{"title":"Shipping emission inventory preparation with AIS data: A stratified random sampling method","authors":"Shaoli He , Xianhua Wu , Jun Wang , Yumeng Lu","doi":"10.1016/j.trd.2024.104520","DOIUrl":null,"url":null,"abstract":"<div><div>Shipping emission inventory is the basis of regional air pollution assessments and pollution prevention and control policies. The accuracy depends to a large extent on the calculation results of every single ship based on AIS. This paper establishes a regional stratified sampling emission model based on the emission calculation of every single ship to improve the efficiency and precision of regional shipping emission inventory preparation. It performs calculations according to waterway characteristics, ship types and main engine power. The key findings of this paper include (1) the fast algorithm calculates exhaust emissions using complete ship information, helping reduce the uncertainty caused by the absence of single ship parameters during estimation, (2) when the ship sampling ratio is not lower than 1/3, the relative error of emission results is less than 3% and (3) the preparation of shipping emission inventory using the fast algorithm significantly improves the calculation efficiency and accuracy.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"138 ","pages":"Article 104520"},"PeriodicalIF":7.3000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920924004772","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Shipping emission inventory is the basis of regional air pollution assessments and pollution prevention and control policies. The accuracy depends to a large extent on the calculation results of every single ship based on AIS. This paper establishes a regional stratified sampling emission model based on the emission calculation of every single ship to improve the efficiency and precision of regional shipping emission inventory preparation. It performs calculations according to waterway characteristics, ship types and main engine power. The key findings of this paper include (1) the fast algorithm calculates exhaust emissions using complete ship information, helping reduce the uncertainty caused by the absence of single ship parameters during estimation, (2) when the ship sampling ratio is not lower than 1/3, the relative error of emission results is less than 3% and (3) the preparation of shipping emission inventory using the fast algorithm significantly improves the calculation efficiency and accuracy.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.