Abstract: This paper takes Panji mining area of Huainan city as the study area to evaluate the water quality based on HJ-1 imaging data. We first had establish relationship between water quality indicators of Yangzhuang water-accumulating area collapsed due to coal mining and the HJ-1/CCD data. And then we created remote sensing monitoring models aiming at Chl、SD、TP、TN and COD_Mn separately. Comprehensive nutrition state index method was adopted to evaluate the water quality of the study area. The results show that the study area is of light-middle eutrophication, which is accorded with the monitoring results of in-situ measurements. This research work demonstrates that the monitoring models that we established for the study area is reliable and could provide important technical support to realize the dynamic monitoring of water quality by remote sensing and early warning in the future.