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Proceeding Paper

Deposited Particulate Matter Enrichment in Heavy Metals and Related Health Risk: A Case Study of Krakow, Poland †

by
Agnieszka Gruszecka-Kosowska
Department of Environmental Protection, Faculty of Geology, Geophysics, and Environmental Protection, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
Presented at the 2nd International Electronic Conference on Environmental Health Sciences, 4–29 November 2019; Available online: https://iecehs-2.sciforum.net/.
Published: 1 November 2019

Abstract

:
The aim of these investigations was to determine the impact of heavy metals bound with deposited particulate matter (PM) on contamination degree and related toxicological effects by calculating enrichment indices, namely, the geo-accumulation index (Igeo), contamination factor (CF), and enrichment factor (EF), as well as the ecological risk index (ERI) and modified hazard quotient (mHQ). Calculations were made based on the selected element concentrations determined in deposited PM samples in Krakow. The results of the investigations revealed that deposited PM was enriched in heavy metals. As Igeo provides information on the level of metal accumulation, it was found that deposited PM was practically uncontaminated with Be, Cd, and Tl (class 0) but heavily to extremely contaminated (class 5) with Co and Sn and extremely contaminated (class 6) with As, Ba, Cr, Cu, Li, Mn, Ni, Pb, Sr, Ti, V, and Zn. On the other hand, the calculated values of CF revealed very high contamination of deposited PM with Cd and Zn, considerable contamination with Sn, Pb, and As, and moderate contamination with Cu and Li. Values of calculated EF revealed that among the investigated elements, only Zn originated from anthropogenic sources. For Cd, a small influence of anthropogenic sources was observed. For Pb and Sn, non-crustal sources of emission were expected. The calculated ERI values indicated potential ecological risk levels that were very high for Cd and considerable for Zn, as well as low potential ecological risk for As, Co, Cr, Cu, Ni, Pb, and Tl. Moreover, the calculated mHQ values of severity of contamination were extreme for Zn, considerable for Cr, and moderate for As, Cu, and Pb. The analysis revealed that the impact of atmospheric and re-suspended PM on inhabitants constitutes a complex effect of a mixture of heavy metals simultaneously affecting human health.

1. Introduction

The air quality is of utmost importance due to its direct effect on human health. For many years, Krakow has been an example of a city with constant poor or even very poor air quality [1]. Analyzing the results of the ambient air quality monitoring network in Krakow, operated by the Regional Environmental Protection Inspectorate in Krakow (WIOŚ), it was observed that particulate matter (PM) is the key air pollutant [2,3,4]. Moreover, PM particles bind other contaminants, especially heavy metals, that, alongside PM, cause negative health effects after entering the body through inhalation, digestion, or dermal contact. Heavy metals cause many negative health effects associated with renal, cardiovascular, blood, nervous, or bone systems [5]. The enrichment indices are widely used to provide information on element contamination in the investigated component in relation to an uncontaminated medium, i.e., Earth’s crust or uncontaminated/natural soils. These indices have recently been used in air pollution research, and permissible contents of heavy metals have been established for just a few of them. Taking the above under consideration, the aim of the investigations presented herein was to determine the impact of heavy metals bound with deposited PM on contamination degree and related toxicological effects by calculating enrichment indices, namely, the geo-accumulation index (Igeo), contamination factor (CF), and enrichment factor (EF), as well as the ecological risk index (ERI) and modified hazard quotient (mHQ).

2. Material and Methods

Deposited PM samples were investigated from 2014 to 2016 as described in detail in Gruszecka-Kosowska and Wdowin [6]. Heavy metal concentrations were analyzed using Inductively Coupled Plasma Mass Spectroscopy (ICP-MS) after digestion of samples in aqua regia and mineralization for 2 h in 130 °C in an SCP Science DigiPREP HT High Temperature Digestion System (SCP Science, Quebec, Canada) according to the USEPA 3050B extraction method [7]. As element contents in PM for the calculation of enrichment indices, mean values of heavy metal concentrations in deposited PM from the investigations of Gruszecka-Kosowska and Wdowin [6] were taken (Table 1).
A detailed description of the calculated enrichment indices in this study is given in Table 2. The geo-accumulation index (Igeo) provides information on the accumulation of heavy metals in relation to the background value. Contamination factor (CF) determines the contamination of heavy metals in reference to the background value as well. As the background values for calculating Igeo and CF values, local geochemical values [8] were taken. Enrichment factor (EF) describes enrichment with heavy metals in relation to elements with a low variability of occurrence; here, Fe was chosen, and as background values both concentrations from the upper continental crust [9] and local geochemical values [8] were used. For determination of ecological risk, the ecological risk index (ERI) and modified hazard quotient (MHQ) were used, which enabled the assessment of contamination by comparing the metal concentration with the synoptic adverse ecological effect distributions for slightly differing threshold levels [10].

