Landslide Susceptibility Mapping in Quezon, Nueva Vizcaya Using GIS: An Enhancement

Sarilyn R. Lopez; Raziel A. Lawayan; Lanie Lyn T. Padi

Sarilyn R. Lopez
Raziel A. Lawayan
Lanie Lyn T. Padi

Keywords: landslide, enhancement, factors, enhanced landslide susceptibility map, AHP, GIS, LSM

Abstract

Creating a landslide susceptibility map is imperative for effectively managing the landslide hazard, reducing property damage and loss of life. Like many other mountainous places, the municipality of Quezon has also experienced landslides, resulting in fatalities, injuries, and property destruction. Hence, this study was conducted to generate an enhanced landslide susceptibility map using a GIS-based spatial multicriteria approach. Seven causative factors, including slope, rainfall, soil type, land cover, elevation, distance from the road, and distance from the river, were selected for the present assessment. An enhanced landslide susceptibility map was generated by integrating AHP and GIS techniques and was categorized into four susceptibility classes: very low, low, moderate, and high. The result presented in the study illustrates that there was a disparity between the two maps. The enhanced map shows a more detailed representation of truly vulnerable areas. Specifically, 3589.64 hectares are identified as very low susceptible, 5690.36 hectares are low susceptible, while 5993.09 hectares and 5792.80 hectares are categorized as moderately and highly susceptible to landslides. The results presented in the study indicate that Barangay Maasin, Runruno, and Calaocan, and some parts of Maddiangat, Baresbes, Buliwao, and Darubba, are identified as at high-risk areas. On the other hand, Barangay Dagupan and Bonifacio are at moderate risk, while Barangay Nalubbunan, Caliat, and Aurora are at low risk. Furthermore, the validation conducted by geotagging and field survey yields positive results, indicating that the validated points aligned on the enhanced LSM. The enhanced LSM serves as a valuable tool for disaster preparedness and enables local agencies to implement targeted measures to mitigate landslide risks, especially in high-risk places.

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