SỬ DỤNG DỮ LIỆU NHẬN DẠNG TỰ ĐỘNG (AIS) ƯỚC TÍNH LƯỢNG KHÍ PHÁT THẢI CỦA TÀU THUYỀN HOẠT ĐỘNG TẠI THÀNH PHỐ HỒ CHÍ MINH

Tóm tắt

ESTIMATION OF EXHAUST SHIP EMISSION FROM MARINE TRAFFIC IN PORTS OF HO CHI MINH CITY USING AUTOMATIC IDENTIFICATION SYSTEM (AIS) DATA

The shipping industry, one of the least regulated sources of artificial emissions, has grown rapidly over the past decades. Increasing ship traffic has significantly affected the air quality in areas around seaports and navigational channels, especially in coastal areas. By processing the data set from the Automated Identification System (AIS) provided by Marinetraffic, this study has built a secondary database of high-resolution ship emissions for Ho Chi Minh City, Vietnam, which was ranked 26th in the top 50 largest container ports in the world, according to the 2018 ranking of The Journal of Commerce (JOC),. The amount of CO, CO₂, NO_x, and SO₂ emissions across the region from June to November 2019 is estimated at 0.82; 489.74; 2.69; 1.13x10³ tons. Cruising mode of ships are the largest contributor in the total emissions of 43-47%, followed by the berths that also contribute a significant amount of emissions from 34-41%. By ship type, container ships are the largest group with 58104 ships and emit the most 210.87x10³ tons of emissions, followed by dry tankers and oil tankers. These three types of ships account for 73.4% of total emissions. The specific Bottom-up approach is the STEAM model that was used to calculate the emission levels of 7 different ship groups. The results of the study can be used to propose effective solutions to limit the impact of ship emissions on Ho Chi Minh City's air quality.