Prediction of CO2 Emitted by Marine Transport in Batam-Singapore Channel using AIS

2014 ◽  
Vol 69 (7) ◽  
Author(s):  
M. Rashidi ◽  
Jaswar Koto
Keyword(s):  
Air Pollution ◽  
Co2 Emission ◽  
Environmental Damage ◽  
Automatic Identification ◽  
Identification System ◽  
World Community ◽  
Marine Transport ◽  
Entire World ◽  
Straits Of Malacca ◽  
Strait Of Malacca

Global warming and air pollution have become one of the important issues to the entire world community. Exhaust emissions from ships has been contributing to the health problems and environmental damage. This study focuses on the Strait of Malacca area because it is one of the world’s most congested straits used for international shipping where located on the border among three countries of Indonesia, Malaysia and Singapore. This study will predict CO2 emission from the marine transport. This is accomplished by developed a ship database in the Straits of Malacca by using the data which obtained from Automatic Identification System (AIS). From the database, MEET methodology is used to estimate the CO2 emission from ships.

Marine Navigation Collision Preventing System

2014 ◽  
Vol 69 (7) ◽  
Author(s):  
Amirrudin Yaacob ◽  
M. Rashidi ◽  
Jaswar Koto
Keyword(s):  
Search And Rescue ◽  
Maritime Security ◽  
Automatic Identification ◽  
Identification System ◽  
World Community ◽  
Stopping Distance ◽  
Safety Distance ◽  
Entire World ◽  
Security Regulations ◽  
Marine Navigation

Navigation safety has become one of the important issues to the entire world community. Automatic Identification System (AIS) firstly has been used to comply with safety and security regulations, functioning as collision avoidance, vessel traffic services, maritime security, aids to navigation, search and rescue and accident investigation. This paper presents marine navigation collision preventing system between ships and ships using AIS. In the system, the raw data from AIS is crossed with database based MMSI number to find detail information then, location of each ship was plotted on to Google Map. The safety distance is assessed based actual and stopping distance. The system was tested in the Batam and Singapore Channel.   

scholarly journals Oil Flow Analysis in the Maritime Silk Road Region Using AIS Data

2020 ◽  
Vol 9 (4) ◽  
pp. 265 ◽  
Author(s):  
Yijia Xiao ◽  
Yanming Chen ◽  
Xiaoqiang Liu ◽  
Zhaojin Yan ◽  
Liang Cheng ◽  
...  
Keyword(s):  
Flow Analysis ◽  
Silk Road ◽  
Energy Information Administration ◽  
Automatic Identification ◽  
Identification System ◽  
General Direction ◽  
Maritime Silk Road ◽  
Oil Flow ◽  
Straits Of Malacca ◽  
The U.S

Monitoring maritime oil flow is important for the security and stability of energy transportation, especially since the “21st Century Maritime Silk Road” (MSR) concept was proposed. The U.S. Energy Information Administration (EIA) provides public annual oil flow data of maritime oil chokepoints, which do not reflect subtle changes. Therefore, we used the automatic identification system (AIS) data from 2014 to 2016 and applied the proposed technical framework to four chokepoints (the straits of Malacca, Hormuz, Bab el-Mandeb, and the Cape of Good Hope) within the MSR region. The deviations and the statistical values of the annual oil flow from the results estimated by the AIS data and the EIA data, as well as the general direction of the oil flow, demonstrate the reliability of the proposed framework. Further, the monthly and seasonal cycles of the oil flows through the four chokepoints differ significantly in terms of the value and trend but generally show an upward trend. Besides, the first trough of the oil flow through the straits of Hormuz and Malacca corresponds with the military activities of the U.S. in 2014, while the second is owing to the outbreak of the Middle East Respiratory Syndrome in 2015.

scholarly journals Methodology of Acquiring Valid Data by Combining Oil Tankers’ Noon Report and Automatic Identification System Satellite Data

2019 ◽  
Vol 31 (3) ◽  
pp. 299-309 ◽  
Author(s):  
Ali Akbar Safaei ◽  
Hassan Ghassemi ◽  
Mahmoud Ghiasi
Keyword(s):  
Air Pollution ◽  
Fuel Consumption ◽  
Root Mean Square ◽  
Satellite Data ◽  
Expected Value ◽  
Automatic Identification ◽  
Identification System ◽  
Mean Square ◽  
Automatic Identification System ◽  
Valid Data

Fuel consumption of marine vessels plays an important role in both generating air pollution and ship operational expenses where the global environmental concerns toward air pollution and economics of shipping operation are being increased. In order to optimize ship fuel consumption, the fuel consumption prediction for her envisaged voyage is to be known. To predict fuel consumption of a ship, noon report (NR) data are available source to be analysed by different techniques. Because of the possible human error attributed to the method of NR data collection, it involves risk of possible inaccuracy. Therefore, in this study, to acquire pure valid data, the NR raw data of two very large crude carriers (VLCCs) composed with their respective Automatic Identification System (AIS) satellite data. Then, well-known models i.e. K-Mean, Self-Organizing Map (SOM), Outlier Score Base (OSB) and Histogram of Outlier Score Base (HSOB) methods are applied to the collected tankers NR during a year. The new enriched data derived are compared to the raw NR to distinguish the most fitted methodology of accruing pure valid data. Expected value and root mean square methods are applied to evaluate the accuracy of the methodologies. It is concluded that measured expected value and root mean square for HOSB are indicating high coherence with the harmony of the primary NR data.

The Zhenhua Case: the emergence of civil environmental public interest litigation in China

2021 ◽  
Vol 14 (2) ◽  
pp. 116-128
Author(s):  
Wenjun Yan
Keyword(s):  
Air Pollution ◽  
Environmental Protection ◽  
Public Interest ◽  
Pollution Control ◽  
Environmental Damage ◽  
Air Pollution Control ◽  
Public Interest Litigation ◽  
First Time ◽  
Restoration Cost

Abstract In 2015, the All-China Environment Federation v Dezhou Jinghua Group Zhenhua Corporation Limited case was the first civil environmental public interest litigation (CEPIL) against air pollution in China. Constituting a milestone in the field of air pollution control in China, this case (i) confirms the eligibility of a non-governmental organisation (NGO) to file civil public interest litigations; (ii) discusses remedies for the ecological destruction caused by air pollution; (iii) assesses the ecological and environmental damage using the ‘virtual restoration cost’ method; and (iv) uses public apology as an innovative way for Zhenhua to assume liability. By applying and interpreting several important rules under the Environmental Protection Law of China (EPLC) for the first time, this case sets an example for future CEPILs against air pollution in China.

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