본 연구는 2014년 10월 동안 인천항만에 기항하는 선박들의 온실가스 배출량을 추정하고자 시도되었다. 온실가스 배출량 추정을 위하여 AIS 데이터를 토대로 한 Bottom-up 방식을 활용하였으며 ...
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https://www.riss.kr/link?id=A105244047
2018
English
AIS ; GHG ; Ship CO₂ Emission ; Incheon Port ; Bottom-up Approach ; 온실가스 ; 선박 CO₂ 배출 ; 인천항 ; Bottom-up 방식
KCI등재
학술저널
65-79(15쪽)
0
0
상세조회0
다운로드국문 초록 (Abstract)
본 연구는 2014년 10월 동안 인천항만에 기항하는 선박들의 온실가스 배출량을 추정하고자 시도되었다. 온실가스 배출량 추정을 위하여 AIS 데이터를 토대로 한 Bottom-up 방식을 활용하였으며 ...
본 연구는 2014년 10월 동안 인천항만에 기항하는 선박들의 온실가스 배출량을 추정하고자 시도되었다. 온실가스 배출량 추정을 위하여 AIS 데이터를 토대로 한 Bottom-up 방식을 활용하였으며 연료소비총량과 연료소비의 결과로서 발생한 이산화탄소 총량을 함께 분석하였다. 배출량 추정은 선박의 종류를 토대로 추정되었으며 각각 개별 선박의 날짜-시간 스템프 사이에서 그들의 움직임에 따라 계산되었다. 인천항에서 운항되는 최종 330 척(AIS-데이터)의 선박 샘플의 결과에 따르면 선박들의 총 이산화탄소 배출량은 164693.06 톤으로 추정되었으며, 연구기간동안 이들 선박의 총 연료소비량은 51953.64 톤에 이르는 것으로 나타났다. 선박의 종류에 따른 구체적 분석 결과를 살펴보면, 여객선이 배출량 81409.6톤으로 가장 오염이 심한 선박으로 나타났으며, 그 뒤를 이어 예인선 (37248.4톤), 화물선 (32154.6톤), 다른 활동에 사용된 선박 (9039.1톤), 화학 탱커 (4027.06톤) 그리고 어선 (814.048톤) 순으로 확인되었다.
다국어 초록 (Multilingual Abstract)
This paper attempts to estimate GHG emissions, primarily CO₂ ship emissions, at the port of Incheon in October 2014. This study employed a bottom-up approach based on Automatic Identification System (AIS) data to estimate the total amount of fuel co...
This paper attempts to estimate GHG emissions, primarily CO₂ ship emissions, at the port of Incheon in October 2014. This study employed a bottom-up approach based on Automatic Identification System (AIS) data to estimate the total amount of fuel consumption and the total amount of CO₂ emission produced as a result of fuel combustion. Using a sample of 330 ships operating at the port of Incheon in Korea, the total amount of CO₂ gases emitted from ships in October 2014 were estimated to be 164693.06 tons, with estimated total fuel consumption of 51953.64 tons. General cargo ships were most common type of ships, but they were less polluting compared to passenger ships. The detailed emission estimates by ship type revealed that passenger ships were the most polluting ships (81409.6 tons of emissions), followed by tugboats (37248.4 tons), cargo ships (32154.6 tons), ships used for other activities (9039.1 tons), chemical tankers (4027.06 tons), and fishing ships (814.048 tons), respectively.
목차 (Table of Contents)
참고문헌 (Reference)
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A Study on Current Situation and Future Development of RoRo Routes in the Philippines
Malmquist 생산성 지수(MPI)를 이용한 한국 조선 산업의 생산성 변화
학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2026 | 평가예정 | 재인증평가 신청대상 (재인증) | |
2020-01-01 | 평가 | 등재학술지 유지 (재인증) | |
2017-01-01 | 평가 | 등재학술지 유지 (계속평가) | |
2013-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2010-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2007-01-01 | 평가 | 등재학술지 선정 (등재후보2차) | |
2006-01-01 | 평가 | 등재후보 1차 PASS (등재후보1차) | |
2004-01-01 | 평가 | 등재후보학술지 선정 (신규평가) |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.99 | 0.99 | 0.99 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.94 | 0.93 | 1.087 | 0.26 |
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