A Simulation of the Impact of Waste Batteries on Ecosystem Reliability
DOI:
https://doi.org/10.7494/dmms.2020.14.1.3714Keywords:
battery, life cycle, modeling, ecosystem, reliabilityAbstract
In order to assess the impact of a battery’s multi-element composition on the state of the environment, a new approach is proposed through the determination of the reliability of ecosystems, one which makes it possible to obtain quantitative indexes of the stability and losses of natural ecosystems. These data can be used as indicators of the state of the environment, and hence as the assessment of an environmental component important for determining the actual impact of the multi-element composition of batteries. On the basis of such indicators, which can be obtained using the SimaPro software, it is possible to calculate thresholds beyond which negative phenomena occur, as well as to predict and simulate situations, to carry out the mapping of sources of risks, and to monitor changes. This will allow the causes of these changes to be identified or to determine the factors that slow down or retard the approach of ecosystems to a critical state, i.e. to develop preventive measures to avoid disasters. The eco-indicator 99 is one such method that allows us to accept a single estimate for a whole product – the so-called ecological index. It is the sum of all individual eco-points or partial indexes for all life-cycle processes. The computational procedure is carried out by summing up the results of weighing the phases of the life cycle.
References
Bernstad A., la Cour Jansen J. & Aspegren H. (2011). Property-close source separation of hazardous waste and waste electrical and electronic equipment – A Swedish case study. Waste Management, 31(3), pp. 536–543. DOI: https://doi.org/10.1016/j.wasman.2010.09.011.
Bigum M.K., Petersen C., Christensen T.H. & Scheutz C. (2013). WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste. Waste Management, 33(11), pp. 2372–2380. DOI: https://doi.org/10.1016/j.wasman.2013.05.019.
Câmara S.C., Afonso J.C., Dias da Silva L.I., Domingues N.N. & Alcover Neto A. (2012). Simulação do intemperismo natural de pilhas zinco-carbono e alcalinas [Simulation of natural weathering of zinc-carbon and alkaline batteries]. Química Nova, 35(1), pp. 82–90. DOI: https://doi.org/10.1590/S0100-40422012000100016.
Gorshkov V.G. (1995). Fizicheskiye i biologicheskiye osnovy ustoychivosti zhizni [Physical and biological bases of life stability]. Moscow: VINITI.
Glansdorff P. & Prigogine I. (1973). Termodinamicheskaya teoriya struktury, ustoychivosti i fluktuatsiy [Thermodynamic theory of structure, stability and fluctuations]. Moscow: Mir.
Grime J.P. (1979). Plant Strategies and Vegetation Processes. Chichester: John Wiley & Sons.
Hopper S.D. (2009). OCBIL theory: Towards an integrated understanding of the evolution, ecology and conservation of biodiversity on old, climatically buffered, infertile landscapes. Plant and Soil, 322(1–2), pp. 49–86. DOI: https://doi.org/10.1007/s11104-009-0068-0.
Kang D.H.P. (2012). Potential Environmental and Human Health Impacts of Rechargeable Lithium-Ion and Lithium Polymer Batteries in Discarded Cellular Phones: Evaluation of Hazardous Waste Classification, Resource Depletion Potential, Human Toxicity Potential, and Ecotoxicity Potential [Doctoral Dissertation]. Irvine: University of California, Irvine, 115 pp.
Ishchenko V., Pohrebennyk V., Kochan R., Mitryasova O. & Zawislak S. (2019). Assessment of hazardous household waste generation in Eastern Europe. In: 19th International Multidisciplinary Scientific GeoConference SGEM 2019: Conference Proceedings, 19(6.1), Albena, Bulgaria, June 30–July 6, 2019, pp. 559–566. DOI: https://doi.org/10.5593/sgem2019/6.1/S25.072.
Ishchenko V., Pohrebennyk V., Borowik B., Falat P. & Shaikhanova A. (2018). Toxic substances in hazardous household waste. In: 18th International Multidisciplinary Scientific GeoConference SGEM 2018: Conference Proceedings, 18(4.2), Albena, Bulgaria, July 2–8, 2018, pp. 223–230. DOI: https://doi.org/10.5593/sgem2018/4.2/S18.029.
Janz A. (2010). Schwermetalle aus Elektroaltgeräten und Batterien im kommunalen Restabfall: Potenziale, Mobilisierung und Freisetzung während der Deponierung [Doctoral Dissertation]. Dresden: Technische Universität Dresden.
Khan M.H. & Kurny A.S.W. (2012). Characterization of spent household zinc-carbon dry cell batteries in the process of recovery of value metals. Journal of Minerals and Materials Characterization and Engineering, 11(6), pp. 641–651. DOI: https://doi.org/10.4236/jmmce.2012.116047.
Moreno-Merino L., Jiménez-Hernández M.E., de la Losa A. & Huerta-Muñoz V. (2015). Comparative assessment of button cells using a normalized index for potential pollution by heavy metals. Science of the Total Environment, 526, pp. 187–195. DOI: https://doi.org/10.1016/j.scitotenv.2015.04.068.
Polygalov S.V., Il’inykh G.V. & Bazyleva Ya.V. (2015). Algoritm sravnitel’noy otsenki vozdeystviya otrabotannykh khimicheskikh istochnikov toka na okruzhayushchuyu sredu [Algorithm for a comparative assessment of the impact of spent chemical current sources on the environment]. In: Modernizatsiya i nauchnye issledovaniya v transportnom komplekse: Materialy mezhdunarodnoy nauchno-prakticheskoy konferentsii, pp. 270–274. Perm: Perm National Research Polytechnic University.
