近45年广东沿海赤潮时空演变特征分析

Spatio-temporal Evolution Characteristics of Red Tide in Coastal Guangdong over the Past 45 Years

  • 摘要: 赤潮灾害的频繁发生给沿海国家带来了严重的生态、资源与环境问题, 并造成了巨大的经济损失。随着海上"蓝色粮仓"建设的推进, 减少赤潮灾害、守护海洋生态环境的需求显得尤为迫切。基于此, 该研究整理了1980-2024年广东沿海发生的赤潮记录, 并结合地理信息系统(GIS)分析其时空分布特征。研究表明, 广东沿海赤潮发生呈现一定的规律: (1)兼具全年性与季节性, 春季高发。年累计发生次数呈波动上升趋势, 年累计发生面积差异显著, 且不同年代呈现阶段性变化特征, 20世纪80年代低发, 90年代起高发, 21世纪前10年达峰值。(2)赤潮发生频繁的海域包括珠江口、大鹏湾、大亚湾以及粤西的湛江沿海海域和粤东的潮汕沿海海域。(3)赤潮优势种中发生次数前4位的藻种分别是夜光藻(Noctiluca scintillans)、球形棕囊藻(Phaeocystis globosa)、红色赤潮藻(Akashiwo sanguinea)、中肋骨条藻(Skeletonema costatum)。研究通过分析更大时间跨度及最新的数据, 揭示了近45 a广东沿海赤潮时空分布演变规律, 为赤潮预报业务工作提供科学支撑, 进而为政府部门防灾减灾提供参考依据。

     

    Abstract: The frequent occurrence of red tide disasters has caused severe ecological, resource and environmental challenges for coastal nations, resulting in substantial economic losses. With the advancement of marine "Blue Granary" initiatives, mitigating red tide hazards and safeguarding marine ecosystems have become increasingly urgent. This study compiles red tide records from 1980 to 2024 coastal Guangdong, analyzes their spatio-temporal distribution using Geographic Information Systems (GIS). Key findings followed certain patterns: Red tides in coastal Guangdong exhibit both perennial and seasonal characteristics, with peak occurrences in spring. The annual frequency shows a fluctuating upward trend, while the cumulative annual affected area varies significantly. Distinct phased variations are observed across decades: low frequency in the 1980s, increased occurrence from the 1990s, and peak levels during the first decade of the 21st century. High-frequency areas include the Pearl River Estuary, Mirs Bay, Daya Bay, the coastal Zhanjiang in western Guangdong and the coastal Chaoshan in eastern Guangdong.The top four red tide species by occurrence frequency are Noctiluca scintillans, Phaeocystis globosa, Akashiwo sanguinea and Skeletonema costatum. By analyzing data spanning a broader time frame and incorporating the latest information, this study reveals the distribution patterns of red tide in coastal Guangdong. It provides scientific support for the operational work of red tide forecasting and, consequently, offers reference for government departments in disaster prevention and mitigation.

     

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