Literature DB >> 23381971

Environmental evaluation of waste treatment scenarios for the towns Khanty-Mansiysk and Surgut, Russia.

Julia Kaazke1, Montse Meneses, Berndt-Michael Wilke, Vera Susanne Rotter.   

Abstract

Khanty-Mansiysk Autonomous Okrug - Ugra in Siberia has recently started to play a major role in the Russian economy because key oil and gas extraction sites are located in this region. As a result, the extensions of infrastructure and higher incomes have been leading to an accelerated population growth and consequent increase in the generation of solid household waste. The current methods of waste disposal have now reached their limits, especially in the towns Khanty-Mansiysk and Surgut. The key objectives of this study were to identify the influence of waste composition and transport routes on the life cycle assessment (LCA) results and to assess the current waste treatment option for solid household waste and to compare it with proposed scenarios. Furthermore, recommendations for an optimal use of LCA within a decision-making process for a waste management plan are presented. LCA methodology was used to evaluate different waste management scenarios such as landfilling and incineration. One result was that the options 'incineration with recycling' and 'anaerobic mechanical-biological treatment with recycling' demonstrated lower environmental impact in both Khanty-Mansiysk and Surgut. Another finding was that there were hardly any differences in the ranking of the scenarios for Surgut and Khanty-Mansiysk. However, the special socio-cultural circumstances and location of each town have to be considered seriously in the development of a sustainable waste management plan.

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Year:  2013        PMID: 23381971     DOI: 10.1177/0734242X12473792

Source DB:  PubMed          Journal:  Waste Manag Res


  1 in total

Review 1.  Life cycle modeling for environmental management: a review of trends and linkages.

Authors:  Ravi Sharma; Kripanshi Gupta
Journal:  Environ Monit Assess       Date:  2019-12-17       Impact factor: 2.513

  1 in total

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