Simulation and Experimental Study on the Fluorescence Characteristics of CDOM in Seawater Surface Based on LIF
XIE Bei-bei1, 2, WANG Ying-jie1, GAO Wang1, MA Kai-jie1, KONG De-ming3
1. School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
2. Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao 066004, China
3. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Abstract：Colored dissolved organic matter (CDOM), a key substance in the global carbon cycle and climate change, is important in studying marine environmental monitoring for its fluorescence characteristics. Laser-induced fluorescence (LIF) technology, as an active remote sensing optical detection method, provides an effective tool for studying CDOM. This article aims to investigate the fluorescence characteristics of CDOM through a combination of simulation and experimentation, providing a theoretical basis for detecting CDOM in the surface layer of seawater using LIF.Firstly, the Monte Carlo method is utilized to simulate the fluorescence radiation process of CDOM in the surface layer of seawater. This approach allows for the analysis of fluorescence simulation results of CDOM under various conditions, including different concentrations of CDOM, incident light zenith angles, and fluorescence receiving angles. Subsequently, an LIF system is established through an experimental setup to detect CDOM solutions configured with fulvic acid and humic acid as characteristic extracts. This system's fluorescence spectra are obtained for different CDOM concentrations, system detection parameters, and environmental factors such as temperature, pH value, and salinity.The characteristics of these fluorescence spectra are then analyzed. Finally, the impact of environmental factors on the fluorescence spectra of CDOM is studied by combining single-factor variation analysis with multi-factor response surface analysis. Simulation and experimental results indicate a negative correlation between CDOM fluorescence and the incident zenith angle of excitation light. CDOM fluorescence intensity is relatively high when the emission angle is within the range of 0°～60°, which can provide a reference for the selection of incident and receiving angles of excitation light during the actual detection of CDOM using LIF;As the concentration of CDOM increases, the fluorescence intensity continues to rise. However, after reaching a certain concentration, the fluorescence intensity decreases as the concentration further increases; The effects of environmental factors such as temperature, pH, and salinity on CDOM were studied through single-factor analysis. The results indicate that as the temperature rises, the fluorescence intensity of CDOM gradually decreases. When the marine environment is strongly alkaline, the fluorescence spectrum of CDOM undergoes significant changes. Among the effects of salinity on CDOM, the impact on fulvic acid is greater than that on humic acid. Subsequently, the impact of multiple factors on the fluorescence properties of CDOM under their combined effects is analyzed using the response surface method. By observing the steepness of the response surface of the CDOM fluorescence peak, it can be found that the order of the influence of various factors on the fluorescence intensity of CDOM is pH, temperature, and salinity. These results indicate that the influence of environmental factors must be considered when using LIF to detect CDOM.
谢贝贝，王英杰，高 旺，马凯杰，孔德明. 基于LIF海水表层CDOM荧光特性仿真和实验研究[J]. 光谱学与光谱分析, 2025, 45(04): 1116-1122.
XIE Bei-bei, WANG Ying-jie, GAO Wang, MA Kai-jie, KONG De-ming. Simulation and Experimental Study on the Fluorescence Characteristics of CDOM in Seawater Surface Based on LIF. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(04): 1116-1122.
[1] Kerkar Anvita U, Tripathy Sarat Chandra, Pandi Sudarsana Rao. Global and Planetary Change, 2022, 213: 103818.
[2] BI Wei-hong, LI Yu, SUN Jian-cheng, et al（毕卫红, 李 煜, 孙建成，等). Journal of Yanshan University(燕山大学学报), 2022, 46(1): 1.
[3] Zhu W Z, Wang S H, Zhang H H. Chemosphere, 2023, 332: 138823.
[4] Chen P, Mao Z, Huang H, et al. Proceedings of SPIE, 2016, 9999: 99990Y.
[5] XU Ming, LIU Wei-jing, BAI Yong-gang, et al(许 明, 刘伟京, 白永刚，等). China Environmental Science(中国环境科学), 2018, 38(9): 3494.
[6] Zhao Y, Song K S. Journal of Geophysical Research: Biogeosciences, 2018, 123(8): 2353.
[7] Chen J, Zhu W, Tian Y Q, et al. Journal of Applied Remote Sensing, 2017, 11(3): 036007.
[8] YUAN Li, XIE Bei-bei, CUI Yong-qiang, et al(袁 丽, 谢贝贝, 崔永强，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2022, 42(7): 2018.
[9] Agnieszka Białek, Sarah Douglas, Joel Kuusk, et al. Remote Sensing, 2020, 12(5): 780.
[10] Zhou Q, Zhang Y, Li K, et al. Journal of Environmental Sciences, 2018, 72(10): 185.
[11] Chen P, Pan D, Wang T, et al. Marine Pollution Bulletin, 2017, 119(1): 153.
[12] Cai X Q, Meng J, Yuan C, et al. Journal of Ocean University of China, 2023, 22(4): 886.
[13] ZHANG Xian-qing, LI Cai, ZHOU Wen(张现清, 李 彩, 周 雯，等). Journal of Tropical Oceanography(热带海洋学报), 2023, 42(3): 86.
[14] WANG Ze-hua, ZOU Li, CHEN Hong-tao, et al(王泽华, 邹 立, 陈洪涛，等). Haiyang Xuebao(海洋学报), 2018, 40(10): 180.
[15] Brezinski K, Gorczyca B. Chemosphere, 2019, 217: 122.
[16] Hughes D L, Afsar A, Harwood L M, et al. Chemosphere, 2017, 183: 519.
[17] CHEN Shuo-ran, ZHENG Dao-yuan, LIU Teng, et al(陈硕然, 郑道远, 刘 腾，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(10): 3088.
[18] QIN Ya-qiang, MENG Fan-sheng, ZHANG Ling-song, et al(秦亚强, 孟凡生, 张铃松，等). Environmental Science and Management(环境科学与管理), 2024, 49(1): 72.
[19] Rajkovic K M, Durasevic M, Markicevic M, et al. Journal of Environmental Radioactivity, 2023, 272: 107333.
