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Proceeding Paper

Study on the Relationship of WSIS of PM2.5 with NH3 and Other Trace Gases over Delhi, India †

by
Garima Kotnala
1,2,
Sudhir Kumar Sharma
1,2,* and
Tuhin Kumar Mandal
1,2
1
Council of Scientific and Industrial Research–National Physical Laboratory (CSIR–NPL), New Delhi 110012, India
2
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
*
Author to whom correspondence should be addressed.
Presented at the 5th International Electronic Conference on Atmospheric Sciences, 16–31 July 2022; Available online: https://ecas2022.sciforum.net/.
Environ. Sci. Proc. 2022, 19(1), 24; https://doi.org/10.3390/ecas2022-12817
Published: 14 July 2022
(This article belongs to the Proceedings of The 5th International Electronic Conference on Atmospheric Sciences)

Abstract

:
The water soluble ionic species (WSIS) i.e., NH4+, SO42−, NO3 and Cl of PM2.5 and trace gases (NH3, NO, NO2, SO2, HNO3) were measured to study the relationship of ambient NH3 in the formation of secondary inorganic aerosols in Delhi, India from January 2013–December 2018. During the study period, the average concentrations of NH3, NO, NO2, SO2 and HNO3 were 19.1 ± 3.8 ppb, 20.8 ± 4.3 ppb, 17.9 ± 4.2 ppb, 2.45 ± 0.47 ppb, 1.11 ± 0.35 ppb, respectively. The concentrations of trace gases were higher during post-monsoon whereas the concentrations of WSIS in PM2.5 were estimated higher in winter. The correlation matrix of trace gases reveal that the ambient NH3 neutralize the acid gases (NO, NO2 and SO2) at the monitoring site. Study reveals that the abundance of particulate NH4+ at Delhi to neutralized the SO42−, NO3, Cl particles during all the seasons.

1. Introduction

The formation of secondary aerosols in the atmosphere influenced by reaction rate of NH3 which depends on the favorable meteorological condition and availability of acid gases in the atmosphere [1,2]. Fine fraction of particulate matter (PM2.5) is considered as one of the major pollutants having a negative impact on atmospheric chemistry [3,4]. Secondary aerosols contribute to a major fraction of PM2.5 mass concentration which is mainly formed from NH3 and its co-pollutants such as NOx and SOx [5]. NH3 as a primary alkaline gas neutralizes the acid gases (HNO3 and H2SO4) and form the secondary particulates (NH4NO3 and (NH4)2SO4), which are the major fractions of airborne fine particles [6]. In recent past several studies on temporal and spatial changes of ambient NH3, NO, NO2, CO and SO2 have been carried on short-term basis as well as year-long basis at the urban and sub-urban locations of India [7,8,9,10,11]. However, long-term study on seasonal basis as well gas-to-particle conversion is inadequate in Indian region. In this paper, we reported the annual and seasonal changes of ambient NH3, NO, NO2, SO2 and PM2.5 measured for the period of 2013–2018.

2. Materials and Methods

Ambient NH3, NO, NO2, and SO2 were monitored at CSIR-National Physical Laboratory, New Delhi from January 2013 to December 2018. 24 h periodic sampling (2 samples/week) of PM2.5 was also performed during this period on quartz filters. Ground based analyzers were used to continuous measurement of trace gases (NH3, NO, NO2 and SO2) at 10 m height from the surface level [11]. The estimation of WSICs (Na+, NH4+, K+, Ca2+, Mg2+, Cl, NO3 and SO42−) of PM2.5 were determined using Ion Chromatograph (DIONEX, Sunnyvale, CA, USA) with suppressed conductivity [12].

3. Results and Discussion

During the study period (2013–2018), the average levels of NH3, NO, NO2, SO2 and HNO3 were 19.1 ± 3.8 ppb, 20.8 ± 4.3 ppb, 17.9 ± 4.2 ppb, 2.45 ± 0.47 ppb, 1.11 ± 0.35 ppb, respectively whereas the levels of NH4+, SO42−, NO3 and Cl of PM2.5 were 9.1 ± 3.5 µg m−3, 12.3 ± 4.1 µg m−3, 10.8 ± 4.8 µg m−3 and 9.3 ± 3.2 µg m−3, respectively. Seasonal mixing ratios of NH3, other trace gases (NO, NO2 and SO2) and concentrations of water soluble ionic components (WSICs) of PM2.5 are depicted in Table 1 and Table 2. The ambient NH3 indicated significant seasonal variation with highest mixing ratio during post-monsoon season (22.2 ± 3.9 ppb) followed by winter (20.9 ± 4.1 ppb), summer (19.4 ± 4.1 ppb) and monsoon (14.0 ± 2.5 ppb) seasons.
The higher concentration of NH4+ during winter season at the observational site of Delhi may be due to high (relative humidity) RH, low temperature and higher NH3 mixing ratio influenced the NH4+ formation [13]. In winter, nitrates availability was significant due to possible reduction in SO2 oxidation rates in response to lower level of hydroxyl (OH) radical [14]. A relationship of particulate NH4+ with SO42−, NO3 and Cl during all the seasons supports the hypothesis of gas-to-particle conversion. The highest average molar ratio of NH4+ to the SO42− during winter (4.86) followed by post-monsoon (4.38), summer (3.61) and monsoon (2.1) seasons indicated the complete neutralization of H2SO4, abundance of (NH4)2SO4 and NH3-rich condition during the winter season [11]. Since NH3 is the only alkaline gas in the atmosphere with adequate level to neutralize a significant portion of SO42−, NO3 and Cl therefore the aerosol electro-neutrality relationship between NH4+ and SO42−, NO3 and Cl ions can be computed [15].

