夏季珠江口海域海水CO2分压的卫星遥感反演

doi:10.3969/j.issn.1001-909X.2018.02.001

海洋学研究 ›› 2018, Vol. 36 ›› Issue (2): 1-11.DOI: 10.3969/j.issn.1001-909X.2018.02.001

• 研究论文 • 下一篇

夏季珠江口海域海水CO₂分压的卫星遥感反演

吕航宇¹, 白雁^*2,3, 李骞^4,5, 江洪¹

1.国际地球系统科学研究所南京大学,江苏南京 210000;
2.卫星海洋环境动力学国家重点实验室,浙江杭州 310012;
3.国家海洋局第二海洋研究所,浙江杭州 310012;
4.近海海洋环境科学国家重点实验室,福建厦门 361000;
5.厦门大学,福建厦门 361000

收稿日期:2018-02-12 修回日期:2018-05-02 出版日期:2018-06-15 发布日期:2022-11-21
通讯作者: *白雁(1979-),女,研究员,主要从事海洋水色遥感方面的研究。E-mail:baiyan@sio.org.cn
作者简介:吕航宇(1994-),女,四川广安市人,主要从事海洋遥感方面的研究。E-mail:1105250436@qq.com
基金资助:
国家重点研发计划项目资助(2017YFA0603003);国家自然科学基金项目资助(41676170,41676172,41476115)

Satellite remote sensing retrieval of aquatic pCO₂ in summer in the Pearl River Estuary

LÜ Hang-yu¹, BAI Yan^*2,3, LI Qian^4,5, JIANG Hong¹

1. International Institute for Earth System Science, Nanjing University, Nanjing 210000, China;
2. State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou 310012, China;
3. Second Institute of Oceanography, SOA, Hangzhou 310012 , China;
4. State Key Laboratory of Marine Environmental Science, Xiamen 361000, China;
5. Xiamen University, Xiamen 361000, China

Received:2018-02-12 Revised:2018-05-02 Online:2018-06-15 Published:2022-11-21

摘要/Abstract

摘要： 基于控制因子分析的方法,本研究建立了夏季珠江口海域海水CO₂分压(pCO₂)的遥感反演模型。基于珠江水与黑潮水的两端元混合,建立了水平混合和热力学作用的量化模型,并生成了查找表。同时,建立了基于黄色物质(含碎屑)吸收系数的盐度遥感算法,实现珠江口海域表层盐度的遥感反演。利用走航pCO₂和匹配的遥感叶绿素质量浓度产品,建立了生物作用的量化模型。通过集成水平混合和生物作用,最终实现夏季珠江口海域pCO₂的遥感反演。与走航pCO₂比较表明,仅考虑水平混合和热力学作用的遥感结果会显著高估,考虑生物作用后,遥感结果无论在量值和空间变化趋势上均与实测结果相符。此外,遥感反演结果表明,夏季珠江口近岸水域为CO₂的汇区,而离岸的陆架水域则为CO₂的弱源。

关键词: 珠江口, 海水CO₂分压, 遥感反演

Abstract: Based on the method of the controlling factors analyses, a satellite remote sensing algorithm was developed to retrieve the aquatic pCO₂ in the Pearl River Estuary in summer time. The end members of the Pearl River water and Kuroshio water were applied to quantify the pCO₂ variations controlled by the water mass mixing and thermal dynamic effects, and a look-up table was generated to fulfill the calculation. Moreover, relationship between the a_CDM(443 nm) and surface layer water salinity was established to retrieve the salinity from ocean color satellite data. In addition, based on the underway measured pCO₂ and matchup satellite Chl-a data, the model for the biological effect on the pCO₂ was developed. Finally, the mixing and biological effects on the pCO₂ were combined to retrieve the pCO₂ from the satellite. Based on the established model, the comparisons between the retrieved pCO₂ and underway measured pCO₂ were carried out. The results show that if only considering the mixing and thermal dynamic effects it would overestimate the pCO₂, while if considering the biological effect additionally it would much improve the results not only on the magnitudes, but also the variations. The satellite-retrieved pCO₂ also reveals that in summer time, the coastal region in the Pearl River Estuary is a sink of the atmosphere CO₂, while the outer shelf is a weak source of CO₂.

Key words: Pearl River Estuary, aquatic pCO₂, remote sensing retrieval

中图分类号:

TP79
P732

吕航宇, 白雁, 李骞, 江洪. 夏季珠江口海域海水CO₂分压的卫星遥感反演[J]. 海洋学研究, 2018, 36(2): 1-11.

LÜ Hang-yu, BAI Yan, LI Qian, JIANG Hong. Satellite remote sensing retrieval of aquatic pCO₂ in summer in the Pearl River Estuary[J]. Journal of Marine Sciences, 2018, 36(2): 1-11.

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夏季珠江口海域海水CO₂分压的卫星遥感反演

Satellite remote sensing retrieval of aquatic pCO₂ in summer in the Pearl River Estuary

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