| 伶仃洋夏季叶绿素a时间变化特征及分析 |
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| 引用本文： | 曾滇婷,李君益,谢玲玲,叶小敏,周达.伶仃洋夏季叶绿素a时间变化特征及分析[J].热带海洋学报,2022,41(2):16-25. |
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| 作者姓名： | 曾滇婷 李君益 谢玲玲 叶小敏 周达 |
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| 作者单位： | 1. 广东海洋大学, 海洋与气象学院, 近海海洋变化与灾害预警实验室, 广东 湛江 5240882. 陆架及深远海气候资源与环境广东省高校重点实验室, 广东 湛江 5240883. 国家卫星海洋应用中心, 北京 1000814. 国家海洋技术中心, 天津 3001125. 自然资源部空间海洋遥感与应用重点实验室, 北京 100081 |
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| 基金项目： | 国家自然科学基金(41776034);国家自然科学基金(41976200);国家自然科学基金(41706025);广东普通高校创新团队项目(2019KCXTF021);广东省冲一流专项资金项目(231419012);广东省冲一流专项资金项目(231919030);中国科学院海洋环流与波动重点实验室开放基金课题(KLOCW1904) |
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| 摘 要： | 文章使用2019年7月5日—20日在珠江河口伶仃洋定点连续观测的海表面叶绿素a质量浓度、海表面气温、气压、风速、风向、海表温度、盐度、流速、流向、遥感降雨量数据和中等分辨率成像光谱仪可见光波段影像, 利用小波分析和集成经验模态分解方法分析了观测期间内伶仃洋海表面叶绿素a的时间变化特征及其影响因子。分析结果表明, 观测期间海水表层叶绿素a质量浓度的变化范围为0.44~1.75µg·L-1, 平均值为0.80µg·L-1, 其变化周期主要为6h、12h和24h。其与相对应周期的潮流存在明显的相位关系, 并且在降雨后两者的相位关系发生了转换。7月5日—12日, 叶绿素a与潮流基本呈反相位关系, 涨急时叶绿素a质量浓度低, 落急时叶绿素a质量浓度较高, 浓度相差约为0.3µg·L-1。珠江流域在7月8日—13日发生了一次强降雨过程, 降雨前后海水表层叶绿素a质量浓度在6h、12h和24h周期波段的振幅由0.02~0.09µg·L-1增加到0.15µg·L-1左右。同时, 降雨对珠江河口的叶绿素a质量浓度造成了一个持续80h的增加过程, 浓度增加了0.3µg·L-1。发生降雨后, 7月13日—20日期间潮流滞后于叶绿素a约6h, 水位最高时叶绿素a质量浓度最低, 水位最低时叶绿素a质量浓度最高。由以上结果可以看出, 降雨不仅引起了河口区叶绿素a质量浓度的增加, 还造成了叶绿素a和潮流间相位关系的转换。
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| 关 键 词： | 珠江河口 伶仃洋 叶绿素a质量浓度 潮周期 降雨量 |
| 收稿时间： | 2021-04-08 |
| 修稿时间： | 2021-05-17 |
Analysis of temporal characteristics of chlorophyll a in Lingding Bay during summer |
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| ZENG Dianting,LI Junyi,XIE Lingling,YE Xiaomin,ZHOU Da.Analysis of temporal characteristics of chlorophyll a in Lingding Bay during summer[J].Journal of Tropical Oceanography,2022,41(2):16-25. |
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| Authors: | ZENG Dianting LI Junyi XIE Lingling YE Xiaomin ZHOU Da |
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| Institution: | 1. Laboratory of Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China2. Key Laboratory of Continents - Deep Sea Climate, Sources and Environments, Zhanjiang 524088, China3. National Satellite Ocean Application Service, Beijing 100081, China4. National Ocean Technology Center, Tianjin 300112, China5. Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China |
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| Abstract: | We used the continuous in-situ air pressure, temperature, sea-surface wind, sea-surface temperature, salinity, chlorophyll a, current observation data, satellite rainfall data, and moderate resolution imaging spectroradiometer (MODIS) visible band images to analyze the characteristics of sea-surface chlorophyll a in Lingding Bay of the Pearl River Estuary, during the study period of July 5 - 20, 2019. The methods of wavelet analysis and ensemble empirical mode decomposition (EEMD) are used. The results showed that the concentration of chlorophyll a during the observation period varied from 0.44 to 1.75 µg·L-1, with an average value of 0.80 µg·L-1. The periods of the signals in the time series of chlorophyll a were 6, 12 and 24 h. It is obvious that there was a phase relationship between chlorophyll a and tidal current, which would be changed by the rainfall over the Pearl River basin. In the study period, chlorophyll a was in an inverse phase relationship with the tidal current, which means that the chlorophyll a concentration reached maximum (minimum) with the maximum flow in the ebb (rising) tide. The difference of chlorophyll a concentration in the ebb and rising tides was about 0.3 µg·L-1. When rainfall occurred in the Pearl River Basin from July 8 to 13, chlorophyll a concentration increased from 0.02 ~ 0.09 µg·L-1 to about 0.15 µg·L-1 at the periods of 6, 12 and 24 h. Furthermore, the chlorophyll a concentration in the Pearl River Estuary increased by about 0.3 µg·L-1 for 80 h after the rainfall. After the rainfall, the time series of tidal current lagged behind chlorophyll a for about 6 h from July 13 to 20. The concentration of chlorophyll a reached minimum (maximum) with high (low) tide. The results present that rainfall not only increased the chlorophyll a in the estuary, but also induced the transformation of the phase relationship between chlorophyll a and tidal current. |
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| Keywords: | Pearl River Estuary Lingding Bay chlorophyll a tidal cycle rainfall |
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