Investigation of sniffer technique on remote measurement of ship emissions: A case study in Shanghai, China

• DOI: 10.1371/journal.pone.0274236
• Publication Date: 2022-09-16T17:36:46Z
• Authors: Xiaobo Li; Ke Li; Qingpeng Ji; Feixiang Shen; Qiang Wu; Qiuyan Chen; Liangjing Luo; Xijia Bian; Wei Chen; Diming Lou
• Keywords: Automatic Identification System; Port (circuit theory); Identification

Shipping emissions have aroused wide concern in the world. In order to promote implementation of emission regulations, this study develop a ship based sniffing technique perform remote measurement SO 2 , NO x and CO from ships entering leaving Shanghai port at open sea. The prediction model, Smoke diffusion model source identification were developed automatically analyze data screen object on Automatic Identification System (AIS) system. fueling documents detected obtained maritime sector results precision sniffer was evaluated by comparing measured Fuel sulfur content (FSC) with actual value deduced documents. influences wind speed direction, parameters monitoring distance accuracy calculated FSC thoroughly investigated corresponding correction factors under different conditions deduced. modified factor ratio NOx proposed improve accuracy. It is demonstrated that higher than m/s test shorter 400m, exhibit high efficiency for upwind detection rate 90% error below 15%. To reduce influence least two systems required guarantee one station downwind lane. Based discussion, novel system buoy stations placed close each side lane far off shore realize emissions.