Analysis of extreme weather hazards in Aceh Besar Regency, Indonesia, using a geospatial approach
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Ukryj
1
Graduate School of Mathematics and Applied Science, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
2
Department of Physics , Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
3
Department of Agrotechnology Faculty of Agriculture, Universitas Syiah Kuala, Darussalam, Banda Aceh 23111, Indonesia
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Autor do korespondencji
Muhammad Syukri
Department of Physics , Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
Ecol. Eng. Environ. Technol. 2025; 5:299-309
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Aceh Besar Regency, Indonesia, as a tropical region, frequently experiences extreme weather events, including strong winds that can have significant impacts. This study aims to analyze extreme weather hazards using a geospatial approach by applying overlay techniques within a Geographic Information System (GIS). The methodology involves mapping slope scores, classifying land cover, assessing rainfall patterns, and generalizing slope classes to generate an extreme weather hazard map. The results indicate that the average area of low-hazard zones per village is 0.198 km², with a standard deviation of 1.057 km², while moderate-hazard zones have an average area of 3.90 km² with a standard deviation of 13.59 km². Notably, the majority of villages (88.2%) do not contain significant low-hazard areas (0 km²), whereas moderate-hazard zones are more widely distributed across villages. Further analysis reveals that villages classified as high-hazard areas are predominantly located at higher elevations or within transitional zones between lowlands and highlands. The spatial distribution of hazard levels correlates with topographic conditions, proximity to rivers, and land-use patterns. These findings provide valuable insights for local governments in developing data-driven disaster mitigation strategies to reduce the risks associated with extreme weather events.