The sudden water pollution incidents occur frequently, so it has become a trend to do simulated research on sudden water pollution incident utilizing GIS platform, remote sensing technology and water quality model. Aiming at solving the problem that mass, heterogeneous and dynamic remote sensing data could not be disposed rapidly and stored efficiently; the storage system of remote sense tile data used in the sudden water pollution incidents was designed and implemented based on HBase. The system is supported by the digital earth platform and integrated with remote sensing tile pyramid model and MapReduce framework. The linear quad tree coding index of the remote sensing tile data was improved in this system according to the frequent load character of remote sensing tile data caused by event situation with real-time and dynamic observation and stored into HBase together with water pollution data. The access efficiency of the remote sensing tile data was increased through adding cache area. Applying this system to Weihe River sudden water pollution in Shanxi, the results showed that the improved index could extract the remote sensing data of the water pollution area within 22 milliseconds and the introduction of the caching mechanism saved almost 2/3 loading time on the remote sensing data in water pollution area. Therefore, the storage system could be accessed efficiently and it could satisfy the quick emergent simulation demand of the sudden water pollution incidents.