3. Results and Discussion

The calculated values of the enrichment indices used and the corresponding classes are presented in Table 3. The results of the investigations revealed that deposited PM was enriched in heavy metals. Based on the calculated Igeo values, in the investigated deposited PM samples, accumulation of the analyzed heavy metals was the highest for As, Ba, Cr, Cu, Li, Mn, Ni, Pb, Sr, Ti, V, and Zn (class 6), as well as for Co and Sn (class 5). Instead, for Be, Cd, and Tl, the calculated Igeo values indicated no accumulation (class 0). On the other hand, the calculated CF values revealed very high contamination of the analyzed deposited PM samples with Cd and Zn, considerable contamination with As, Pb, and Sn, and moderate contamination with Cu and Li. For the other investigated elements, CF values indicated low contamination. Also, the EF values (presented here as the mean values of EF calculated for different background values as described above) indicated that the analyzed deposited PM samples were extremely severely enriched with Zn, moderately severely enriched with Sn, and severely enriched with Cd. Minor enrichment of PM was observed for Cu. For the other investigated elements, EF values indicated no enrichment. The calculated EF values indicated anthropogenic sources (EF > 30) of elements only in the case of Zn. For Cd, a small proportion of anthropogenic sources was determined. For Pb and Sn, non-crustal sources of elements were revealed. Crustal sources of elements were defined for As, Ba, Be, Co, Cr, Cu, Li, Mn, Ni, Sr, Ti, Tl, and V.
The calculated values of ERI indicated very high ecological risk of the analyzed deposited PM samples only in the case of Cd and considerable ecological risk for Zn. For As, Co, Cr, Cu, Ni, Pb, and Tl, low ecological risk was determined. For Ba, Be, Li, Mn, Sn, Sr, Ti, and V, ecological risk values were not defined due to the lack of adverse ecological effect values. Ecological risk defined based on the mHQ index revealed extreme severity of contamination of the deposited PM samples with Zn and considerable severity of contamination with Cr. For As, Cu, and Pb, moderate-severity contamination was indicated, while for Cd and Ni, low-severity contamination was indicated. Values of mHQ were not defined for Ba, Be, Co, Li, Mn, Sn, Sr, Ti, Tl, and V due to the lack of adverse ecological effect values.

4. Conclusions

The studies revealed enrichment of the analyzed deposited PM samples with heavy metals. Extreme contamination (class 6) was observed for As, Ba, Cr, Cu, Li, Mn, Ni, Pb, Sr, Ti, V, and Zn, as well as heavy to extreme contamination (class 5) for Co and Sn according to the Igeo index. Very high contamination of deposited PM with Cd and Zn, considerable contamination with Sn, Pb, and As, and moderate contamination with Cu and Li were indicated according to the CF values. The EF values indicated extremely severe enrichment with Zn, moderately severe enrichment with Sn, severe enrichment with Cd, and minor enrichment with Cu. The calculated values of EF revealed that among the investigated elements, only Zn originated from anthropogenic sources. For Cd, a small influence of anthropogenic sources was observed. For Pb and Sn, non-crustal sources of emission were expected. The potential ecological risk was determined as very high for Cd, considerable for Zn, and low for As, Co, Cr, Cu, Ni, Pb, and Tl according to the calculated ERI values. Moreover, the severity of contamination as indicated by calculated mHQ values was extreme for Zn, considerable for Cr, and moderate for As, Cu, and Pb. The analysis confirmed that atmospheric and re-suspended PM has a comprehensive health impact.

