基于营养级分类的水库CDOM遥感反演模型研究

水库是我国重要的水源地，东北地区作为我国重要的工农业生产基地，水库水质直接影响居民饮用水安全和工农业产品质量。近年来水库富营养化与污染问题严峻，其中CDOM的浓度和组成直接影响水库水质和水生生态系统，开展水库CDOM的光学特性及其反演研究对于水库水质参数反演及水资源治理具有重要作用。本研究基于东北不同营养状态的水库，结合三维荧光光谱和分子结构等解析对比水库CDOM吸收、来源和组分的差异性，揭示水库营养状态指数与CDOM光学吸收特性和荧光特征参数之间的内在联系，以卫星遥感数据构建基于CDOM等光学参数的水库营养状态分类判别模型；针对不同营养状态，分别构建水库CDOM吸收和荧光官能团定量反演模型，基于卫星遥感数据实现典型水库CDOM时空动态反演并阐明演变机制。本研究建立的高精度和普适性的CDOM遥感反演算法，为深入理解水库CDOM的光学特性、时空演变和水库环境防治、修复与治理提供技术支撑。

Reservoirs are critical drinking water sources in China, the Northeastern region is an important industrial and agricultural base in China, the water quality and safety of reservoirs directly affect the food security, industrial security and industrial products. The eutrophication phenomenon trends to be more serious and affects water quality and aquatic systems in recent years, and the absorption and composition of CDOM directly affect the differences in the properties and structures of the underwater light field, the studies of CDOM optical characteristics and establishing the remote sensing models for monitoring dissolved organic carbon are primary for remote sensing monitoring of water quality parameters and environmental remediation of reservoirs. In this study the different trophic states reservoirs in Northeastern region are collected to analyze the features for absorption and fluorescence of CDOM, with molecular structural techniques, the components and sources of CDOM with various trophic states are compared, and the estimation model for modified Carlson index is established based on the linkages between modified Carlson index and CDOM optical characteristic parameters. The remote retrieval models of CDOM absorption and fluorescent parameters are established respectively in different trophic states classification based on the linkage among CDOM optical characteristics and fluorescent functional group, and the model with high precision are used to analyze the long-term temporal and spatial distribution of CDOM absorption and sources. The models for the remote monitoring CDOM parameters and water quality parameters with high precision and ubiquity will provide the technical support for understanding CDOM optical characteristics, sources and environmental government or remediation of reservoirs.