IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v100y2020i2d10.1007_s11069-019-03830-x.html
   My bibliography  Save this article

How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering?

Author

Listed:
  • Stefano Luigi Gariano

    (CNR IRPI)

  • Massimo Melillo

    (CNR IRPI)

  • Silvia Peruccacci

    (CNR IRPI)

  • Maria Teresa Brunetti

    (CNR IRPI)

Abstract

In many areas of the world, the prediction of rainfall-induced landslides is usually carried out by means of empirical rainfall thresholds. Their definition is complicated by several issues, among which are the evaluation and quantification of diverse uncertainties resulting from data and methods. Threshold effectiveness and reliability strongly depend on the quality and quantity of rainfall measurements and landslide information used as input. In this work, the influence of the temporal resolution of rainfall measurements on the calculation of landslide-triggering rainfall thresholds is evaluated and discussed. For the purpose, hourly rainfall measurements collected by 172 rain gauges and geographical and temporal information on the occurrence of 561 rainfall-induced landslides in Liguria region (northern Italy) in the period 2004–2014 are used. To assess the impact of different temporal resolutions on the thresholds, rainfall measurements are clustered in increasing bins of 1, 3, 6, 12 and 24 h. A comprehensive tool is applied to each dataset to automatically reconstruct the rainfall conditions responsible for the failures and to calculate frequentist cumulated event rainfall–rainfall duration (ED) thresholds. Then, using a quantitative procedure, the calculated ED thresholds are validated. The main finding of the work is that the use of rainfall measurements with different temporal resolutions results in considerable variations of the shape and the validity range of the thresholds. Decreasing the rainfall temporal resolution, thresholds with smaller intercepts, higher slopes, shorter ranges of validity and higher uncertainties are obtained. On the other hand, it seems that the rainfall temporal resolution does not influence the validation procedure and the threshold performance indicators. Overall, the use of rainfall data with coarse temporal resolution causes a systematic underestimation of thresholds at short durations, resulting in relevant drawbacks (e.g. false alarms) if the thresholds are implemented in operational systems for landslide prediction.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:100:y:2020:i:2:d:10.1007_s11069-019-03830-x
    DOI: 10.1007/s11069-019-03830-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-019-03830-x
    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/s11069-019-03830-x?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. Dieu Tien Bui & Biswajeet Pradhan & Owe Lofman & Inge Revhaug & Øystein Dick, 2013. "Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam," 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. 66(2), pages 707-730, March.
    2. A. Sengupta & S. Gupta & K. Anbarasu, 2010. "Rainfall thresholds for the initiation of landslide at Lanta Khola in north Sikkim, India," 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. 52(1), pages 31-42, January.
    3. José Antonio Palenzuela & Jorge David Jiménez-Perálvarez & José Chacón & Clemente Irigaray, 2016. "Assessing critical rainfall thresholds for landslide triggering by generating additional information from a reduced database: an approach with examples from the Betic Cordillera (Spain)," 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. 84(1), pages 185-212, October.
    4. Francesco Marra, 2019. "Rainfall thresholds for landslide occurrence: systematic underestimation using coarse temporal resolution data," 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. 95(3), pages 883-890, February.
    5. Mateja Jemec & Marko Komac, 2013. "Rainfall patterns for shallow landsliding in perialpine Slovenia," 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. 67(3), pages 1011-1023, July.
    6. Pankaj Jaiswal & Cees Westen, 2013. "Use of quantitative landslide hazard and risk information for local disaster risk reduction along a transportation corridor: a case study from Nilgiri district, India," 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. 65(1), pages 887-913, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

