Visualized Information Value Model Result of Landslide Vulnerability in Purworejo

被引:2
|
作者
Sudaryatno [1 ]
Widayani, Prima [1 ]
Wibowo, Totok Wahyu [1 ]
Pramono, Bayu Aji Sidiq [1 ]
Afifah, Zulfa Nur'aini [1 ]
Meikasari, Awit Dini [1 ]
Kusumawardhani, Pasya Karunia [1 ]
Firdaus, Muhammad Rizki [1 ]
机构
[1] Univ Gadjah Mada, Dept Geog Informat Sci, Bulaksumur 55281, Yogyakarta, Indonesia
来源
关键词
Landslide; vulnerability factors; visualization; 3-dimensional mapping; Information Value Model;
D O I
10.1117/12.2546121
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Indonesia is one of the disaster-prone countries. Based on the Indonesian Disaster Information Data (DIBI) and the National Disaster Management Agency (BNPB) in the last five years from 2014 to April 2019 there have been 65 landslides in Purworejo. Landslide is one of the most common disaster that occur in Indonesia. Landslide is caused by meteorological and geomorphological factors. Purworejo is one of the potential areas that could be experiencing landslides, because the geomorphological conditions which are included in Menoreh Hills are geographically sloping to very steep. Landslide susceptibility modeling in Purworejo Regency was carried out using three different methods, namely Information Value Model (IVM), Information Value Model-Analytical Hierarchy Process (IVM-AHP) and Information Value Model-Gray Clustering (IVM-GC). The difference between this research and the landslide modeling research that has been done previously is in the geovisualization section. Research that has been done to model landslide vulnerability is visualized in the form of a two-dimensional map. This research develops visualization techniques with the aim of making reading easier, increasing traction, and adding height information and impressions to map readers.The visualization used is 3-dimensional mapping. This mapping is intended to make it easier to compare the map results of modeling that have been done before. The expected results of this study are accurate and reliable 3-dimensional visualization to study the advantages and disadvantages of each of the modeling methods used.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Landslide susceptibility mapping using information value method in Jhelum Valley of the Himalayas
    Farooq S.
    Akram M.S.
    Arabian Journal of Geosciences, 2021, 14 (10)
  • [22] Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas
    Sarkar, Shraban
    Roy, Archana K.
    Martha, Tapas R.
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2013, 82 (04) : 351 - 362
  • [23] Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas
    Shraban Sarkar
    Archana K. Roy
    Tapas R. Martha
    Journal of the Geological Society of India, 2013, 82 : 351 - 362
  • [24] A geospatial information quantity model for regional landslide risk assessment
    Tan, Yumin
    Guo, Dong
    Xu, Bo
    NATURAL HAZARDS, 2015, 79 (02) : 1385 - 1398
  • [25] A geospatial information quantity model for regional landslide risk assessment
    Yumin Tan
    Dong Guo
    Bo Xu
    Natural Hazards, 2015, 79 : 1385 - 1398
  • [26] Vulnerability assessment model of derivative disasters by landslide based on fuzzy analytic hierarchy process
    Si Hu
    Ji Hong
    Chen Zhixuan
    DISASTER ADVANCES, 2012, 5 (04): : 897 - 902
  • [27] Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
    DU Guo-liang
    ZHANG Yong-shuang
    IQBAL Javed
    YANG Zhi-hua
    YAO Xin
    JournalofMountainScience, 2017, 14 (02) : 249 - 268
  • [28] Development and application of Shannon’s entropy integrated information value model for landslide susceptibility assessment and zonation in Sikkim Himalayas in India
    L. P. Sharma
    Nilanchal Patel
    M. K. Ghose
    P. Debnath
    Natural Hazards, 2015, 75 : 1555 - 1576
  • [29] Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
    Du Guo-liang
    Zhang Yong-shuang
    Iqbal, Javed
    Yang Zhi-hua
    Yao Xin
    JOURNAL OF MOUNTAIN SCIENCE, 2017, 14 (02) : 249 - 268
  • [30] Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China
    Guo-liang Du
    Yong-shuang Zhang
    Javed Iqbal
    Zhi-hua Yang
    Xin Yao
    Journal of Mountain Science, 2017, 14 : 249 - 268