IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v31y2017i4d10.1007_s11269-017-1573-1.html
   My bibliography  Save this article

Reducing False Flood Warnings of TRMM Rain Rates Thresholds over Riyadh City, Saudi Arabia by Utilizing AMSR-E Soil Moisture Information

Author

Listed:
  • Ahmet Emre Tekeli

    (Çankırı Karatekin University)

  • Hesham Fouli

    (King Saud University)

Abstract

Rainfall rates and soil moisture content have been recognized as the most critical parameters in flood forecasts; the former known as forcing and the latter as the state variable. The main objective of this article is the incorporation of antecedent soil moisture information to reduce false flood warnings over Riyadh City, Saudi Arabia. The forcing variable was obtained from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) Real Time (RT) data (3B42RT). Soil moisture (SM) information was obtained from Advanced Microwave Scanning Radiometer (AMSR-E) as the state variable. Long time series SM information (2002–2011) provided Cumulative Distribution Function (CDF) of SM. CDF with 90% was taken as the SM threshold value. Flooding is indicated for rainy dates exceeding the rain thresholds with the previous satellite overpass SM being greater than 90% CDF of the respective month. The methodology removed the false flood warnings substantially when compared to the flood warnings where SM information was absent. The method is robust and simple, and it can be applied on TRMM and AMSR-E follow on missions; like Global Precipitation Measurement (GPM) and Soil Moisture Active Passive (SMAP).

Suggested Citation

  • Ahmet Emre Tekeli & Hesham Fouli, 2017. "Reducing False Flood Warnings of TRMM Rain Rates Thresholds over Riyadh City, Saudi Arabia by Utilizing AMSR-E Soil Moisture Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1243-1256, March.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:4:d:10.1007_s11269-017-1573-1
    DOI: 10.1007/s11269-017-1573-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-017-1573-1
    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/s11269-017-1573-1?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. Yang Hong & Robert Adler & Andrew Negri & George Huffman, 2007. "Flood and landslide applications of near real-time satellite rainfall products," 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. 43(2), pages 285-294, November.
    2. Mustafa Tombul, 2007. "Mapping Field Surface Soil Moisture for Hydrological Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(11), pages 1865-1880, November.
    3. S. K. Mishra & M. K. Jain & V. P. Singh, 2004. "Evaluation of the SCS-CN-Based Model Incorporating Antecedent Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(6), pages 567-589, December.
    4. Gokmen Tayfur & Luca Brocca, 2015. "Fuzzy Logic for Rainfall-Runoff Modelling Considering Soil Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3519-3533, August.
    5. Lu Zhuo & Dawei Han & Qiang Dai & Tanvir Islam & Prashant Srivastava, 2015. "Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3503-3517, August.
    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. Lu Zhuo & Dawei Han & Qiang Dai & Tanvir Islam & Prashant Srivastava, 2015. "Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3503-3517, August.
    2. Prashant K. Srivastava, 2017. "Satellite Soil Moisture: Review of Theory and Applications in Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3161-3176, August.
    3. Nayara P. V. Andrade & Marcelo R. Viola & Samuel Beskow & Tamara L. Caldeira & Li Guo & Carlos R. Mello, 2020. "Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 5031-5046, December.
    4. Woo Han & Steven Burian & J. Shepherd, 2011. "Assessment of satellite-based rainfall estimates in urban areas in different geographic and climatic regions," 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. 56(3), pages 733-747, March.
    5. Gabriela Werren & Emmanuel Reynard & Stuart Lane & Daniela Balin, 2016. "Flood hazard assessment and mapping in semi-arid piedmont areas: a case study in Beni Mellal, Morocco," 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 481-511, March.
    6. Solmaz Fathololoumi & Ali Reza Vaezi & Seyed Kazem Alavipanah & Ardavan Ghorbani & Mohammad Karimi Firozjaei & Asim Biswas, 2023. "Improving Runoff Prediction Accuracy in a Mountainous Watershed Using a Remote Sensing-Based Approach," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    7. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    8. Richard Petritsch & Hubert Hasenauer, 2014. "Climate input parameters for real-time online risk assessment," 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(3), pages 1749-1762, February.
    9. Vijay P. Santikari & Lawrence C. Murdoch, 2019. "Accounting for Spatiotemporal Variations of Curve Number Using Variable Initial Abstraction and Antecedent Moisture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 641-656, January.
    10. Renato Morbidelli & Corrado Corradini & Carla Saltalippi & Luca Brocca, 2012. "Initial Soil Water Content as Input to Field-Scale Infiltration and Surface Runoff Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1793-1807, May.
    11. Jung, Jae-Woon & Yoon, Kwang-Sik & Choi, Dong-Ho & Lim, Sang-Sun & Choi, Woo-Jung & Choi, Soo-Myung & Lim, Byung-Jin, 2012. "Water management practices and SCS curve numbers of paddy fields equipped with surface drainage pipes," Agricultural Water Management, Elsevier, vol. 110(C), pages 78-83.
    12. Rajeev Ranjan & Pankaj R. Dhote & Praveen K. Thakur & Shiv P. Aggarwal, 2022. "Investigation of basin characteristics: Implications for sub-basin-level vulnerability to flood peak generation," 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 2797-2829, July.
    13. Senayi Dönmez & Ahmet Emre Tekeli, 2017. "Comparison of TRMM-based flood indices for Gaziantep, Turkey," 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(2), pages 821-834, September.
    14. Jinjin Gu & Mo Li & Ping Guo & Guohe Huang, 2016. "Risk Assessment for Ecological Planning of Arid Inland River Basins Under Hydrological and Management Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1415-1431, March.
    15. Riya Dutta & Rajib Maity & Parul Patel, 2022. "Short and Medium Range Forecast of Soil Moisture for the Different Climatic Regions of India Using Temporal Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 235-251, January.
    16. Ekrem Canli & Bernd Loigge & Thomas Glade, 2018. "Spatially distributed rainfall information and its potential for regional landslide early warning systems," 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 103-127, April.
    17. Muhammad Ajmal & Jae-Hyun Ahn & Tae-Woong Kim, 2016. "Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1433-1448, March.
    18. Gabriela Werren & Emmanuel Reynard & Stuart N. Lane & Daniela Balin, 2016. "Flood hazard assessment and mapping in semi-arid piedmont areas: a case study in Beni Mellal, Morocco," 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 481-511, March.
    19. Reshmidevi, T.V. & Jana, R. & Eldho, T.I., 2008. "Geospatial estimation of soil moisture in rain-fed paddy fields using SCS-CN-based model," Agricultural Water Management, Elsevier, vol. 95(4), pages 447-457, April.
    20. Edyta Kruk & Wioletta Fudała, 2021. "Concept of Soil Moisture Ratio for Determining the Spatial Distribution of Soil Moisture Using Physiographic Parameters of a Basin and Artificial Neural Networks (ANNs)," Land, MDPI, vol. 10(7), pages 1-13, July.

    More about this item

    Keywords

    Flash floods; TRMM; 3B42RT; AMSRE; Soil moisture; Saudi Arabia; GPM; SMAP;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    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:waterr:v:31:y:2017:i:4:d:10.1007_s11269-017-1573-1. 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.