Landslide susceptibility assessment of Pagudpud, Ilocos Norte along the Manila North Road / Ma. Arlena Q. Adaon, Chery F. Cabuyadao, Laureigh Karyz T. Dalire, John Daniel D. Pagdilao

By: Adaon, Ma. Arlena Q...et.alMaterial type: TextTextPublication details: City of Batac : MMSU, 2024Description: xviii, 95 leaves : 28 cmSummary: Landslides frequently disrupt transportation and damage infrastructure in Pagudpud, Ilocos Norte, particularly along the Manila North Road. This study utilized logistic regression to analyze the relationship between landslides and various causal factors, including slope angle, slope aspect, plan curvature, profile curvature, elevation, TWI, SPI, STI, land cover, distance to stream, distance to fault, distance to road, soil type, and precipitation. A Digital Elevation Model was created to extract these factors, identifying elevation, slope angle, plan curvature, distance to faults, and precipitation as the most significant contributors to landslide occurrence, with p-values below 0.05.A landslide susceptibility map was then generated, categorizing areas into low, moderate, high, and very high susceptibility zones. Notably, areas in Balaoi and Caunayan showed moderate susceptibility despite gentle slopes, while large portions of Tarrag, Subec, and Caunayan were highly susceptible, and parts of Balaoi and Pasaleng were very high susceptible. The model's validity was confirmed with an ANOVA p-value of 9.2536E-10 which is well below a threshold of significance 0.05. Based on the susceptibility map, a five-year management plan was developed, detailing specific countermeasures for each zone to mitigate landslide risks. This study provides crucial information for reducing landslide risks and protecting lives and infrastructure in Pagudpud by combining field surveys, historical landslide information, and logistic regression analysis, aiding future decision-making and regional safety.
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UTHESIS (Bachelor of Science in Civil Engineering)

Bibliography: leaves 64 to 67

Landslides frequently disrupt transportation and damage infrastructure in Pagudpud, Ilocos Norte, particularly along the Manila North Road. This study utilized logistic regression to analyze the relationship between landslides and various causal factors, including slope angle, slope aspect, plan curvature, profile curvature, elevation, TWI, SPI, STI, land cover, distance to stream, distance to fault, distance to road, soil type, and precipitation. A Digital Elevation Model was created to extract these factors, identifying elevation, slope angle, plan curvature, distance to faults, and precipitation as the most significant contributors to landslide occurrence, with p-values below 0.05.A landslide susceptibility map was then generated, categorizing areas into low, moderate, high, and very high susceptibility zones. Notably, areas in Balaoi and Caunayan showed moderate susceptibility despite gentle slopes, while large portions of Tarrag, Subec, and Caunayan were highly susceptible, and parts of Balaoi and Pasaleng were very high susceptible. The model's validity was confirmed with an ANOVA p-value of 9.2536E-10 which is well below a threshold of significance 0.05. Based on the susceptibility map, a five-year management plan was developed, detailing specific countermeasures for each zone to mitigate landslide risks. This study provides crucial information for reducing landslide risks and protecting lives and infrastructure in Pagudpud by combining field surveys, historical landslide information, and logistic regression analysis, aiding future decision-making and regional safety.

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