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Development of a Digital Elevation Model Integrating Different Datasets for an Area of Mahaweli Basin, Sri Lanka
Accurate floodplain inundation estimation remains challenging in hydrodynamic flood modeling studies. Thus, developing a Digital Elevation Model (DEM) featuring all the vital floodplain features is crucial to produce accurate results. In addition, DEM performs a faster representation of topographic data and generates reproducible data useful for future flood modeling studies. However, developing an accurate DEM depends on the factors such as available topographic maps, associated budget requirements, intended accuracy, and purpose of the flood modeling study. Generally, a DEM is derived from various sources such as Light detection and ranging (LiDAR) and Shuttle Radar Topographic Mission (SRTM) in addition to the traditional geographic survey. However, these models and DEM from other sources have their specific advantages and limitations. At times, the data may be available for a part of the required terrain. Thus, this research develops an accurate DEM incorporating all the models from LiDAR, SRTM, and topographical map from Survey Department and measured cross sections from a geographic survey that possessed different accuracy levels, boundaries, and characteristics. The developed terrain map depicts the Upper Mahaweli basin and later will be used for simulation in a dam breach modeling study. Differences and adjustments required for different terrain models were identified in this study. Furthermore, advanced tools in software such as ArcGIS and HEC-RAS (6.0 version) were used in the research as a novel approach. Hence, this study would be beneficial for flood modelers to move toward high-accuracy optimal meshing in flood modeling research generated by such developed DEM, especially in the Sri Lankan context. Furthermore, this study would contribute to understanding strengths and limitations in spatial datasets in Sri Lanka for future research work.
Development of a Digital Elevation Model Integrating Different Datasets for an Area of Mahaweli Basin, Sri Lanka
Accurate floodplain inundation estimation remains challenging in hydrodynamic flood modeling studies. Thus, developing a Digital Elevation Model (DEM) featuring all the vital floodplain features is crucial to produce accurate results. In addition, DEM performs a faster representation of topographic data and generates reproducible data useful for future flood modeling studies. However, developing an accurate DEM depends on the factors such as available topographic maps, associated budget requirements, intended accuracy, and purpose of the flood modeling study. Generally, a DEM is derived from various sources such as Light detection and ranging (LiDAR) and Shuttle Radar Topographic Mission (SRTM) in addition to the traditional geographic survey. However, these models and DEM from other sources have their specific advantages and limitations. At times, the data may be available for a part of the required terrain. Thus, this research develops an accurate DEM incorporating all the models from LiDAR, SRTM, and topographical map from Survey Department and measured cross sections from a geographic survey that possessed different accuracy levels, boundaries, and characteristics. The developed terrain map depicts the Upper Mahaweli basin and later will be used for simulation in a dam breach modeling study. Differences and adjustments required for different terrain models were identified in this study. Furthermore, advanced tools in software such as ArcGIS and HEC-RAS (6.0 version) were used in the research as a novel approach. Hence, this study would be beneficial for flood modelers to move toward high-accuracy optimal meshing in flood modeling research generated by such developed DEM, especially in the Sri Lankan context. Furthermore, this study would contribute to understanding strengths and limitations in spatial datasets in Sri Lanka for future research work.
Development of a Digital Elevation Model Integrating Different Datasets for an Area of Mahaweli Basin, Sri Lanka
Lecture Notes in Civil Engineering
Dissanayake, Ranjith (editor) / Mendis, Priyan (editor) / Weerasekera, Kolita (editor) / De Silva, Sudhira (editor) / Fernando, Shiromal (editor) / Konthesingha, Chaminda (editor) / Peramuna, P. D. P. O. (author) / Neluwala, N. G. P. B. (author) / Wijesundara, K. K. (author) / Dissanayake, P. B. R. (author)
12th International Conference on Structural Engineering and Construction Management ; Chapter: 30 ; 427-441
2022-09-29
15 pages
Article/Chapter (Book)
Electronic Resource
English
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