Next Article in Journal
Characteristics and Sources of Trace Elements in Fine Mode Aerosols in Delhi: A Long-Term Trend Analysis (2013–2021)
Previous Article in Journal
Computational Fluid Dynamics Models to Estimate Pedestrian Exposure to Traffic-Related Air Pollution: A Review
 
 
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

Mineralogical Characterization of PM10 over the Central Himalayan Region †

1
CSIR-National Physical Laboratory, Dr. K S Krishnan Road, New Delhi 110012, India
2
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
3
Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital 263002, India
*
Author to whom correspondence should be addressed.
Presented at the 6th International Electronic Conference on Atmospheric Sciences, 15–30 October 2023; Available online: https://ecas2023.sciforum.net/.
Environ. Sci. Proc. 2023, 27(1), 10; https://doi.org/10.3390/ecas2023-15923
Published: 8 November 2023
(This article belongs to the Proceedings of The 6th International Electronic Conference on Atmospheric Sciences)

Abstract

:
The air quality of the Himalayan region of India is deteriorating due to the increasing load of particulate matter that is emitted from various local and regional sources, as well as to the transit of dust-related pollutants from the Indo-Gangetic Plain (IGP) and surrounding areas. In this study, the mineralogical characteristics of coarse mode particulate matter (PM10) was analyzed using the X-ray diffraction (XRD) technique from January to December 2019 over Nainital (29.39° N, 79.45° E; altitude: 1958 m above mean sea level), a central Himalayan region of India. XRD analysis of PM10 samples showed the presence of clay minerals, crystalline silicate minerals, carbonate minerals, and asbestiform minerals. It was shown that quartz minerals with significant levels of crystallinity were present in all the samples. Other minerals that are contributing to the soil dust were also observed in the analysis (CaFe2O4, CaCO3, CaMg(CO3)2, calcium ammonium silicate hydrate (C-A-S-H), gypsum, kaolinite, illite, augite, and montmorillonite). The minerals ammonium sulphate, hematite, and magnetite were also found in the samples and are suggested to be from biogenic and anthropogenic activities, including biomass burning, fuel combustion, vehicle exhaust, construction activities, etc. This study indicated that the majority of the minerals in PM10 that were present in this Himalayan region are from soil/crustal dust.

1. Introduction

The Indian Himalayan Region (IHR) is renowned for its pristine nature, ecological fragility, abundant biodiversity, and remarkable vulnerability, making it one of the most crucial regions on the Earth [1,2,3]. The central Himalayan region of India is widely recognized for its unique geological and environmental attributes [4,5,6]. Urbanization in and around the Himalayas has led to increased energy consumption, resulting in disturbances to the temperature of the Himalayas and the degradation of its air quality [7,8]. One of the main reasons for the deteriorating air quality is an increase in the load of particulate matter (PM) emissions over the region. These PM emissions are known to generally rise from local and regional sources, as well as from the migration of dust-related pollutants from the Indo-Gangetic Plain (IGP) and surrounding areas [4,5,9]. Hence, to achieve a better understanding of the composition, sources, and potential impact of PM in the central Himalayan region, mineralogical characterization of PM10 has been conducted. This study aims to analyze and identify the mineral components present in the PM, particularly focusing on the coarse-mode particulate matter (PM10) fraction.

2. Materials and Methods

2.1. Study Area and Sampling

This study was conducted in ARIES, Nainital, a central Himalayan region of India (29.39° N, 79.45° E, 1959 m amsl) (Figure 1). Twenty-four-hour PM10 sampling was performed from January to December 2019 using a high-volume sampler with an average flow rate of 1.2 m3 min−1 and with a flow accuracy of ±2% of full scale. Detailed information regarding sampling procedures and instrumentation can be found in earlier publications [5].

2.2. X-ray Diffraction Analysis

X-ray diffraction (XRD) analysis was performed on the collected PM10 samples to determine the mineralogical characteristics. The XRD technique made this possible by identifying and quantifying the mineral contents in the sample based on their unique diffraction patterns. The XRD measurements were conducted using a Rigaku Ultima IV instrument. The samples were scanned during the XRD investigation at a Bragg angle (2θ) varying from 10 to 60 degrees to gather the X-ray diffraction data; 3° per minute was the scanning speed employed. As the X-ray source, a copper (Cu) Kα-line with a wavelength of 1.54 Å was used. Mineral identification was carried out by comparing the peak positions (2θ) from the XRD data with the reported literature [10,11,12] and the RRUFF database of a reference standard.

