海洋渔业2026，Vol.48Issue(3)：301-313,13.
基于轨迹智能监测的拖网渔船碳排放时空分析研究
Spatio-temporal analysis of carbon emissions from trawler based on intelligent trajectory monitoring
摘要
Abstract
Amid the global pursuit of carbon neutrality and the green transformation of marine fisheries,carbon dioxide(CO2)emissions from fishing vessel fuel combustion constitute a core component of fishery carbon inventories.Quantitative assessment of vessel-related CO2 emissions is essential to inform low-carbon development strategies and targeted emission mitigation policies for the fishery industry.As trawlers operate with high hydrodynamic resistance and sustained high main-engine loads,they dominate carbon emissions from inshore fishing fleets.To elucidate the spatio-temporal patterns of carbon emissions from Chinese trawlers,this study develops an improved carbon emission accounting model that incorporates main-engine power,cruising speed,fishing gear resistance,and engine load.Based on dynamic vessel trajectory data and official fishery management records,a nationwide carbon emission inventory for China's inshore trawlers was established for the period 2023-2025.Temporal dynamics and spatial agglomeration characteristics of trawler emissions were systematically analyzed.The results reveal that total carbon emissions from Chinese trawler operations experienced an initial sharp decline followed by a mild rebound during the study period.Spatially,emissions exhibited a distinct nearshore-concentrated and offshore-sparse distribution,with higher emission levels in the Yellow Sea and East China Sea and relatively lower emissions in the Bohai Sea and South China Sea.Obvious seasonal variations were observed in annual emission profiles.Emissions remained at low levels during the summer fishing moratorium,whereas pronounced emission peaks occurred in open fishing seasons,with the peak emission period gradually shifting from spring to autumn.Persistent high-emission hotspots were identified in the central Yellow Sea,Yangtze River Estuary,and Zhoushan Fishing Ground.The spatial extent of emissions displayed periodic expansion and contraction cycles consistent with seasonal fishing rhythms.This study clarifies the key driving mechanisms behind the spatiotemporal evolution of inshore trawler carbon emissions in China.The findings provide robust scientific evidence and theoretical implications for formulating differentiated carbon reduction policies,optimizing fishing operation management,and conserving marine ecosystems and blue carbon resources in coastal fishery systems.关键词
二氧化碳排放/拖网渔船/渔船轨迹/温室气体/气候变暖Key words
carbon cioxide emissions/trawling vessels/vessel trajectories/greenhouse gases/climate warming分类
农业科技引用本文复制引用
鲁峰,徐硕,李丹..基于轨迹智能监测的拖网渔船碳排放时空分析研究[J].海洋渔业,2026,48(3):301-313,13.基金项目
国家重点研发计划课题渔船渔港数智联动与协同管控关键技术研究(2024YFD2400801) （2024YFD2400801）
中国水产科学研究院中央级公益性科研院所基本科研业务费专项(2026HY-ZC004) （2026HY-ZC004）
