Next Article in Journal
Climatic Variability of Precipitation Simulated by a Regional Dynamic Model in Tropical South America
Previous Article in Journal
Detection of Endocrine Disruptor Bisphenol A and Bisphenol S in Bangladeshi Thermal Paper Receipts
 
 
Please note that, as of 4 December 2024, Environmental Sciences Proceedings has been renamed to Environmental and Earth Sciences Proceedings and is now published here.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Elemental Variation and Health Risk Assessment of PM2.5 at Delhi during North-East Monsoon and South-West Monsoon †

1
Environmental Sciences and Biomedical Metrology Division, CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, 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), 62; https://doi.org/10.3390/ecas2022-12842
Published: 22 July 2022
(This article belongs to the Proceedings of The 5th International Electronic Conference on Atmospheric Sciences)

Abstract

:
This study elucidates the variation of PM2.5 concentrations in Delhi during the north-east monsoon (NEM) and the south-west monsoon (SWM) period of 2014–2019. The average concentrations of PM2.5 were 113 ± 48 µg/m3 and 50 ± 19 µg/m3 during NEM and SWM, respectively. Further, the elemental composition of PM2.5 was analyzed using wavelength dispersive X-ray Fluorescence (WD-XRF). During NEM, it was observed that the Na, Cl and S dominating over the region, whereas Na, S, Al, dominated during the SWM season. Backward trajectories analysis suggested the long-range transportation of air mass from the Sahara Desert (SD), Arabian Sea (AS), and Bay of Bengal (BOB) for both the seasons (NEM and SWM), thus significantly affecting the loading of mass concentration of PM2.5 at the study site of Delhi. We also evaluated the hazard quotient (HQ) of elements present in PM2.5 over Delhi during this period.

1. Introduction

Delhi, India’s capital, has been named one of the world’s worst megacities for air quality [1]. The NCR is the nation’s hub, with a significant commercial, economic, defensive, industrial, and political institution [2]. In the ambient air, fine particulate matter (PM2.5) has a significant influence on human health, causing tenderness on the lung’s surface [3] because fine particle has a higher surface area than coarse particles. It is more prone to captivate hazardous or toxic components such as heavy metals. The concentration of toxic heavy metals (such as Cd, Pb, As and Cr) in PM2.5 is high and can be breathed straight into the respiratory system and become bioavailable [4]. Several metals, including Mn, Fe, Cu, Al, Ba, and Pb, are extensively disseminated in PM and are thus suspected of being a significant cause of PM toxicity [5]. Heavy metal concentrations in atmospheric aerosols have increased intensely in recent years, owing primarily to substantial anthropogenic activity, secondary sources, and forest fires [6]. Ni, Cd, and Cr are all listed as class I carcinogenic pollutants by the International Agency for Research on Cancer (IARC) [7]. Heavy metals contribute only a minor portion of PM2.5. Through inhalation, metals cause health risks to humans [4]. In this study, we observed the mass concentration of PM2.5, its elements and health risk.

2. Location and Sample Collection

Fine particulate (PM2.5) samples were collected at CSIR- National Physical Laboratory (NPL), New Delhi (28°38′ N, 76°22′) (Figure 1). The sampling location depicts a typical metropolitan area surrounded by agricultural land and roadside traffic in the southwest direction. During the north-east monsoon (winter) air mass movement is from north-east to the north-west and south-west monsoon (summer) from the south-east to the southwest [1]. Delhi suffers from a significant haze, fog, and cheap visibility during winter and summer. Mineral dust contributes considerably to the formation of aerosol due to dust storms [8]. PM2.5 samples were collected using fine particulate sampler with a flow rate of 1 m3 h−1 on QMA filters with a diameter of 47 mm. Before sampling, to eliminate all traces of organic pollutants and moisture, QMA filters were pre-baked for 4–6 h at 500 °C. Details are given in previous publications [9,10].

3. Methodology

3.1. Chemical Analysis

The non-destructive elemental analysis of 15 elements (S, Na, Cl, Ca, Al, K, Mg, P, Cu, Fe, Cr, Zn, Ag, As, and Cd) deposited on PM2.5 filters were performed using Wavelength Dispersive X-ray Fluorescence Spectrometer (WD-XRF) the Rigaku ZSX Primus. Blank filters were used for the measurements, and loaded filter intensities were corrected. Detailed description is available in previous paper [1].

3.2. Human Health Risk Assessment

The United States Environmental Protection Agency (EPA) provided this model [4]. Human health risk assessment can assess the health impacts of environmental pollutant exposure (both non-carcinogenic and carcinogenic). When inhaled, elements bounded with PM2.5 in the ambient air can easily permeate deep into human lung tissues. Heavy metals have different effects depending on their toxicity, period of exposure, and concentration [11].

