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A review of literature and computer models on exposure assessment

A review of literature and computer models on exposure assessment

Butt, T.E., Clark, M., Coulon, F. and Oduyemi, K.O.K. (2009) A review of literature and computer models on exposure assessment. Environmental Technology, 30 (14). pp. 1487-1501. ISSN 0959-3330 (Print), 1479-487X (Online) (doi:10.1080/09593330903345952)

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Abstract

At the present time, risk analysis is an effective management tool used by environmental managers to protect the environment from inevitable anthropogenic activities. There are generic elements in environmental risk assessments, which are independent of the subject to which risk analysis is applied. Examples of these elements are: baseline study, hazard identification, hazards' concentration assessment and risk quantification. Another important example of such generic elements is exposure assessment, which is required in a risk analysis process for landfill leachate as it would in any other environmental risk issue. Furthermore, computer models are also being developed to assist risk analysis in different fields. However, in the review of current computer models and literature, particularly regarding landfills, the authors have found no evidence for the existence of a holistic exposure assessment procedure underpinned with a computational method for landfill leachate. This paper, with reference to the relevant literature and models reviewed, discusses the extent to which exposure assessment is absent in landfill risk assessment approaches. The study also indicates a number of factors and features that should be added to the exposure assessment system in order to render it more strategic, thereby enhancing the quantitative risk analysis.

Item Type: Article
Uncontrolled Keywords: waste disposal sites, landfill leachate, risk analysis, risk assessment, exposure analysis, exposure assessment, literature review, computer models
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QA Mathematics > QA76 Computer software
N Fine Arts > NA Architecture
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Related URLs:
Last Modified: 14 Oct 2016 09:10
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4049

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