Landslide susceptibility mapping in the Penang Island, Malaysia - Using the AHP and OLS methods -
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The purpose of this research is to identify and classify the Penang Island according to the grade of present or potential danger of land failure happening by generating landslide susceptibility zonation map. This work presents Analytical Hierarchy Process(AHP) method to identify the landslide prone areas. Seven factors were considered in this analysis. Sensitivity analysis was performed in detail by varying the contributing factors weights and their effects on defined landslide susceptible locations(alternatives). In other part of the project, ordinary least square(OLS) technique was used to estimate weights of point parameters then its result compared with AHP technique result. Then, to verify the practicality of susceptibility maps, they were compared with a landslide inventory map. The outcome was that the 75% of occurred land failures fit into the very high and high susceptibility class of AHP map(using seven parameters), while this is 73.8% in the case of AHP with point parameters(using four parameters), and 65.8% for the OLS map. As conclusion, the AHP method yields reasonable results which make it reliable and credible approach in comparison with OLS, especially in the case of using large number of landslide contributing factors.
Abstract
The purpose of this research is to identify and classify the Penang Island according to the grade of present or potential danger of land failure happening by generating landslide susceptibility zonation map. This work presents Analytical Hierarchy Process(AHP) method to identify the landslide prone areas. Seven factors were considered in this analysis. Sensitivity analysis was performed in detail by varying the contributing factors weights and their effects on defined landslide susceptible locations(alternatives). In other part of the project, ordinary least square(OLS) technique was used to estimate weights of point parameters then its result compared with AHP technique result. Then, to verify the practicality of susceptibility maps, they were compared with a landslide inventory map. The outcome was that the 75% of occurred land failures fit into the very high and high susceptibility class of AHP map(using seven parameters), while this is 73.8% in the case of AHP with point parameters(using four parameters), and 65.8% for the OLS map. As conclusion, the AHP method yields reasonable results which make it reliable and credible approach in comparison with OLS, especially in the case of using large number of landslide contributing factors.
참고문헌 (27)
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