The use of GIS analysis for disaster mitigation in Tikala district, Toraja Utara Regency

Tikala Sub-district has second-ranked with the most landslides in Toraja Utara Regency. Every year, Tikala Sub-district is hit by landslide induced rainfall and caused losses for settlements, roads and fatalities. However, in Planning Spatial Regulation of the Toraja Utara Regency 2010-2030, this su...

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Bibliographische Detailangaben
Hauptverfasser: Rasyid, Abdul Rachman, Tirsari, Aspriati Eva, Ihsan, Arifin, Mimi, Mujahid, Laode Muhammad Asfan
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Tikala Sub-district has second-ranked with the most landslides in Toraja Utara Regency. Every year, Tikala Sub-district is hit by landslide induced rainfall and caused losses for settlements, roads and fatalities. However, in Planning Spatial Regulation of the Toraja Utara Regency 2010-2030, this sub-district is not included in landslide-hazard areas, so that area in this sub-district has not been carried for observed disaster mitigation aspects. There is still slope cutting activity for road widening and some buildings on steep slopes. Therefore, an area arrangement in terms of spatial use based on disaster mitigation in this sub-district is needed to reduce the potential for landslides and minimize their impact. The purposes of this study are to determine the direction of the arrangement of the Tikala Sub-district area based on landslide disaster mitigation by examining the level hazard and the pattern of landslide distribution. The data was collected by observation, documentation, and literature study then descriptive, spatial, and nearest neighbour (GIS analysis) were used to analyze. The results were structuring direction based on zone typology and level landslide hazard. The level of landslide hazard in this sub-district is divided into two classes are medium and high hazard classes. In addition, based on the result of the closest distribution index of 0.44, which means that the landslide in Tikala Sub-district has a clustering pattern.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0094758