4. Results

4.1. PM2.5 Concentration and Elemental Concentration

Ambient air mass concentrations of PM2.5 during NEM and SWM were 113 ± 48 µg/m3 and 50 ± 19 µg/m3 (Figure 2), respectively, which were lower than earlier reported observations [1,8,12]. Concentrations of dominant elements Na, Cl, S were higher during NEM than during SWM. In earlier reports [13,14] concentration of K and Ca were noticed maximum during winter and summer.

4.2. Human Health Risk Assessment

Health risk assessment was also performed for toxic elements Cd, As, Cr, shown in Table 1. The hazard quotient (HQ) and carcinogenic risk (CR) for children and adults for the elements Cd, As, and Cr was less than 1indicates the non-hazardous elements.

5. Conclusions

In the present study, the concentration of PM2.5 and the metals associated with it shows the seasonal variations during the NEM and SWM and higher concentration of PM2.5 occurred during NEM. Health risk assessments for carcinogenic and non-carcinogenic for Cd, As, and Cr are under the safe limit.

Author Contributions

M.R., S.G., R.B., A.R., S.C., R.A. and P.Y. have collected PM2.5 samples at CSIR-NPL, Delhi. M.R., S.A. and S.G. analyzed the metal data using ED-XRF. M.R. has analyzed data and taken lead in drafting manuscript. N.V. provided the ED-XRF facility. T.K.M. and S.K.S. has conceptualized the program and involved in data analysis, reviewing, proofreading and overall supervision. All authors have read and agreed to the published version of the manuscript.

Funding

The authors are thankful to Ministry of Environment Forest and climate change (MOEFCC) (Grant No. 14/10/2014-CC (Vol. II) dated 30 March 2016) Govt. of India for financial support for this work.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