4. Conclusions

The average levels of all trace gases (NH3, NO, NO2 and SO2) were observed higher during post-monsoon season whereas the mass concentrations of WSICs of PM2.5 were higher in winter seasons. The correlation matrix of trace gases demonstrated that the ambient NH3 neutralize all the acid gases (NO, NO2 and SO2) at Delhi during the study period.

Author Contributions

Conception and design of the study were planned by S.K.S.; Data analysis were performed by G.K., T.K.M. and S.K.S.; The original first draft was written by G.K. All authors have read and agreed to the published version of the manuscript.

Funding

The authors also acknowledge Council of Scientific and Industrial Research (CSIR), New Delhi (CSIR EMPOWER Project: OLP-102132) and Department of Science and Technology, New Delhi (Grant No.: SR/S4/AS:12/2008) for financial support.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets are available with corresponding author and will be provided on reasonable request.

Acknowledgments

Authors express sincere gratitude to the Director, CSIR-NPL, New Delhi-110012, India as well as Academy of Scientific and Innovative Research (AcSIR) for the constant encouragement and support to carry out this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ianniello, A.; Spataro, F.; Esposito, G.; Allegrini, I.; Hu, M.; Zhu, T. Chemical characteristics of inorganic ammonium salts in PM2.5 in the atmosphere of Beijing (China). Atmos. Chem. Phys. 2011, 11, 10803–10822. [Google Scholar] [CrossRef]
  2. Meng, Z.Y.; Lin, W.L.; Jiang, X.M.; Yan, P.; Wang, Y.; Zhang, Y.M.; Yu, X.L. Characteristics of atmospheric ammonia over Beijing, China. Atmos. Chem. Phys. 2011, 11, 6139–6151. [Google Scholar] [CrossRef]
  3. Pant, P.; Harrison, R.M. Critical review of receptor modelling for particulate matter: A case study of India. Atmos. Environ. 2012, 49, 1–12. [Google Scholar] [CrossRef]
  4. Sharma, S.K.; Mukherjee, S.; Choudhary, N.; Rai, A.; Ghosh, A.; Chatterjee, A.; Vijayan, N.; Mandal, T.K. Seasonal variation and sources of carbonaceous species and elements of PM2.5 and PM10 over the eastern Himalaya. Environ. Sci. Pollut. Res. 2021, 28, 51642–51656. [Google Scholar] [CrossRef] [PubMed]
  5. Singh, N.; Murari, V.; Kumar, M.; Barman, S.C.; Banerjee, T. Fine particulates over South Asia: Review and meta-analysis of PM2.5 source apportionment through receptor model. Environ. Pollut. 2017, 223, 121–136. [Google Scholar] [CrossRef] [PubMed]
  6. Huang, X.F.; He, L.Y.; Hu, M.; Canagaratna, M.R.; Sun, Y.; Zhang, Q.; Zhu, T.; Xue, L.; Zeng, L.W.; Liu, X.G.; et al. Highly time-resolved chemical characterization of atmospheric submicron particles during 2008 Beijing Olympic Games using an Aerodyne High-Resolution Aerosol Mass Spectrometer. Atmos. Chem. Phys. 2010, 10, 8933–8945. [Google Scholar] [CrossRef]
  7. Khemani, L.T.; Momin, G.A.; Naik, M.S.; Rao, P.P.; Safai, P.D.; Murty, A.S.R. Influence of alkaline particulates on pH of cloud and rain water in India. Atmos. Environ. 1987, 21, 1137–1145. [Google Scholar] [CrossRef]
  8. Parmar, R.S.; Satsangi, G.S.; Lakhani, A.; Srivastava, S.S.; Prakash, S. Simultaneous measurements of ammonia and nitric acid in ambient air at Agra (27°10′ N and 78°05′ E) (India). Atmos. Environ. 2001, 35, 5979–5988. [Google Scholar] [CrossRef]
  9. Sharma, S.K.; Datta, A.; Saud, T.; Saxena, M.; Mandal, T.K.; Ahammed, Y.N.; Arya, B.C. Seasonal variability of ambient NH3, NO, NO2 and SO2 over Delhi. J. Environ. Sci. 2010, 22, 1023–1028. [Google Scholar] [CrossRef]