3. Results and Discussion

3.1. Mineralogical Composition

The XRD analysis of PM10 revealed the presence of various minerals. Illite, kaolinite, montmorillonite, quartz, dolomite, calcite, magnetite, hematite, gypsum, halite, mascagnite, augite, albite, wollastonite, and calcium aluminum silicate hydrate (C-A-S-H) are the common minerals that were detected in all the samples (Table 1). Figure 2 shows the XRD pattern of the mineral contents that were present in PM10 samples. It is important to note that these minerals may be found in various environmental contexts, and their presence can have different implications depending on the concentrations. Additionally, some of the minerals mentioned can have multiple sources and pathways of formation. Understanding their sources and impacts is crucial for environmental and health considerations.

3.2. Soil-Dust Composition

We used a quartz fiber filter that has a silicate composition for the sampling of PM10 samples, and also, it is the mineral that is present in the soil/crustal dust samples. Quartz minerals with significant crystallinity were consistently detected in all the samples, indicating their ubiquitous presence. Previous studies illustrated that the presence of quartz mineral in the samples was due to the geographical characteristics of the respective locations, i.e., soil, land cover, land-use pattern, road length, etc. [10,11,12,13,14,15]. Dolomite, albite, and augite (small amount) are other minerals detected in the PM10 samples, which have natural/geological origin, i.e., they originated from soil and road dust, weathering of rocks, etc. [10,11,16].

3.3. Anthropogenic Contribution

The minerals calcite, kaolinite, illite, montmorillonite, magnetite, hematite, gypsum, and wollastonite were found in PM10 samples that originated from both geogenic as well as biogenic and anthropogenic sources. The minerals illite [10,11,17], kaolinite [10,11,12,16], and montmorillonite [11,14] primarily originated from geological processes and various industrial processes, agricultural activities, combustion activities (fossil fuel, biomass burning, etc.) and were also responsible for the generation of these minerals in the air [5,10,14,16]. Hematite [11,14,15] and magnetite [12] both are Fe-containing minerals that primarily originated from soil erosion, the weathering of rocks, and dust storms and also from various human activities such as iron and steel production, combustion (vehicular emission and power plants), and iron and steel wear from brake pads and tires [13,14,15,16]. Candeias et al. (2020) illustrated that the mineral containing Fe, Cu, Zn, S, Al, Ti, and Sb composition originated from anthropogenic activities like brake pads, brake disc abrasion, road wear, etc. [15]. Gypsum [12], C-A-S-H [10,12], and wollastonite [12] are the minerals of which Ca majorly contributed to their composition. These minerals originated through mining, construction, and demolition activities [10,12]. Mascagnite, i.e., ammonium sulphate, is a major contributor through a secondary reaction that is occurring in the atmosphere [12]. The main sources of mascagnite in PM10 are fossil fuel burning (coal and oil), industrial emissions, biomass burning, waste incineration, etc. [6]. Halite is the salt mineral that is used as a de-icing agent during winters [12]. Various studies illustrated the transport of dust aerosols from the Indo-Gangetic Plain (IGP), the Thar Desert, the Bay of Bengal (BoB), and other regional countries toward the IHR [3,5].

4. Conclusions

Through the mineralogical characterization of PM10 collected over the central Himalayan region of India from January to December 2019, valuable insights have been gained regarding the types of minerals present in the airborne particles. The present study sheds light on the sources and origins of these minerals, such as natural dust, anthropogenic emissions, or a combination thereof. Certain minerals such as quartz, dolomite, albite, and augite have been found in this study to have natural origins. Additionally, minerals like illite, kaolinite, montmorillonite, hematite, magnetite, gypsum, calcium aluminum silicate, ammonium sulphate, halite, etc., associated with the biogenic and anthropogenic activities like combustion, mining, construction, demolition, etc., have also been detected. Hence, by understanding the mineralogical characteristics of PM, policymakers, scientists, and environmentalists can gain crucial insights into the sources, compositions, and potential health impacts of PM.

Author Contributions

Chemical analysis, writing—original draft preparation, writing—review and editing, S.G.; sample collection, chemical analysis, data curation, writing—review and editing, P.S., N.C. and S.G.; conceptualization, investigation, supervision, funding acquisition, S.K.S. and M.N. All authors have read and agreed to the published version of the manuscript.

Funding

The authors also acknowledge the Department of Science and Technology (DST), New Delhi, India, for financial support for this study (DST/CCP/Aerosol/88/2017).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets are available from the corresponding authors and will be provided upon reasonable request.

