Landslide susceptibility assessment considering landslide typology. A case study in the area north of Lisbon (Portugal)

被引:91
|
作者
Zezere, J. L. [1 ]
机构
[1] Fac Letras, Ctr Estudos Geog, P-1600214 Lisbon, Portugal
关键词
D O I
10.5194/nhess-2-73-2002
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The aim of the study is to confirm the importance of discriminate different types of slope movements for a better landslide susceptibility evaluation. The study was applied to the sample area of Calhandriz (11.3 km(2)) in the area North of Lisbon. Sixty shallow translational slides, 23 deeper translational movements and 19 rotational movements were selected for statistical analysis. Landslide susceptibility assessment was achieved using a data-driven approach: the Information Value Method (Yin and Yan, 1988). The method was applied both to the total set of considered landslides and to each type of slope movement, and the obtained success rates for the highest susceptibility classes are higher in the latter case. The different types of landslides are not equally conditioned by the considered instability factors. Information scores are higher for lithology, concordance between slope aspect and dip of the strata, and slope angle, respectively, for rotational movements, translational movements and shallow translational slides. The information value of the variables "presence of artificial cut (roads)" and "presence of fluvial channel" is systematically high for the three types of slope movement, pointing out the importance of both anthropogenic influence and bank erosion on slope instability in the study area. Different types of landslides have neither the same magnitude nor equal damaging potential. Furthermore, technical strategies to mitigate landsliding also depend on landslide typology. These are additional reasons to discriminate between different types of slope movements when assessing landslide susceptibility and hazard.
引用
下载
收藏
页码:73 / 82
页数:10
相关论文
共 50 条
  • [1] Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal)
    Zezere, J. L.
    Garcia, R. A. C.
    Oliveira, S. C.
    Reis, E.
    GEOMORPHOLOGY, 2008, 94 (3-4) : 467 - 495
  • [2] Landslide Susceptibility Assessment Considering Landslide Volume: A Case Study of Yangou Watershed on the Loess Plateau (China)
    Gao, Hang
    Zhang, Xia
    APPLIED SCIENCES-BASEL, 2022, 12 (09):
  • [3] Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India
    Somnath Bera
    Vaibhav Kumar Upadhyay
    Balamurugan Guru
    Thomas Oommen
    Natural Hazards, 2021, 108 : 1257 - 1289
  • [4] Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India
    Bera, Somnath
    Upadhyay, Vaibhav Kumar
    Guru, Balamurugan
    Oommen, Thomas
    NATURAL HAZARDS, 2021, 108 (01) : 1257 - 1289
  • [5] Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
    Ercanoglu, M
    Gokceoglu, C
    ENVIRONMENTAL GEOLOGY, 2002, 41 (06): : 720 - 730
  • [6] Integration of spatial and temporal data for the definition of different landslide hazard scenarios in the area north of Lisbon (Portugal)
    Zêzere, JL
    Reis, E
    Garcia, R
    Oliveira, S
    Rodrigues, ML
    Vieira, G
    Ferreira, AB
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2004, 4 (01) : 133 - 146
  • [7] Implications of Landslide Typology and Predisposing Factor Combinations for Probabilistic Landslide Susceptibility Models: A Case Study in Lajedo Parish (Flores Island, Azores-Portugal)
    Silva, Rui Fagundes
    Marques, Rui
    Gaspar, Joao Luis
    GEOSCIENCES, 2018, 8 (05)
  • [8] Considering the effect of non-landslide sample selection on landslide susceptibility assessment
    Zhu, Youchen
    Sun, Deliang
    Wen, Haijia
    Zhang, Qiang
    Ji, Qin
    Li, Changming
    Zhou, Pinggen
    Zhao, Jianjun
    GEOMATICS NATURAL HAZARDS & RISK, 2024, 15 (01)
  • [9] Landslide susceptibility assessment in mountainous area: a case study of Sichuan–Tibet railway, China
    Ruian Wu
    Yongshuang Zhang
    Changbao Guo
    Zhihua Yang
    Jie Tang
    Fangrui Su
    Environmental Earth Sciences, 2020, 79
  • [10] Landslide Susceptibility Assessment and Validation in the Framework of Municipal Planning in Portugal: The Case of Loures Municipality
    Clemence Guillard
    Jose Zezere
    Environmental Management, 2012, 50 : 721 - 735