Proposal Of A Model For Chemical Risk
Preliminary Assessment
Author(s)
S. Apolloni, M. Fera & R. Macchiaroli
Abstract
Chemical risk assessment is an increasing problem in the industrial environment
due to the particular nature of the risk. The need to measure the concentration of
chemical substances, moreover, may cause additional costs for assessment. So,
the main problem that arises is to avoid sampling and measuring campaigns
whenever possible. This objective can be achieved using a more reliable
assessment model, like the one proposed in this paper. The aim of this paper is to
describe the model, which is based on the assumption that the concentration of
chemical agents has a log-normal distribution, and to discuss its increased
reliability features.
1 Introduction
The study described in this paper stems from a need particularly felt in the
\“Health and Safety at Work” community: the need to develop reliable but easily
applicable preliminary chemical risk assessment models. In other words, the
proposed model is used before the application of standard assessment models
proposed for example by the EN 689, EN 482 and NIOSH methods. In fact these
models require, in any case, the measurement of the concentration of chemical
agents. The results of the measurement campaign are then the input of a
stochastic model used to assess the residual risk. All the guidelines mentioned
before use a statistical approach based on the log-normal confidence test and on
Keywords
Related Book
Other papers in this volume
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