基于浮标观测的春季青岛近岸海水pCO2变化及海-气CO2通量研究

doi:10.3969/j.issn.1001-909X.2023.03.002

海洋学研究 ›› 2023, Vol. 41 ›› Issue (3): 14-21.DOI: 10.3969/j.issn.1001-909X.2023.03.002

基于浮标观测的春季青岛近岸海水pCO₂变化及海-气CO₂通量研究

周学杭¹(), 张洪海², 马昕¹^,³, 陈朝晖¹^,³^,^*()

1.中国海洋大学物理海洋教育部重点实验室,山东青岛 266100
2.中国海洋大学海洋化学理论与工程技术教育部重点实验室,山东青岛 266100
3.崂山实验室,山东青岛 266237

收稿日期:2023-01-19 修回日期:2023-03-22 出版日期:2023-09-15 发布日期:2023-10-24
通讯作者: *陈朝晖(1984—),男,教授,主要从事海洋多尺度过程观测与机理的研究,E-mail:chenzhaohui@ouc.edu.cn。
作者简介:周学杭(1998—),男,山东省青岛市人,主要从事物理海洋学方面的研究,E-mail:zhouxuehang@stu.ouc.edu.cn。
基金资助:
国家自然科学基金杰出青年基金项目(42225601);中央高校基本科研业务费专项项目(202172001);山东省“泰山学者”青年专家项目(tsqn201812022)

Variations of pCO₂ and sea-air CO₂ flux in Qingdao coastal seawater in spring based on buoy observations

ZHOU Xuehang¹(), ZHANG Honghai², MA Xin¹^,³, CHEN Zhaohui¹^,³^,^*()

1. Key Laboratory of Physical Oceanography, MOE, Ocean University of China, Qingdao 266100, China
2. Key Laboratory of Marine Chemistry Theory and Technology, MOE, Ocean University of China, Qingdao 266100, China
3. Laoshan Laboratory, Qingdao 266237, China

Received:2023-01-19 Revised:2023-03-22 Online:2023-09-15 Published:2023-10-24

摘要/Abstract

摘要：

利用海-气界面浮标观测得到的高频数据,分析了春季青岛近岸海域海表二氧化碳分压(pCO₂)的变化规律及驱动因素,并对海-气CO₂通量进行了估算。观测期间该海域由大气的碳汇转变为碳源,主要是由海表pCO₂的不断增长所致。对海表pCO₂控制因素进行分析,发现温度升高是pCO₂增长的主要驱动因素,生物过程起到一定的抑制作用。海表pCO₂呈现出日变化特征,温度和生物因素对海表pCO₂日变化的作用均与太阳辐射相关,但两者的作用相反。此外,分析发现浮标的不同采样频率会对海-气CO₂通量估算产生影响,缩短采样间隔能有效降低海-气CO₂通量估算的偏差,提高估算的准确性。

关键词: 二氧化碳分压, 海-气CO₂通量, 浮标观测, 青岛近岸海域

Abstract:

Based on the high frequency data of sea-air interface buoys, the variation pattern and driving factors of sea-air partial pressure of carbon dioxide (pCO₂) were analyzed and the sea-air CO₂ flux in the coastal waters of Qingdao in spring was estimated. During the observation period, the sea area changed from a carbon sink of atmospheric CO₂ to a carbon source, which was mainly caused by the continuous increase of sea surface pCO₂. By analyzing the controlling factors of pCO₂, it was found that temperature was the main driving factor of pCO₂ growth, and biological processes played a certain inhibiting role. The sea surface pCO₂ showed a diurnal variation. The effects of temperature and biological factors on the diurnal variation of pCO₂ were related to solar radiation, but they had opposite effects. In addition, the analysis showed that different sampling frequencies of buoys affected the estimation of sea-air CO₂ flux and shortening the sampling interval could effectively reduce the deviation of CO₂ flux estimation and improve the accuracy of estimation.

Key words: pCO₂, sea-air flux of CO₂, buoy observation, Qingdao coastal waters

中图分类号:

P734.45

周学杭, 张洪海, 马昕, 陈朝晖. 基于浮标观测的春季青岛近岸海水pCO₂变化及海-气CO₂通量研究[J]. 海洋学研究, 2023, 41(3): 14-21.

ZHOU Xuehang, ZHANG Honghai, MA Xin, CHEN Zhaohui. Variations of pCO₂ and sea-air CO₂ flux in Qingdao coastal seawater in spring based on buoy observations[J]. Journal of Marine Sciences, 2023, 41(3): 14-21.

图/表 6

图1 研究区域及浮标位置示意图

Fig.1 Sketch map of study area and buoy location

图2 海表、大气pCO2与交换通量及相关环境参数的时间序列

Fig.2 Time series of sea surface and atmospheric pCO2, exchange fluxes and related environmental parameters

图3 日平均海表pCO2及相关影响因素时间序列

Fig.3 Time series of daily mean sea surface pCO2 and related influencing factors

图4 海表pCO2和潮高时间序列

Fig.4 Time series of sea surface pCO2 and tide height

图5 海表pCO2,SST和短波辐射的日变化信息 (图中阴影部分代表一个标准差范围。)

Fig.5 Diurnal cycle of sea surface pCO2, SST and shortwave radiation (The shaded part represents a range of standard deviations.)

图6 不同采样周期下日平均海-气CO2通量偏差的小提琴图 (黑色长条代表日平均数据的四分位数范围,白点代表中位数,外轮廓线代表日平均数据的核密度曲线。)

Fig.6 Violin-plot of daily mean sea-air CO2 flux deviation for different sampling periods (The black bars represent the interquartile range of the daily mean data, the white dots represent the median, and the outer contours represent the kernel density curve of the daily mean data.)

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基于浮标观测的春季青岛近岸海水pCO₂变化及海-气CO₂通量研究

Variations of pCO₂ and sea-air CO₂ flux in Qingdao coastal seawater in spring based on buoy observations

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