Combining support vector machine with hydrological model to research the impact of hydrological environment change

Research on the influence of specific hydrological environment change on current velocity and water exchange has a long history in oceanography; however, the majority of previous work has been based on traditional ocean models such as POM and FVCOM. This paper presents a stable joint method that combines a support vector machine with a hydrological model to predict current velocity in different hydrological environments. In turn, an important drag coefficient in the ocean model can also be optimized. Compared with the breeding history records, experimental results show that the outcome predictions of our method faithfully obey.