Landslide Susceptibility Modelling for Agricultural Activities in Hilly Areas
N A Ishak1, L M Sidek2, A Wayayok3, A F Abdullah4, S H Haron5, S A Farhan6, T Sulaiman7, A B Md Ariffin8, H Basri9
1N A Ishak, Sustainable Technology & Environment Group, Institute for Energy Infrastructure, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia; Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
2L M Sidek, Sustainable Technology & Environment Group, Institute for Energy Infrastructure, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia; Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
3A Wayayok, Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
4A F Abdullah, Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
5S H Haron , Sustainable Technology & Environment Group, Institute for Energy Infrastructure, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia; Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
6S A Farhan, ZHL Engineers Sdn. Bhd., 62502 Putrajaya, Wilayah Persekutuan Putrajaya.
7T Sulaiman, Department of Irrigation and Drainage, Ministry of Water, Land and Natural Resources, Jalan Sultan Salahuddin, Kuala Lumpur, Malaysia.
8A B Md Ariffin, Department of Irrigation and Drainage, Ministry of Water, Land and Natural Resources, Jalan Sultan Salahuddin, Kuala Lumpur, Malaysia.
9H Basri, Civil Engineering Department, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 6206-6212 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5139118419/2019©BEIESP | DOI: 10.35940/ijrte.D5139.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The slope failure risk assessment of a particular area can be prepared by considering the data available. Many attempts have been made to classify the risk where evaluations are made in rating or in grading the slopes based on their characteristics and erosion problems. The assessments were done for geo-hazard such as erosion and landslide recognized in planning and guidance. Most of the hazard risk analyses require detailed knowledge of the geo- environmental predisposition factors and initial events that led to failure. The results of these analyses consist of identification and mapping of all erosion induced landslide phenomenon and are often translated in the form of maps, which is the fundamental step of the hazard assessment. The ranking of susceptibility areas and the delineation of probable failure areas are among essential features relevant to the production of these maps. In this study, Landslide Susceptibility Modelling was developed by taking into consideration all the landslide susceptibility factors in Cameron Highlands. The landslide susceptibility map was produced based on the historical records of a landslide in that area for 20 years and the frequency ratio model was developed using map-overlaying techniques. The susceptibility map offers substantial benefits as a regional-scale tool over earlier susceptibility maps and Cameron Highland landslide- susceptible terrain zoning. The susceptibility map has the advantage of assisting with the implementation of suitable efforts to prevent landslides.
Keywords: Agriculture, Landslide and Slope failure risk.
Scope of the Article: Simulation Optimization and Risk Management.