Journal article Open Access

Prediction of Tsunami Hazard Levels Based on GIS Analysis in South Bengkulu Regency

Deded Chandra; Dedi Hermon; Indang Dewata; Iswandi Umar; Eri Barlian

Sponsor(s)
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)

This study aimed at a prediction of tsunami hazard levels in South Bengkulu Regency, that is calculated based data on sea-level rise, distance from the coastline, distance from the nearest rivers, and beach slope. Measurement is carried out using Geographic Information System (GIS) analysis with overlay techniques and the methods of scoring/weighting. The results showed in South Bengkulu Regency the tsunami hazard levels of very high class 504.65 Km (44.8%), high class 160.77 Km (13.7%), somewhat high class 131.09 Km (11.2%), low class 64.92 Km (5.6 %) and very low class 250.39 Km (21.2%).

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