Acknowledgments

The authors are thankful to the Environmental Sciences and Biomedical Metrology Division, CSIR-NPL, New Delhi, for their encouragement for this study.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Yuan, Q.; Wan, X.; Cong, Z.; Li, M.; Liu, L.; Shu, S.; Liu, R.; Xu, L.; Zhang, J.; Ding, X.; et al. In situ observations of light-absorbing carbonaceous aerosols at Himalaya: Analysis of the south Asian sources and trans-Himalayan valleys transport pathways. J. Geophys. Res. 2020, 125, e2020JD032615. [Google Scholar] [CrossRef]
  2. Yang, J.; Ji, Z.; Kang, S.; Tripathee, L. Contribution of south Asian biomass burning to black carbon over the Tibetan Plateau and its climatic impact. Environ. Pollut. 2021, 270, 116195. [Google Scholar] [CrossRef] [PubMed]
  3. Rai, A.; Mukherjee, S.; Choudhary, N.; Ghosh, A.; Chatterjee, A.; Mandal, T.; Sharma, S.K.; Kotnala, R. Seasonal transport pathway and sources of carbonaceous aerosols at an urban site of eastern Himalaya. Aerosol Sci. Eng. 2021, 5, 318–343. [Google Scholar] [CrossRef]
  4. Sharma, S.K.; Choudhary, N.; Srivastava, P.; Naja, M.; Vijayan, N.; Kotnala, G.; Mandal, T.K. Variation of carbonaceous species and trace elements in PM10 at a mountain site in the central Himalayan region of India. J. Atmos. Chem. 2020, 77, 49–62. [Google Scholar] [CrossRef]
  5. Choudhary, N.; Srivastava, P.; Dutta, M.; Mukherjee, S.; Rai, A.; Kuniyal, J.C.; Lata, R.; Chatterjee, A.; Naja, M.; Vijayan, N.; et al. Seasonal Characteristics, Sources and Pollution Pathways of PM10 at High Altitudes Himalayas of India. Aerosol Air Qual. Res. 2022, 22, 220092. [Google Scholar] [CrossRef]
  6. Choudhary, N.; Rai, A.; Kuniyal, J.C.; Srivastava, P.; Lata, R.; Dutta, M.; Ghosh, A.; Dey, S.; Sarkar, S.; Gupta, S.; et al. Chemical Characterization and Source Apportionment of PM10 Using Receptor Models over the Himalayan Region of India. Atmosphere 2023, 14, 880. [Google Scholar] [CrossRef]
  7. Ram, K.; Sarin, M.M. Spatio-temporal variability in atmospheric abundances of EC, OC and WSOC over Northern India. J. Aerosol Sci. 2010, 41, 88–98. [Google Scholar] [CrossRef]
  8. Sharma, S.K.; Mukherjee, S.; Choudhary, N.; Rai, A.; Ghosh, A.; Chatterjee, A.; Vijayan, N.; Mandal, T. Seasonal variation and sources of carbonaceous species and elements in PM2.5 and PM10 over the eastern Himalaya. Environ. Sci. Pollut. Res. 2021, 28, 51642–51656. [Google Scholar] [CrossRef] [PubMed]
  9. Jain, S.; Sharma, S.K.; Srivastava, M.K.; Chatterjee, A.; Singh, R.K.; Saxena, M.; Mandal, T.K. Source Apportionment of PM10 Over Three Tropical Urban Atmospheres at Indo-Gangetic Plain of India: An Approach Using Different Receptor Models. Arch. Environ. Contam. Toxicol. 2019, 76, 114–128. [Google Scholar] [CrossRef] [PubMed]
  10. Bora, J.; Deka, P.; Bhuyan, P.; Sarma, K.P.; Hoque, R.R. Morphology and mineralogy of ambient particulate matter over mid-Brahmaputra Valley: Application of SEM–EDX, XRD, and FTIR techniques. SN Appl. Sci. 2021, 3, 137. [Google Scholar] [CrossRef]
  11. Neupane, B.B.; Sharma, A.; Giri, B.; Joshi, M.K. Characterization of airborne dust samples collected from core areas of Kathmandu Valley. Heliyon 2020, 6, e03791. [Google Scholar] [CrossRef] [PubMed]
  12. Kimothi, S.; Chilkoti, S.; Rawat, V.; Thapiyal, A.; Gautam, A.S.; Gautam, S. Micro- to macro-scaling analysis of PM2.5 in sensitive environment of Himalaya, India. Geol. J. 2023, 58, 4360–4378. [Google Scholar] [CrossRef]
  13. Kumar, S.; Jain, M.K. Characterization and morphometric study of household settled dust: A case study in Dhanbad, the coal capital of India. Appl. Geochem. 2022, 144, 105398. [Google Scholar] [CrossRef]
