journal article·2025-12-03Open access

Assessment of the Impact of Blasting Operations on the Intensity of Gas Emission from Rock Masses: A Case Study of Hydrogen Sulfide Occurrence in a Polish Copper Ore Mine

Aleksandra Banasiewicz, Michalina Kotyla, Sebastian Gola

Applied Sciences· Volume 15· Issue 23

Abstract

The article evaluates the impact of blasting operations with explosives on hydrogen sulfide (H2S) emissions from rock mass in a copper ore mine. The study showed that detonations of explosives cause increased release of H2S and other gases from the rock mass interior into the mine workings space. Analysis of changes in H2S concentration over a period of ±60 min relative to the moment of detonation, performed for data from 2014 and 2017, revealed significant differences in gas behavior. In 2014, the average H2S concentration decreased after the blast, while in 2017, a marked increase was observed, although the absolute values were lower than in the previous period. The average time to reach the maximum concentration of H2S after an explosion in 2014 was 24 min and 25 s, and in 2017, 29 min and 22 s. Stabilization of the mine atmosphere occurred in 2014 after 58 min and 15 s, and in 2017 after about 40 min and 57 s. In none of the analyzed periods did the concentration values exceed the threshold of 7 ppm, which means that the level of H2S did not reach the values considered dangerous for the crew. The results indicate that blasting works significantly affect the dynamics of gas release from the rock mass, but do not pose a threat under the conditions studied.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Coal Properties and Utilization · Rock Mechanics and Modeling · Tailings Management and Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland

KGHM Polska Miedź S.A., O/ZG Polkowice-Sieroszowice, Kaźmierzów 100, 59-101 Kaźmierzów, Poland

References (41)

