IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v106y2021i3d10.1007_s11069-021-04539-6.html
   My bibliography  Save this article

Long-term analysis of rainfall-induced landslides in Umbria, central Italy

Author

Listed:
  • S. L. Gariano

    (CNR IRPI)

  • G. Verini Supplizi

    (University of Perugia)

  • F. Ardizzone

    (CNR IRPI)

  • P. Salvati

    (CNR IRPI)

  • C. Bianchi

    (CNR IRPI)

  • R. Morbidelli

    (University of Perugia)

  • C. Saltalippi

    (University of Perugia)

Abstract

Analyses of historical records of landslides and climate variables are useful tools to search for correlations between damaging landslide events and their triggers. In this work, we investigate the temporal and geographical relationships between two long-term historical series of catalogued landslide occurrences and daily rainfall data in Umbria, a central Italian region, from 1928 to 2001. Moreover, we search for changes in the frequency and density of landslides, and in the characteristics of the associated rainfall events. Using a consolidated approach, partially modified, we find that the rainfall events that have produced rainfall-induced landslides in Umbria changed in space and time during observation period and between two considered sub-periods (1928–1975 and 1976–2001). In particular, we find that: (i) the monthly distribution of landslides associated with rainfall events is quite different than that of all landslides in the regional catalogue; (ii) the spatial and temporal distribution of REL changed from the older (most events occurred in winter) to the recent period (most events occurred in autumn); (iii) the recent most rainfall events associated with landslides are characterized by a lower cumulated rainfall and a shorter duration, sign of an increased propensity of the regional territory to produce landslides over time.

Suggested Citation

  • S. L. Gariano & G. Verini Supplizi & F. Ardizzone & P. Salvati & C. Bianchi & R. Morbidelli & C. Saltalippi, 2021. "Long-term analysis of rainfall-induced landslides in Umbria, central Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2207-2225, April.
    • Handle: RePEc:spr:nathaz:v:106:y:2021:i:3:d:10.1007_s11069-021-04539-6
    DOI: 10.1007/s11069-021-04539-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-04539-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-021-04539-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M. Polemio & T. Lonigro, 2015. "Trends in climate, short-duration rainfall, and damaging hydrogeological events (Apulia, Southern Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 515-540, January.
    2. Stefano Luigi Gariano & Massimo Melillo & Silvia Peruccacci & Maria Teresa Brunetti, 2020. "How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 655-670, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luca Schilirò & Gian Marco Marmoni & Matteo Fiorucci & Massimo Pecci & Gabriele Scarascia Mugnozza, 2023. "Preliminary insights from hydrological field monitoring for the evaluation of landslide triggering conditions over large areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1401-1426, September.
    2. Paulo Rodolpho Pereira Hader & Fábio Augusto Gomes Vieira Reis & Anna Silvia Palcheco Peixoto, 2022. "Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1273-1304, January.
    3. Francesco Fusco & Massimiliano Bordoni & Rita Tufano & Valerio Vivaldi & Claudia Meisina & Roberto Valentino & Marco Bittelli & Pantaleone De Vita, 2022. "Hydrological regimes in different slope environments and implications on rainfall thresholds triggering shallow landslides," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 907-939, October.
    4. Weidong Zhao & Yunyun Cheng & Jie Hou & Yihua Chen & Bin Ji & Lei Ma, 2023. "A regional early warning model of geological hazards based on big data of real-time rainfall," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3465-3480, April.
    5. Rattana Salee & Avirut Chinkulkijniwat & Somjai Yubonchit & Suksun Horpibulsuk & Chadanit Wangfaoklang & Sirirat Soisompong, 2022. "New threshold for landslide warning in the southern part of Thailand integrates cumulative rainfall with event rainfall depth-duration," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 125-141, August.
    6. Alessandro C. Mondini & Fausto Guzzetti & Massimo Melillo, 2023. "Deep learning forecast of rainfall-induced shallow landslides," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    7. Qigen Lin & Ying Wang & Thomas Glade & Jiahui Zhang & Yue Zhang, 2020. "Assessing the spatiotemporal impact of climate change on event rainfall characteristics influencing landslide occurrences based on multiple GCM projections in China," Climatic Change, Springer, vol. 162(2), pages 761-779, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:106:y:2021:i:3:d:10.1007_s11069-021-04539-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.