Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data

Landslides are one of the many forms of natural hazards that often cause severe property damages, economic loss, and high maintenance costs. Slope failures are a result of multiple triggering factors, including anthropogenic activities, earthquakes, and intense rainfall, and reactions of a host of u...

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Main Author:	Abdulwahid, Waleed Mohammed
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Landslides - Risk assessment Landslide hazard analysis Geomorphological mapping
Online Access:	http://psasir.upm.edu.my/id/eprint/70552/1/FK%202016%20106%20-%20IR.pdf
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spelling	my-upm-ir.705522019-08-21T07:35:36Z Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data 2016-04 Abdulwahid, Waleed Mohammed Landslides are one of the many forms of natural hazards that often cause severe property damages, economic loss, and high maintenance costs. Slope failures are a result of multiple triggering factors, including anthropogenic activities, earthquakes, and intense rainfall, and reactions of a host of unstable surface materials related to geology, land cover, slope geometry, moisture content, and vegetation. In recent decades, numerous people have become the victims of landslides in many regions worldwide. Although there has been a broad exploration into measuring landslide hazard, research into outcome investigation and the appraising of the vulnerability has been constrained and remains in its infancy. An understanding and assessment of the vulnerability of elements exposed to landslide hazard are of key importance to landslide risk assessment. This study presents a semi-quantitative landslide vulnerability and risk assessment for the hazard mapping of rainfall-induced landslides. This approach was tested in the Ringlet area in Malaysia. This research has three objectives; the first objective focuses on construction of landslide susceptibility map using conditioning factors and probability models for the study area. The logistic regression model was employed. The most significant landslide conditioning factors were prioritized, and the model was validated using success and prediction rate curves. The predicted map yielded higher prediction accuracy and achieved better discrimination of susceptible zones. The second objective focuses on developing hazard assessment by implementing the temporal probability. Using available precipitation data from 2000 to 2014. Four different antecedent values: average value of any day in the year, and abnormal intensity in the day. And three different average rainfall depth: 5, 10, and 15 years. Finally, hazard maps were developed based on the multiplied results of the spatial and temporal of Ringlet area. In this study the semi-quantitative risk assessment of landslide hazards and vulnerability map was developed. An integration between the vulnerability and the hazard maps were accomplished to predict the facilities that are likely to be affected by direct risks. Additionally, an exposure overlay of elements at risk and hazard maps for different duration of intensity were employed to calculate the loss. Results then used to predict area under risk and calculate annualized risk. The expected results proved the capacity of the proposed methods to make valid prediction under landslide risk conditions in a data-scarce environment. The results are expected not only provide an assessment of future landslide hazards and risks but also serve as a guide for land use planners. The presented methods and information will add a valuable contribution to the landslide hazard and risk assessment at medium scale data analysis. Landslides - Risk assessment Landslide hazard analysis Geomorphological mapping 2016-04 Thesis http://psasir.upm.edu.my/id/eprint/70552/ http://psasir.upm.edu.my/id/eprint/70552/1/FK%202016%20106%20-%20IR.pdf text en public masters Universiti Putra Malaysia Landslides - Risk assessment Landslide hazard analysis Geomorphological mapping
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Landslides - Risk assessment Landslide hazard analysis Geomorphological mapping
spellingShingle	Landslides - Risk assessment Landslide hazard analysis Geomorphological mapping Abdulwahid, Waleed Mohammed Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
description	Landslides are one of the many forms of natural hazards that often cause severe property damages, economic loss, and high maintenance costs. Slope failures are a result of multiple triggering factors, including anthropogenic activities, earthquakes, and intense rainfall, and reactions of a host of unstable surface materials related to geology, land cover, slope geometry, moisture content, and vegetation. In recent decades, numerous people have become the victims of landslides in many regions worldwide. Although there has been a broad exploration into measuring landslide hazard, research into outcome investigation and the appraising of the vulnerability has been constrained and remains in its infancy. An understanding and assessment of the vulnerability of elements exposed to landslide hazard are of key importance to landslide risk assessment. This study presents a semi-quantitative landslide vulnerability and risk assessment for the hazard mapping of rainfall-induced landslides. This approach was tested in the Ringlet area in Malaysia. This research has three objectives; the first objective focuses on construction of landslide susceptibility map using conditioning factors and probability models for the study area. The logistic regression model was employed. The most significant landslide conditioning factors were prioritized, and the model was validated using success and prediction rate curves. The predicted map yielded higher prediction accuracy and achieved better discrimination of susceptible zones. The second objective focuses on developing hazard assessment by implementing the temporal probability. Using available precipitation data from 2000 to 2014. Four different antecedent values: average value of any day in the year, and abnormal intensity in the day. And three different average rainfall depth: 5, 10, and 15 years. Finally, hazard maps were developed based on the multiplied results of the spatial and temporal of Ringlet area. In this study the semi-quantitative risk assessment of landslide hazards and vulnerability map was developed. An integration between the vulnerability and the hazard maps were accomplished to predict the facilities that are likely to be affected by direct risks. Additionally, an exposure overlay of elements at risk and hazard maps for different duration of intensity were employed to calculate the loss. Results then used to predict area under risk and calculate annualized risk. The expected results proved the capacity of the proposed methods to make valid prediction under landslide risk conditions in a data-scarce environment. The results are expected not only provide an assessment of future landslide hazards and risks but also serve as a guide for land use planners. The presented methods and information will add a valuable contribution to the landslide hazard and risk assessment at medium scale data analysis.
format	Thesis
qualification_level	Master's degree
author	Abdulwahid, Waleed Mohammed
author_facet	Abdulwahid, Waleed Mohammed
author_sort	Abdulwahid, Waleed Mohammed
title	Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
title_short	Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
title_full	Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
title_fullStr	Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
title_full_unstemmed	Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
title_sort	landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
granting_institution	Universiti Putra Malaysia
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/70552/1/FK%202016%20106%20-%20IR.pdf
_version_	1747812865701576704

Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data

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