内河航道船舶尾气快速排放清单研究——以长江江苏段为例

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交通运输研究 ›› 2020, Vol. 6 ›› Issue (2) : 91-100.

苑帅，封学军，朱逸凡

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Rapid Inventory of Ship Exhaust Emissions for Inland Waterway: a Case Study in Jiangsu Section of Yangtze River

Yuan Shuai, Feng Xue-jun, Zhu Yi-fan

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摘要

为高效计算和分配内河航道船舶尾气污染排放，支撑船舶排放控制区建设，提出了一种内河航道船舶尾气排放清单快速计算方法。以长江江苏段为例，选取10个控制断面，基于船舶自动识别系统（Automatic Identification System, AIS）和劳氏船级社数据库，采用船舶交通排放估算模型（Ship Traffic Emission Assessment Model, STEAM），建立10个控制断面的船舶排放清单，在分析各断面污染物空间分布特征的基础上，采用反距离加权插值法（Inverse Distance Weighted, IDW）建立连续排放模型，计算断面间的船舶排放。结果表明：2017年长江江苏段船舶尾气排放SO2, NOx, PM10, PM2.5, CO和挥发性有机物（Volatile Organic Compound, VOC）分别为5.53万t, 19.21万t, 1.25万t, 0.95万t, 0.98万t和0.45万t。与使用全部AIS数据的传统STEAM相比，该方法在保证80%计算精度的基础上，能显著减少计算所需数据量和时间。

Abstract

In order to effectively calculate and distribute the ship exhaust emissions in inland waterway, and support the construction of emission control area, a new method to develop a rapid ship emission inventory was proposed. Taking Jiangsu section of Yangtze River (JYR) as an example, based on the database of Automatic Identification System (AIS) and Lloyd′s Register of Shipping, the emission inventory of 10 control sections which were selected in JYR was established by using Ship Traffic Emission Assessment Model (STEAM). After analyzing the spatial distribution characteristics of pollutants in each section, a continuous emission model was established by using the Inverse Distance Weighted (IDW) to estimate the ship emissions between each section. The results show that the ship exhaust emissions of SO2, NOx, PM10, PM2.5, CO and Volatile Organic Compound (VOC) are 55.3×103t, 192.1×103t, 12.5×103t, 9.5×103t, 9.8×103t and 4.5×103t respectively. Compared with the conventional STEAM using all AIS data of the whole JYR, the proposed method can significantly reduce the amount of data and calculation time on the basis of 80% accuracy.

导出引用

苑帅, 封学军, 朱逸凡. 内河航道船舶尾气快速排放清单研究——以长江江苏段为例[J]. 交通运输研究. 2020, 6(2): 91-100

Yuan Shuai, Feng Xue-jun, Zhu Yi-fan. Rapid Inventory of Ship Exhaust Emissions for Inland Waterway: a Case Study in Jiangsu Section of Yangtze River[J]. Transport Research. 2020, 6(2): 91-100

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