tailieunhanh - Assessing the effectiveness of data interpolation methods for 2D meshes and adjusting them for water flow modeling in Vam Nao area

River water flow modeling often uses measured bottom elevation data for 2D-mesh interpolation. The interpolation quality affects water flow simulation outcome. Thus, methods of q properly are needed. | Assessing the effectiveness of data interpolation methods for 2D meshes and adjusting them for water flow modeling in Vam Nao area AGU International Journal of Sciences – 2019, Vol. 7 (4), 49 – 57 ASSESSING THE EFFECTIVENESS OF DATA INTERPOLATION METHODS FOR 2D MESHES AND ADJUSTING THEM FOR WATER FLOW MODELING IN VAM NAO AREA Chau Ngan Khanh1, Nguyen Tran Nhan Tanh1, Ngo Thuy An1 1 An Giang University, VNU - HCM Information: ABSTRACT Received: 12/12/2018 River water flow modeling often uses measured bottom elevation data for Accepted: 13/08/2019 2D-mesh interpolation. The interpolation quality affects water flow Published: 11/2019 simulation outcome. Thus, methods of adjusting interpolated 2D-meshes Keywords: properly are needed. To support the mesh creation, our study analyzed River flow, interpolated mesh, effects of interpolation methods and adjusts improper mesh nodes. The mesh adjustments, mesh for research methods include: (1) linear interpolation method, (2) adjacent simulation, flow modeling, interpolation method, (3) distance inverse interpolation method, (4) creating QGIS, Blue Kenue, Telemac 2D contour plots to evaluate interpolation results, (5) selecting calculating domains and adjusting mesh nodes. Software used is QGIS (in combination with Google Satellite), Blue Kenue , and Telemac 2D v7p3r1. The research results show that selecting appropriate interpolation methods help to create meshes that are in accordance with the actual situation of the flow topography (compared from Google Satellite), and that adjusting inappropriate mesh nodes contributes to improving the effectiveness of river flow modeling. 1. INTRODUCTION be the depth of water, the amount of rainfall, or Interpolation methods are numerical methods of the color of the points on an image. Spatial constructing new data points within a domain of interpolation methods are applied to determine a given data (Epperson, 2013 và .