Currently the range of impact prediction techniques in the EIA process is broad and encompasses the use of analogies through sophisticated mathematical models. In a specific environmental impact study, several prediction tech-
TABLE 2.4.2 SYSTEMATIC GROUPING OF PREDICTION TECHNIQUES (ENVIRONMENTAL RESOURCES LIMITED 1982)
Physical models illustrative models working models Field experiments Laboratory experiments
Empirical models site-specific empirical models generalized empirical models Internally descriptive models emission factor models roll-back models simple mixing models steady-state dispersion models complex mathematical models
Inventory techniques Evaluation techniques Visibility techniques niques may be required due to the availability of data and specific mathematical models (Stakhiv et al. 1981 and Stakhiv 1986). In addition, as greater attention is given to the global environment and to potential global consequences of large projects or activities, mesoscale environmental consequences must be considered.
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