伶仃洋夏季叶绿素a时间变化特征及分析

doi:10.11978/2021043

热带海洋学报 ›› 2022, Vol. 41 ›› Issue (2): 16-25.doi: 10.11978/2021043CSTR: 32234.14.2021043

伶仃洋夏季叶绿素a时间变化特征及分析

曾滇婷¹(), 李君益^1,^2,⁵(), 谢玲玲^1,², 叶小敏^3,⁵, 周达⁴

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 524088
2. 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 524088
3. 国家卫星海洋应用中心, 北京 100081
4. 国家海洋技术中心, 天津 300112
5. 自然资源部空间海洋遥感与应用重点实验室, 北京 100081

收稿日期:2021-04-08 修回日期:2021-05-17 出版日期:2022-03-10 发布日期:2021-05-19
通讯作者: 李君益
基金资助:
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)

Analysis of temporal characteristics of chlorophyll a in Lingding Bay during summer

ZENG Dianting¹(), LI Junyi^1,^2,⁵(), XIE Lingling^1,², YE Xiaomin^3,⁵, ZHOU Da⁴

1. Laboratory of Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
2. Key Laboratory of Continents - Deep Sea Climate, Sources and Environments, Zhanjiang 524088, China
3. National Satellite Ocean Application Service, Beijing 100081, China
4. National Ocean Technology Center, Tianjin 300112, China
5. Key Laboratory of Space Ocean Remote Sensing and Application, MNR, Beijing 100081, China

Received:2021-04-08 Revised:2021-05-17 Online:2022-03-10 Published:2021-05-19
Contact: LI Junyi
Supported by:
National Natural Science Foundation of China(41776034);National Natural Science Foundation of China(41976200);National Natural Science Foundation of China(41706025);Guangdong Provincial College Innovation Team Project(2019KCXTF021);First-class Discipline Plan of Guangdong Province(231419012);First-class Discipline Plan of Guangdong Province(231919030);Open Fund of the Key Laboratory of Ocean Circulation and Waves, Chinese Academy of Sciences(KLOCW1904)

摘要/Abstract

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。

关键词: 珠江河口, 伶仃洋, 叶绿素a质量浓度, 潮周期, 降雨量

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.

Key words: Pearl River Estuary, Lingding Bay, chlorophyll a, tidal cycle, rainfall

中图分类号:

P735.12

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.

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.

