Abstract

This study aims to provide a new methodology using the Globally Harmonized System (GHS) and the Mahalanobis–Taguchi System (MTS) that can be used to assess the overall hazard of a chemical using GHS information. Previously, hazardous chemicals were designated and managed by the Chemical Management Act, but many more chemicals are now in use. Damage prediction modeling programs predict the extent of damage and proactively manage high-risk chemicals, but the lack of physical and chemical characterization information relating to chemicals has limitations that cannot be modeled. To overcome such limitations, a new method of chemical management prioritization was developed using the GHS and Mahalanobis–Taguchi System (MTS). For effective management, the risk of a chemical can be ranked according to a comprehensive risk assessment and calculated through multivariate analysis using the GHS. Relative hazards are then identified using MTS multivariate analysis with GHS information, even when there is insufficient information about the chemical’s characteristics, and the method can be applied to a large number of different chemicals.

Highlights

  • With the increased expansion of industries, there has been a corresponding increase in the number of chemicals stored, handled, and distributed

  • The ranking of chemicals calculated using the Mahalanobis distance (MD) and damage distances correlates to positive linearity and the Spearman correlation coefficient between the two ranks is r = 0.522

  • Globally Harmonized System (GHS) information was altered to conduct sensitivity analysisrespectively, and the results showed that therate of chemicals was similar, except damage distance, showed a matched ofranking

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Summary

Introduction

With the increased expansion of industries, there has been a corresponding increase in the number of chemicals stored, handled, and distributed. In Korea, chemicals that are considered highly likely to cause chemical accidents due to their hazardous nature, or which are likely to cause severe damage if an associated accident occurs, are designated as “chemicals requiring preparation for accident” and require an accident preparation plan to be devised under the Chemical Control Act, with the aim of preventing such damage from chemical accidents [5,6,7]. In this respect, the damage prediction modeling program provides preferential

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