TY - JOUR
T1 - Air quality monitoring and assessment based on AIS data
AU - Maulidi, A.
AU - Sambodho, K.
AU - Dinariyana, A. A.B.
AU - Ilmah, A. M.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2024
Y1 - 2024
N2 - Indonesia is an archipelagic country, where sea transportation is highly needed to connect the islands among Indonesian regions. Indonesian waters are also passed by international shipping passing through the Indonesia Archipelagic Sea Lane. Number of ships tends to increase by increasing the economic activities in Indonesia. The increasing number of ships will potentially cause the increase of air pollution in Indonesia waters. AIS consortium has been established since 2020 focusing on conducting join research and development on several issues that can be solved using Automatic Identification System (AIS) data gathered from AIS devices that have been installed in several universities as members of the consortium. One potential use of AIS data is the estimation of capacity and spreading of air pollution caused by shipping activities in Indonesia waters. As AIS can provide ship's navigation status time-to-time, the estimation of fuel consumption as well as the emission can be estimated in real time. For highly accusation fuel oil consumption prediction is done by using the Random Forest Model and ship emissions including CO2, NO2, SO2, PM2.5, and PM10 are estimated based on emission factors from ships. This analysis is mapping the contribution of air pollution based on ship type in the Tanjung Perak port area. Later, it is expected to become the basis for Indonesia's maritime operation policy in order to monitor and control the emission contributed by the ships in Indonesian waters.
AB - Indonesia is an archipelagic country, where sea transportation is highly needed to connect the islands among Indonesian regions. Indonesian waters are also passed by international shipping passing through the Indonesia Archipelagic Sea Lane. Number of ships tends to increase by increasing the economic activities in Indonesia. The increasing number of ships will potentially cause the increase of air pollution in Indonesia waters. AIS consortium has been established since 2020 focusing on conducting join research and development on several issues that can be solved using Automatic Identification System (AIS) data gathered from AIS devices that have been installed in several universities as members of the consortium. One potential use of AIS data is the estimation of capacity and spreading of air pollution caused by shipping activities in Indonesia waters. As AIS can provide ship's navigation status time-to-time, the estimation of fuel consumption as well as the emission can be estimated in real time. For highly accusation fuel oil consumption prediction is done by using the Random Forest Model and ship emissions including CO2, NO2, SO2, PM2.5, and PM10 are estimated based on emission factors from ships. This analysis is mapping the contribution of air pollution based on ship type in the Tanjung Perak port area. Later, it is expected to become the basis for Indonesia's maritime operation policy in order to monitor and control the emission contributed by the ships in Indonesian waters.
UR - http://www.scopus.com/inward/record.url?scp=85214022072&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1423/1/012024
DO - 10.1088/1755-1315/1423/1/012024
M3 - Conference article
AN - SCOPUS:85214022072
SN - 1755-1307
VL - 1423
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012024
T2 - 4th Maritime Safety International Conference, MASTIC 2024
Y2 - 25 August 2024 through 28 August 2024
ER -