Application of Remote Sensing Data with HEC-RAS 2D Model to Simulate Floodplain in Mun River Basin

Authors

  • Weeraphat Duangkhwan Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi
  • Chaiwat Ekkawatpanit Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi
  • Duangrudee Kositgittiwong Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi

DOI:

https://doi.org/10.14456/rmutlengj.2023.5

Keywords:

HEC-RAS 2D model, Inundation area, LANDSAT-8 satellite imagery, Land use classification, Mun River

Abstract

This paper presents an application of remote sensing data using LANDSAT-8 satellite images for land use identification to estimate Manning's roughness coefficient. Then, the land use from satellite images with a two-dimensional HEC-RAS mathematical model is presented. The accuracy of the land use classification was tested, and four categories of land use were categorized using the minimum distance which is a supervised classification technique. Then, the Manning’s roughness coefficient determined from the land-use data was used for two-dimensional simulation. To calibrate and validate this study, data from 2011 and 2014 were used. The best result has an NSE of 0.95-0.97 and an R2 of 0.96-0.99, indicating that it is highly accurate. This two-dimensional
HEC-RAS model has the benefit of being able to simulate flooded regions in varied land use characteristics while using remote sensing data from LANDSAT-8 satellite images.

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Published

2023-05-15

How to Cite

Duangkhwan, W., Ekkawatpanit, C., & Kositgittiwong, D. (2023). Application of Remote Sensing Data with HEC-RAS 2D Model to Simulate Floodplain in Mun River Basin. RMUTL Engineering Journal, 8(1), 39–48. https://doi.org/10.14456/rmutlengj.2023.5

Issue

Vol. 8 No. 1 (2023): January - June

Section

Research Article

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.