Usman, Fadly and Murakami, Keisuke and Wijatmiko, Indradi and Rokman, Mauhibur and Nabila, Meutia Aisyah (2025) Role of Coastal Vegetation Belts in Mitigating Tsunami Waves: Bibliometric Analysis, Numerical, and Spatial Analysis. ASEAN Journal of Science and Engineering, 5 (1). 31 - 44. ISSN 27766098
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Abstract
Tsunami is a catastrophic natural disaster that is difficult to predict and often results in significant loss of life and property damage. This study examines the role of coastal vegetation belts in mitigating tsunami wave impacts through numerical and spatial analyses. This study also used bibliometric analysis to support the discussion. Numerical simulations using CADMAS Surf 2D were conducted for various scenarios to assess the effect of vegetation belts on wave speed and height. Spatial analysis using ArcGIS was employed to map tsunami-affected areas, and grid-cell analysis was used to calculate the volume of water entering inland areas during a tsunami event. The results demonstrate that vegetation belts with specific thicknesses and densities significantly reduce wave speed and height, thereby mitigating tsunami energy as it approaches land. These findings emphasize the critical role of vegetation belts in coastal management strategies. Future research should explore integrating natural barriers with artificial infrastructure, such as embankments, to provide comprehensive protection against tsunami impacts.
| Item Type: | Article |
|---|---|
| Additional Information: | Cited by: 4; All Open Access; Gold Open Access |
| Uncontrolled Keywords: | Grid cell; Numerical simulation; Spatial analysis; Tsunami; Vegetation belts |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > Disasters and engineering T Technology > TH Building construction > Architectural engineering. Structural engineering of buildings |
| Divisions: | Faculty of Engineering > Architecture Engineering & Planning Department |
| Depositing User: | Rita Yulianti Yulianti |
| Date Deposited: | 02 Jun 2026 03:02 |
| Last Modified: | 02 Jun 2026 03:02 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/24661 |
