Literature DB >> 10795338

Categorizing risks for risk ranking.

M G Morgan1, H K Florig, M L DeKay, P Fischbeck.   

Abstract

Any practical process of risk ranking must group hazards into a manageable number of categories. Defining such categories requires value choices that can have important implications for the rankings that result. Most risk-management organizations will find it useful to begin defining categories in terms of environmental loadings or initiating events. However, the resulting categories typically need to be modified in light of other considerations. Risk-ranking projects can benefit from considering several alternative categorization strategies and drawing upon elements of each in developing their final categorization of risks. In principle, conducting multiple ranking exercises by using different categorizations could be interesting and useful. In practice, agencies are unlikely to have either the resources or patience to do this, but other groups in society might. Done well, such additional independent rankings could add valuable inputs to democratic risk-management decision making.

Mesh:

Year:  2000        PMID: 10795338     DOI: 10.1111/0272-4332.00005

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

1.  Realizing the potential of ecosystem services: a framework for relating ecological changes to economic benefits.

Authors:  Lisa Wainger; Marisa Mazzotta
Journal:  Environ Manage       Date:  2011-07-24       Impact factor: 3.266

2.  Environmental risks to public health in the United Arab Emirates: a quantitative assessment and strategic plan.

Authors:  Jacqueline MacDonald Gibson; Zeinab S Farah
Journal:  Environ Health Perspect       Date:  2012-02-22       Impact factor: 9.031

3.  A probabilistic analysis reveals fundamental limitations with the environmental impact quotient and similar systems for rating pesticide risks.

Authors:  Robert K D Peterson; Jerome J Schleier
Journal:  PeerJ       Date:  2014-04-22       Impact factor: 2.984

4.  A configural model of expert judgement as a preliminary epidemiological study of injury problems: An application to drowning.

Authors:  Damian Morgan; Joan Ozanne-Smith
Journal:  PLoS One       Date:  2019-10-24       Impact factor: 3.240

  4 in total

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