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

Yusof, Norbazlan Mohd; Pradhan, Biswajeet

doi:10.1088/1755-1315/20/1/012031

Cited by 13 publications

(12 citation statements)

References 66 publications

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“…The structural mapping of Malaysia's western Bentong-Raub Suture Zone follows similar tectonic pattern (Pour, Hashim et al 2016). The zones of intersections of lineaments are inferred to be tectonically active due to their intersections at different locations and existence of high number of lineaments, which leads to the slope discontinuity weakness and could additionally result in rock failure as reported in some parts of the highway environs (Yusof and Pradhan 2014). Ultimately, the synchronicity between the lineaments intersection density and the flattened higher degree of strain signified a risk prone zone to landslides, and the severinity of incentives and rock strength within a regional scale control the distribution of landslides (Chen, Chang et al 2019).…”

Section: Conformity Of Lineament and Strain Analysis In Landslide Vul...mentioning

confidence: 97%

Integration of Lineament and Strain Analysis to Assess Landslide Vulnerability Along Taiping to Ipoh Highway, Malaysia

Yamusa

Ismail²

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The overall tectonics of a terrain and landslide occurrences can be controlled using lineament analysis. In addition, understanding the deformational characteristics of the rocks in question cannot be overemphasized. The current work was carried out along Taiping to Ipoh stretch of the North – South PLUS Highway Malaysia and its environs to assess landslide vulnerability via lineaments and strain deformation analysis. Approximately 73 km stretch of the road was analysed. Classification of about 197 lineaments was done from very high to very low density classes applying class break procedures to signify their respective risk zones. Fry strain analysis method was then integrated by digitizing the centre of the grains from which reference lines angles and axial ratios of 16 photomicrographs of various lithologies obtained from field investigations were used to understand their strain deformational pattern. The lineament intersection point map shows its concordance with the strain ellipsoid. The major trend of the lineaments and fry strain ellipsoid were both found to be trending NE–SW. Congruity between the lineaments intersection density and the flattened higher degree of strain signified a risk prone zone and probable landslide trigger along the highway.

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Section: Conformity Of Lineament and Strain Analysis In Landslide Vul...mentioning

confidence: 97%

Integration of Lineament and Strain Analysis to Assess Landslide Vulnerability Along Taiping to Ipoh Highway, Malaysia

Yamusa

Ismail²

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Malaysia is a tropical country with a warm and humid climate throughout the year. Over a recent 20-year period (1998-August 2018), Malaysia has witnessed 51 disaster events [34][35][36][37][38][39][40][41][42][43]. During that time, 281 people died, more than 3 million people were affected, and disasters caused nearly US$2 billion in damage [44].…”

Section: Landslides: Malaysia's Experiencementioning

confidence: 99%

Social Vulnerability Assessment for Landslide Hazards in Malaysia: A Systematic Review Study

Idris

Muhamad

Taha

et al. 2021

Land

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Landslides represent one of the world’s most dangerous and widespread risks, annually causing thousands of deaths and billions of dollars worth of damage. Building on and around hilly areas in many regions has increased, and it poses a severe threat to the physical infrastructure and people living within such zones. Quantitative assessment of social vulnerability in Malaysia is worrying because it has been given less attention than hazard-related studies. Therefore, this study’s objective is to find out the indicators used for social vulnerability assessment in the context of a landslide in Malaysia. The analysis is critical for understanding the measures of social vulnerability, given that the incorporation of climate change and disaster risk mitigation issues in urban planning and management are considered priorities in ensuring a stable population growth and avoiding economic disruption. A systematic study on the Scopus and Web of Science repositories was conducted based on the PRISMA Report analysis method. This article concluded that there are six important indicators of social vulnerability in the context of landslide in Malaysia.

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“…The soil of Eastern-Himalayan hill and foot-hill area depends upon the fundamental geological structure [14,34]. But, in general, the soil has been formed in cooperation fluvial action with lithological disintegration (Fig.…”

Section: Soil Typementioning

confidence: 99%

“…The area under curve (AUC) values can be classified into five categories such as poor (0.5-0.6), average (0.6-0.7), good (0.7-0.8), very good (0.8-0.9) and excellent (0.9-1) [2,64,65]. The intensity of the accuracy of the model has been categorized after Pradhan et al [14]. The perfect model demonstrates a curve that has the largest area under curve (AUC).…”

Section: Models Validation and Comparisonmentioning

confidence: 99%

“…Raghuvanshi [13] described that the internal parameters handle the stable status of the shield, such as geological factors (lithological structure, soil type and underground conditions), shield geometry (shield aspect, curvature or height) and also land-use/ land-cover. The machine language-based artificial neural network model for LSZ analysis was applied in the Cameron, Malaysia [14]. Saaty [15] initiated the analytical hierarchy process (AHP), the semiquantitative method based on comparative judgment.…”

Section: Introductionmentioning

confidence: 99%

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Geo-spatial approach-based landslide susceptibility mapping using analytical hierarchical process, frequency ratio, logistic regression and their ensemble methods

2020

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Kurseong municipality and its surrounding hill slope are famous high altitudinal residential areas in the Darjeeling Himalayan region of India. In Darjeeling Himalayas, huge landslides occur in the rainy season every year. This paper was aimed to delineate landslide susceptibility zone (LSZ) in Kurseong and its surrounding hill slope in Darjeeling Himalayas. Nine landslide inducing parameters (i.e., slope, altitude, rainfall, geological structure, distance from river channels, distance from lineament, soil type or characteristics, land-use/land-cover and aspect) were used for mapping LSZ applying analytic hierarchy process (AHP), frequency ratio (FR), binary logistic regression (BLR) models and their ensemble (AHP-FR; AHP-BLR; and FR-BLR) with the aid of ArcGIS, SPSS and ERDAS software. The landslide susceptible maps produced in GIS environment by the AHP, FR, BLR and their ensemble models were classified into five susceptibility classes such as very low, low, moderate, high and very high. The area under curve (AUC) of receiver operating characteristics (ROC) and kappa statistics were used to analyze the accuracy of the LSZ maps. The AUC values of prepared maps were 78.86% (AHP), 80.22% (FR), 80.67% (BLR), 83.44% (AHP-FR), 84.39% (AHP-BLR) and 84.73% (FR-BLR). Overall kappa statistics were 0.789 (AHP), 0.812 (FR), 0.799 (BLR), 0.837 (AHP-FR), 0856 (AHP-BLR) and 0.868 (FR-BLR), indicating the good accuracy of the models. The mapping of LSZ will be useful for land-use planning and future landslide hazard mitigation strategies.

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

Cited by 13 publications

References 66 publications

Integration of Lineament and Strain Analysis to Assess Landslide Vulnerability Along Taiping to Ipoh Highway, Malaysia

Integration of Lineament and Strain Analysis to Assess Landslide Vulnerability Along Taiping to Ipoh Highway, Malaysia

Social Vulnerability Assessment for Landslide Hazards in Malaysia: A Systematic Review Study

Geo-spatial approach-based landslide susceptibility mapping using analytical hierarchical process, frequency ratio, logistic regression and their ensemble methods

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