 2020a).…”

Section: Seasonal Variability Of Pm25 and Pm10mentioning

confidence: 99%

Seasonal Variation and Sources of Carbonaceous Species and Elements in PM2.5 and PM10 Over the Eastern Himalaya

Sharma

Mukherjee

Choudhary

et al. 2021

Preprint

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The study represents the seasonal characteristics (carbonaceous aerosols and elements) and contribution of prominent sources PM2.5 and PM10 in the high altitude of the eastern Himalaya (Darjeeling) during August 2018-July 2019. Carbonaceous aerosols [organic carbon (OC), elemental carbon (EC) and water soluble organic carbon (WSOC)] and elements (Al, Fe, Ti, Cu, Zn, Mn, Cr, Ni, Mo, Cl, P, S, K, Zr, Pb, Na, Mg, Ca, and B) in PM2.5 and PM10 were analyzed to estimate their possible sources. The annual average concentration of PM2.5 and PM10 were computed as 37±12 µg m-3 and 58±18 µg m-3, respectively. In the present case, total carbonaceous species in PM2.5 and PM10 were accounted for 20.6% of PM2.5 and 18.6% of PM10, respectively. Whereas, trace elements in PM2.5 and PM10 were estimated as 15% of PM2.5 and 12% of PM10, respectively. Monthly are seasonal variations in concentrations of carbonaceous aerosols and elements in PM2.5 and PM10 were also observed during the observational period. The positive relationship between OC & EC and OC & WSOC of PM2.5 and PM10 during all the seasons (except monsoon in case of PM10) indicate rheir common sources. The enrichment factors (EFs) and significant positive correlation of Al with othe crustal elements (Fe, Ca, Mg and Ti) of fine and coarse mode aerosols indicates the influence of mineral dust at the Darjeeling. Principal component analysis (PCA) resolved the four common sources (biomass burning + fossil fuel combustion (BB+FFC), crustal/soil dust, vehicular emissions (VE) and industrial emissions (IE)) of PM2.5 and PM10 in Darjeeling.

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“…Moreover, we have also carried out the CWT analysis, which is also a receptor model used widely to understand the spatial distribution of potential source regions of air pollutants (Bansal et al, 2019;Rai et al, 2020). In CWT analysis, based on the stretch of AMBTs the geographic region is firstly sub-divided into a set of grid cells (grid resolution: 0.5° × 0.5°).…”

Section: Accepted Manuscript 10mentioning

confidence: 99%

Source Impact Analysis Using Char-EC/Soot-EC Ratios in the Central Indo-Gangetic Plain (IGP) of India

Mishra

Kulshrestha

2021

Aerosol Air Qual. Res.

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This study reports one year (December 2016-November 2017) observations of carbonaceous aerosols in fine particulate matter (fPM; dia. < 2.5µm, n = 102 samples) over an urban location(Prayagraj) in central Indo-Gangetic Plain (IGP). The fPM concentrations exhibited a very large variability ranging from 22-367 (Avg. ± SD: 149 ± 87) µg m -3 during the entire study period. The carbonaceous aerosols (Organic Carbon (OC), Water soluble OC (WSOC) and Elemental Carbon (EC)) constituted about 40% of the annual fPM mass. Furthermore, based on several diagnostic ratios (EC/fPM, OC/EC, char-EC/soot-EC, and WSOC/OC), the characteristic features of carbonaceous aerosols were inferred to be significantly different in each season. The variation in the abundance pattern of carbonaceous aerosols appears to have influence of emission sources, seasonal meteorology, and atmospheric chemistry. The trajectory analysis at the sampling site has revealed that higher concentration of fPM and carbonaceous aerosols, mainly during the postmonsoon and winter season, was associated with the northwesterly air masses originated from the northwestern part of India. However, during summer and monsoon seasons the study site was likely to have influence from air masses of mixed origins (continental/marine) with the dominance of local anthropogenic sources. The char-EC/soot-EC ratio coupled to OC/EC ratio has been utilized in this study for source impact identification. Accordingly, the cross plots of char-EC/soot-EC and OC/EC ratio indicated the more of influence biomass burning during winter and postmonsoon season. However, during the summer and monsoon season, the cross plot indicated the predominant impact of fossil-fuel combustion sources. This study highlights the utility of char-EC/soot-EC ratio as a better indicator to trace out the impact of biomass burning and fossil-fuel combustion sources of carbonaceous aerosols compared to OC/EC over the IGP region.

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Seasonal Variation of OC, EC, and WSOC of PM10 and Their CWT Analysis Over the Eastern Himalaya

Cited by 37 publications

References 46 publications

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Seasonal variation of carbonaceous species in PM1 measured over residential area of Delhi, India

Seasonal Variation and Sources of Carbonaceous Species and Elements in PM2.5 and PM10 Over the Eastern Himalaya

Source Impact Analysis Using Char-EC/Soot-EC Ratios in the Central Indo-Gangetic Plain (IGP) of India

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