    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. Jana Smolíková & Filip Hrbáček & Jan Blahůt & Jan Klimeš & Vít Vilímek & Juan Carlos Loaiza Usuga, 2021. "Analysis of the rainfall pattern triggering the Lemešná debris flow, Javorníky Range, the Czech Republic," 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 2353-2379, April.
    2. Min Lee & Kim Ng & Yuk Huang & Wei Li, 2014. "Rainfall-induced landslides in Hulu Kelang area, Malaysia," 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. 70(1), pages 353-375, January.
    3. Elias Garcia-Urquia, 2016. "Establishing rainfall frequency contour lines as thresholds for rainfall-induced landslides in Tegucigalpa, Honduras, 1980–2005," 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. 82(3), pages 2107-2132, July.
    4. Zhiheng Wang & Dongchuan Wang & Qiaozhen Guo & Daikun Wang, 2020. "Regional landslide hazard assessment through integrating susceptibility index and rainfall process," 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. 104(3), pages 2153-2173, December.
    5. Prodip Mandal & Shraban Sarkar, 2021. "Estimation of rainfall threshold for the early warning of shallow landslides along National Highway-10 in Darjeeling Himalayas," 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. 105(3), pages 2455-2480, February.
    6. Sandeep Kumar & Vikram Gupta, 2021. "Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun Himalaya, India," 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. 109(3), pages 2461-2488, December.
    7. Bambang H. Trisasongko & Dyah R. Panuju & Amy L. Griffin & David J. Paull, 2022. "Fully Polarimetric L-Band Synthetic Aperture Radar for the Estimation of Tree Girth as a Representative of Stand Productivity in Rubber Plantations," Geographies, MDPI, vol. 2(2), pages 1-13, March.
    8. Aminreza Neshat & Biswajeet Pradhan, 2015. "Risk assessment of groundwater pollution with a new methodological framework: application of Dempster–Shafer theory and 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. 78(3), pages 1565-1585, September.
    9. 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.
    10. Longxia Qian & Ren Zhang & Mei Hong & Hongrui Wang & Lizhi Yang, 2016. "A new multiple integral model for water shortage risk assessment and its application in Beijing, China," 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. 80(1), pages 43-67, January.
    11. Lorenzo Sangelantoni & Eleonora Gioia & Fausto Marincioni, 2018. "Impact of climate change on landslides frequency: the Esino river basin case study (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. 93(2), pages 849-884, September.
    12. Amanullah Mengal & Katsuichiro Goda & Muhammad Ashraf & Ghulam Murtaza, 2021. "Social vulnerability to seismic-tsunami hazards in district Gwadar, Balochistan, Pakistan," 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. 108(1), pages 1159-1181, August.
    13. Rajkumar Andrewwinner & Sembulichampalayam Sennimalai Chandrasekaran, 2021. "Investigation on the Failure Mechanism of Rainfall-Induced Long-Runout Landslide at Upputhode, Kerala State of India," Land, MDPI, vol. 10(11), pages 1-25, November.
    14. Chong Xu & Xiwei Xu & Fuchu Dai & Zhide Wu & Honglin He & Feng Shi & Xiyan Wu & Suning Xu, 2013. "Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China," 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. 68(2), pages 883-900, September.
    15. Amit Bera & Bhabani Prasad Mukhopadhyay & Debasish Das, 2019. "Landslide hazard zonation mapping using multi-criteria analysis with the help of GIS techniques: a case study from Eastern Himalayas, Namchi, South Sikkim," 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. 96(2), pages 935-959, March.
    16. Hyuck-Jin Park & Kang-Min Kim & In-Tak Hwang & Jung-Hyun Lee, 2022. "Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach," Sustainability, MDPI, vol. 14(5), pages 1-17, February.
    17. Dieu Tien Bui & Biswajeet Pradhan & Owe Lofman & Inge Revhaug & Øystein Dick, 2013. "Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam," 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. 66(2), pages 707-730, March.
    18. Atta-ur-Rahman & Amir Khan & Andrew Collins & Fareen Qazi, 2011. "Causes and extent of environmental impacts of landslide hazard in the Himalayan region: a case study of Murree, Pakistan," 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. 57(2), pages 413-434, May.
    19. Binh Thai Pham & Dieu Tien Bui & Indra Prakash & M. B. Dholakia, 2016. "Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using 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. 83(1), pages 97-127, August.
    20. Indrajit Chowdhuri & Subodh Chandra Pal & Rabin Chakrabortty & Sadhan Malik & Biswajit Das & Paramita Roy, 2021. "Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya," 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. 107(1), pages 697-722, May.

    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:100:y:2020:i:2:d:10.1007_s11069-019-03830-x. 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.