TY - GEN
T1 - Emission Evaluation of Marine Traffic
AU - Qi, Jingwen
AU - Wang, Shuaian
AU - Qu, Xiaobo
PY - 2020/8
Y1 - 2020/8
N2 - Air pollution is an issue that has been widespread concern in all sectors of society. The pollutants, including toxic gases, greenhouse gases, and particulate matters, have permeated every aspect of our daily life and have a negative impact on human health, agriculture, industry, and climate change. Found by hard and thorough search, the human activities account for the majority and the transport sector is one of the most challenging areas, when it comes to abatement of local air pollution. Marine traffic, which covers over 80% of international trade, is mainly powered by cheap fuel oil with high impurities, so it will affect the social welfare of the coastal areas. Various measures that can be adopted to alleviate the problem to customize suitable regulations through research of the emission from shipping should be conducted. Also, the emission evaluation is critical to measure the efficiency of the regulation. Therefore, following the main steps of Ship Traffic Emissions Assessment Model, we summarize an activity-based framework of shipping emission evaluation that takes advantage of data from automatic identification system.
AB - Air pollution is an issue that has been widespread concern in all sectors of society. The pollutants, including toxic gases, greenhouse gases, and particulate matters, have permeated every aspect of our daily life and have a negative impact on human health, agriculture, industry, and climate change. Found by hard and thorough search, the human activities account for the majority and the transport sector is one of the most challenging areas, when it comes to abatement of local air pollution. Marine traffic, which covers over 80% of international trade, is mainly powered by cheap fuel oil with high impurities, so it will affect the social welfare of the coastal areas. Various measures that can be adopted to alleviate the problem to customize suitable regulations through research of the emission from shipping should be conducted. Also, the emission evaluation is critical to measure the efficiency of the regulation. Therefore, following the main steps of Ship Traffic Emissions Assessment Model, we summarize an activity-based framework of shipping emission evaluation that takes advantage of data from automatic identification system.
KW - Activity-based method
KW - AIS data
KW - Emission evaluation
UR - http://www.scopus.com/inward/record.url?scp=85086182436&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-5270-0_18
DO - 10.1007/978-981-15-5270-0_18
M3 - Conference article published in proceeding or book
AN - SCOPUS:85086182436
SN - 9789811552694
T3 - Smart Innovation, Systems and Technologies
SP - 201
EP - 211
BT - Smart Transportation Systems 2020 - Proceedings of 3rd KES International Symposium, KES-STS 2020
A2 - Qu, Xiaobo
A2 - Zhen, Lu
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
PB - Springer
T2 - 3rd KES International Symposium on Smart Transportation Systems, KES-STS 2020
Y2 - 17 June 2020 through 19 June 2020
ER -
