Natural Disasters in Industrial Areas

Part of the Springer Tracts in Civil Engineering book series (SPRTRCIENG)


Simulations of the environmental accidents related to the chemical hazard were performed in order to estimate the contamination triggered or caused by natural disasters occurrence in the area heavily loaded with passive hazardous waste deposits. The mining and metallurgy waste deposits, when being exposed to the extreme weather conditions and droughts are scattered on the wider areas, and washed down by the floods, creating erosion ditches along the river banks, and penetrating into the deeper layers of soil. For this purpose the waste materials characterizations were performed by using modern instrumental techniques, considering the heterogeneous nature of the waste. The screening tools are used to estimate the level of air contamination in different climatic conditions, and the simulation of the movement of water and variable solutes to predict the soil contamination along the depth column related to the river flows. The modeling can’t replace the regular monitoring, but can help determine the regularity, frequency and location of the probes for measurements, and raise the red flag with the authorities. Finally, Application of intelligent Multi-Criteria Analysis has been performed for the purpose of ranking the degree of negative impact on the environment of tailing ponds. Analysis is performed for five tailing ponds of MMCC (Mining Metallurgy Chemical Combine) “Trepča”, whereby two of the ponds are active and three inactive. In order to achieve the most objective results, the AHP and PROMETHEE methods were applied.


Tailing waste Pollution Extreme weather Floods 


  1. Ataei, M., Jamshidi, M., Sereshki, F., & Jalali, S. M. E. (2008). Mining method selection by AHP approach. Journal of the Southern African Institute of Mining and Metallurgy, 108, 741–749.Google Scholar
  2. Barac, N., Škrivnj, S., Bukumirić, Z., Živojinović, D., Manojlović, D., Barać, M., et al. (2016). Distribution and mobility of heavy elements in floodplain agricultural soils along the Ibar River (Southern Serbia and Northern Kosovo). Environmental Science and Pollution Research, 23, 9000–9011.CrossRefGoogle Scholar
  3. Bogdanović, D., Nikolić, D., & Ilić, I. (2012). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências, 84, 219–233.CrossRefGoogle Scholar
  4. Borgna, L., Lella, L. A., Nannoni, F., Pisani, A., Pizzetti, E., Protano, G., et al. (2009). The high contents of lead in soils of Northern Kosovo. Journal of Geochemical Exploration, 101, 137–146.CrossRefGoogle Scholar
  5. Commission of the European Communities. (2003). Communities. In Proposal for a directive of the European parliament and of the council on the management of waste from extractive industries. Brussels, Belgium.Google Scholar
  6. Djokic, J., Minic, D., & Kamberovic, Z. (2012a). Reuse of metallurgical slag from the silicothermic magnesium production and secondary lead metallurgy. Metalurgia International, 17, 46–53.Google Scholar
  7. Djokic, J., Minic, D., Kamberovic, Z., & Petkovic, D. (2012b). Impact analysis of airborn pollution due to magnesium slag deposit and climatic changes condition. Ecological Chemistry and Engineering S, 19(3), 439–444.CrossRefGoogle Scholar
  8. Frese, S., Klitgaard, R., & Pedersen, E. K. (2004). Heavy metal emission from Trepča, Environmental Management in Kosovo, TekSam, Institut for Miljo, Teknologiog Samfund.Google Scholar
  9. Kiker, G., Bridges, T. S., Varghese, A., Seager, T. P., & Linkovjj, I. (2005). Application of multicriteria decision analysis in environmental decision making. Integrated Environmental Assessment and Management: An International Journal, 1, 95–108.CrossRefGoogle Scholar
  10. Milentijević, G., Spalević, Ž., Bjelajac, Ž., Djokić, J., & Nedeljković, B. (2013). Impact analysis of mining company ‘Trepča’ to the contamination of the river Ibar water. Metalurgia International, 18, 283–288.Google Scholar
  11. Milentijević, G., Nedeljković, B., Lekić, M., Nikić, Z., Ristović, I., & Djokić, J. (2016). Application of a method for intelligent multi-criteria analysis of the environmental impact of tailing ponds in northern Kosovo and Metohija. Energies, 11, 935–952.CrossRefGoogle Scholar
  12. Ministry of Environmental Protection of the Republic of Serbia. (2005). Environmental Protection Agency. In The report on the environmental situation in the Republic of Serbia in 2005.
  13. Nannoni, F., Protano, G., & Riccobono, F. (2011). Fractionation and geochemical mobility of heavy elements in soils of a mining area in Northern Kosovo. Geoderma, 161, 63–73.CrossRefGoogle Scholar
  14. Nikić, Z. (2003). Hydrogeological analysis of the low flows formation and regionalization. Serbia: Belgrade.Google Scholar
  15. Peck, P. (2004). Desk-assessment study for the Environment and Security initiative project UNEP regional office for Europe and UNEP division of technology. Industry and Economics.Google Scholar
  16. Ristović, I., Stojaković, M., & Vulić, M. (2010). Recultivation and sustainable development of coal mining in Kolubara basin. Thermal Science, 14, 759–772.CrossRefGoogle Scholar
  17. Swhli, K. M. H., Jovic, S., Arsic, N., & Spalevic, P. (2018). Detection and evaluation of heating load of building by machine learning. Sensor Review, 38, 99–101.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Technical SciencesUniversity of PristinaKosovska MitrovicaKosovo

Personalised recommendations