期刊
SENSORS
卷 8, 期 8, 页码 4878-4893出版社
MDPI AG
DOI: 10.3390/s8084878
关键词
Hurricane; phytoplankton blooms; chlorophyl1-a concentrations; Arabian Sea; remote sensing
资金
- Chinese Academy of Sciences [KZSW2-YW-214]
- South China Sea Institute of Oceanology of CAS [07SL011011]
- Natural Science Foundation of China [40625017]
In this study the authors investigated phytoplankton variations in the Arabian Sea associated with Hurricane Gonu using remote-sensing data of chlorophyl1-a (Ch1-a), sea surface temperature ( SST) and winds. Additional data sets used for the study included the hurricane and Conductivity-Temperature-Depth data. Hurricane Gonu, presenting extremely powerful wind intensity, originated over the central Arabian Sea ( near 67.7 degrees E, 15.1 degrees N) on June 2, 2007; it traveled along a northwestward direction and made landfall in Iran around June 7. Before Hurricane Gonu, Ch1-a data indicated relatively low phytoplankton biomass (0.05-0.2 mg m(-3)), along with generally high SST (>28.5 degrees C) and weak wind (<10 m s(-1)) in the Arabian Sea. Shortly after Gonu's passage, two phytoplankton blooms were observed northeast of Oman (Ch1-a of 3.5 mg m(-3)) and in the eastern central Arabian Sea ( Ch1-a of 0.4 mg m(-3)), with up to 10-fold increase in surface Ch1-a concentrations, respectively. The Ch1-a in the two post-hurricane blooms were 46% and 42% larger than those in June of other years, respectively. The two blooms may be attributed to the storm-induced nutrient uptake, since hurricane can influence intensively both dynamical and biological processes through vertical mixing and Ekman Pumping.
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