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作 者:刘明慧 蔡文博[1] 吴彬锋 LIU Minghui;CAI Wenbo;WU Binfeng(National Marine Environment Forecasting Center,Beijing 100081,China;National Marine Environmental Forecasting Center,Key Laboratory of Marine Hazard Forecasting Technology,Ministry of Natural Resources,Beijing 100081,China)
机构地区:[1]国家海洋环境预报中心,北京100081 [2]国家海洋环境预报中心自然资源部海洋灾害预报技术重点实验室,北京100081
出 处:《海洋预报》2025年第1期48-55,共8页Marine Forecasts
基 金:全球变化与海气互相作用(二期)专项(GASI-04-YBBZ)。
摘 要:针对海量的分钟级数据,在区域划分上参考中国近海渔区网格划分方法,添加时间要素,在北印度洋区域(48.0°~116.5°E,28.5°N~26.5°S)以统一的时空要素建立网格并作为基础统计单元。以此为基础,统计渔船分布面积和作业时间,并通过几何化处理绘制了时空分布热力图进行分析。结果表明:渔船的分布面积、活动密集程度与时间变量间存在相关性;存在一种划分方式,使得频次分布呈规律性且具备一定的结构特征,该结构特征较稳定,不随时间推移而变化。此外,推测了4个大洋渔场和4条航道的大致地理位置。For massive minute level data,referring to the grid of China's offshore fishing areas in regional division,time element is added to establish a grid in the northern Indian Ocean region(48.0°~116.5°E,28.5°N~26.5°S)as basic statistical unit.Based on the statistical unit,this study analyzes the distribution area,calculates operation time,and geometrically draws spatiotemporal distribution heat maps.Results show that there is a correlation between the distribution area of fishing vessels,the frequency of activity density,and time variables.There is a division method that makes the frequency distribution regular with a relative stable time-invariant structural characteristic.In addition,the approximate geographical locations of four oceanic fishing fields and four waterways are also speculated.
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