From the perspective of data assimilation, we analyze some useful technologies including Kalman filter, meta-heuristics algorithm, Bayesian inference, non parametric regression, and traditional optimization method，and summarize their applications to the environmental monitoring data assimilation problem. The paper shows that different methods can be applied to solve the environmental monitoring data assimilation problems, and that the meta-heuristics algorithm combined with the traditional optimization method has a hopeful future in this field.
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