Daisy Luisa Camello - Academia.edu (original) (raw)
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Papers by Daisy Luisa Camello
Sylvatrop, The Technical Journal of Philippine Ecosystems and Natural Resources, 2015
The study was conducted in the ecologically and economically significant Matutinao Watershed in ... more The study was conducted in the ecologically and economically
significant Matutinao Watershed in Cebu. Ongoing developmental activities in the area necessitate a landslide vulnerability assessment to avoid possible losses of lives and properties. A GIS-assisted approach was developed to a) evaluate the utility of GIS with regard to landslide vulnerability assessment anchored on the climate change framework; b) identify and map out the areas vulnerable to landslide; c) recommend appropriate measures to avoid loss of lives and properties; and d) formulate policy recommendations. Using the Analytical Hierarchy Process (AHP) in determining the relative importance of factors identified and GIS, the landslide vulnerability anchored in a climate change perspective was determined. Exposure to landslide was based on 2020 climate projections. The sensitivity was computed based on the model derived from AHP, expressed as L = 0.8297[0.3160Sl + 0.0973R + 0.0973T + 0.0912Ga + 0.0912Gf + 0.1729Gfl+ 0.0698So + 0.0633Lu] + 0.1703[0.2532FS + 0.3175H + 0.4349GD]. Adaptive capacity was derived based on the response of the community. It was predicted that about 3,278.47 ha or approximately 65.12% have high vulnerability to landslide. This is followed by moderate landslide vulnerability with 1,666.11 ha and very high vulnerability covering about 89.60 ha. The GIS-assisted model predicted the location of areas that are vulnerable. Generally, areas vulnerable to landslides are located in steeper slopes and in unstable geology. This can be further triggered by high rainfall that causes soil saturation and mass movement downslope. Moreover, the results also showed the capability of GIS-assisted approach with AHP in assessing areas vulnerable to landslide.
Sylvatrop, The Technical Journal of Philippine Ecosystems and Natural Resources, 2015
The study was conducted in the ecologically and economically significant Matutinao Watershed in ... more The study was conducted in the ecologically and economically
significant Matutinao Watershed in Cebu. Ongoing developmental activities in the area necessitate a landslide vulnerability assessment to avoid possible losses of lives and properties. A GIS-assisted approach was developed to a) evaluate the utility of GIS with regard to landslide vulnerability assessment anchored on the climate change framework; b) identify and map out the areas vulnerable to landslide; c) recommend appropriate measures to avoid loss of lives and properties; and d) formulate policy recommendations. Using the Analytical Hierarchy Process (AHP) in determining the relative importance of factors identified and GIS, the landslide vulnerability anchored in a climate change perspective was determined. Exposure to landslide was based on 2020 climate projections. The sensitivity was computed based on the model derived from AHP, expressed as L = 0.8297[0.3160Sl + 0.0973R + 0.0973T + 0.0912Ga + 0.0912Gf + 0.1729Gfl+ 0.0698So + 0.0633Lu] + 0.1703[0.2532FS + 0.3175H + 0.4349GD]. Adaptive capacity was derived based on the response of the community. It was predicted that about 3,278.47 ha or approximately 65.12% have high vulnerability to landslide. This is followed by moderate landslide vulnerability with 1,666.11 ha and very high vulnerability covering about 89.60 ha. The GIS-assisted model predicted the location of areas that are vulnerable. Generally, areas vulnerable to landslides are located in steeper slopes and in unstable geology. This can be further triggered by high rainfall that causes soil saturation and mass movement downslope. Moreover, the results also showed the capability of GIS-assisted approach with AHP in assessing areas vulnerable to landslide.