Method for supplementing missing information in ship air pollutant emission inventory

The ship emission inventory based on automatic identification system（AIS）is a mainstream international method,and research in our country is at the follow-up stage. The key to the AIS dynamic method is the static information of the ship,but there is a severe lack of static data information in the ship registration database,which seriously affects the accuracy of the emission inventories. In our country,there are many small ships,and the existing missing information supplement methods do not conform to the national conditions of our country. Therefore,this paper constructs a model to supplement the missing static information of ships based on big data analysis. The results show that compared with existing methods such as mathematical statistics and valuation,the big data analysis method constructed in the paper has a smaller average deviation and a smaller standard deviation,which is closer to the actual value of the ship’s static information,and can effectively solve the problem of missing static information of ships.