【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。更多还原

【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-adata,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.更多还原