Landslide susceptibility mapping along PLUS expressways in Malaysia using probabilistic based model in GIS

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Yusof, Norbazlan M.^1 ; Pradhan, Biswajeet^2

PLUS Berhad, Persada PLUS, Subang Interchange, KM15, New Klang Valley Expressway, 47301 Petaling Jaya, Selangor, Malaysia^1

Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor Darul Ehsan, Malaysia^2

关键词: Condition assessments;    Decision support tools;    Economic development;    Frequency ratio models;    High resolution satellite data;    Landslide susceptibility mapping;    Maintenance activity;    Maintenance management systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012031/pdf
DOI  :  10.1088/1755-1315/20/1/012031

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

PLUS Berhad holds the concession for a total of 987 km of toll expressways in Malaysia, the longest of which is the North-South Expressway or NSE. Acting as the backbone' of the west coast of the peninsula, the NSE stretches from the Malaysian-Thai border in the north to the border with neighbouring Singapore in the south, linking several major cities and towns along the way. North-South Expressway in Malaysia contributes to the country economic development through trade, social and tourism sector. Presently, the highway is good in terms of its condition and connection to every state but some locations need urgent attention. Stability of slopes at these locations is of most concern as any instability can cause danger to the motorist. In this paper, two study locations have been analysed; they are Gua Tempurung (soil slope) and Jelapang (rock slope) which are obviously having two different characteristics. These locations passed through undulating terrain with steep slopes where landslides are common and the probability of slope instability due to human activities in surrounding areas is high. A combination of twelve (12) landslide conditioning factors database on slope stability such as slope degree and slope aspect were extracted from IFSAR (interoferometric synthetic aperture radar) while landuse, lithology and structural geology were constructed from interpretation of high resolution satellite data from World View II, Quickbird and Ikonos. All this information was analysed in geographic information system (GIS) environment for landslide susceptibility mapping using probabilistic based frequency ratio model. Consequently, information on the slopes such as inventories, condition assessments and maintenance records were assessed through total expressway maintenance management system or better known as TEMAN. The above mentioned system is used by PLUS as an asset management and decision support tools for maintenance activities along the highways as well as for data quality checking and integrity. In this study, TEMAN data were further analysed and subsequently integrated with landslide susceptible map for Gua Tempurung and Jelapang area in Perak.