| 夏季珠江口海域海水CO2分压的卫星遥感反演 |
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| 引用本文： | 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. DOI: 10.3969/j.issn.1001-909X.2018.02.001 |
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| 作者姓名： | 吕航宇 白雁 李骞 江洪 |
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| 作者单位： | 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 |
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| 基金项目： | 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) |
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| 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。
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| 关 键 词： | 珠江口 海水CO2分压 遥感反演 |
| 收稿时间： | 2018-02-12 |
Satellite remote sensing retrieval of aquatic pCO2 in summer in the Pearl River Estuary |
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| L,#xDC,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. DOI: 10.3969/j.issn.1001-909X.2018.02.001 |
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| Authors: | LÜ Hang-yu BAI Yan LI Qian JIANG Hong |
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| Affiliation: | 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 |
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| 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 aCDM(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. |
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| Keywords: | Pearl River Estuary aquatic pCO2 remote sensing retrieval |
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