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Anthropogenic sinkholes of the city of Naples, Italy: an update

Author

Listed:
  • Rita Tufano

    (Federico II University of Naples)

  • Luigi Guerriero

    (Federico II University of Naples)

  • Mariagiulia Annibali Corona

    (Federico II University of Naples)

  • Giuseppe Bausilio

    (Federico II University of Naples)

  • Diego Di Martire

    (Federico II University of Naples)

  • Stefania Nisio

    (ISPRA, Institute for Environmental Protection and Research)

  • Domenico Calcaterra

    (Federico II University of Naples)

Abstract

In recent years, the study of anthropogenic sinkholes in densely urbanized areas has attracted the attention of both researchers and land management entities. The city of Naples (Italy) has been frequently affected by processes generating such landforms in the last decades: for this reason, an update of the sinkhole inventory and a preliminary susceptibility estimation are proposed in this work. Starting from previous data, not modified since 2010, a total of 270 new events occurred in the period February 2010–June 2021 were collected through the examination of online newspapers, local daily reports, council chronicle news and field surveys. The final consistence of the updated inventory is of 458 events occurred between 1880 and 2021, distributed through time with an increasing trend in frequency. Spatial analysis of sinkholes indicates a concentration in the central sector of the city, corresponding to its ancient and historic centre, crossed by a dense network of underground tunnels and cavities. Cavity-roof collapse is confirmed as one of the potential genetic types, along with processes related to rainfall events and service lines damage. A clear correlation between monthly rainfall and the number of triggered sinkholes was identified. Finally, a preliminary sinkhole susceptibility assessment, carried out by Frequency Ratio method, confirms the central sector of city as that most susceptible to sinkholes and emphasizes the predisposing role of service lines, mostly in the outermost areas of the city.

Suggested Citation

  • Rita Tufano & Luigi Guerriero & Mariagiulia Annibali Corona & Giuseppe Bausilio & Diego Di Martire & Stefania Nisio & Domenico Calcaterra, 2022. "Anthropogenic sinkholes of the city of Naples, Italy: an update," 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. 112(3), pages 2577-2608, July.
  • Handle: RePEc:spr:nathaz:v:112:y:2022:i:3:d:10.1007_s11069-022-05279-x
    DOI: 10.1007/s11069-022-05279-x
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    References listed on IDEAS

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    1. Biswajeet Pradhan & Mohammed Abokharima & Mustafa Jebur & Mahyat Tehrany, 2014. "Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS," 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. 73(2), pages 1019-1042, September.
    2. Haji Karimi & Kamal Taheri, 2010. "Hazards and mechanism of sinkholes on Kabudar Ahang and Famenin plains of Hamadan, Iran," 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. 55(2), pages 481-499, November.
    3. Paolo Maria Guarino & Antonio Santo & Giovanni Forte & Melania De Falco & Daniela Maria Antonia Niceforo, 2018. "Analysis of a database for anthropogenic sinkhole triggering and zonation in the Naples hinterland (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. 91(1), pages 173-192, April.
    4. Kiyeon Kim & Joonyoung Kim & Tae-Young Kwak & Choong-Ki Chung, 2018. "Logistic regression model for sinkhole susceptibility due to damaged sewer pipes," 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. 93(2), pages 765-785, September.
    5. Stefano Vitale & Sabatino Ciarcia, 2018. "Tectono-stratigraphic setting of the Campania region (southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 14(2), pages 9-21, November.
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