Funding

This research received no external funding.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. European Environment Agency. Air Quality in Europe—2018 Report; EEA Report No 12/2018; Publications Office of the European Union: Luxembourg, Luxembourg, 2018. [Google Scholar]
  2. Bokwa, A. Environmental impact of long-term air pollution changes in Krakow, Poland. Polish J. Environ. Stud. 2008, 5, 673–686. [Google Scholar]
  3. Choi, H.; Melly, S.; Spengler, J. Intraurban and longitudinal variability of classical pollutants in Kraków, Poland, 2000–2010. Int. J. Environ. Res. Public Health 2015, 12, 4967–4991. [Google Scholar] [CrossRef] [PubMed]
  4. Gruszecka-Kosowska, A. Assessment of the Krakow inhabitants’ health risk caused by the exposure to inhalation of outdoor air contaminants. Stoch. Environ. Res. Risk Assess. 2018, 32, 485–499. [Google Scholar] [CrossRef]
  5. Bini, C.; Bech, J. PHEs, environment and human health. Potentially harmful elements in the environment and the impact on human health; Springer: Heidelberg, Germany, 2014. [Google Scholar]
  6. Gruszecka-Kosowska, A.; Wdowin, M. The mineralogy, geochemistry and health risk assessment of deposited particulate matter (PM) in Kraków, Poland. Geol. Geophys. Environ. 2016, 42, 429. [Google Scholar] [CrossRef]
  7. Method 3050B: Acid Digestion of Sediments, Sludges, and Soils; Revision 2; US Environmental Protection Agency: Washington, DC, USA, 1996.
  8. Kabata-Pendias, A. Trace Elements in Soils and Plants, 4th ed.; CRC Press, Taylor &Francis Group: Boca Raton, FL, USA, 2011. [Google Scholar]
  9. Rudnick, R.; Gao, S. Composition of the Continental Crust. Treatise Geochem. 2014, 4, 1–51. [Google Scholar]
  10. Benson, N.U.; Adedapo, A.E.; Fred-Ahmadu, O.H.; Williams, A.; Udosen, E.D.; Ayejuyo, O.O.; Olajire, A.A. New ecological risk indices for evaluating heavy metals contamination in aquatic sediment: A case study of the Gulf of Guinea. Reg. Stud. Mar. Sci. 2018, 18, 44–56. [Google Scholar] [CrossRef]
  11. Müller, G. Index of geoaccumulation in sediments of the Rhine River. GeoJournal 1969, 2, 108–118. [Google Scholar]
  12. Kowalska, J.B.; Mazurek, R.; Gąsiorek, M.; Zaleski, T. Pollution indices as useful tools for the comprehensive evaluation of the degree of soil contamination-A review. Environ. Geochem. Heal. 2018, 40, 2395–2420. [Google Scholar] [CrossRef] [PubMed]
  13. Håkanson, L. An ecological risk index for aquatic pollution control. A sedimentological approach. Water Res. 1980, 14, 975–1001. [Google Scholar] [CrossRef]
  14. Loska, K.; Wiechuła, D.; Korus, I. Metal contamination of farming soils affected by industry. Environ. Int. 2004, 30, 159–165. [Google Scholar] [CrossRef]
  15. Sutherland, R.A. Bed sediment-associated trace metals in an urban stream, Oahu, Hawaii. Environ. Earth Sci. 2000, 39, 611–627. [Google Scholar] [CrossRef]
  16. Ho, H.H.; Swennen, R.; Van Damme, A. Distribution and contamination status of heavy metals in estuarine sediments near Cua Ong Harbo, Ha Long Bay, Vietnam. Geol. Belg. 2010, 13, 37–47. [Google Scholar]
  17. Gong, Q.; Deng, J. Calculating pollution indices by heavy metals in ecological geochemistry assessment and as case study in parks of Beijing. J. China Univ. Geosci. 2008, 19, 230–241. [Google Scholar]
  18. Chai, L.; Li, H.; Yang, Z.; Min, X.; Liao, Q.; Liu, Y.; Men, S.; Yan, Y.; Xu, J. Heavy metals and metalloids in the surface sediments of the Xiangjiang River, Hunan, China: distribution, contamination, and ecological risk assessment. Environ. Sci. Pollut. Res. 2017, 24, 874–885. [Google Scholar] [CrossRef] [PubMed]
  19. Liu, Y.; Wang, Q.; Zhuang, W.; Yuan, Y.; Jiao, K.; Wang, M.; Chen, Q. Calculation of thallium’s toxicity coefficient in the evaluation of potential ecological risk index: a case study. Chemosphere 2018, 194, 562–569. [Google Scholar] [CrossRef]
  20. Wang, N.; Wang, A.; Kong, L.; He, M. Calculation and application of Sb toxicity coefficient for potential ecological risk assessment. Sci. Total. Environ. 2018, 610, 167–174. [Google Scholar] [CrossRef] [PubMed]
  21. Macdonald, D.D.; Ingersoll, C.G.; Berger, T.A. Development and evaluation of consensus-based sediment quality guidelines for freshwater ecosystems. Arch. Environ. Contam. Toxicol. 2000, 39, 20–31. [Google Scholar] [CrossRef] [PubMed]
