Assessment of the stability of mercury concentrations in municipal waste using data science tools

Authors

  • Radosław Jędrusiak AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Krakow, Poland https://orcid.org/0000-0003-0008-4075
  • Monika Chuchro AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Krakow, Poland https://orcid.org/0000-0002-0381-4697
  • Barbara Bielowicz AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Krakow, Poland https://orcid.org/0000-0002-8742-5890
  • Agnieszka Gielar AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Krakow, Poland

DOI:

https://doi.org/10.7494/geol.2023.49.1.71

Keywords:

mercury, municipal waste, trend analysis, regression, seasonality, stability

Abstract

Mercury and its compounds are among the most dangerous and toxic substances in the environment. As part of the study, several exploratory analyses and statistical tests were conducted to demonstrate how low and stable mercury content is in municipal waste. A statistical analysis of the mercury content in waste (waste codes 19 12 12 and 20 03 01) was carried out using advanced IT tools. Based on 32 results for each waste, the maximum mercury concentration was 0.062 mg/kg dry weight (EWC code 19 12 12) and 0.052 mg/kg dry weight (EWC code 20 03 01). The analysis, data inference, and modeling were performed according to the CRISP-dm methodology. The results obtained were compared with the maximum allowable mercury concentrations for agricultural soils (2 mg/kg dry weight) and the provisions of the Minamata Convention (1 mg/kg). The average, median, and maximum observed mercury concentrations in waste are significantly lower than the assumed levels of 2 mg/kg (permissible concentrations for II-1 soils) and 1 mg/kg (Minamata Convention). The stability of mercury content in waste was examined. Descriptive statistics, statistical tests, and regression modeling were used. The tests and analyses performed showed an insignificant variation in the mercury content of the wastes with codes 19 12 12 and 20 03 01. No trend or seasonality was observed. The analyses and tests performed confirmed that the data are stable, and the values are low.

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References

CEN (European Committee for Standardization), 2011a. EN 15442:2011: Solid recovered fuels – Methods for sampling. https://standards.iteh.ai/catalog/standards/cen/1ccec9d1-cd27-493a-ba71-f927ca8e57ca/en-15442-2011 [access: 19.06.2022].

CEN (European Committee for Standardization), 2011b. EN 15443:2011: Solid recovered fuels – Methods for the preparation of the laboratory sample. https://standards.iteh.ai/catalog/standards/cen/b049702f-7c9c-450e-abf7-ca06800c99cd/en-15443-2011 [access: 19.06.2022].

Cho B.H., Nam B.H., An J. & Youn H., 2020. Municipal solid waste incineration (MSWI) ashes as construction materials – A review. Materials (Basel, Switzerland), 13(14), 3143. https://doi.org/10.3390/ma13143143.

Chow S.-Ch., 2007. Statistical Design and Analysis of Stability Studies. Chapman and Hall/CRC, New York. https://doi.org/https://doi.org/10.1201/9781584889069.

Dégerine S. & Lambert-Lacroix S., 2003. Characterization of the partial autocorrelation function of nonstationary time series. Journal of Multivariate Analysis, 87(1), 46–59. https://doi.org/https://doi.org/10.1016/S0047-259X(03) 00025-3.

EEA (European Environment Agency), 2019. Changes in cadmium, mercury and lead emissions for each sector (EEA-33). https://www.eea.europa.eu/data-and-maps/daviz/change-in-cadmium-mercury-and-5#tab-chart_1 [access: 19.06.2022].

EP and CEU (European Parliament and the Council of the European Union), 2008a. Consolidated text: Regulation (EC) No 1272/2008 of the European Parliament and of the Council of 16 December 2008 on classification, labelling and packaging of substances and mixtures, amending and repealing Directives 67/548/EEC and 1999/45/EC, and amending Regulation (EC) No 1907/2006. Official Journal of the European Union. https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32008R1272&from=PL [access: 19.06.2022].

EP and CEU (European Parliament and the Council of the European Union), 2008b. Consolidated text: Directive 2008/98/EC of the European Parliament and of the Council of 19 November 2008 on waste and repealing certain Directives. Official Journal of the European Union. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02008L0098-20180705 [access: 19.06.2022].

