A model for assessing the systemic vulnerability in landslide prone areas

被引:33
|
作者
Pascale, S. [2 ]
Sdao, F. [1 ]
Sole, A. [2 ]
机构
[1] Univ Basilicata, Dept Struct, I-85100 Potenza, Italy
[2] Univ Basilicata, Dept Environm Engn & Phys, I-85100 Potenza, Italy
关键词
URBAN AREA; SUSCEPTIBILITY; HAZARD;
D O I
10.5194/nhess-10-1575-2010
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The objectives of spatial planning should include the definition and assessment of possible mitigation strategies regarding the effects of natural hazards on the surrounding territory. Unfortunately, however, there is often a lack of adequate tools to provide necessary support to the local bodies responsible for land management. This paper deals with the conception, the development and the validation of an integrated numerical model for assessing systemic vulnerability in complex and urbanized landslide-prone areas. The proposed model considers this vulnerability not as a characteristic of a particular element at risk, but as a peculiarity of a complex territorial system, in which the elements are reciprocally linked in a functional way. It is an index of the tendency of a given territorial element to suffer damage (usually of a functional kind) due to its interconnections with other elements of the same territorial system. The innovative nature of this work also lies in the formalization of a procedure based on a network of influences for an adequate assessment of such 'systemic' vulnerability. This approach can be used to obtain information which is useful, in any given situation of a territory hit by a landslide event, for the identification of the element which has suffered the most functional damage, ie the most 'critical' element and the element which has the greatest repercussions on other elements of the system and thus a 'decisive' role in the management of the emergency. This model was developed within a GIS system through the following phases: 1. the topological characterization of the territorial system studied and the assessment of the scenarios in terms of spatial landslide hazard. A statistical method, based on neural networks was proposed for the assessment of landslide hazard; 2. the analysis of the direct consequences of a scenario event on the system; 3. the definition of the assessment model of systemic vulnerability in landslide-prone areas. To highlight the potentialities of the proposed approach we have described a specific case study of landslide hazard in the local council area of Potenza.
引用
收藏
页码:1575 / 1590
页数:16
相关论文
共 50 条
  • [11] Assessing landslide exposure in areas with limited landslide information
    Pellicani, Roberta
    Van Westen, Cees J.
    Spilotro, Giuseppe
    LANDSLIDES, 2014, 11 (03) : 463 - 480
  • [12] Assessing landslide exposure in areas with limited landslide information
    Roberta Pellicani
    Cees J. Van Westen
    Giuseppe Spilotro
    Landslides, 2014, 11 : 463 - 480
  • [13] Assessing the soil moisture effects of planted vegetation on slope stability in shallow landslide-prone areas
    Li, Jia
    Wang, Xia
    Jia, Haixia
    Liu, Yang
    Zhao, Yunfei
    Shi, Changming
    Zhang, Furong
    Wang, Kaichang
    JOURNAL OF SOILS AND SEDIMENTS, 2021, 21 (07) : 2551 - 2565
  • [14] Assessing the soil moisture effects of planted vegetation on slope stability in shallow landslide-prone areas
    Jia Li
    Xia Wang
    Haixia Jia
    Yang Liu
    Yunfei Zhao
    Changming Shi
    Furong Zhang
    Kaichang Wang
    Journal of Soils and Sediments, 2021, 21 : 2551 - 2565
  • [15] Analytical estimation of hazard and risk in landslide prone areas
    Cherubini, C
    Giasi, CI
    RISK ANALYSIS II, 2000, 3 : 317 - 328
  • [16] Spatial Pattern of Hydrological Predictability of Landslide-Prone Areas
    Nazzareno, Diodato
    Luigi, Guerriero
    Paola, Revellino
    Gerardo, Grelle
    Maria, Guadagno Francesco
    ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 2: LANDSLIDE PROCESSES, 2015, : 1611 - 1613
  • [17] Variability in soil physical properties in landslide-prone areas
    Miguel Fonseca, Leticia d'Agosto
    Lani, Joao Luiz
    Fernandes Filho, Elpidio Inacio
    dos Santos, Gerson Rodrigues
    Marques Ferreira, Williams Pinto
    Rocha Trancoso Santos, Adriana Maria
    ACTA SCIENTIARUM-AGRONOMY, 2017, 39 (01): : 109 - 118
  • [18] Post-earthquake landslide detection and early detection of landslide prone areas using SAR
    Liao, Mingsheng
    Zhang, Lu
    Balz, Timo
    2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 1629 - 1633
  • [19] History of landslide susceptibility and a chorology of landslide-prone areas in the Western Ghats of Kerala, India
    Kuriakose, Sekhar L.
    Sankar, G.
    Muraleedharan, C.
    ENVIRONMENTAL GEOLOGY, 2009, 57 (07): : 1553 - 1568
  • [20] A decision-making support model for systemic vulnerability assessment in urbanized areas
    Sole, A.
    Albano, R.
    Pascale, S.
    Giosa, L.
    Sdao, F.
    Sivertun, A.
    URBAN AND REGIONAL DATA MANAGEMENT, 2012, : 211 - 219