[Vessel Emission Inventories and Emission Characteristics for Inland Rivers in Jiangsu Province].

Based on ship visas, lockage data, and automatic identification system (AIS) data, vessel emission inventories for inland rivers of Jiangsu Province were established by using a vessel power-based approach, and the characteristics of vessel emissions were also discussed. The results showed that NO _x , SO ₂ , PM _2.5 , PM ₁₀ , hydrocarbons (HC), CO, and CO ₂ emissions of inland ships in 2014 were 1.87×10 ⁵ , 5.13×10 ⁴ , 8.2×10 ³ , 1.1×10 ⁴ , 6.4×10 ³ , 1.67×10 ⁴ , and 1.05×10 ⁷ t, respectively, for inland vessels (excluding the Yangtze River), and dry cargo ships had the largest pollutant emissions. The highest pollutant emissions were found in the tonnage range of 200-600 t, and the highest pollutant emissions were found during the normal navigation conditions of ships. For the arrival of ships in the Jiangsu section of the Yangtze River, the non-container cargo ships had the highest pollutant emissions, and the emissions of pollutants were the highest under loading and unloading conditions. Under a cruise state, the main engine and auxiliary engine were the main emission units for different power units; for transit ships in the Jiangsu section of the Yangtze River, non-container cargo ships had the highest pollutant emissions, followed by oil tankers. The highest emissions of all pollutants occurred under slow driving conditions, and for different power units, the emissions of SO ₂ , PM _2.5 , and PM ₁₀ from the main engine were higher than those from the auxiliary engine. The emissions of atmospheric pollutants along the channel length of the channel of the North Jiangsu section of the Beijing-Hangzhou Grand Canal were relatively large, followed by those of the South Jiangsu Channel. The inland ship emissions in Jiangsu Province were less affected by time, except for the slightly smaller proportion of emissions in February, and the proportion of emissions in other months was basically uniform, where values ranged from 8% to 10%.