EP and CEU (European Parliament and the Council of the European Union), 2011. Consolidated text: Directive 2011/65/EU of the European Parliament and of the Council of 8 June 2011 on the restriction of the use of certain hazardous substances in electrical and electronic equipment. Official Journal of the European Union. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02011L0065-20211101 [access: 19.06.2022].

EP and CEU (European Parliament and the Council of the European Union), 2017. Regulation (EU) 2017/852 of the European Parliament and of the Council of 17 May 2017 on mercury, and repealing Regulation (EC) No 1102/2008. Official Journal of the European Union. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32017R0852 [accessed: 19.06.2022].

EP and CEU (European Parliament and the Council of the European Union), 2018. Consolidated text: Directive 2006/66/EC of the European Parliament and of the Council of 6 September 2006 on batteries and accumulators and waste batteries and accumulators and repealing Directive 91/157/EEC. Official Journal of the European Union. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02006L0066-20180704 [accessed: 19.06.2022].

Fabricius A.-L., Renner M., Voss M., Funk M., Perfoll A., Gehring F. et al., 2020. Municipal waste incineration fly ashes: from a multi-element approach to market potential evaluation. Environmental Sciences Europe, 32(1), 88. https://doi.org/10.1186/s12302-020-00365-y.

Fu X., Feng X., Sommar J. & Wang S., 2012. A review of studies on atmospheric mercury in China. The Science of the Total Environment, 421–422, 73–81. https://doi.org/10.1016/J.SCITOTENV.2011.09.089.

Fuller W.A., 1995. Introduction to Statistical Time Series. 2nd ed. Wiley Series in Probability and Statistics, John Wiley & Sons, New York.

Giro-Paloma J., Ribas-Manero V., Maldonado-Alameda A., Formosa J. & Chimenos J.M., 2017. Use of municipal solid waste incineration bottom ash and crop by-product for producing lightweight aggregate. IOP Conference Series: Materials Science and Engineering, 251(1), 12126. https://doi.org/10.1088/1757-899X/251/1/012126.

Godyń K. & Dutka B., 2023. Preliminary studies of slag and ash from incinerated municipal waste for prospective applications. Energies, 16(1). 117. https://doi.org/10.3390/en16010117.

Godyń K., Dutka B., Chuchro M. & Młynarczuk M., 2020. Synergy of parameters determining the optimal properties of coal as a natural sorbent. Energies, 13(8). https://doi.org/10.3390/en13081967

Helsen D.R., 2005. Nondetects and Data Analysis : Statistics for Censored Environmental Data. Wiley-Interscience, Hoboken, N.J.

Helsen D.R., 2012. Statistics for Censored Environmental Data Using Minitab and R. 2nd ed. John Wiley & Sons, Hoboken, N.J.

Kabata-Pendias A., 2011. Trace Elements in Soils and Plants. 4th ed. CRC Press.

Manuca R. & Savit R., 1996. Stationarity and nonstationarity in time series analysis. Physica D: Nonlinear Phenomena, 99(2), 134–161. https://doi.org/https://doi.org/10.1016/S0167-2789(96)00139-X.

Marnane I., 2018. Mercury in Europe’s environment: A priority for European and global action. EEA Report, 11/2018, EEA, Copenhagen.

Mishra P., Singh U., Pandey C.M., Mishra P. & Pandey G., 2019. Application of student’s t-test, analysis of variance, and covariance. Annals of Cardiac Anaesthesia, 22(4), 407–411. https://doi.org/10.4103/aca.ACA_94_19.

Montgomery D.C., 2012. Introduction to Linear Regression Analysis. John Wiley & Sons, Hoboken, N.J.

Murtagh F. & Devlin K., 2018. The development of data science: Implications for education, employment, research, and the data revolution for sustainable development. Big Data and Cognitive Computing, 2(2), 14. https://doi.org/10.3390/bdcc2020014.

Neuwahl F., Cusano G., Benavides J.G., Holbrook S. & Roudier S., 2019. Best Available Techniques (BAT) reference document for waste incineration: Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control). JRC Science for Policy Report, Publications Office of the European Union, Luxembourg. https://op.europa.eu/pl/publication-detail/-/publication/075477b7-329a-11ea-ba6e-01aa75ed71a1/language-en [access: 8.12.2021].

