Ship Air Pollution Estimation by AIS Data: Case Port of Klaipeda

被引:4
|
作者
Rapalis, Paulius [1 ]
Silas, Giedrius [2 ]
Zaglinskis, Justas [3 ]
机构
[1] Klaipeda Univ, Marine Res Inst, Herkaus Manto Str 84, LT-92294 Klaipeda, Lithuania
[2] Klaipeda Univ, Fac Marine Technol & Nat Sci, LT-92294 Klaipeda, Lithuania
[3] Lithuanian Maritime Acad, I Kanto 7, LT-92123 Klaipeda, Lithuania
关键词
port emissions; emission factor; air pollution; AIS data; Klaipeda port; maritime transport; emission from ships; EXHAUST EMISSIONS; PM CONCENTRATIONS; IMPACT; QUALITY; PM2.5; IDENTIFICATION; HARBOR; CITY; NOX;
D O I
10.3390/jmse10121950
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Ships operating on fossil fuel release pollutant emissions into the atmosphere. Released pollutants have a negative effect on the environment and human health, especially in port cities. For this reason, it is very important to properly evaluate these emissions so they can be managed. The current and most common methodologies for shipping pollution evaluation are used for whole port areas or larger terminals over a long period of time and are not analyzed in terms of detailed activity, which may lead to underestimations in certain areas. This study aims to evaluate emissions from ships in port by combining ships' technical, AIS and EMEP data that allow us to evaluate emissions in port, not as a singular area source but enables individual ship emissions evaluation at any given point in time. To achieve this emission calculation, an algorithm was compiled by using EMEP/EEA Tier 3 methodology. The developed method presents a way to evaluate emissions in a detailed manner not only for groups of ships but also for individual ships if that is required. This method also lets us analyze shipping emissions' intensity throughout all port territory and identify the most excessive pollution sources. However, the method adds additional work for researchers because of the huge data arrays required for complex calculations.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters
    Zhang, Liye
    Meng, Qiang
    Fwa, Tien Fang
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2019, 129 : 287 - 304
  • [22] Assessment of the Impact of Klaipeda State Seaport Cruise Shipping on Air Pollution
    Pletkauskaite, G.
    Zukauskaite, A.
    Zukauskaite, J.
    Paliakiene, I
    [J]. TRANSPORT MEANS 2018, PTS I-III, 2018, : 1167 - 1173
  • [23] Empirical Ship Domain based on AIS Data
    Hansen, Martin Gamborg
    Jensen, Toke Koldborg
    Lehn-Schioler, Tue
    Melchild, Kristina
    Rasmussen, Finn Molsted
    Ennemark, Finn
    [J]. JOURNAL OF NAVIGATION, 2013, 66 (06): : 931 - 940
  • [24] Estimation of ship emissions in the port of Taranto
    Adamo, Francesco
    Andria, Gregorio
    Cavone, Giuseppe
    De Capua, Claudio
    Lanzolla, Anna Maria Lucia
    Morello, Rosario
    Spadavecchia, Maurizio
    [J]. MEASUREMENT, 2014, 47 : 982 - 988
  • [25] Estimation of worldwide ship emissions using AIS signals
    Uge, Constance
    Scheidweiler, Tina
    Jahn, Carlos
    [J]. 2020 EUROPEAN NAVIGATION CONFERENCE (ENC), 2020,
  • [26] Towards Smart Port: An Application of AIS Data
    Rajabi, Aboozar
    Saryazdi, Ali Khodadad
    Belfkih, Abderrahmen
    Duvallet, Claude
    [J]. IEEE 20TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS / IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITY / IEEE 4TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 2018, : 1414 - 1421
  • [27] Monitoring of NO2 air pollution in the port of Livorno and spatialization of data
    Collaveri, Chiara
    Andreini, Bianca Patrizia
    Bini, Elisa
    Borin, Luca
    Dini, Fiammetta
    Fortunato, Stefano
    Grossi, Camilla
    Rosato, Marina
    Sivieri, Bianca
    [J]. AIR QUALITY ATMOSPHERE AND HEALTH, 2024, 17 (08): : 1629 - 1643
  • [28] Ship classification based on ship behavior clustering from AIS data
    Zhou, Yang
    Daamen, Winnie
    Vellinga, Tiedo
    Hoogendoorn, Serge P.
    [J]. OCEAN ENGINEERING, 2019, 175 : 176 - 187
  • [29] Development of Fuzzy Observer Gain Design Algorithm for Ship Path Estimation Based on AIS Data
    Pen, Chin-Lin
    Chang, Wen-Jer
    Lin, Yann-Horng
    [J]. PROCESSES, 2022, 10 (01)
  • [30] Estimation Method of Port Handling Efficiency Value Based on Ship Big Data
    Liao, Shi-Guan
    Yang, Dong
    Bai, Xi-Wen
    Weng, Jin-Xian
    [J]. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2021, 21 (02): : 217 - 223