TAILIEUCHUNG - On choosing spatial interpolation methods for data with noise and discontinuities

In this paper, data with significant noise and discontinuities is considered. Finding appropriate interpolation methods for these types of data poses several challenges. The main aims of this paper are to present spatial interpolation methods and to select an adequate interpolation method for the particular data. The results of different interpolation methods are implemented and tested in a case study of the Sai Gon river. | On choosing spatial interpolation methods for data with noise and discontinuities AGU International Journal of Sciences – 2019, Vol. 7 (4), 58 – 73 ON CHOOSING SPATIAL INTERPOLATION METHODS FOR DATA WITH NOISE AND DISCONTINUITIES Pham Thi Thu Hoa1, Pham My Hanh1 1 An Giang University, VNU - HCM Information: ABSTRACT Received: 29/10/2018 Spatial interpolation methods are used to predict values of spatial Accepted: 03/1/2019 phenomena in unsampled locations. These methods have been applied in Published: 11/2019 many applications related to fluid dynamics, natural resources, Keywords: environmental sciences and image processing. In this paper, data with Spatial interpolation methods, significant noise and discontinuities is considered. Finding appropriate linear interpolation, Inverse interpolation methods for these types of data poses several challenges. The distance weighted main aims of this paper are to present spatial interpolation methods and to interpolation, Spline interpolation, Kriging select an adequate interpolation method for the particular data. The results interpolation, data with noise of different interpolation methods are implemented and tested in a case and discontinuities study of the Sai Gon river. The main motivation is to apply the result of the paper to the sampled spatial data at Vam Nao region, which contains substantive noise and discontinuities. 1. INTRODUCTION methods, and implemented tools. There are While modeling flows, we need to consider the many previous studies applying different evolution of hydrological phenomena at meshing methods to make inputs for hydraulic different points according to space simulation. For example, (Tran Ngoc Anh, (coordinates). On that platform, relevant 2011) created a flood inundation mapping for parameters will be considered according to downstream region to study the flow systems of spatial variation. From there, the equations Thach Han and Ben Hai .

• Sinh học
• Choosing spatial interpolation methods for data
• Noise and discontinuities
• The Sai Gon river
• Data poses several challenges
• Data with noise and discontinuities