ENHANCEMENT ON METHODOLOGY FOR ESTIMATING EMISSION DISTRIBUTION AT MADURA STRAIT BY INTEGRATING AUTOMATIC IDENTIFICATION SYSTEM (AIS) AND GEOGRAPHIC IDENTIFICATION SYSTEM (GIS)

Ketut Buda Artana, Artana and Emmy Pratiwi, Pratiwi and Bagus Dinariyana, Dinariyana and Trika Pitana, Pitana and Agoes A Masroeri, Masroeri and Made, Ariana and Mohammad Danil, Arifin (2014) ENHANCEMENT ON METHODOLOGY FOR ESTIMATING EMISSION DISTRIBUTION AT MADURA STRAIT BY INTEGRATING AUTOMATIC IDENTIFICATION SYSTEM (AIS) AND GEOGRAPHIC IDENTIFICATION SYSTEM (GIS). In: 3rd International Symposium of Maritime Sciences, Kobe, Japan.

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ENHANCEMENT ON METHODOLOGY FOR ESTIMATING EMISSION DISTRIBUTION AT MADURA STRAIT BY INTEGRATING AUTOMATIC IDENTIFICATION SYSTEM (AIS) AND GEOGRAPHIC IDENTIFICATION SYSTEM (GIS).pdf

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Abstract

Madura Strait is one of the area in Indonesia having the most marine traffic density. This strait is the only access to several major ports in Indonesia, such Port of Tanjung Perak, Port of Gresik, and the new and under construction port of Teluk Lamong, as well as several berthing facilities of industries at the surroundings (see Fig. 1). Port of Tanjung Perak Surabaya – Indonesia, is one of the biggest and busiest ports in Indonesia. Currently, not less than 27.000 shil calls to be served by port annually and it is expected to double in 2030 (Artana, 2012). Increasing amount of ships in the Madura strait will produce more emission. Main purpose of this study is to seek the possibility of further enhancing the methodology in examining the distribution of emissions from ships operating in the area and to determine the effect of ship emissions on health in the Madura Strait area (Pitana, et al). Exhaust emissions from the ships can cause health and environmental problems. Kinds of air pollutants contained in exhaust gas emissions such nitrogen oxides (NOx), carbon monoxide (CO) and sulfur oxides (SOx). Traffic data obtained from the Automatic Identification System (AIS) installed in ITS Surabaya is used to calculate the estimated amount of emission by applying methodology provided by Trozzi et al. The data from the Automatic Identification System (AIS) is further integrated with the Geographic Identification System (GIS) software as well as the shipping database.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Exhaust Gas Emission, Automatic Identification System (AIS), Geographic Identification System (GIS), Shipping database, Gaussian Plume
Subjects: 600 Technology and Applied Sciences /Teknologi dan Ilmu-ilmu Terapan > 629.04 Transportation Engineering/Teknik Transportasi
Divisions: Fakultas Teknologi Kelautan > Teknik Sistem Perkapalan
Depositing User: Mohammad Danil Arifin FTK
Date Deposited: 13 Apr 2020 03:37
Last Modified: 13 Apr 2020 03:37
URI: http://repository.unsada.ac.id/id/eprint/1185

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