Show source-provided references
1. Influencing factors on safety culture in mining industry: A systematic literature review approach10.1016/j.resourpol.2021.102250 ↗
2. The Research on Demand-Based Regulation of Mine Airflow Based on Niche Genetic Algorithm10.1109/ACCESS.2025.3614985 ↗
3. Banasiewicz, A., and Janicka, A. (2025). Selection of a Universal Method for Measuring Nitrogen Oxides in Underground Mines: A Literature Review and SWOT Analysis. Atmosphere, 16.10.3390/atmos16091051 ↗
4. A new practical approach to risk management for underground mining project in Quebec10.1016/j.jlp.2013.04.014 ↗
5. Geotechnical Risk classification for underground mines
6. Bugarski, A.D., Cauda, E.G., Janisko, S.J., Mischler, S.E., and Noll, J.D. (2011). Diesel Aerosols and Gases in Underground Mines: Guide to Exposure Assessment and Control, Report of Investigations 9687.
7. Methane emissions and hard coal production in the Upper Silesian Coal Basin in relation to the greenhouse effect increase in Poland in 1994–2018
8. Mitigation of greenhouse gases released from mining activities: A review10.1007/s12613-020-2155-4 ↗
9. Preliminary sources identification of nitric oxide (NO) emissions in underground mine
10. Status of research on hydrogen sulphide gas in Chinese mines10.1007/s11356-019-07058-x ↗
11. Ministry of Energy (2017). Regulation of the Minister of Energy related to operations of underground mining (available in Polish: Rozporzadzenie Ministra Energii z dnia 23 listopada 2016r.,w sprawie szczegółowych wymagań dotyczacych prowadzenia ruchu podziemnych zakładów górniczych, Dz. U. z 2017r.,poz. 1118.
12. An ore genetic model for the Lubin—Sieroszowice mining district, Poland10.1007/BF03326394 ↗
13. Identification of gaso-geodynamic zones in the structure of copper ore deposits using geophysical methods
14. Siarkowodór-nowe zagrożenie w górnictwie rud miedzi
15. Analysis of the Formation Mechanism of Hydrogen Sulfide in the 13# Coal Seam of Shaping Coal Mine10.1021/acsomega.3c09057 ↗
16. Zhang, H., Li, S., Zheng, H., Han, Z., Lin, B., Wang, Y., Guo, X., Zhou, T., Zhang, H., and Wu, J. (2023). A visual color response test paper for the detection of hydrogen sulfide gas in the air. Molecules, 28.10.3390/molecules28135044 ↗
17. Quantitative, colorimetric paper probe for hydrogen sulfide gas10.1016/j.snb.2017.06.114 ↗
18. Williamson, N. (2010). Problems caused by microbes and treatment strategies health and safety issues from the production of hydrogen sulphide. Applied Microbiology and Molecular Biology in Oilfield Systems, Proceedings of the International Symposium on Applied Microbiology and Molecular Biology in Oil Systems (ISMOS-2), Stavanger, Norway, 2–5 June 2009, Springer.10.1007/978-90-481-9252-6_18 ↗
19. Low level exposure to hydrogen sulfide: A review of emissions, community exposure, health effects, and exposure guidelines10.1080/10408444.2023.2229925 ↗
20. Review of Toxic Gases and Their Impact on Human Health
21. A case of syncope in a villager with hypertrophic cardiomyopathy after hydrogen sulfide exposure by an unauthorized discharge of wastewater10.35371/aoem.2023.35.e34 ↗
22. Insight into the thermal kinetics and thermodynamics of sulfuric acid plant sludge for efficient recovery of sulfur10.1016/j.wasman.2021.11.015 ↗
23. National Center for Biotechnology Information (NCBI) (2025, November 05). Hydrogen Sulfide (H2S)—Compound Summary (CID 402), Available online: https://pubchem.ncbi.nlm.nih.gov/compound/402.
24. UK Health Security Agency (2025, September 15). Hydrogen Sulphide: Toxicological Overview, Available online: https://www.gov.uk/.
25. Ryzyko środowiskowe związane z eksploatacją złóż węglowodorów zawierających siarkowodór
26. Prevention and Control of Hydrogen Sulphide Accidents in Mining Extremely Thick Coal Seam: A Case Study in Wudong Coal Mine10.1155/2021/8885949 ↗
27. Review on optical fiber sensors for hazardous-gas monitoring in mines and tunnels
28. Pattern of H2S concentration in a deep copper mine and its correlation with ventilation schedule10.1016/j.measurement.2019.03.077 ↗
29. Integrated stable S isotope, microbial and hydrochemical analysis of hydrogen sulphide origin in groundwater from the Legnica-Głogów Copper District, Poland10.1016/j.apgeochem.2024.105981 ↗
30. Xie, W., Wang, H., Wang, M., and He, Y. (2021). Genesis, controls and risk prediction of H2S in coal mine gas. Sci. Rep., 11.10.1038/s41598-021-85263-w ↗
31. Deng, Q., Li, S., Yao, M., Liu, C., Zhang, Z., and Xiang, S. (2023). Study on the factors of hydrogen sulfide production from lignite bacterial sulfate reduction based on response surface method. Sci. Rep., 13.10.1038/s41598-023-47787-1 ↗
32. (2024). Internal Technical Report of KGHM Polska Miedź S.A., KGHM Polska Miedź S.A.. PTE_SI_XIII_GL-I_G-51: Projekt Techniczny.
33. Butra, J., and Pytel, W. (2004). Room-and-pillar mining systems in Polish copper mines. Mine Planning and Equipment Selection 2004, Proceedings of the Thirteenth International Symposium on Mine Planning and Equipment Selection, Wroclaw, Poland, 1–3 September 2004, CRC Press.
34. Skrzypkowski, K. (2020). Case studies of rock bolt support loads and rock mass monitoring for the room and pillar method in the legnica-głogów copper district in Poland. Energies, 13.10.3390/en13112998 ↗
35. Sevitel Sp. z o.o (2013). Technical Documentation and User Manual of Measurement Device (Available in Polish: Dokumentacja Techniczno-Ruchowa. Instrukcja Użytkowania i Obsługi DTR SEV-256/2014 v3.2. Urządzenie Pomiarowe AZRP), Sevitel Sp. z o.o.
36. Descriptive statistics and graphical displays10.1161/CIRCULATIONAHA.105.584474 ↗
37. Heydari, S., Hoseinie, S.H., and Bagherpour, R. (2024). Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models. Sci. Rep., 14.10.1038/s41598-024-59753-6 ↗
38. Feature-expression heat maps—A new visual method to explore complex associations between two variable sets10.1016/j.jbi.2014.10.003 ↗
39. Event study methodology in the marketing literature: An overview10.1007/s11747-017-0516-y ↗
40. Population models and simulation methods: The case of the Spearman rank correlation10.1111/bmsp.12085 ↗
41. Using Spearman’s correlation coefficients for exploratory data analysis on big dataset10.1002/cpe.3745 ↗