  10. Saraswati; Sharma, S.K.; Mandal, T.K. Five-year measurement of ambient ammonia and its interaction with other trace gases at an urban site of Delhi, India. Meteo. Atmos. Phys. 2018, 130, 241–257. [Google Scholar] [CrossRef]
  11. Sharma, S.K.; Saxena, M.; Mandal, T.K. Characteristics of gaseous and particulate ammonia and their role in the formation of secondary inorganic particulate matter at Delhi, India. Atmos. Res. 2019, 218, 34–49. [Google Scholar]
  12. Sharma, S.K.; Mandal, T.K.; Kumar, M.; Gupta, N.C.; Pathak, H.; Harit, R.C.; Saxena, M. Measurement of ambient ammonia over the National Capital Region of Delhi, India. MAPAN 2014, 29, 165–173. [Google Scholar] [CrossRef]
  13. Khoder, M.I. Atmospheric conversion of sulfur dioxide to particulate sulfate and nitrogen dioxide to particulate nitrate and gaseous nitric acid in an urban area. Chemosphere 2002, 49, 675–684. [Google Scholar] [CrossRef]
  14. Walker, J.T.; Whitall, D.R.; Robarge, W.; Paerl, H.W. Ambient ammonia and ammonium aerosol across a region of variable ammonia emission density. Atmos. Environ. 2004, 38, 1235–1246. [Google Scholar] [CrossRef]
  15. Behera, S.N.; Sharma, M. Investigating the potential role of ammonia in ion chemistry of fine particulate matter formation for an urban environment. Sci. Total Environ. 2010, 408, 3569–3575. [Google Scholar] [CrossRef] [PubMed]
Table 1. Seasonal variation in trace gases (in ppb) in Delhi during 2013–2018.
Table 1. Seasonal variation in trace gases (in ppb) in Delhi during 2013–2018.
SeasonsNH3NO2NOSO2
Winter20.9 ± 4.117.7 ± 4.518.1 ± 4.42.24 ± 0.37
Summer19.4 ± 4.119.1 ± 4.321.4 ± 5.42.25 ± 0.43
Monsoon14.0 ± 2.514.9 ± 3.720.4 ± 5.32.55 ± 0.26
Post-Monsoon22.2 ± 3.920.0 ± 4.223.3 ± 4.52.77 ± 0.36
Average19.1 ± 3.817.9 ± 4.220.8 ± 4.32.45 ± 0.47
Table 2. Seasonal variation of WSIC of PM2.5 (in µg m−3) in Delhi during 2013–2018.
Table 2. Seasonal variation of WSIC of PM2.5 (in µg m−3) in Delhi during 2013–2018.
SeasonsPM2.5ClSO42+NO3NH4+
Winter190 ± 8215.6 ± 8.919.6 ± 6.922.7 ± 9.517.5 ± 2.8
Summer92 ± 307.5 ± 3.18.5 ± 2.25.0 ± 2.85.8 ± 3.5
Monsoon86 ± 336.2 ± 2.19.9 ± 1.94.7 ± 2.43.9 ± 1.2
Post-Monsoon171 ± 727.8 ± 3.011.3 ± 3.410.9 ± 3.89.3 ± 4.4
Average135 ± 459.3 ± 3.212.3 ± 4.110.8 ± 4.89.1 ± 3.5
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MDPI and ACS Style

Kotnala, G.; Sharma, S.K.; Mandal, T.K. Study on the Relationship of WSIS of PM2.5 with NH3 and Other Trace Gases over Delhi, India. Environ. Sci. Proc. 2022, 19, 24. https://doi.org/10.3390/ecas2022-12817

AMA Style

Kotnala G, Sharma SK, Mandal TK. Study on the Relationship of WSIS of PM2.5 with NH3 and Other Trace Gases over Delhi, India. Environmental Sciences Proceedings. 2022; 19(1):24. https://doi.org/10.3390/ecas2022-12817

Chicago/Turabian Style

Kotnala, Garima, Sudhir Kumar Sharma, and Tuhin Kumar Mandal. 2022. "Study on the Relationship of WSIS of PM2.5 with NH3 and Other Trace Gases over Delhi, India" Environmental Sciences Proceedings 19, no. 1: 24. https://doi.org/10.3390/ecas2022-12817

APA Style

Kotnala, G., Sharma, S. K., & Mandal, T. K. (2022). Study on the Relationship of WSIS of PM2.5 with NH3 and Other Trace Gases over Delhi, India. Environmental Sciences Proceedings, 19(1), 24. https://doi.org/10.3390/ecas2022-12817

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