图/表 9

图1

图2

图3

图4

图5

图6

图7

图8

图9

参考文献 22

[1]	曹振锐, 黄邦钦, 刘媛, 等, 2005. 厦门海域分粒级叶绿素a含量的分布特征[J]. 台湾海峡, 24(4): 493-501.
	CAO ZHENRUI, HUANG BANGQIN, LIU YUAN, et al, 2005. Distribution Characteristics of size-fractionated chlorophyll a in Xiamen Waters[J]. Journal of Oceanography in Taiwan Strait, 24(4): 493-501. (in Chinese with English abstract)
[2]	车志伟, 李刚, 王德鸿, 等, 2007. 一个潮汐周期内三亚河口定点的水体环境变化[J]. 广西科学, 14(4): 419-422.
	CHE ZHIWEI, LI GANG, WANG DEHONG, et al, 2007. Pointing aquatic environmental variability of Sanya River Estuary within a tide cycle[J]. Guangxi Sciences, 14(4): 419-422. (in Chinese with English abstract)
[3]	车志伟, 史云峰, 曲江勇, 等, 2014. 三亚河口叶绿素a含量及其与环境因子的关系[J]. 琼州学院学报, 21(2): 88-92.
	CHE ZHIWEI, SHI YUNFENG, QU JIANGYONG, et al, 2014. The content of chlorophyll-a and its relationship with the environmental factors in the Sanya Estuary[J]. Journal of Qiongzhou University, 21(2): 88-92. (in Chinese with English abstract)
[4]	车志伟, 史云峰, 2015. 三亚河口海域叶绿素a与海洋环境因子的关系研究[J]. 环境污染与防治, 37(4): 53-57, 61.
	CHE ZHIWEI, SHI YUNFENG, 2015. Correlation analysis between chlorophyll-a concentration and marine environmental factors in Sanya River Estuary[J]. Environmental Pollution & Control, 37(4): 53-57, 61. (in Chinese with English abstract)
[5]	陈冰, 2009. 珠江口伶仃洋水文特征和综合治理[C]// 中国土木工程学会港口工程分会技术交流文集. 北京: 人民交通出版社: 46-52. (in Chinese)
[6]	丁芮, 2015. 珠江口及邻近海域环流潮汐高分辨率数值模拟研究[D]. 青岛: 中国海洋大学: 23-24.
	DING RUI, 2015. Three-dimensional high-resolution numerical study of the tide and circulation in the Pearl River Estuary and its adjacent waters[D]. Qingdao: Ocean University of China: 23-24. (in Chinese with English abstract)
[7]	黄云峰, 江涛, 冯佳和, 等, 2012. 珠江口广州海域叶绿素a分布特征及环境调控因素[J]. 海洋环境科学, 31(3): 379-384, 404.
	HUANG YUNFENG, JIANG TAO, FENG JIAHE, et al, 2012. Distribution and environmental regulation of chlorophyll-a in Guangzhou sea area, Pearl River Estuary[J]. Marine Environmental Science, 31(3): 379-384, 404. (in Chinese with English abstract)
[8]	柯志新, 黄良民, 谭烨辉, 等, 2013. 2008年夏末南海北部叶绿素a的空间分布特征及其影响因素[J]. 热带海洋学报, 32(4): 51-57.
	KE ZHIXIN, HUANG LIANGMIN, TAN YEHUI, et al, 2013. Spatial distribution of chlorophyll a and its relationships with environmental factors in northern South China Sea in late summer 2008[J]. Journal of Tropical Oceanography, 32(4): 51-57. (in Chinese with English abstract)
[9]	李孟国, 韩志远, 李文丹, 等, 2019. 伶仃洋滩槽演变与水沙环境研究进展[J]. 海洋湖沼通报, (5): 20-33.
	LI MENGGUO, HAN ZHIYUAN, LI WENDAN, et al, 2019. A review on the seabed evolution and hydrodynamic sediment environment in Lingdingyang Bay of the Pearl River Estuary[J]. Transactions of Oceanology and Limnology, (5): 20-33. (in Chinese with English abstract)
[10]	李荣欣, 王雨, 康建华, 等, 2011. 九龙江河口水体叶绿素a含量和初级生产力的时空变化[J]. 台湾海峡, 30(4): 551-558.
	LI RONGXIN, WANG YU, KANG JIANHUA, et al, 2011. Temporal and spatial variations of chlorophyll a concentration and primary production in Jiulongjiang Estuary waters[J]. Journal of Oceanography in Taiwan Strait, 30(4): 551-558. (in Chinese with English abstract)
[11]	刘华健, 黄良民, 谭烨辉, 等, 2017. 珠江口浮游植物叶绿素a和初级生产力的季节变化及其影响因素[J]. 热带海洋学报, 36(1): 81-91.
	LIU HUAJIAN, HUANG LIANGMIN, TAN YEHUI, et al, 2017. Seasonal variations of chlorophyll a and primary production and their influencing factors in the Pearl River Estuary[J]. Journal of Tropical Oceanography, 36(1): 81-91. (in Chinese with English abstract)
[12]	马方方, 王刚, 毕玉明, 等, 2019. 2018年秦皇岛风暴潮前后岸基站及浮标主要水质参数变化分析[J]. 海洋技术学报, 38(6): 68-74.
	MA FANGFANG, WANG GANG, BI YUMING, et al, 2019. Analysis on the variation of main water quality parameters of estuary stations and buoys during a storm surge in Qinhuangdao in 2018[J]. Journal of Ocean Technology, 38(6): 68-74. (in Chinese with English abstract)
[13]	沙慧敏, 李小恕, 杨文波, 等, 2009. 用MODIS遥感数据反演东海海表温度、叶绿素a浓度年际变化的研究[J]. 大连水产学院学报, 24(2): 151-156.
	SHA HUIMIN, LI XIAOSHU, YANG WENBO, et al, 2009. Annual variation in sea surface temperature and chlorophyll-a concentration retrieved by MODIS in East China Sea[J]. Journal of Dalian Fisheries University, 24(2): 151-156. (in Chinese with English abstract)
[14]	沈新强, 蒋玫, 袁骐, 1999. 长江河口区叶绿素a分布的研究[J]. 中国水产科学, 6(5): 1-5.
	SHEN XINQIANG, JIANG MEI, YUAN QI, 1999. Study on distribution of chlorophyll a in the Changjiang Estuary[J]. Journal of Fishery Sciences of China, 6(5): 1-5. (in Chinese with English abstract)
[15]	孙越峰, 秦艳杰, 李洪波, 等, 2020. 辽河口海域叶绿素a的时空分布特征及其影响因素[J]. 环境保护科学, 46(2): 44-48.
	SUN YUEFENG, QIN YANJIE, LI HONGBO, et al, 2020. Spatial and temporal distribution characteristics and influencing factors of chlorophyll a in the Liaohe Estuary[J]. Environmental Protection Science, 46(2): 44-48. (in Chinese with English abstract)
[16]	王彪, 朱建荣, 2012. 基于FVCOM模型的珠江河口及其邻近海域的潮汐模拟[J]. 热带海洋学报, 31(4): 17-27
	[ WANG BIAO, ZHU JIANRONG, 2012. Numerical simulation of tides in the Pearl River Estuary and its adjacent sea based on FVCOM[J]. Journal of Tropical Oceanography, 31(4): 17-27(in Chinese with English abstract).
[17]	朱建荣, 2004. 长江口外海区叶绿素a浓度分布及其动力成因分析[J]. 中国科学 (D辑: 地球科学), 34(8): 757-762.
	ZHU JIANRONG, 2004. The concentration distribution of chlorophyll-a of sea on Changjiang port and its causation analysis[J]. Science in China Series D: Earth Sciences, 34(8): 757-762. (in Chinese with English abstract)
[18]	CORREIA C, TORRES A F, ROSA A, et al, 2020. Export of dissolved and suspended matter from the main estuaries in South Portugal during winter conditions[J]. Marine Chemistry, 224: 103827. doi: 10.1016/j.marchem.2020.103827
[19]	GRINSTED A, MOORE J C, JEVREJEVA S, 2004. Application of the cross wavelet transform and wavelet coherence to geophysical time series[J]. Nonlinear Processes in Geophysics, 11(5-6): 561-566. doi: 10.5194/npg-11-561-2004
[20]	SOUTHWELL M W, KIEBER R J, MEAD R N, et al, 2010. Effects of sunlight on the production of dissolved organic and inorganic nutrients from resuspended sediments[J]. Biogeochemistry, 98(1-3): 115-126. doi: 10.1007/s10533-009-9380-2
[21]	TORRENCE C, COMPO G P, 1998. A practical guide to wavelet analysis[J]. Bulletin of the American Meteorological Society, 79(1): 61-78. doi: 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
[22]	WU ZHAOHUA, HUANG N E, 2009. Ensemble empirical mode decomposition: a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis, 1(1): 1-41. doi: 10.1142/S1793536909000047