Table 1. Heavy metal concentrations in deposited particulate matter (PM) samples in Krakow (modified from [6]).
Table 1. Heavy metal concentrations in deposited particulate matter (PM) samples in Krakow (modified from [6]).
ElementMean value (mg/kg)
As14.7
Ba111.5
Be0.54
Cd1.2
Co2.35
Cr90
Cu74.5
Li21.1
Mn623.5
Ni24.5
Pb85.5
Sn12.5
Sr140.5
Ti223
Tl0.26
V30
Zn5820
Table 2. Description of the enrichment indices used in the study.
Table 2. Description of the enrichment indices used in the study.
Enrichment factorFormulasExplanationLimit valuesClassificationReferences
Geo-accumulation index
Igeo
Igeo = log2(Ci/1.5*Bn)Ci—content of element in PM; Bn—background value; 1.5—constantIgeo ≤ 0Class 0—practically uncontaminated[11,12]
0 ≤ Igeo < 1Class 1—uncontaminated to moderately contaminated
1 ≤ Igeo < 2Class 2—moderately contaminated
2 ≤ Igeo < 3Class 3—moderately to heavily contaminated
3 ≤ Igeo < 4Class 4—heavily contaminated
4 ≤ Igeo < 5Class 5—heavily to extremely contaminated
5 ≤ IgeoClass 6—extremely contaminated
Contamination factor
CF
CF = Cmi/CrefCmi—mean element concentration in PM; Cref—reference value of elementCF < 1low contamination[13,14]
1 ≤ CF < 3moderate contamination
3 ≤ CF < 6considerable contamination
6 ≤ CFvery high contamination
Enrichment factor
EF
EF = (Ci/Cref)/(Bi/Bref)Ci—content of element in PM; Cref—content of Fe in sample; Bi—reference content of single element; Bref—reference content of Fe
EF ≤ 1no enrichment[15,16]
1 < EF ≤ 3minor enrichment
3 < EF ≤ 5moderate enrichment
5 < EF ≤ 10moderately severe enrichment
10 < EF ≤ 25severe enrichment
25 < EF ≤ 50very severe enrichment
EF > 50extremely severe enrichment
Ecological risk index
ERI
ERI = Tri x CFiTr—toxicity response coefficient of single element; CFi—contamination factor of single elementERI < 40low potential ecological risk[13,17,18,19,20]
40 ≤ ERI < 80moderate potential ecological risk
80 ≤ ERI < 160considerable potential ecological risk
160 ≤ ERI < 320high potential ecological risk
320 ≤ ERIvery high potential ecological risk
Modified hazard quotient
mHQ
mHQ = [ Ci   ( 1 TELi + 1 PELi + 1 SELi ) ] 2 Ci—concentration of element in PM; TEL—threshold effect level; PEL—probable effect level; SEL—severe effect level for single elementmHQ < 0.5nil to very low severity of contamination[10,21]
0.5 < mHQ < 1.0very low severity of contamination
1.0 < mHQ < 1.5low severity of contamination
1.5 < mHQ < 2.0moderate severity of contamination
2.0 < mHQ < 2.5considerable severity of contamination
2.5 < mHQ < 3.0high severity of contamination
3.0 < mHQ < 3.5very high severity of contamination
mHQ > 3.5extreme severity of contamination
Table 3. Enrichment index classes for deposited PM in Krakow.
Table 3. Enrichment index classes for deposited PM in Krakow.
ElementIgeoCFEF (mean)ERImHQ
valueclassvalueclassvalueclassvalueclassvalueclass
As5.663.06considerable2.63minor30.6low1.90moderate severity
Ba15.560.18low0.15no----
Be−0.400.26low0.22no----
Cd−3.8013.3very high11.44severe400very high1.24low severity
Co4.850.14low0.12no0.7low--
Cr12.460.98low0.84no2.0low2.12considerable severity
Cu10.462.66moderate2.28minor13.3low1.57moderate severity
Li8.261.00moderate0.86no----
Mn18.360.81low0.69no----
Ni9.660.52low0.45no2.6low1.18low severity
Pb9.965.03considerable4.32moderate25.1low1.86moderate severity
Sn4.155.95considerable5.11moderately severe----
Sr14.960.44low0.38no----
Ti19.660.04low0.03no----
Tl−2.700.29low0.25no2.9low--
V10.960.31low0.27no----
Zn18.0686.87very high74.56extremely severe86.9considerable36.45extreme severity
- not applicable.
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Gruszecka-Kosowska, A. Deposited Particulate Matter Enrichment in Heavy Metals and Related Health Risk: A Case Study of Krakow, Poland. Proceedings 2020, 44, 1. https://0-doi-org.brum.beds.ac.uk/10.3390/IECEHS-2-06373

AMA Style

Gruszecka-Kosowska A. Deposited Particulate Matter Enrichment in Heavy Metals and Related Health Risk: A Case Study of Krakow, Poland. Proceedings. 2020; 44(1):1. https://0-doi-org.brum.beds.ac.uk/10.3390/IECEHS-2-06373

Chicago/Turabian Style

Gruszecka-Kosowska, Agnieszka. 2020. "Deposited Particulate Matter Enrichment in Heavy Metals and Related Health Risk: A Case Study of Krakow, Poland" Proceedings 44, no. 1: 1. https://0-doi-org.brum.beds.ac.uk/10.3390/IECEHS-2-06373

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