IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v111y2022i3d10.1007_s11069-021-05133-6.html
   My bibliography  Save this article

Determination of rainfall data for direct runoff prediction in monsoon region: a case study in the Upper Yom basin, Thailand

Author

Listed:
  • Pawee Klongvessa

    (Kasetsart University)

  • Srilert Chotpantarat

    (Chulalongkorn University
    Research Unit Control of Emerging Micropollutants in Environment, Chulalongkorn University)

Abstract

In a monsoon region, flooding is usually caused by heavy rainfall events in conjunction with saturated soil. A hydrograph in the wet season consists of multiple flood waves from periods of direct runoff lying on a wave of seasonal baseflow from groundwater. This study determined which rainfall duration and occurrence time were most correlated with direct runoff in the Upper Yom basin, Thailand. First, correlation coefficients (CCs) between basin discharge and rainfall under various durations throughout wet seasons during 2009–2018 were calculated. The discharges were correlated with 48 h rainfall ending 12 h before. However, the CCs were not very good (0.35–0.60, except in 2011). Therefore, the CCs only during saturated soil periods were calculated and this produced better results (0.50–0.79). Next, the baseflow was removed from the basin discharge to determine the direct runoff. The CCs between direct runoff and rainfall were even better (0.59–0.83). Therefore, after the removal of the unsaturated soil period and the baseflow, the direct runoff could be predicted from the 48 h rainfall that began 60 h before and ended 12 h before. This duration was associated with basin characteristics and overall spatial distribution pattern of rainfall.

Suggested Citation

  • Pawee Klongvessa & Srilert Chotpantarat, 2022. "Determination of rainfall data for direct runoff prediction in monsoon region: a case study in the Upper Yom basin, Thailand," 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. 111(3), pages 2193-2218, April.
    • Handle: RePEc:spr:nathaz:v:111:y:2022:i:3:d:10.1007_s11069-021-05133-6
    DOI: 10.1007/s11069-021-05133-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-05133-6
    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/s11069-021-05133-6?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. Maxx Dilley & Robert S. Chen & Uwe Deichmann & Arthur L. Lerner-Lam & Margaret Arnold, 2005. "Natural Disaster Hotspots: A Global Risk Analysis," World Bank Publications - Books, The World Bank Group, number 7376.
    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. Xiaobing Yu & Hong Chen & Chenliang Li, 2019. "Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA," IJERPH, MDPI, vol. 16(9), pages 1-10, May.
    2. Nicolás Bronfman & Pamela Cisternas & Esperanza López-Vázquez & Luis Cifuentes, 2016. "Trust and risk perception of natural hazards: implications for risk preparedness in Chile," 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. 81(1), pages 307-327, March.
    3. Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method," 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. 64(2), pages 1575-1586, November.
    4. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
    5. Aubin VIGNOBOUL, 2022. "The winds of inequalities: How hurricanes impact inequalities at the macro level?," LEO Working Papers / DR LEO 2986, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    6. Jun Wang & Zhenlou Chen & Shiyuan Xu & Beibei Hu, 2013. "Medium-scale natural disaster risk scenario analysis: a case study of Pingyang County, Wenzhou, 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. 66(2), pages 1205-1220, March.
    7. Tsegaye Tadesse & Menghestab Haile & Gabriel Senay & Brian D. Wardlow & Cody L. Knutson, 2008. "The need for integration of drought monitoring tools for proactive food security management in sub‐Saharan Africa," Natural Resources Forum, Blackwell Publishing, vol. 32(4), pages 265-279, November.
    8. Jolanta Kryspin-Watson & John Pollner & Sonja Nieuwejaar, 2008. "Climate Change Adaptation in Europe and Central Asia," World Bank Publications - Reports 25985, The World Bank Group.
    9. Fatemeh Jalayer & Raffaele Risi & Francesco Paola & Maurizio Giugni & Gaetano Manfredi & Paolo Gasparini & Maria Topa & Nebyou Yonas & Kumelachew Yeshitela & Alemu Nebebe & Gina Cavan & Sarah Lindley , 2014. "Probabilistic GIS-based method for delineation of urban flooding risk hotspots," 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 975-1001, September.
    10. Faraz S. Tehrani & Michele Calvello & Zhongqiang Liu & Limin Zhang & Suzanne Lacasse, 2022. "Machine learning and landslide studies: recent advances and applications," 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(2), pages 1197-1245, November.
    11. Nisar Ali Shah & Muhammad Shafique & Muhammad Ishfaq & Kamil Faisal & Mark Van der Meijde, 2023. "Integrated Approach for Landslide Risk Assessment Using Geoinformation Tools and Field Data in Hindukush Mountain Ranges, Northern Pakistan," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    12. Thilini Mahanama & Abootaleb Shirvani & Svetlozar Rachev, 2022. "A Natural Disasters Index," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 263-284, April.
    13. Stefan Kienberger & Thomas Blaschke & Rukhe Zaidi, 2013. "A framework for spatio-temporal scales and concepts from different disciplines: the ‘vulnerability cube’," 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(3), pages 1343-1369, September.
    14. Mohammed M. Al-Humaiqani & Sami G. Al-Ghamdi, 2023. "Assessing the Built Environment’s Reflectivity, Flexibility, Resourcefulness, and Rapidity Resilience Qualities against Climate Change Impacts from the Perspective of Different Stakeholders," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
    15. Chia-Lee Yang & Benjamin J. C. Yuan & Chi-Yo Huang, 2015. "Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method," Sustainability, MDPI, vol. 7(5), pages 1-40, May.
    16. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," 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(3), pages 1605-1634, September.
    17. Yong SHI, 2018. "Assessment of Agricultural Vulnerability to Floods in Shanghai by the DEA Method," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-11, March.
    18. Octavio Rojas & María Mardones & Carolina Martínez & Luis Flores & Katia Sáez & Alberto Araneda, 2018. "Flooding in Central Chile: Implications of Tides and Sea Level Increase in the 21st Century," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    19. Zijun Qie & Lili Rong, 2017. "An integrated relative risk assessment model for urban disaster loss in view of disaster system theory," 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. 88(1), pages 165-190, August.
    20. Abdoulaye Sy & Catherine Araujo-Bonjean & Marie-Eliette Dury & Nourddine Azzaoui & Arnaud Guillin, 2021. "An Extreme Value Mixture model to assess drought hazard in West Africa," Working Papers hal-03297023, HAL.

    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:111:y:2022:i:3:d:10.1007_s11069-021-05133-6. 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.