伶仃洋夏季叶绿素a时间变化特征及分析

Analysis of temporal characteristics of chlorophyll a in Lingding Bay during summer

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 22

相关文章 11

Metrics

本文评价

推荐阅读 0

[1]	陈琼, 唐世林, 吴颉. 基于GF-4卫星反演的珠江口水体表层悬浮泥沙时空变化特征*[J]. 热带海洋学报, 2022, 41(2): 65-76.
[2]	蓝璇, 利锋, 张超, 董汉英, 杨清书, 余明辉, 文汝兵, 杨玉洁. 基于SOM模型的珠江河口河网铊生态风险评估[J]. 热带海洋学报, 2021, 40(3): 132-142.
[3]	童朝锋, 司家林, 张蔚, 高祥宇. 伶仃洋洪季潮波传播变形及不对称性规律分析[J]. 热带海洋学报, 2020, 39(1): 36-52.
[4]	詹伟康,吴颉,韦惺,唐世林,詹海刚. 基于遥感反演的珠江河口表层悬沙浓度分位数趋势分析 ^*[J]. 热带海洋学报, 2019, 38(3): 32-42.
[5]	廖秀丽, 戴明, 巩秀玉, 刘华雪, 黄洪辉. 南海南部次表层叶绿素a质量浓度最大值及其影响因子^*[J]. 热带海洋学报, 2018, 37(1): 45-56.
[6]	裴木凤, 李适宇, 胡嘉镗, 胡希声. 丰、枯水期珠江河口水体交换的数值模拟[J]. 热带海洋学报, 2013, 32(6): 28-35.
[7]	王彪, 朱建荣. 基于FVCOM模型的珠江河口及其邻近海域的潮汐模拟*[J]. 热带海洋学报, 2012, 31(4): 17-27.
[8]	肖志建,李团结,廖世智 . 伶仃洋表层沉积物特征及其泥沙运移趋势[J]. 热带海洋学报, 2011, 30(4): 58-65.
[9]	刘欢 ,吴超羽 ,包芸 . 珠江河口的能量传播和能量耗散[J]. 热带海洋学报, 2011, 30(3): 16-23.
[10]	陈相铨,朱良生,王青,黎满球,邱章. 珠江伶仃洋余流垂向分布的季节变化及其与径流的关系研究[J]. 热带海洋学报, 2010, 29(5): 24-28.
[11]	李开枝,黄良民,张建林,尹健强,罗琳. 珠江河口咸潮期间浮游植物的群落特征[J]. 热带海洋学报, 2010, 29(1): 62-68.