Estimation of rainfall thresholds triggering shallow landslides for an operational warning system implementation

被引:96
|
作者
Tiranti, Davide [1 ]
Rabuffetti, Davide [1 ]
机构
[1] ARPA Piemonte Sistemi Previsionali, I-10135 Turin, Italy
关键词
Early warning; Intense rainfall; North-western Italy; Piemonte; DURATION CONTROL; DEBRIS-FLOW; INTENSITY; MODEL;
D O I
10.1007/s10346-010-0198-8
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The Piemonte regional warning system service, managed by the Environmental Protection Agency of Piemonte ("ARPA Piemonte" as official Italian acronym), is based on an advanced meteo-hydrological automatic monitoring system, and it is integrated with forecasting activities of severe weather-related natural hazards. At present, a meteo-hydrological chain is operated to provide flood forecasting on the main river pattern. The development of a forecasting tool for shallow landslides triggered by heavy rainfall is presented. Due to the difficulties in modelling shallow landslides triggering in a large and complex area like the Piemonte region, an empirical model is developed on the basis of the correlation between rainfall and previous landslides in historical documents. The research focuses on establishing rainfall thresholds for landslides triggering, differentiating the critical rainfall values through a geological characterisation of the different territories. The period from 1990 to 2002 is considered. A total number of 160 landslides with hourly information and time of triggering are used to calibrate the system. As a first outcome, two different zones have been identified: (1) zones in alpine environments, principally characterised by a bedrock composed of metamorphic rocks, igneous rocks, dolostones or limestones that require high values of critical rainfall and (2) zones in hilly environments, principally characterised by sedimentary bedrock that require low values of critical rainfall. Verification has been performed on a total number of 429 landslides with known date of occurrence. The results show a good agreement with the model with no missed alarms and a very low number of false alarms, thus suggesting an effective operational implementation.
引用
收藏
页码:471 / 481
页数:11
相关论文
共 50 条
  • [31] EVALUATION OF RAINFALL THRESHOLDS FOR TRIGGERING SHALLOW LANDSLIDES ON THE GENOA MUNICIPALITY AREA (ITALY): THE CASE STUDY OF THE BISAGNO VALLEY
    Cevasco, Andrea
    Sacchini, Alessandro
    Robbiano, Alessandro
    Vincenzi, Enrico
    ITALIAN JOURNAL OF ENGINEERING GEOLOGY AND ENVIRONMENT, 2010, 10 (01): : 33 - 48
  • [32] Rainfall thresholds for the triggering of landslides in northern Portugal and Spain: state of the art
    Valenzuela, Pablo
    Vaz, Teresa
    Pereira, Susana
    Jose Dominguez-Cuesta, Maria
    Bornaetxeas, Txomin
    Rivas, Victoria
    Remondo, Juan
    Gonzalez-Diez, Alberto
    Bonachea, Jaime
    Zezere, Jose Luis
    Bateira, Carlos
    Sanchez-Espeso, Javier
    San Millan, Eliezer
    Francos, Lucia
    GEOGACETA, 2023, 74 : 99 - 102
  • [33] Determination of rainfall thresholds for shallow landslides by a probabilistic and empirical method
    Huang, J.
    Ju, N. P.
    Liao, Y. J.
    Liu, D. D.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15 (12) : 2715 - 2723
  • [34] Early warning system for shallow landslides using rainfall threshold and slope stability analysis
    Naidu, Shruti
    Sajinkumar, K. S.
    Oommen, Thomas
    Anuja, V. J.
    Samuel, Rinu A.
    Muraleedharan, C.
    GEOSCIENCE FRONTIERS, 2018, 9 (06) : 1871 - 1882
  • [35] Early warning system for shallow landslides using rainfall threshold and slope stability analysis
    Shruti Naidu
    KSSajinkumar
    Thomas Oommen
    VJAnuja
    Rinu ASamuel
    CMuraleedharan
    Geoscience Frontiers, 2018, (06) : 1871 - 1882
  • [36] Early warning system for shallow landslides using rainfall threshold and slope stability analysis
    Shruti Naidu
    K.S.Sajinkumar
    Thomas Oommen
    V.J.Anuja
    Rinu A.Samuel
    C.Muraleedharan
    Geoscience Frontiers, 2018, 9 (06) : 1871 - 1882
  • [37] Rainfall thresholds of shallow landslides in Wuyuan County of Jiangxi Province, China
    Li, Xiaochao
    Liu, Handong
    Pan, Jishun
    Li, Dongdong
    Wang, Jin
    OPEN GEOSCIENCES, 2020, 12 (01) : 821 - 831
  • [38] Physically based and distributed rainfall intensity and duration thresholds for shallow landslides
    Roberto J. Marin
    Landslides, 2020, 17 : 2907 - 2917
  • [39] Physically based and distributed rainfall intensity and duration thresholds for shallow landslides
    Marin, Roberto J.
    LANDSLIDES, 2020, 17 (12) : 2907 - 2917
  • [40] Identification and characterization of rainfall events responsible for triggering of debris flows and shallow landslides
    Iadanza, Carla
    Trigila, Alessandro
    Napolitano, Francesco
    JOURNAL OF HYDROLOGY, 2016, 541 : 230 - 245