基于水质浮标在线监测的米氏凯伦藻赤潮过程及环境因子变化特征分析

doi:10.11978/2019027

Abstract

Abstract:

Superior to traditional monitoring methods, the marine monitoring buoys are able to obtain long-term and real-time continuous marine environmental data to reflect the dynamic changes in marine environmental conditions. In order to clarify the occurrence and development of the red tide of Karenia mikimotoi, and to carry out integrated monitoring and early warning of red tide disasters, we analyzed the evolution of Karenia mikimotoi bloom and environmental factors based on online monitoring buoy data obtained from the coastal area of Nanji Island of Zhejiang Province in June 2017. K. mikimotoi bloom occurs in the sea water with temperature and salinity ranging from 22.8℃ to 26.0℃ and from 28.8 to 31.8, and when the air temperature is between 20.4℃ and 27.3℃, which are suitable for the cell growth of K. mikimotoi. Higher light intensity can support higher K. mikimotoi cell density. Pearson correlation analysis shows that the cell density of K. mikimotoi is significantly positively correlated with chlorophyll a (chl-a). Dissolved oxygen (DO), dissolved oxygen saturation (DO%), pH, water temperature, and air temperature are all significantly positively correlated with chl-a. Salinity is significantly negatively correlated with chl-a. Wind blowing ocean current may facilitate the accumulation of algae to the shore, which creates suitable conditions for the outbreak of red tides. During the red tide, chl-a, DO% and pH have synergistic changes, which may carry out red tide early-warning signs based on the online monitoring buoy data.

Key words: Karenia mikimotoi, red tide evolution, marine water quality monitoring buoy, meteorological data

CLC Number:

P762.33

Congjiao ZHAO, Xizhen LIU, Shengjing FU, Weimin YAO, Yan ZHOU, Jun MA. Variation characteristics of the evolution of Karenia mikimotoi bloom and environmental factors based on online monitoring buoy data*[J].Journal of Tropical Oceanography, 2020, 39(2): 88-97.

Figures/Tables 6

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时间	浮标监测数据										人工采样监测数据
时间	叶绿素a浓度/(μg·L^-1)	pH	DO%	DO /(mg·L^-l)	水温/℃	盐度/‰	光照/lx	气温/℃	风速 /(m·s^-1)	风向/°	最大细胞密度 /(×10⁶个·L^-1)	面积/km²	采样点纬度	采样点经度
6月2日	24.97	8.20	122.0	9.34	23.64	29.86	40630	23.3	3.3	47	9.10	1.0	27°28′38"N	121°03′32"E
6月6日	12.79	8.34	100.5	7.87	23.17	31.19	111880	23.3	5.5	110	6.30	25.0	27°27′13"N	121°04′19"E
6月9日	5.54	8.17	124.0	9.36	24.19	30.69	179800	24.8	2.8	88	0.33	0.0	27°27′13"N	121°04′19"E
6月12日	12.73	9.15	111.9	8.48	24.51	30.99	70510	23.7	2.5	285	2.20	5.0	27°28′40"N	121°03′12"E
6月13日	13.03	8.17	91.5	7.16	24.04	31.31	49930	23.4	2.9	23	1.70	3.5	27°28′40"N	121°03′12"E
6月15日	9.07	7.90	90.5	7.13	23.85	30.54	58150	20.6	4.1	59	0.46	0.0	27°28′40"N	121°03′12"E

项目	叶绿素a浓度	细胞密度	pH	DO%	DO	水温	盐度	光照	气温	风速	风向
叶绿素a浓度	1.000	0.879*	0.200**	0.633**	0.624**	0.480**	-0.308**	0.054	0.268**	0.055	-0.049
p值	p<0.001(N=451)	p=0.021(N=6)	p<0.001(N=451)					p=0.256(N=449)	p<0.001(N=450)	p=0.241(N=450)	p=0.300(N=450)

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Variation characteristics of the evolution of Karenia mikimotoi bloom and environmental factors based on online monitoring buoy data*

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