Abstract:Three typical groundwater level data of nine solid tide observation wells are selected and interpolated with five interpolation methods. The results show when the number of missing values is small, the cubic polynomial interpolation is the best. For groundwater level with large trend change, and the solid tide is suppressed, the linear interpolation effect is the best. For groundwater level with obvious solid tidal effect and gentle change, the ARMA model prediction method is better than other methods. For groundwater level with clear solid tide and short-term fluctuation, linear interpolation and ARMA model prediction method have their own advantages.
HAN Kongyan,CUI Bowen,SUN Xiaoru et al. Comparison of Different Interpolation Methods on Interpolation Results of Typical Groundwater Level with Solid Tide[J]. jgg, 2023, 43(3): 318-321.