IDEAS home Printed from https://ideas.repec.org/a/caa/jnlswr/v11y2016i4id156-2015-swr.html
   My bibliography  Save this article

Influence of rainfall data on the uncertainty of flood simulation

Author

Listed:
  • Andrzej WALEGA

    (Department of Sanitary Engineering and Water Management and)

  • Leszek KSIAZEK

    (Department of Water Management and Geotechnics, University of Agriculture in Krakow, Krakow, Poland)

Abstract

The aim of this paper was to determine the influence of factors related to rainfall data on the uncertainty flood simulation. The calculations were based on a synthetic unit hydrograph NRCS-UH. Simulation uncertainty was determined by means of GLUE method. The calculations showed that in the case of a catchment with limited meteorological data, it is better to use rainfall data from a single station located within the catchment, than to take into account the data from higher number of stations, but located outside the catchment area. The parameters of the NRCS-UH model (curve number and initial abstraction) were found to be less variable when the input contained rainfall data from a single rainfall station. It was also manifested by a lower uncertainty of the simulation results for the variant with one rainfall station, as compared to the variant based on the use of averaged rainfall in the catchment.

Suggested Citation

  • Andrzej WALEGA & Leszek KSIAZEK, 2016. "Influence of rainfall data on the uncertainty of flood simulation," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(4), pages 277-284.
    • Handle: RePEc:caa:jnlswr:v:11:y:2016:i:4:id:156-2015-swr
    DOI: 10.17221/156/2015-SWR
    as

    Download full text from publisher

    File URL: http://swr.agriculturejournals.cz/doi/10.17221/156/2015-SWR.html
    Download Restriction: free of charge
    File URL: http://swr.agriculturejournals.cz/doi/10.17221/156/2015-SWR.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/156/2015-SWR?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. Xi Chen & Tao Yang & Xiaoyan Wang & Chong-Yu Xu & Zhongbo Yu, 2013. "Uncertainty Intercomparison of Different Hydrological Models in Simulating Extreme Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1393-1409, March.
    2. Pavel Kovář & Michaela Hrabalíková & Martin Neruda & Roman Neruda & Jan Šrejber & Andrea Jelínková & Hana Bačinová, 2015. "Choosing an appropriate hydrological model for rainfall-runoff extremes in small catchments," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(3), pages 137-146.
    3. Simon Wu & Jonathan Li & G. Huang, 2008. "Characterization and Evaluation of Elevation Data Uncertainty in Water Resources Modeling with GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(8), pages 959-972, August.
    4. Jairo Diaz-Ramirez & William McAnally & James Martin, 2012. "Sensitivity of Simulating Hydrologic Processes to Gauge and Radar Rainfall Data in Subtropical Coastal Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3515-3538, September.
    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. Xi Chen & Tao Yang & Xiaoyan Wang & Chong-Yu Xu & Zhongbo Yu, 2013. "Uncertainty Intercomparison of Different Hydrological Models in Simulating Extreme Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1393-1409, March.
    2. 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.
    3. Chuan Luo & Zhaofu Li & Hengpeng Li & Xiaomin Chen, 2015. "Evaluation of the AnnAGNPS Model for Predicting Runoff and Nutrient Export in a Typical Small Watershed in the Hilly Region of Taihu Lake," IJERPH, MDPI, vol. 12(9), pages 1-19, September.
    4. B. Yan & X. Su & Y. Chen, 2009. "Functional Structure and Data Management of Urban Water Supply Network Based on GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2633-2653, October.
    5. Rostislav Fiala & Jana Podhrázská & Jana Konečná & Josef Kučera & Petr Karásek & Pavel Zahradníček & Petr Štěpánek, 2020. "Changes in a river's regime of a watercourse after a small water reservoir construction," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 15(1), pages 55-65.
    6. C. Sharma & A. Mishra & S. Panda, 2014. "Assessing Impact of Flood on River Dynamics and Susceptible Regions: Geomorphometric Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2615-2638, July.
    7. Anand Verdhen & Bhagu Chahar & Om Sharma, 2014. "Snowmelt Modelling Approaches in Watershed Models: Computation and Comparison of Efficiencies under Varying Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3439-3453, September.
    8. P. Guo & G. Huang & L. He & H. Zhu, 2009. "Interval-parameter Two-stage Stochastic Semi-infinite Programming: Application to Water Resources Management under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 1001-1023, March.
    9. Pao-Shan Yu & Tao-Chang Yang & Chen-Min Kuo & Yi-Tai Wang, 2014. "A Stochastic Approach for Seasonal Water-Shortage Probability Forecasting Based on Seasonal Weather Outlook," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3905-3920, September.
    10. Zhaofu Li & Chuan Luo & Kaixia Jiang & Rongrong Wan & Hengpeng Li, 2017. "Comprehensive Performance Evaluation for Hydrological and Nutrients Simulation Using the Hydrological Simulation Program–Fortran in a Mesoscale Monsoon Watershed, China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    11. F. F. Hattermann & V. Krysanova & S. N. Gosling & R. Dankers & P. Daggupati & C. Donnelly & M. Flörke & S. Huang & Y. Motovilov & S. Buda & T. Yang & C. Müller & G. Leng & Q. Tang & F. T. Portmann & S, 2017. "Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins," Climatic Change, Springer, vol. 141(3), pages 561-576, April.
    12. Ismail Chenini & Abdallah Mammou & Moufida El May, 2010. "Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 921-939, March.
    13. Wei Li & Jianzhong Zhou & Huaiwei Sun & Kuaile Feng & Hairong Zhang & Muhammad Tayyab, 2017. "Impact of Distribution Type in Bayes Probability Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 961-977, February.
    14. Hadush Meresa & Yongqiang Zhang, 2021. "Contrasting Uncertainties in Estimating Floods and Low Flow Extremes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1775-1795, April.
    15. Xiaoyan Wang & Tao Yang & Michel Wortmann & Pengfei Shi & Fred Hattermann & Anastasia Lobanova & Valentin Aich, 2017. "Analysis of multi-dimensional hydrological alterations under climate change for four major river basins in different climate zones," Climatic Change, Springer, vol. 141(3), pages 483-498, April.
    16. 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.
    17. Yuyin Liang & Shuguang Liu & Yiping Guo & Hong Hua, 2017. "L-Moment-Based Regional Frequency Analysis of Annual Extreme Precipitation and its Uncertainty Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3899-3919, September.
    18. Wei Li & Jianzhong Zhou & Lu Chen & Kuaile Feng & Hairong Zhang & Changqing Meng & Na Sun, 2019. "Upper and Lower Bound Interval Forecasting Methodology Based on Ideal Boundary and Multiple Linear Regression Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1203-1215, February.
    19. Saeed Golian & Bahram Saghafian & Reza Maknoon, 2010. "Derivation of Probabilistic Thresholds of Spatially Distributed Rainfall for Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3547-3559, October.
    20. Simon Deslauriers & Tew-Fik Mahdi, 2018. "Flood modelling improvement using automatic calibration of two dimensional river software SRH-2D," 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(2), pages 697-715, March.

    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:caa:jnlswr:v:11:y:2016:i:4:id:156-2015-swr. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.