Hazard assessment of waste disposal sites. Part 2: a holistic approach for landfill leachates

Butt, Talib E., Davidson, Henry A. and Oduyemi, Kehinde O. K. (2008) Hazard assessment of waste disposal sites. Part 2: a holistic approach for landfill leachates. International Journal of Risk Assessment and Management, 10 (1/2). pp. 109-129. ISSN 1466-8297

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1504/IJRAM.2008.021057


The review of literature and computer models described in Part 1 of this paper led the authors to conclude that a quantitative hazard assessment methodology does not exist, in holistic terms, for landfill leachate. Although there are various reports and models addressing different aspects of the methodology, they are not integrated and show different degrees of completion. This part of the paper attempts to bridge some of these knowledge gaps by adapting and researching further the existing research studies to outline a more holistic framework for quantitative hazard assessment. This framework is more categorical, structured and sequential to render the hazard assessment more complete and effective in underpinning quantitative risk analysis. The focus of the paper is to cover the whole range of the hazard assessment in the form of a fundamental framework that draws together all relevant modules and sub-modules under one umbrella, without engaging in much in-depth detail of the modules and sub-modules themselves.

Item Type: Article
Uncontrolled Keywords: holistic framework; landfill leachate; landfills; quantitative hazard assessment; quantitative risk analysis; waste disposal sites; risk assessment
Subjects: H900 Others in Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Paul Burns
Date Deposited: 05 Sep 2019 15:08
Last Modified: 10 Oct 2019 15:33
URI: http://nrl.northumbria.ac.uk/id/eprint/40540

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics