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In addition to being one of the largest metropolises in the world, Istanbul is also one of the busiest routes of international maritime transport through the Strait of Istanbul (SoI). Currently, the average number of ships which passes through SoI is approximately 45,000. This number does not increase much due to the natural structure of SoI. So, larger ships with larger tonnages pass through SoI. In addition to the existing transit ship traffic in SoI, ship-based exhaust pollution caused by local maritime traffic adversely affects human health, comfort and the environment. In this study, the exhaust emissions generated by the ships of the local companies transporting in SoI were investigated. In addition, exhaust emissions from ships, one of the most important air pollutant emission sources such as motor vehicles, industrial processes and heating of residences in Istanbul, were calculated and presented. Ship exhaust gas emissions in SoI were calculated based on actual ship movements and ship machinery information using the bottom up method.

In this paper, aircraft emissions (nitrogen oxides, carbon monoxide, and hydrocarbons) were estimated during landing and take-off (LTO) cycles for the year 2018 at Batumi International Airport in Georgia. The calculation model is based on flight data recorded by TAV Airports Holding Corporations in Georgia, including type and number of aircraft, engine type, number of passengers, and emission factors from the International Civil Aviation Organization Engine Exhaust Emission Databank were used for estimating the emissions. The total aircraft emissions during the LTO cycle were assessed as 68.96 t/y (39.78 t/y for NOx, 25.92 t/y for CO, and 3.26 t/y for HC) at Batumi international airport. Domestic flights were accountable for 68% of the total LTO emissions in 2018. The findings displayed that NOx was mainly released during the take-off and climb-out modes, accounting for 27% and 37% of the total emissions. CO and HC emissions were released mostly in taxi mode and responsible for 77% and 70% of total emissions. The assessment demonstrates that a 2-minute reduction in taxi mode results in an approximate 6% reduction in LTO emissions. To predict future emissions, it was evaluated that a 50% increase in LTO cycles would result in an increase of approximately 55-60% in emissions.

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