Spatiotemporal Characteristics and Rainfall Thresholds of Geological Landslide Disasters in ASEAN Countries

被引:2
作者
Lu, Weiping [1 ]
Xiao, Zhixiang [2 ]
Chen, Yuhang [2 ]
Sun, Jingwen [3 ]
Chen, Feisheng [3 ]
机构
[1] Guangxi Inst Meteorol Sci, Nanning 530022, Peoples R China
[2] Nanning Normal Univ, Sch Geog & Planning, Nanning 530001, Peoples R China
[3] Wuzhou Meteorol Bur, Wuzhou 543001, Peoples R China
基金
中国国家自然科学基金;
关键词
ASEAN; landslide; spatiotemporal pattern; intensity-duration (I-D) rainfall threshold curve; SHALLOW LANDSLIDES; DURATION CONTROL; PRECIPITATION; PROBABILITY; INTENSITY;
D O I
10.3390/atmos15050599
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drawing upon a comprehensive global database of landslides and utilizing high-resolution IMERG satellite precipitation data, this study investigates the spatial and temporal variations of landslide occurrences across the member states of the Association of Southeast Asian Nations (ASEAN). This study constructs a region-specific, graded warning system by formulating an average effective intensity-duration (I-D) rainfall threshold curve for each ASEAN member. Examination of 1747 landslide events spanning from 2006 to 2018 illustrates a significant association between the frequency of landslides in ASEAN regions and the latitudinal movement of local precipitation bands. Incidences of landslides hit their lowest in March and April, while a surge is observed from October to January, correlating with the highest mortality rates. Geographical hotspots for landslide activity, characterized by substantial annual rainfall and constrained landmasses, include the Philippine archipelago, Indonesia's Java Island, and the Malay Peninsula, each experiencing an average of over 2.5 landslides annually. Fatalities accompany approximately 41.4% of ASEAN landslide events, with the Philippines and Indonesia registering the most substantial numbers. Myanmar stands out for the proportion of large-scale landslide incidents, with an average casualty rate of 10.89 deaths per landslide, significantly surpassing other countries in the region. The I-D rainfall threshold curves indicate that the Philippines experienced the highest precipitation levels before landslide initiation, whereas Myanmar has the threshold set at a considerably lower level.
引用
收藏
页数:13
相关论文
共 30 条
  • [11] Applying probability determination to refine landslide-triggering rainfall thresholds using an empirical "Antecedent Daily Rainfall Model"
    Glade, T
    Crozier, M
    Smith, P
    [J]. PURE AND APPLIED GEOPHYSICS, 2000, 157 (6-8) : 1059 - 1079
  • [12] The rainfall intensity-duration control of shallow landslides and debris flows: an update
    Guzzetti, Fausto
    Peruccacci, Silvia
    Rossi, Mauro
    Stark, Colin P.
    [J]. LANDSLIDES, 2008, 5 (01) : 3 - 17
  • [13] [黄发明 Huang Faming], 2022, [地球科学, Earth Science], V47, P4609
  • [14] Determination of rainfall thresholds for shallow landslides by a probabilistic and empirical method
    Huang, J.
    Ju, N. P.
    Liao, Y. J.
    Liu, D. D.
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15 (12) : 2715 - 2723
  • [15] Keaokiriya P., 2022, Disaster risk reduction in the ASEAN region: Understanding and assessing systematic risks of floods and landslides in a river basin context
  • [16] Spatial and temporal analysis of a global landslide catalog
    Kirschbaum, Dalia
    Stanley, Thomas
    Zhou, Yaping
    [J]. GEOMORPHOLOGY, 2015, 249 : 4 - 15
  • [17] [李铭宇 Li Mingyu], 2020, [大气科学学报, Transactions of Atmospheric Sciences], V43, P687
  • [18] [李媛 Li Yuan], 2004, [中国地质灾害与防治学报, The Chinese Journal of Geological Hazard and Control], V15, P29
  • [19] [林巍 Lin Wei], 2020, [长江科学院院报, Journal of Yangtze River Scientific Research Institute], V37, P48
  • [20] Liu H.Z., 2016, Bull. Soil Water Conserv, V36, P74