IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v90y2018i2d10.1007_s11069-017-3081-2.html
   My bibliography  Save this article

Deriving the rainfall threshold for shallow landslide early warning during tropical cyclones: a case study in northern Philippines

Author

Listed:
  • Dymphna Nolasco-Javier

    (University of New England
    University of the Philippines)

  • Lalit Kumar

    (University of New England)

Abstract

Rainfall-induced landslides (RILs) have been a source of social and economic disruption in the mountainous Baguio area in northern Philippines. Prolonged heavy rainfall usually happens during tropical cyclone and southwest monsoon activity. A pragmatic approach to RIL mitigation is to develop rainfall-based early warning. We implemented a modified regression method to derive the empirical minimum intensity (I)–duration (D) threshold I = 6.46 D −0.28 and a normalized ID threshold NI = 0.002 D −0.28 for rainfall duration ranging between 24 and 264 h. Using a separate data set to evaluate the applicability of the threshold, 93% of the landslide-triggering rainfall events fell above the derived threshold. RILs also occurred when 24-h rainfall was 0.02–28% of the mean annual precipitation or after accumulating at least 500 mm of rainfall from the onset of the rainy season. The thresholds may be further refined as more landslide data become available in the future.

Suggested Citation

  • Dymphna Nolasco-Javier & Lalit Kumar, 2018. "Deriving the rainfall threshold for shallow landslide early warning during tropical cyclones: a case study in northern Philippines," 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. 90(2), pages 921-941, January.
  • Handle: RePEc:spr:nathaz:v:90:y:2018:i:2:d:10.1007_s11069-017-3081-2
    DOI: 10.1007/s11069-017-3081-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-017-3081-2
    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/s11069-017-3081-2?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. 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.
    2. Dymphna Nolasco-Javier & Lalit Kumar & Arlene Tengonciang, 2015. "Rapid appraisal of rainfall threshold and selected landslides in Baguio, Philippines," 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 1587-1607, September.
    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. Dino Collalti & Eric Strobl, 2022. "Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica," 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(3), pages 2059-2086, February.
    2. Bequet, Ludovic, 2020. "Biotech Crops, Input Use and Landslides: The case of Genetically Modified Corn in the Philippine Highlands," MPRA Paper 98225, University Library of Munich, Germany.

    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. Laura Sanchez-Castillo & Tetsuya Kubota & Israel Cantú-Silva & Toshiyuki Moriyama & Hasnawir, 2017. "A probability method of rainfall warning for sediment-related disaster in developing countries: a case study in Sierra Madre Oriental, Mexico," 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. 85(3), pages 1893-1906, February.
    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. 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. A. Rosi & D. Lagomarsino & G. Rossi & S. Segoni & A. Battistini & N. Casagli, 2015. "Updating EWS rainfall thresholds for the triggering of 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. 78(1), pages 297-308, August.
    5. Sangseom Jeong & Azman Kassim & Moonhyun Hong & Nader Saadatkhah, 2018. "Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    6. 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.
    7. Ikuo Towhata & Satoshi Goto & Shigeru Goto & Takeshi Akima & Junya Tanaka & Taro Uchimura & Gonghui Wang & Hiroshi Yamaguchi & Shogo Aoyama, 2021. "Mechanism and future risk of slope instability induced by extreme rainfall event in Izu Oshima Island, Japan," 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(1), pages 501-530, January.
    8. Zhilu Chang & Huanxiang Gao & Faming Huang & Jiawu Chen & Jinsong Huang & Zizheng Guo, 2020. "Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction," 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. 103(1), pages 1479-1497, August.
    9. Dino Collalti & Eric Strobl, 2022. "Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica," 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(3), pages 2059-2086, February.

    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:90:y:2018:i:2:d:10.1007_s11069-017-3081-2. 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.