Origin of floating Sargassum in the Yellow and East China Sea

Title
Origin of floating Sargassum in the Yellow and East China Sea
Author(s)
Son, Young Baek; Choi, Jong Kuk
KIOST Author(s)
Son, Young Baek(손영백)Choi, Jong Kuk(최종국)
Alternative Author(s)
손영백; 최종국
Publication Year
2024-03-28
Abstract
The Yellow Sea (YS) and East China Sea (ECS) have the world’s largest supply of floating algae. The golden tides (Sargassum horneri) appear mainly in the YS and ECS, but become entangled as they drift. The floating harmful macroalgae blooms (HMBs) obstructs navigation and is a huge socioeconomic problem in the vicinity of coastal areas. To determine the origin and movement trend of the golden tide in the YS and ECS, the multi-satellite sensor data (e.g. Sentinel-2 and GOCI) was used to detect the floating macroalgae which was determined by the Alternative Floating Algae Index (AFAI, Wang and Hu, 2016) and mapped over the study area using a 15-year data. The Sargassum blooms were generally found on spring in the YS and ECS. The Sargassum blooms was proceeded in the waters near the Yangtze River and Zhejiang Province, China and then floating into the east and north-east ward influenced by the Tsushima warm current or Kuroshio. The Sargassum blooms were build-up in the middle of the ECS and pile-up in the coast of Korea from March to May. Recently, the Sargassum blooms were temporally expanded from to May from 2019 to 2022 and spatially raised in the YS and ECS. From the annual pattern maps of the golden tide blooms, we suggested two origins with tracing the temporal and spatial distribution and development. The first blooms were onset on fall around the Bohai Bay and/or Shandong Peninsula and southward controlled by the local wind and sea surface temperature condition on winter. The second blooms were initiated on winter near the Zhejiang Province, China and east- and northward affected by the local current and wind condition.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/45490
Bibliographic Citation
The 1st International Symposium on GeoAl Data 2024, 2024
Publisher
(사)GeoAI데이터학회
Type
Conference
Language
English
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