Landslide Hazard Mapping of Penang Island Using Dominant Factors

被引:0
|
作者
Tien, Tay Lea [1 ]
Alkhasawneh, Mutasem Sh. [1 ]
Ngah, Umi Kalthum [1 ]
Lateh, Habibah [2 ]
机构
[1] Univ Sains Malaysia, Sch Elect & Elect Engn, USM Engn Campus, George Town, Malaysia
[2] Univ Sains Malaysia, Sch Distance Educ, George Town 11800, Malaysia
关键词
FrequencyRatio; Geohazard; Hazard Mapping; Landslide; SUSCEPTIBILITY ASSESSMENT;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Landslide is one of the natural disasters in Malaysia and precipitation is the triggering factors for landslide in Malaysia. Besides rainfall factors, topographical factors also play key role in the susceptibility analysis of landslide. Since there are many available landslide-causative factors involved, selection of dominant factors is a crucial steps in landslide susceptibility analysis. This paper reports the landslide hazard mapping using Frequency Ratio (FR) approach with selected dominant factors in the area of Penang Island of Malaysia. Landslide hazard map of Penang Island is first generated by taking into account of twenty-two (22) landslide-causative factors. Among these twenty-two (22) factors, Iburteen (14) factors are topographic factors. They are elevation, slope gradient, slope aspect, plan curvature, profile curvature, general curvature, tangential curvature, longitudinal curvature, cross section curvature, total curvature, diagonal length, surface area, surface roughness and rugosity. The other eight (8) non topographic factors considered are land cover, vegetation cover, distance from road, distance from stream, distance from fault line, geolo*,, soil texture and rainfall precipitation. After considering all twenty-two factors for landslide hazard mapping, the analysis is repeated by removing one factor at one time to identify the dominant landslide -causative factors. Twelve dominant factors are selected from the twenty-two factors. Landslide hazard map was segregated into four categories of risks, i.e. Highly hazardous area, Hazardous area, Moderately hazardous area and Not hazardous area. The maps was assessed using ROC (Receiver Operating Characteristic) based on the area under the curve method (AUC). Landslide hazard map produced by including all 22 factors has an accuracy of 77.76%. By removing 10 irrelevant factors and employing only 12 dominant factors, the generated hazard map achieves better performance with accuracy of 79.14%.
引用
收藏
页码:154 / 158
页数:5
相关论文
共 50 条
  • [1] Landslide Hazard Mapping with Selected Dominant Factors: A Study Case of Penang Island, Malaysia
    Tay, Lea Tien
    Alkhasawneh, Mutasem Sh.
    Ngah, Umi Kalthum
    Lateh, Habibah
    INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICOMEIA 2014), 2015, 1660
  • [2] Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia
    Lee, Saro
    Pradhan, Biswajeet
    JOURNAL OF EARTH SYSTEM SCIENCE, 2006, 115 (06) : 661 - 672
  • [3] Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia
    Saro Lee
    Biswajeet Pradhan
    Journal of Earth System Science, 2006, 115 : 661 - 672
  • [4] Landslide susceptibility mapping of Penang Island, Malaysia, using remote sensing and multi-geophysical methods
    Husainy, Siti Nurkhalidah
    Bery, Andy Anderson
    Abir, Ismail Ahmad
    Lestari, Wien
    Akingboye, Adedibu Sunny
    EARTH SCIENCES RESEARCH JOURNAL, 2023, 27 (02) : 93 - 107
  • [5] Spatial Analysis on the Variances of Landslide Factors Using Geographically Weighted Logistic Regression in Penang Island, Malaysia
    Zulkafli, Syaidatul Azwani
    Abd Majid, Nuriah
    Rainis, Ruslan
    SUSTAINABILITY, 2023, 15 (01)
  • [6] Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
    Biswajeet Pradhan
    Saro Lee
    Environmental Earth Sciences, 2010, 60 : 1037 - 1054
  • [7] Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
    Pradhan, Biswajeet
    Lee, Saro
    ENVIRONMENTAL EARTH SCIENCES, 2010, 60 (05) : 1037 - 1054
  • [8] Quantitative landslide hazard mapping on Northern Vancouver Island, BC, Canada
    Bobrowsky, PT
    Chung, CJ
    Garson, D
    Guthrie, R
    EIGHTH INTERNATIONAL CONGRESS INTERNATIONAL ASSOCIATION FOR ENGINEERING GEOLOGY AND THE ENVIRONMENT, PROCEEDINGS, VOLS 1-5, 1998, : 2031 - 2037
  • [9] Conditional landslide hazard mapping
    Favre, JL
    Rézig, S
    Leroi, E
    APPLICATIONS OF STATISTICS AND PROBABILITY, VOLS 1 AND 2: CIVIL ENGINEERING RELIABILITY AND RISK ANALYSIS, 2000, : 255 - 262
  • [10] Prediction and mapping of landslide hazard
    Wu, TH
    Abdel-Latif, MA
    CANADIAN GEOTECHNICAL JOURNAL, 2000, 37 (04) : 781 - 795