R packages, 2022. R packages list with full documentation. https://cran.r-project.org [access: 25.06.2022].

Ross S.M., 2005. Linear Regression. [in:] Ross S.M., Introductory Statistics, 2nd ed., Academic Press, 519–584.

Rozporządzenie Ministra Środowiska z dnia 1 września 2016 r. w sprawie sposobu prowadzenia oceny zanieczyszczenia powierzchni ziemi. Dz.U. 2016 poz. 1395. http://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=wdu20160001395 [access: 19.06.2022].

Schmidt J., Marques M.R.G., Botti S. & Marques M.A.L., 2019. Recent advances and applications of machine learning in solid-state materials science. npj Computational Materials, 5(1), 83. https://doi.org/10.1038/s41524-019-0221-0.

Schröer C., Kruse F. & Gómez J.M., 2021. A systematic literature review on applying CRISP-DM process model. Procedia Computer Science, 181, 526–534. https://doi.org/https://doi.org/10.1016/j.procs.2021.01.199.

Song Y., Jiang T., Liem-Nguyen V., Sparrman T., Björn E. & Skyllberg U., 2018. Thermodynamics of Hg(II) bonding to thiol groups in Suwannee River natural organic matter resolved by competitive ligand exchange, Hg LIII-Edge EXAFS and 1H NMR spectroscopy. Environmental Science and Technology, 52(15), 8292–8301. https://doi.org/10.1021/acs.est.8b00919.

UNEP (United Nations Environment Programme), 2013. Final Act of the Conference of Plenipotentiaries on the Minamata Convention on Mercury | Minamata Convention on Mercury. https://www.mercuryconvention.org/en/documents/final-act-conference-plenipotentiaries-minamata-convention-mercury [access: 19.06.2022].

UNEP (United Nations Environment Programme), 2018. Global Mercury Assessment. https://www.unep.org/resources/publication/global-mercury-assessment-2018 [access: 29.11.2021].

UNEP (United Nations Environment Programme), 2021. Minamata Convention Progress Report 2020. https://www.unep.org/resources/report/minamata-convention-progress-report-2020 [access: 12.06.2022].

U.S. EPA (U.S. Environmental Protection Agency), 1998. Method 7473 (SW-846): Mercury in Solids and Solutions by Thermal Decomposition, Amalgamation, and Atomic Absorption Spectrophotometry. Revision 0. Washington, DC. https://www.epa.gov/esam/epa-method-7473-sw-846-mercury-solids-and-solutions-thermal-decomposition-amalgamation-and [access: 8.06.2022].

U.S. EPA (U.S. Environmental Protection Agency), 2000. Guidance for Data Quality Assessment: Practical Methods for Data Analysis. https://www.epa.gov/sites/default/files/2015-06/documents/g9-final.pdf [access: 12.06.2022].

Ustawa z dnia 20 maja 2021 r. o ratyfikacji Konwencji z Minamaty w sprawie rtęci, sporządzonej w Kumamoto dnia 10 października 2013 roku. Dz.U. 2021 poz. 1201. https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id= WDU20210001201 [access: 19.06.2022].

van Velzen D., Langenkamp H. & Herb G., 2002. Review: Mercury in waste incineration. Waste Management and Research, 20(6), 556–568. https://doi.org/10.1177/0734242X0202000610.

WHO (World Health Organization), 2017. Mercury and health. https://www.who.int/news-room/fact-sheets/detail/mercury-and-health [access: 29.11.2021].

Wirth R. & Hipp J., 2000. CRISP-DM: Towards a standard process model for data mining. [in:] Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining, Practical Application Company, 29–39.

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Published

2023-03-30

How to Cite

Jędrusiak, R., Chuchro, M., Bielowicz, B., & Gielar, A. (2023). Assessment of the stability of mercury concentrations in municipal waste using data science tools. Geology, Geophysics and Environment, 49(1), 71–83. https://doi.org/10.7494/geol.2023.49.1.71

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