  14. Senthil Kumar, R.; Rajkumar, P. Characterization of minerals in air dust particles in the state of Tamilnadu, India through FTIR, XRD and SEM analyses. Infrared Phys. Technol. 2014, 67, 30–41. [Google Scholar] [CrossRef]
  15. Candeias, C.; Vicente, E.; Tomé, M.; Rocha, F.; Ávila, P.; Célia, A. Geochemical, Mineralogical and Morphological Characterisation of Road Dust and Associated Health Risks. Int. J. Environ. Res. Public Health 2020, 17, 1563. [Google Scholar] [CrossRef] [PubMed]
  16. Gunawardana, C.; Goonetilleke, A.; Egodawatta, P.; Dawes, L.; Kokot, S. Source characterisation of road dust based on chemical and mineralogical composition. Chemosphere 2012, 87, 163–170. [Google Scholar] [CrossRef] [PubMed]
  17. Nowak, S.; Lafon, S.; Caquineau, S.; Journet, E.; Laurent, B. Quantitative study of the mineralogical composition of mineral dust aerosols by X-ray diffraction. Talanta 2018, 15, 133–139. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Study Area: ARIES, Nainital (Source: Google Earth).
Figure 1. Study Area: ARIES, Nainital (Source: Google Earth).
Environsciproc 27 00010 g001
Figure 2. XRD pattern for the PM10 sample. Quartz (Q), dolomite (D), albite (Al), augite (Au), illite (I), kaolinite (K), montmorillonite (M), hematite (H), magnetite (Mg), gypsum (G), wollastonite (W), mascagnite (AS), and halite (H).
Figure 2. XRD pattern for the PM10 sample. Quartz (Q), dolomite (D), albite (Al), augite (Au), illite (I), kaolinite (K), montmorillonite (M), hematite (H), magnetite (Mg), gypsum (G), wollastonite (W), mascagnite (AS), and halite (H).
Environsciproc 27 00010 g002
Table 1. Minerals, corresponding XRD peak positions (2θ).
Table 1. Minerals, corresponding XRD peak positions (2θ).
MineralChemical Composition
QuartzSiO220.64, 26.50, 40.46
Dolomite(Ca, Mg (CO3)2)30.70, 37.56, 50.52, 50.94
Augite(Ca, Mg, Fe)2Si2O619.80, 30.70, 34.64, 40.46, 40.84, 41.92, 49.56
AlbiteNa(AlSi3O8)13.74, 14.74, 15.96, 23.28, 24.60, 27.96, 53.26
CalciteCaCO323.28, 29.36, 36.06, 47.88, 48.30
KaoliniteAl2O3·2SiO2·2H2O19.80, 20.64, 21.34, 23.28, 24.60, 36.06, 37.56, 38.96, 40.46, 40.85, 47.88, 52.72, 55.22, 56.74
Illite(K, H3O+) (Al, Mg, Fe)2(Si, Al)4O10[(OH)2, (H2O)]17.36, 26.82
Montmorillonite(Na,Ca)0.3(Al,Mg)2SiO4(OH)2·nH2O19.80, 21.34, 34.64
MagnetiteFe3O456.74
HematiteFe2O340.84, 49.56
GypsumCaSO4·2H2O20.64, 23.28
HaliteNaCl31.88, 56.74
Mascagnite(NH4)2SO420.64, 29.36, 34.64, 38.96
WollastoniteCaSiO323.28, 51.96, 53.26
C-A-S-HCa12Al2Si18O51(OH)2·18H2O29.36
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Gupta, S.; Srivastava, P.; Naja, M.; Choudhary, N.; Sharma, S.K. Mineralogical Characterization of PM10 over the Central Himalayan Region. Environ. Sci. Proc. 2023, 27, 10. https://doi.org/10.3390/ecas2023-15923

AMA Style

Gupta S, Srivastava P, Naja M, Choudhary N, Sharma SK. Mineralogical Characterization of PM10 over the Central Himalayan Region. Environmental Sciences Proceedings. 2023; 27(1):10. https://doi.org/10.3390/ecas2023-15923

Chicago/Turabian Style

Gupta, Sakshi, Priyanka Srivastava, Manish Naja, Nikki Choudhary, and Sudhir Kumar Sharma. 2023. "Mineralogical Characterization of PM10 over the Central Himalayan Region" Environmental Sciences Proceedings 27, no. 1: 10. https://doi.org/10.3390/ecas2023-15923

APA Style

Gupta, S., Srivastava, P., Naja, M., Choudhary, N., & Sharma, S. K. (2023). Mineralogical Characterization of PM10 over the Central Himalayan Region. Environmental Sciences Proceedings, 27(1), 10. https://doi.org/10.3390/ecas2023-15923

Article Metrics

Back to TopTop