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基于谷歌地球引擎和深度学习的胶州湾赤潮变化综合研究。

Comprehensive study of algal blooms variation in Jiaozhou Bay based on google earth engine and deep learning.

机构信息

School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, 230009, China.

College of Civil Engineering, Hefei University of Technology, Hefei, 230009, China.

出版信息

Sci Rep. 2023 Aug 25;13(1):13930. doi: 10.1038/s41598-023-41138-w.

DOI:10.1038/s41598-023-41138-w
PMID:37626224
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10457358/
Abstract

The Jiaozhou Bay ecosystem, a crucial marine ecosystem in China, has been plagued by frequent harmful algal blooms as due to deteriorating water quality and eutrophication. This study analyzed the temporal and spatial changes of harmful algal blooms in Jiaozhou Bay from 2000 to 2022 using the Floating Algae Index (FAI) calculated from MODIS (2000-2022) and Sentinel-2 (2015-2022) satellite image datasets. The calculation results of the image datasets were compared. The frequency of planktonic algal outbreaks was low and constant until 2017, but has increased annually since then. Algae blooms are most common in the summer and primarily concentrated along the bay's coast, middle, and mouth, with obvious seasonal and spatial distribution characteristics. Several factors influencing algal outbreaks were identified, including sea surface temperature, wind speed, air pressure, dissolved oxygen, nitrogen and phosphorus ratios, chemical oxygen demand, and petroleum pollutants. Algal bloom outbreaks in Jiaozhou Bay are expected to remain high in 2023. The findings provide crucial information for water quality management and future algal outbreak prediction and prevention in Jiaozhou Bay.

摘要

胶州湾生态系统是中国重要的海洋生态系统之一，但由于水质恶化和富营养化等问题，该系统经常发生有害藻类大量繁殖。本研究利用 MODIS（2000-2022 年）和 Sentinel-2（2015-2022 年）卫星图像数据集计算的浮游藻类指数（FAI），分析了 2000 年至 2022 年胶州湾有害藻类大量繁殖的时空变化。比较了图像数据集的计算结果。浮游藻类爆发的频率直到 2017 年都很低且保持稳定，但从那时起每年都在增加。藻类大量繁殖在夏季最为常见，主要集中在海湾的沿海、中部和口部，具有明显的季节性和空间分布特征。确定了几个影响藻类爆发的因素，包括海面温度、风速、气压、溶解氧、氮磷比、化学需氧量和石油污染物。预计 2023 年胶州湾的藻类大量繁殖仍将居高不下。这些发现为胶州湾的水质管理以及未来的藻类爆发预测和预防提供了重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/918883030439/41598_2023_41138_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/c5d34c04a2de/41598_2023_41138_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/b06184df1198/41598_2023_41138_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/3784bcdc2ec6/41598_2023_41138_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/00b09d49ce9c/41598_2023_41138_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/7b4367614174/41598_2023_41138_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/4f0cf6620b83/41598_2023_41138_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/f030052ba107/41598_2023_41138_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/39dc1119eb48/41598_2023_41138_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/9a8eeebd9aec/41598_2023_41138_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/8ab318b98a1f/41598_2023_41138_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eaf/10457358/918883030439/41598_2023_41138_Fig13_HTML.jpg

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