| Summary: | The quantitative inversion of the concentrations of water quality parameters could clarify the temporal and spatial distribution characteristic, migration, and conversion of water quality parameters. This study took the Danjiangkou Reservoir as the research object, and established an inversion model based on the reflectance of different band combinations of remote sensing analyses on Sentinel-2 images, combined with the water quality monitoring data of total nitrogen (TN) and ammonia nitrogen (NH<sub>3</sub>-N) of the sampling sites in February 2016. The inversion results of TN and NH<sub>3</sub>-N in 2020 were obtained, the variation of TN and NH<sub>3</sub>-N concentrations in the reservoir area were analyzed, and the factors accounting for the variation were discussed. The results indicated that the fitting accuracy using the established model was high for both TN and NH<sub>3</sub>-N, and R<sup>2</sup> was 0.782 for TN and 0.851 for NH<sub>3</sub>-N, respectively, showing high predication accuracy, which could be suitable for remote sensing inversion of TN and NH<sub>3</sub>-N concentrations in the Danjiangkou Reservoir. The NH<sub>3</sub>-N concentration of the Danjiangkou Reservoir was in line with Class I from 2016 to 2020, while the TN concentration was between Class III and IV. The inter-annual changes indicated that the overall water quality had an upward trend. The main tributary in the northern of the Danjiangkou Reservoir had a heavy load of TN, and after entering the reservoir, the flow velocity decreased, which caused nitrogen to accumulate at the river entrance, leading to a high TN concentration. The large slope of the mountainous area cause soil erosion. The lost soil and water carried a large amount of pesticides and fertilizers, and the ground runoff carried a large amount of nitrogen into water body, which could account for the high NH<sub>3</sub>-N concentration on the east and west sides of the southern part of the Danjiangkou Reservoir.
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