Abstract
Worldwide atmospheric corrosion and environmental data, compiled in a comprehensive literature survey were statistically processed for establishing general corrosion damage functions for mild steel, zinc, copper and aluminium, in terms of simple meteorological and pollution parameters. The regression equations thus developed account for 83, 62, 59 and 41% of the variance in the annual corrosion data for zinc, steel, aluminium and copper, respectively. The goodness of the fits of data from rural atmospheres is considerably lower.
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