Journal of Tropical Oceanography >
Application of Real-time monitoring buoy in monitoring red tide
Received date: 2018-03-13
Request revised date: 2018-04-10
Online published: 2018-10-13
Supported by
Public Welfare Project Industry Special Scientific Research of the State Oceanic Administration (201305023)
Director Foundation of South China Sea Branch State Oceanic Administration (1538)
Copyright
We analyzed the marine online monitoring buoy data of Qinzhou Bay in May 2016 to identify the trend in the real-time monitoring data during the Akashiwo sanguinea red tide. Results showed that the outbreak and disappearance of red tide were affected by hydrological and meteorological factors. After the cold surge, the weather condition turned to reduced wind, temperature increased rapidly, especially the temperature showed a small difference between day and night. During such change of weather, attention should have paid to online monitoring buoy. The contents of pH, DO and chlorophyll were higher than their normal ranges, and there existed obvious diurnal variation during the outbreak of red tide. The contents of pH, DO and chlorophyll had significant positive correlations. When the trend of real-time monitoring data showed that pH, DO and chlorophyll had strong fluctuations in a clear linkage and the values increased rapidly above their normal ranges, early warning of red tide should be issued and field investigation can be started. Real-time monitoring of pH, DO and chlorophyll as environmental factors can provide a scientific reference for predicting red tide.
Key words: Red tide; Monitoring buoy; Guangxi
CHEN Xuyang , LIU Baoliang . Application of Real-time monitoring buoy in monitoring red tide[J]. Journal of Tropical Oceanography, 2018 , 37(5) : 20 -24 . DOI: 10.11978/2018026
Fig. 1 Location of sampling sites and red tide area图1 浮标站位及赤潮发生区域 |
Fig. 2 Changes of monitoring factors at buoys GX11 and GX13 on 14-21 May 2016图2 GX11、GX13浮标监测要素变化图(2016年5月14—21日) |
Tab. 1 Correlations of monitoring factors at buoy GX11 (n=385)表1 GX11浮标监测要素的相关性(n=385) |
监测 要素 | 气温 | 水温 | 盐度 | pH | 溶解氧 浓度 | 叶绿素 浓度 |
---|---|---|---|---|---|---|
气温 | 1 | |||||
水温 | 0.590** | 1 | ||||
盐度 | -0.304** | -0.490** | 1 | |||
pH | 0.132* | -0.112* | 0.304** | 1 | ||
溶解氧浓度 | 0.181** | 0.048 | 0.058 | 0.938** | 1 | |
叶绿素浓度 | 0.039 | -0.042 | 0.306** | 0.740** | 0.750** | 1 |
注: **为在 0.01 水平上显著相关; *为在0.05 水平上显著相关。 |
Tab. 2 Correlations of monitoring factors at buoy GX13 (n=385)表2 GX13浮标监测要素的相关性(n=385) |
监测 要素 | 气温 | 水温 | 盐度 | pH | 溶解氧 浓度 | 叶绿素浓度 |
---|---|---|---|---|---|---|
气温 | 1 | |||||
水温 | -0.106* | 1 | ||||
盐度 | 0.159** | -0.472** | 1 | |||
pH | -0.073 | -0.599** | 0.403** | 1 | ||
溶解氧浓度 | -0.309** | -0.261** | 0.045 | 0.774** | 1 | |
叶绿素浓度 | -0.163** | -0.467** | 0.240** | 0.221** | 0.299** | 1 |
注: **为在0.01 水平上显著相关; *为在0.05 水平上显著相关。 |
The authors have declared that no competing interests exist.
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