拉普捷夫海溶解有机碳遥感算法：利用光谱斜率校正光漂白效应

IF 5.8 2区环境科学与生态学 Q1 ECOLOGY

Ecological Informatics Pub Date : 2025-04-30 DOI:10.1016/j.ecoinf.2025.103177

Ruiwu Zhang , Ruru Deng , Jun Ying , Cong Lei , Jiayi Li , Yu Guo , Tongtong Zhao

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引用次数: 0

摘要

有色溶解有机质（αCDOM）的吸收系数是定量测定溶解有机碳（DOC）的重要光学参数。然而，光漂白会显著降低αCDOM，导致DOC浓度估算存在不确定性，这一问题尚未得到广泛关注。根据拉普捷夫海的现场测量结果，本研究提出了一种使用光谱斜率（S275-295）校正光漂白的方法。设置S275-295的阈值可以识别受光漂白显著影响的区域。为了评估该方法的适用性，建立了分层估计模型，分析了不同水深校正前后α - cdom与DOC浓度的关系。基于αCDOM和遥感反射率数据，提出了DOC的遥感反演算法。结果表明，αCDOM443有效表征了不同水深的DOC浓度。校正后的光漂白误差减小了约8.04 %，显著提高了αCDOM443与地表水层DOC浓度（0-20 m）的非线性拟合精度。深度大于20 m的结果基本保持不变，尽管考虑温度和盐度可以改善与DOC的线性相关性，但仍存在一些不确定性。因此，修正方法最适用于地表水。遥感结果表明，该方法将沿海地区DOC的高估降低了12% %，提高了拟合精度，使误差分布最小化。本研究强调了光漂白对DOC估算的影响，并引入了一种校正模型，提高了基于遥感的DOC反演精度，从而支持海洋碳循环监测

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Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope

The absorption coefficient of colored dissolved organic matter (

α_{CDOM}

) is a critical optical parameter for quantifying dissolved organic carbon (DOC). However, photobleaching significantly reduces

α_{CDOM}

, leading to uncertainties in DOC concentration estimation, an issue that has not received widespread attention. Drawing on in situ measurements from the Laptev Sea, this study proposes a method to correct for photobleaching using the spectral slope (S_275–295). Setting a threshold for S_275–295 identifies areas that are significantly affected by photobleaching. To assess the applicability of this method, a stratified estimation model analyses the relationship between

α_{CDOM}

and DOC concentration before and after correction at different water depths. A remote sensing inversion algorithm for DOC was also developed based on

α_{CDOM}

and remote sensing reflectance data. Results indicate that

α_{CDOM} (443)

effectively characterises DOC concentration across different water depths. After correction, the photobleaching-induced error decreases by approximately 8.04 %, significantly improving the non-linear fitting accuracy of

α_{CDOM} (443)

with DOC concentration in the surface water layer (0-20 m). Results for depths greater than 20 m remain essentially unchanged, although incorporating temperature and salinity improves the linear correlation with DOC, with some uncertainties persisting. The correction method is therefore most applicable to surface waters. Remote sensing results show that this method reduces DOC overestimation in coastal areas by 12 %, improving fitting accuracy and minimising error distribution. This study highlights the impact of photobleaching on DOC estimation and introduces a correction model that enhances the accuracy of remote sensing-based DOC retrieval, thereby supporting marine carbon cycle monitoring

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.