[1] Wu Y Q, Jin W, Hua K et al. Spatiotemporal variations of dissolved organic matter and its biodegradability in typical algae-dominated lake bays[J/OL]. Environmental Science, 1-16. https:∥doi.org/10.13227/j.hjkx.202402012

[2] Liang J, Jiang T, Wei S Q et al. Absorption and fluorescence characteristics of dissolved organic matter (DOM) in rainwater and sources analysis in summer and winter season[J]. Environmental Science, 36, 888-897(2015).

[3] Pan D L, Liu Q, Bai Y. Progress in remote sensing of DOC: based on the analysis of conservative behaviors of DOC and CDOM in global large rivers estuaries[J]. Acta Oceanologica Sinica, 34, 1-11(2012).

[4] Liu Y F, Su R G, Zhou Q Q et al. Rapid modeling offshore eutrophication technique using optical parameters of CDOM[J]. Chinese Journal of Lasers, 41, 1215001(2014).

[5] Li S J, Zhang J Q, Guo E L et al. Dynamics and ecological risk assessment of chromophoric dissolved organic matter in the Yinma River watershed: rivers, reservoirs, and urban waters[J]. Environmental Research, 158, 245-254(2017).

[6] Xie Y Q, Yuan D S, Fan C et al. Precipitable water vapor retrieval based on near-infrared channel data from FengYun-3G satellite/medium resolution spectral imager-rainfall mission[J]. Acta Optica Sinica, 44, 1201014(2024).

[7] Yu G, Fu D Y, Zhong Y F et al. Remote sensing retrieval of colored dissolved organic matter in Zhanjiang coastal area[J]. Journal of Guangdong Ocean University, 41, 55-62(2021).

[8] Sun D Y, Li Y M, Wang Q et al. Remote sensing retrieval of CDOM concentration in Lake Taihu with hyper-spectral data and neural network model[J]. Geomatics and Information Science of Wuhan University, 34, 851-855(2009).

[9] Sun L, Jiang J G, Zhu W N. Remote sensing inversion and daily variation of CDOM based on GOCI in the Changjiang Estuary and adjacent waters[J]. Acta Oceanologica Sinica, 39, 133-145(2017).

[10] Xing X G, Zhao D Z, Hervé C et al. Observations on seasonal variations of colored dissolved organic matter (CDOM) subsurface maximum in the Mediterranean Sea[J]. Acta Oceanologica Sinica, 35, 35-42(2013).

[11] Yan H Q, Hong M, Zhang R et al. Overview of ocean surface-subsurface inversion and reconstruction methods[J]. Marine Information, 31, 1-8(2016).

[12] Han M X, Feng Y, Zhao X L et al. A convolutional neural network using surface data to predict subsurface temperatures in the Pacific Ocean[J]. IEEE Access, 7, 172816-172829(2816).

[13] Su H, Zhang T Y, Lin M J et al. Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks[J]. Remote Sensing of Environment, 260, 112465(2021).

[14] Yang X, Su H, Li W E et al. Seasonal-spatial variations in satellite-derived global subsurface temperature anomalies[J]. Journal of Remote Sensing, 23, 997-1010(2019).

[15] Wang J, Zhang J, Wang J. Quality assessment of spaceborne microwave radiometer Aquarius data product based on Argo buoy data[J]. Acta Oceanologica Sinica, 37, 46-53(2015).

[16] Zhang T Y, Su H, Yang X et al. Remote sensing prediction of global subsurface thermohaline and the impact of longitude and latitude based on LightGBM[J]. Journal of Remote Sensing, 24, 1255-1269(2020).

[17] Mannino A, Russ M E, Hooker S B. Algorithm development and validation for satellite-derived distributions of DOC and CDOM in the U.S. Middle Atlantic Bight[J]. Journal of Geophysical Research: Oceans, 113, C07051(2008).

[18] Morel A, Gentili B. A simple band ratio technique to quantify the colored dissolved and detrital organic material from ocean color remotely sensed data[J]. Remote Sensing of Environment, 113, 998-1011(2009).

[19] Siswanto E, Tang J W, Yamaguchi H et al. Empirical ocean-color algorithms to retrieve chlorophyll-a, total suspended matter, and colored dissolved organic matter absorption coefficient in the Yellow and East China Seas[J]. Journal of Oceanography, 67, 627-650(2011).

[20] Mannino A, Novak M G, Hooker S B et al. Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast[J]. Remote Sensing of Environment, 152, 576-602(2014).

[21] Huang C C, Li Y M, Sun D Y et al. Spatial-temporal distribution of CDOM molecular weight and its ultraviolet absorb coefficience characteristics in Taihu Lake[J]. China Environmental Science, 29, 261-268(2009).

[22] Chen J, Wang B J, Sun J H et al. Study on colored dissolved organic matter concentration retrieved from landsat/TM imagery at Taihu Lake[J]. Spectroscopy and Spectral Analysis, 31, 34-38(2011).

[23] Jin Z P, Mao F, Cheng Q et al. Application of gradient boosting regression tree in CDOM inversion of Qiandao Lake[J]. Remote Sensing Information, 37, 110-118(2022).

[24] Li J W, Yu Q, Tian Y Q et al. Spatio-temporal variations of CDOM in shallow inland waters from a semi-analytical inversion of Landsat-8[J]. Remote Sensing of Environment, 218, 189-200(2018).

[25] Tian Y Q, Yu Q, Zhu W N. Estimating of chromophoric dissolved organic matter (CDOM) with in situ and satellite hyperspectral remote sensing technology[C], 2040-2042(2012).

[26] Skoog A, Wedborg M, Fogelqvist E. Photobleaching of fluorescence and the organic carbon concentration in a coastal environment[J]. Marine Chemistry, 55, 333-345(1996).

[27] Nelson N B, Siegel D A, Michaels A F. Seasonal dynamics of colored dissolved material in the Sargasso Sea[J]. Deep Sea Research Part I: Oceanographic Research Papers, 45, 931-957(1998).

[28] Zhu W J, Shen F, Hong G L. Optical characteristics of colored dissolved organic material (CDOM) in Yangtze Estuary[J]. Environmental Science, 31, 2292-2298(2010).