NEW METHODOLOGY FOR MODELING ANNUAL-AIRCRAFT EMISSIONS AT AIRPORTS

An as-accurate-as-possible estimation of total-aircraft emissions are an essential component of any environmental-impact assessment done for proposed expansions at major airports. To determine the amount of emi ssions generated by aircraft using present models it is necessary to k now the emission characteristics of all engines that are on all planes using the airport. However, the published data base does not cover al l engine types and, therefore, a new methodology is needed to assist i n estimating annual emissions from aircraft at airports. Linear regres sion equations relating quantity of emissions to aircraft weight using a known-fleet mix are developed in this paper. Total-annual emissions for CO, NO(x), NMHC, SO(x), CO2, and N2O are tabulated for Toronto's international airport for 1990. The regression equations are statistic ally significant for all emissions except for NMHC from large jets and NO(x) and NMHC for piston-engined aircraft. This regression model is a relatively simple, fast, and inexpensive method of obtaining an annu al-emission inventory for an airport.