Occupational safety and major accident hazard at an industrial park,

Large chemical parks feature a number of single establishments, managed by different companies, which share materials and structures in a restricted area. The duties of Occupational Safety and Health (OSH) man-agement are spread among a number of employers. A number of major accident scenarios, which potentially impact many single facilities, have to be considered. Even though the OSH management, the control of Major Accident Hazard (MAH) are traditionally considered separately in practice, in legislation and in research, their integration is an emerging topic for industrial clusters. The objective of the present work is to integrate OSH risk assessment with issue characterizing the spatial-based MAH assessment. At plant unit level, information about damage area, derived from MAH, will be combined to the exposure time of a worker in a specific plant area; thus, the personal risk for each job profile may be derived and added in the OSH risk matrix. A simplified method has been developed, considering the available information and the assumptions. The proposed algorithm aims to assure the consistency between the OSH risk assessment document and the MAH ones. For each job profile, a risk map, which combines severity, exposure and probability, could be evaluated. The test site for the proposed method is a large petrochemical park, which features eight independent opera-tors, 1000 hectares area, and about 1500 employees and 1500 contractors

LONG PERIOD BENZENE MEASUREMENTS IN URBAN ATMOSPHERE

Periodogram analysis has been used as an interpretative tool of long period measurements of benzene concentration in urban atmosphere. By removing the request of evenly sampled data, the periodogram allows to extend spectral analysis to this kind of data, which usually suffer the "missing data" problem due to instrument vacancies. In this way it is possible to identify the periodic behaviour of data concentration and then reproduce it by means of harmonic functions even for very incomplete experimental information allowing a good evaluation of some important statistical properties of data