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
  • [41] Landslide hazard zonation mapping and comparative analysis of hazard zonation maps
    Sarkar, S.
    Anbalagan, R.
    JOURNAL OF MOUNTAIN SCIENCE, 2008, 5 (03) : 232 - 240
  • [42] Mapping of landslide hazard zonation using GIS at Golestan watershed, northeast of Iran
    Bagherzadeh, Ali
    Daneshvar, Mohammad Reza Mansouri
    ARABIAN JOURNAL OF GEOSCIENCES, 2013, 6 (09) : 3377 - 3388
  • [43] Mapping of landslide hazard zonation using GIS at Golestan watershed, northeast of Iran
    Ali Bagherzadeh
    Mohammad Reza Mansouri Daneshvar
    Arabian Journal of Geosciences, 2013, 6 : 3377 - 3388
  • [44] Landslide hazard mapping using Monte Carlo simulation - A case study in Taiwan
    Liu, Chia-Nan
    GEOTECHNICAL ENGINEERING FOR DISASTER MITIGATION AND REHABILITATION, 2008, : 189 - 194
  • [45] Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada
    Chen, Zhaohua
    Wang, Jinfei
    NATURAL HAZARDS, 2007, 42 (01) : 75 - 89
  • [46] Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada
    Zhaohua Chen
    Jinfei Wang
    Natural Hazards, 2007, 42 : 75 - 89
  • [47] Landslide Hazard Zonation Mapping Using Remote Sensing and GIS in Mountainous Terrain
    Prabhakar, Dolonchapa
    Shukla, Anoop Kumar
    Javed, Babar
    Shukla, Satyavati
    DEVELOPMENTS AND APPLICATIONS OF GEOMATICS, DEVA 2022, 2024, 450 : 339 - 359
  • [48] Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica
    Bryce, Erin
    Lombardo, Luigi
    van Westen, Cees
    Tanyas, Hakan
    Castro-Camilo, Daniela
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, 36 (08) : 2071 - 2084
  • [49] Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica
    Erin Bryce
    Luigi Lombardo
    Cees van Westen
    Hakan Tanyas
    Daniela Castro-Camilo
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 2071 - 2084
  • [50] Total Suspended Solids (TSS) Mapping Using ALOS Imagery over Penang Island, Malaysia
    Lim, H. S.
    MatJafri, M. Z.
    Abdullah, K.
    Wong, C. J.
    PROCEEDINGS OF THE 2009 SIXTH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION, 2009, : 503 - 509