Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change

被引:44
|
作者
Lin, Qigen [1 ]
Steger, Stefan [2 ]
Pittore, Massimiliano [2 ]
Zhang, Jiahui [3 ]
Wang, Leibin [4 ]
Jiang, Tong [1 ]
Wang, Ying [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Inst Disaster Risk Management, Sch Geog Sci, Nanjing 210044, Peoples R China
[2] Inst Earth Observat, Eurac Res, Viale Druso 1, I-39100 Bolzano, Italy
[3] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Key Lab Environm Change & Nat Disaster, Minist Emergency Management,Ministry Educ, Beijing 100875, Peoples R China
[4] Hebei Normal Univ, Sch Geog Sci, Shijiazhuang 050024, Peoples R China
关键词
Landslide; Climate change; Climate projections; Rainfall; CMIP6; SSP scenarios; RAINFALL-INDUCED LANDSLIDES; RIVER-BASIN; EMERGENT CONSTRAINTS; EXTREME PRECIPITATION; DEBRIS FLOW; IMPACTS; HAZARD; TEMPERATURE; PROJECTION; REGION;
D O I
10.1016/j.scitotenv.2022.158049
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change can alter the frequency and intensity of extreme rainfall across the globe, leading to changes in hazards posed by rainfall-induced landslides. In recent decades, China suffered great human and economic losses due to rainfall-induced landslides. However, how the landslide hazard situation will evolve in the future is still unclear, also because of sparse comprehensive evaluations of potential changes in landslide susceptibility and landslide occurrence frequency under climate change. This study builds upon observed and modelled rainfall data from 24 bias-corrected Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs), a statistical landslide susceptibility model, and empirical rainfall thresholds for landslide initiation, to evaluate changes in landslide susceptibility and landslide occurrence frequency at national-scale. Based on four Shared Socioeconomic Pathways (SSP) scenarios, changes in the rainfall regime are projected and used to evaluate subsequent alterations in landslide susceptibility and in the frequency of rainfall events exceeding empirical rainfall thresholds. In general, the results indicate that the extend of landslide susceptible terrain and the frequency of landslide-triggering rainfall will increase under climate change. Nevertheless, a closer inspection provides a spatially heterogeneous picture on how these landslide occurrence indicators may evolve across China. Until the late 21st century (2080-2099) and depending on the SSP scenarios, the mean annual precipitation is projected to increase by 13.4 % to 28.6%, inducing an 1.3 % to 2.7 % increase in the modelled areal extent of moderately to very highly susceptible terrain. Different SSP scenarios were associated with an increase in the frequency of landslide-triggering rainfall events by 10.3 % to 19.8 % with respect to historical baseline. Spatially, the southeastern Tibetan Plateau and the Tianshan Mountains in Northwestern Basins are projected to experience the largest increase in landslide susceptibility and frequency of landslide-triggering rainfall, especially under the high emission scenarios. Adaptation and mitigation methods should be prioritized for these future landslide hotspots. This work provides a better understanding of potential impacts of climate change on landslide hazard across China and represents a first step towards national-scale quantitative landslide exposure and risk assessment under climate change.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Evaluation of landslide susceptibility based on the occurrence mechanism of landslide: a case study in Yuan' an county, China
    Ma, Chuanming
    Yan, Zhiwei
    Huang, Peng
    Gao, Lin
    ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (03)
  • [2] Evaluation of landslide susceptibility based on the occurrence mechanism of landslide: a case study in Yuan' an county, China
    Chuanming Ma
    Zhiwei Yan
    Peng Huang
    Lin Gao
    Environmental Earth Sciences, 2021, 80
  • [3] Prediction of Landslide Susceptibility in the Karakorum under the Context of Climate Change
    Pei, Yanqian
    Qiu, Haijun
    Zhu, Yaru
    APPLIED SCIENCES-BASEL, 2024, 14 (18):
  • [4] Climate Change Impact for Spatial Landslide Susceptibility
    Gassner, Christine
    Promper, Catrin
    Begueria, Santiago
    Glade, Thomas
    ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 1: CLIMATE CHANGE AND ENGINEERING GEOLOGY, 2015, : 429 - 433
  • [5] Evaluation of the impact of climate change on rainfall for potential landslide triggering in Japan
    Tsunetaka, Haruka
    Murakami, Wataru
    Nakao, Katsuhiro
    Mtibaa, Slim
    Earth Surface Processes and Landforms, 50 (01):
  • [6] Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model
    Guo Z.
    Yin K.
    Huang F.
    Fu S.
    Zhang W.
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2019, 38 (02): : 287 - 300
  • [7] Spatiotemporal dynamics of landslide susceptibility under future climate change and land use scenarios
    Ullah, Kashif
    Wang, Yi
    Li, Penglei
    Fang, Zhice
    Rahaman, Mahfuzur
    Ullah, Safi
    Hamed, Mohammed Magdy
    Environmental Research Letters, 2024, 19 (12)
  • [8] Shallow landslide susceptibility assessment under future climate and land cover changes: A case study from southwest China
    Guo, Zizheng
    Ferrer, Joaquin Vicente
    Huerlimann, Marcel
    Medina, Vicente
    Puig-Polo, Carol
    Yin, Kunlong
    Huang, Da
    GEOSCIENCE FRONTIERS, 2023, 14 (04)
  • [9] Landslide susceptibility law under the absence of landslide sample and the susceptibility-InSAR multi-source information method considering the potential landslide identification
    Huang, Faming
    Wu, Dunxiao
    Chang, Zhilu
    Chen, Xi
    Tao, Jie
    Jiang, Shuihua
    Zhou, Chuangbing
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2025, 44 (03): : 584 - 601
  • [10] The influence of climate change and canopy disturbances on landslide susceptibility in headwater catchments
    Scheidl, Christian
    Heiser, Micha
    Kamper, Sebastian
    Thaler, Thomas
    Klebinder, Klaus
    Nagl, Fabian
    Lechner, Veronika
    Markart, Gerhard
    Rammer, Werner
    Seidl, Rupert
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 742