Analogy between grid-based modeling of landslide and avalanche using GIS with surface flow analysis

被引:4
|
作者
Kim, Sung-Min [1 ]
Park, Hyeong-Dong [2 ]
机构
[1] Seoul Natl Univ, Div Grad Educ Sustainabil Fdn Energy, Seoul 08826, South Korea
[2] Seoul Natl Univ, Dept Energy Syst Engn, Res Inst Energy & Resources, Seoul 08826, South Korea
基金
新加坡国家研究基金会;
关键词
Landslides; Avalanches; Mountainous area; Surface flow analysis; Weight-of-evidence; DEBRIS FLOWS; TEST-SITE; SUSCEPTIBILITY; AREA; FREQUENCY; HAZARDS; VERIFICATION; COMBINATION; SIMULATION; EARTHQUAKE;
D O I
10.1007/s10064-017-1144-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mountainous areas with steep slopes are vulnerable to landslide and often to avalanche according to the climate condition. In the rainy season, heavy rainfall causes landslides, and avalanche can be a serious threat to mountainous areas in winter. However, avalanche has not been emphasized relatively as compared with landslides in some nations like Korea. This paper estimates the landslide and avalanche hazard of the mountainous area with distinct seasons such as Provo Canyon in Utah and Seorak Mountain in Korea. To predict susceptibility of landslides and avalanches, several geomorphological factors were considered. These predictive factors were derived from digital elevation map, and the grid-based modeling was applied for landslide and avalanche susceptibility mapping within a geographical information system (GIS). To simulate debris flow and avalanche paths from the high potential areas, GIS-based surface flow analysis was used. As a result, this study provides information about ares prone to natural hazards, and it can be useful ancillary data for people attempting to avoid potentially hazardous areas.
引用
收藏
页码:189 / 206
页数:18
相关论文
共 50 条
  • [11] GIS-based landslide susceptibility modeling using data mining techniques
    Xia, Liheng
    Shen, Jianglong
    Zhang, Tingyu
    Dang, Guangpu
    Wang, Tao
    FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [12] Grid-Based Estimation of Transformation Between Partial Relationships Using a Genetic Algorithm
    Nakamura, Sota
    Kobayashi, Yuichi
    Matsuura, Taisei
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2022, 34 (04) : 786 - 794
  • [13] Real-time Rigid Motion Segmentation using Grid-based Optical Flow
    Lee, Sangil
    Kim, H. Jin
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 1552 - 1557
  • [14] Erratum to: Modeling and Analysis of Grid-Based Target Searching Problems in a Mobile Sensor Network
    Tanmoy Hazra
    C. R. S. Kumar
    Manisha J. Nene
    Wireless Personal Communications, 2017, 97 : 1637 - 1639
  • [15] RANDOM GRID-BASED DIC ANALYSIS OF PLASTIC FLOW NEAR INTERFACES IN DEFORMATION PROCESSING
    Gupta, Deepika
    Viswanathan, Koushik
    PROCEEDINGS OF ASME 2022 17TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2022, VOL 2, 2022,
  • [16] GIS application on spatial landslide analysis using statistical based models
    Pradhan, Biswajeet
    Lee, Saro
    Buchroithner, Manfred F.
    REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY IX, 2009, 7478
  • [17] Investigation of Hybrid Grid-Based Computational Fluid Dynamics Methods for Rotorcraft Flow Analysis
    Whitehouse, Glen R.
    Tadghighi, Hormoz
    JOURNAL OF THE AMERICAN HELICOPTER SOCIETY, 2011, 56 (03)
  • [18] Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas
    Muhammad Basharat
    Masood Qasim
    Muhammad Shafique
    Nasir Hameed
    Muhammad Tayyib Riaz
    Muhammad Rustam Khan
    Journal of Mountain Science, 2018, 15 : 2466 - 2479
  • [19] Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas
    Muhammad BASHARAT
    Masood QASIM
    Muhammad SHAFIQUE
    Nasir HAMEED
    Muhammad Tayyib RIAZ
    Muhammad Rustam KHAN
    JournalofMountainScience, 2018, 15 (11) : 2466 - 2479
  • [20] Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas
    Basharat, Muhammad
    Qasim, Masood
    Shafique, Muhammad
    Hameed, Nasir
    Riaz, Muhammad Tayyib
    Khan, Muhammad Rustam
    JOURNAL OF MOUNTAIN SCIENCE, 2018, 15 (11) : 2466 - 2479