Tien river is a major branch of the Mekong river which is an important river in the daily life of local people. Due to the fluctuation of flows and the impact of salinity intrusion it appears many surface and submerge islet. With steep terrain and narrow stream, Tien river water level often raises high in the flood season and dries up in the dry season. In this study, multiple regression method was used to estimate and forecast 7 days in advance the maximum water level at Tan Chau station on Tien river with the inputs including upstream water level, water discharge and tidal water level. The simulation and validated results show similar phase and amplitude of recorded and forecasted water levels profiles.
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