Authors are thankful to the Director, CSIR-NPL and Head, Environmental sciences and Biomedical Metrology Division (ES & BMD), CSIR-NPL, New Delhi for their encouragement.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jain, S.; Sharma, S.K.; Choudhary, N.; Masiwal, R.; Saxena, M.; Sharma, A.; Mandal, T.K.; Gupta, A.; Gupta, N.C.; Sharma, C. Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India. Environ. Sci. Pollut. Res. 2017, 24, 14637–14656. [Google Scholar] [CrossRef]
  2. Nagar, S.K.; Singh, D.; Sharma, M.; Kumar, A.; Aneja, V.P.; George, M.P.; Agarwal, N.; Shukla, S.P. Characterization of PM2.5 in Delhi: Role and impact of secondary aerosol, burning of biomass, and municipal solid waste and crustal matter. Environ. Sci. Pollut. Res. 2017, 24, 25179–25189. [Google Scholar] [CrossRef]
  3. Xia, L.; Gao, Y. Characterization of trace elements in PM2.5 aerosols in the vicinity of highways in northeast New Jersey in the US east coast. Atmos. Pollut. Res. 2011, 2, 34–44. [Google Scholar] [CrossRef]
  4. Wu, L.; Xia Luo, X.S.; Li, H.; Cang, L.; Yang, J.; Zhao, Z.; Tang, M. Seasonal Levels, Sources, and Health Risks of Heavy Metals in Atmospheric PM2.5 from Four Functional Areas of Nanjing City, Eastern China. Atmosphere 2019, 10, 419. [Google Scholar] [CrossRef]
  5. Varshney, P.; Saini, R.; Taneja, A. Trace element concentration in fine particulate matter (PM2.5) and their bioavailability in different microenvironments in Agra, India: A case study. Environ. Geochem. Health 2016, 38, 593–605. [Google Scholar] [CrossRef] [PubMed]
  6. Elhadi, R.E.; Abdullah, A.M.; Abdullah, A.H.; Ash’aari, Z.H.; Khan, M.F. Seasonal Variations of Atmospheric Particulate Matter and its Content of Heavy Metals in Klang Valley, Malaysia. Aero. Air Qual. Res. 2017, 18, 1148–1161. [Google Scholar] [CrossRef]
  7. Liu, K.; Shang, Q.; Wan, C. Sources and Health Risks of Heavy Metals in PM2.5 in a Campus in a Typical Suburb Area of Taiyuan, North China. Atmosphere 2018, 9, 46. [Google Scholar] [CrossRef]
  8. Sharma, S.K.; Mandal, T.K.; Jain, S.; Sharma, A.S.; Saxena, M. Source apportionment of PM2.5 in Delhi. Bull. Environ. Contam. Toxicol. 2016, 97, 286–293. [Google Scholar] [CrossRef] [PubMed]
  9. Sen, A.; Ahammed, Y.N.; Arya, B.C.; Banerjee, T.; Reshma Begam, G.; Baruah, B.P.; Chatterjee, A.; Choudhuri, A.K.; Dhir, A.; Das, T.; et al. Atmospheric Fine and Coarse Mode Aerosols at Different Environments of India and the Bay of Bengal during Winter-2014: Implications of a Coordinated Campaign. MAPAN 2014, 29, 273–284. [Google Scholar] [CrossRef]
  10. Sen, A.; Abdelmaksoud, A.S.; Ahammed, Y.N.; Alghamdi, M.A.; Banerjee, T.; Bhat, M.A.; Chatterjee, A.; Choudhuri, A.K.; Das, T.; Dhir, A.; et al. Variations in particulate matter over Indo-Gangetic Plains and Indo Himalayan Range during four field campaigns in winter monsoon and summer monsoon: Role of pollution pathways. Atmos. Environ. 2017, 154, 200–224. [Google Scholar]
  11. Varshney, P.; Bansal, R.; Tiwari, R.; Halve, A.K.; Ajay Taneja, A. Atmospheric Concentration of Trace Metals in PM2.5 and Their Bioavailability in Different Areas of Gwalior Region. SSRG Int. J. Appl. Chem. 2019, 6, 2. [Google Scholar] [CrossRef]
  12. Mandal, P.; Sarkar, R.; Mandal, A.; Saud, T. Seasonal variation and sources of aerosol pollution in Delhi, India. Environ. Chem. Lett. 2014, 12, 529–534. [Google Scholar] [CrossRef]
  13. Guo, Q.; Li, L.; Zhao, X.; Yin, B.; Liu, Y.; Wang, X.; Yang, W.; Geng, C.; Wang, X.; Bai, Z. Source Apportionment and Health Risk Assessment of Metal Elements in PM2.5 in Central Liaoning,s Urban Agglomeration. Atmosphere 2021, 12, 667. [Google Scholar] [CrossRef]
  14. Panwar, P.; Prabhu, V.; Soni, A.; Punetha, D.; Shridhar, V. Sources and health risks of atmospheric particulate matter at Bhagwanpur, an industrial site along the Himalayan foothills. SN Appl. Sci. 2020, 2, 632. [Google Scholar] [CrossRef]
Figure 1. Sampling site.
Figure 1. Sampling site.
Environsciproc 19 00062 g001
Figure 2. PM2.5 concentrations during NEM and SWM.
Figure 2. PM2.5 concentrations during NEM and SWM.
Environsciproc 19 00062 g002
Table 1. Carcinogenic and non-carcinogenic risk over Delhi.
Table 1. Carcinogenic and non-carcinogenic risk over Delhi.
SeasonElementsNon-Carcinogenic Carcinogenic
HQChildrenAdults
NEMCd9.7 × 10−37.04 × 10−71.76 × 10−7
As6.5 × 10−33.36 × 10−78.41 × 10−8
Cr1.19 × 10−35.72 × 10−91.43 × 10−9
SWMCr3.2 × 10−32.78 × 10−96.95 × 10−10
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rani, M.; Ahlawat, S.; Gupta, S.; Banoo, R.; Rai, A.; Arya, R.; Yadav, P.; Choudhary, S.; Vijayan, N.; Mandal, T.K.; et al. Elemental Variation and Health Risk Assessment of PM2.5 at Delhi during North-East Monsoon and South-West Monsoon. Environ. Sci. Proc. 2022, 19, 62. https://doi.org/10.3390/ecas2022-12842

AMA Style

Rani M, Ahlawat S, Gupta S, Banoo R, Rai A, Arya R, Yadav P, Choudhary S, Vijayan N, Mandal TK, et al. Elemental Variation and Health Risk Assessment of PM2.5 at Delhi during North-East Monsoon and South-West Monsoon. Environmental Sciences Proceedings. 2022; 19(1):62. https://doi.org/10.3390/ecas2022-12842

Chicago/Turabian Style

Rani, Martina, Sakshi Ahlawat, Sakshi Gupta, Rubiya Banoo, Akansha Rai, Rahul Arya, Pooja Yadav, Sashank Choudhary, Narayanasamy Vijayan, Tuhin Kumar Mandal, and et al. 2022. "Elemental Variation and Health Risk Assessment of PM2.5 at Delhi during North-East Monsoon and South-West Monsoon" Environmental Sciences Proceedings 19, no. 1: 62. https://doi.org/10.3390/ecas2022-12842

APA Style

Rani, M., Ahlawat, S., Gupta, S., Banoo, R., Rai, A., Arya, R., Yadav, P., Choudhary, S., Vijayan, N., Mandal, T. K., & Sharma, S. K. (2022). Elemental Variation and Health Risk Assessment of PM2.5 at Delhi during North-East Monsoon and South-West Monsoon. Environmental Sciences Proceedings, 19(1), 62. https://doi.org/10.3390/ecas2022-12842

Article Metrics

Back to TopTop