Key drivers of hypoxia revealed by time-series data in the coastal waters of Muping, China

被引:0
|
作者
Zheng, Xiangyang [1 ,2 ]
Liu, Hui [1 ,2 ]
Xing, Qianguo [1 ,2 ]
Li, Yanfang [1 ,2 ]
Guo, Jie [1 ,2 ]
Tang, Cheng [1 ,2 ]
Zou, Tao [1 ,2 ]
Hou, Chawei [3 ]
机构
[1] Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
[2] Shandong Key Lab Coastal Environm Proc, Yantai 264003, Shandong, Peoples R China
[3] State Ocean Adm SOA, Yantai Marine Environm Monitoring Cent Stn, Yantai 265500, Peoples R China
关键词
Coastal hypoxia; Thermal stratification; Phytoplankton blooms; Time-series data; BOTTOM DISSOLVED-OXYGEN; GULF-OF-MEXICO; CHANGJIANG ESTUARY; ORGANIC-MATTER; RIVER ESTUARY; WIND; SUMMER; SEA; VARIABILITY; CARBON;
D O I
10.1016/j.marenvres.2024.106613
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coastal hypoxia (low dissolved oxygen in seawater) is a cumulative result of many physical and biochemical processes. However, it is often difficult to determine the key drivers of hypoxia due to the lack of frequent observational oceanographic and meteorological data. In this study, high-frequency time-series observational data of dissolved oxygen (DO) and related parameters in the coastal waters of Muping, China, were used to analyze the temporal pattern of hypoxia and its key drivers. Two complete cycles with the formation and destruction of hypoxia were captured over the observational period. Persistent thermal stratification, high winds and phytoplankton blooms are identified as key drivers of hypoxia in this region. Hypoxia largely occurs due to persistent thermal stratification in summer, and hypoxia can be noticeably relieved when strong wind mixing weakens thermal stratification. Furthermore, we found that northerly high winds are more efficient at eroding stratification than southerly winds and thus have a greater ability to relieve hypoxia. This study revealed an episodic hypoxic event driven by a phytoplankton bloom that was probably triggered by terrestrial nutrient loading, confirming the causal relationship between phytoplankton blooms and hypoxia. In addition, we found that the lag time between nutrient loading, phytoplankton blooms and hypoxia can be as short as one week. This study could help better understand the development of hypoxia and forecast phytoplankton and hypoxia, which are beneficial for aquaculture in this region.
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页数:12
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