Landslide Hazard Zonation from a GIS Perspective and Urban Planning Solutions in Central –Division of Fiji Islands
Joeli Varo1, Tingneyuc Sekac2, Sujoy Kumar Jana3
1Joeli Varo, Department of Surveying and Land Studies, Papua New Guinea University of Technology, Lae 411, Morobe Province, Papua New Guinea.
2Tingneyuc Sekac, Department of Surveying and Land Studies, Papua New Guinea University of Technology, Lae 411, Morobe Province, Papua New Guinea.
3Sujoy Kumar Jana, ORCID, Department of Surveying and Land Studies, Papua New Guinea University of Technology, Lae 411, Morobe Province, Papua New Guinea.
Manuscript received on 06 October 2019 | Revised Manuscript received on 20 October 2019 | Manuscript Published on 26 December 2019 | PP: 352-361 | Volume-8 Issue-12S October 2019 | Retrieval Number: L109110812S19/2019©BEIESP | DOI: 10.35940/ijitee.L1091.10812S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As is a characteristic of rainfall-induced surficial landslides, the mass movement occurred where the landform or configuration of the bedrock surface facilitated the concentration of slope water. More than half of the landslides originated in slope depressions or drainage lines, with initial failure taking place on an upper slope, ridge or summit. The present study aims at assessing the rainfall intensity, site-soil-geology and seismicity of the central division of Viti Levu, Fiji Islands using the GIS and remote sensing techniques. Rainfall intensity, Site-soil-geology, geomorphology and SRTM DEM data were the main sources of layers used to carry out such analysis using the Frequency Ratio methodology and ArcGIS Multi-Criteria Analysis (MCA). The final result of Land Slide Potential Zone (LSPZ) indicates the ‘low’, ‘moderate’ and ‘high’ zones. The result presents a readable map for people to simply identify their state of vulnerability within the study area. Thus, this research will assist professionals such as urban planners, engineers and legislators to implement sustainable developments whilst reducing the risks of disasters.
Keywords: AUC Curve; Frequency Ratio; Landslide; Multi-Criteria Analysis; Weighted Sum.
Scope of the Article: Remote Sensing, GIS and GPS