基于AIS数据的精细化船舶排放清单方法

Application of fine vessel emission inventory compilation method based on AIS data

建立了一套采用动力计算法、以船舶自动识别系统(AIS)数据为基础,利用船舶逐条动态上报信息自下而上编制船舶大气污染物网格化排放清单的方法,尤其是针对AIS静态信息不足以支撑排放量计算的实际情况提出了一种利用多源数据匹配与回归模拟计算相结合的方法来构建船舶AIS静态信息关联属性库以实现对AIS静态数据的有效补充,为实现基于AIS数据的、逐艘次的船舶排放计算提供关键技术支持.通过在珠三角区域的大量调研和数据资料收集分析,统计梳理了船舶大气污染排量计算过程中包括远洋船、沿海船和内河船在内的主要参数的推荐均值或推演公式.通过典型地区的应用验证了方法的可行性.

A gridded vessel emission inventory compilation method using bottom-up driving mode was established,based on vessel engine-based approach and detailed dynamic report information obtained from Automatic Identification System(AIS)data.Especially for the fact that the static information of AIS was insufficient to support the emission calculation,the AIS static information correction attribute library construction method for missing data supplement was proposed to provide critical technical support for ship-to-ship emissions calculation based on AIS data.This method combines multi-source database matching method and regression simulation technique,which is capable for cases when static information can’t be supplemented directly.Through lots of investigation and massive data collection and analysis on ocean-going vessels,coastal vessels and river vessels respectively,recommended mean value and reckoning formula for missing parameters in vessel emission calculation process were summarized.Through the application of the vessel emission inventory method,AIS data processing experience,the way to obtain the temporal and spatial distribution of vessel emission and uncertainties in emission inventory results were summarized.The results of this paper can provide technical support for the vessel emission inventory calculation work in Guangdong Province,and also benefit for other regions of the country.