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Cost-benefit analysis of rehabilitating old landfills: A case of Beiyangqiao landfill, Wuhan, China

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posted on 2020-05-13, 04:13 authored by Aidana Ospanbayeva, Songlin Wang

A comprehensive approach for evaluating the feasibility of landfill rehabilitation should be developed to allow landfill owners to thoroughly examine the feasibility of a landfill soil remediation project in advance. With a view of contributing to the development of a common framework for the evaluation of landfill rehabilitation projects, this paper presents the results of a case study in which the issue of assessing the costs and benefits of rehabilitating the Beiyangqiao simple landfill is addressed. Based on the results of a survey, the cost-benefit assessment criteria and candidate remediation methods were selected. The alternatives included are, in-situ landfill closure; in-situ aerobic stabilization combined with in-situ screening and classification of recovered materials, transport for off-site disposal; and ectopic mining combined with recycling and incineration. Results show that the costs of landfill rehabilitation would range from 11.23 to 32.02 million United States dollars (USD). The key benefits would be land reclamation, heat, or electricity generation by incineration, and recycling of waste materials. The total benefits would range in value from 59.62 to 61.47 million USD. The net present value of the three scenarios would be positive and would range from 8.6 to 10.02 million USD. The results suggest that all three scenarios were positive. Nevertheless, “in-situ aerobic stabilization, in-situ screening, transportation, and off-site disposal” was most beneficial considering all parameters.

Implications: This study applied a cost-benefit analysis model for assessing the economic feasibility of landfill rehabilitation, which is important to promoting landfill rehabilitation, and the market potential was assessed based on an actual project. The findings can be useful for providing landfill owners choices in a landfill rehabilitation project to achieve least quantified costs and overhead.

Funding

The study was financially supported by the National Key R&D Program of China [grant number: 2018YFC1901403].

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