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Uncertainties in the Methods of Flood Discharge Measurement

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  • Yen-Chang Chen
  • Yung-Chia Hsu
  • Kuang-Ting Kuo

Abstract

This study demonstrates an application of uncertainty analysis in evaluating methods of discharge measurement including: the velocity-area, rating curve and efficient methods based on the probabilistic velocity distribution equation. The measurement of river discharge plays a large part in the distribution of water resources. The conventional methods of discharge measurement are costly, time-consuming, and dangerous. Therefore the efficient method of discharge measurement which bases on the relationship between maximum and mean velocities being constant was employed to justify its alternative for the conventional methods: velocity-area and rating curve methods. Distribution test was applied to investigate the statistical properties of the uncertainties involved in the three methods of discharge measurement. Latin hypercube sampling (LHS) method was employed accordingly to assess the discharge features of the three methods of discharge measurement. The main purpose of this study is to quantify the uncertainty involved in several discharge measurement methods and justify the availability and reliability of using the efficient method as an alternative of the conventional methods. Results show that the correlation analysis also validates that the efficient method is a more reliable method than the rating curve method to yield accurate discharge measurements. Moreover, it also yielded comparably accurate measurements as those by the velocity-area method. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Yen-Chang Chen & Yung-Chia Hsu & Kuang-Ting Kuo, 2013. "Uncertainties in the Methods of Flood Discharge Measurement," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 153-167, January.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:1:p:153-167
    DOI: 10.1007/s11269-012-0174-2
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    References listed on IDEAS

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    1. Yung‐Chia Hsu & Serge Rohmer, 2010. "Probabilistic Assessment of Industrial Synergistic Systems," Journal of Industrial Ecology, Yale University, vol. 14(4), pages 558-575, August.
    2. Woo Lee & Kil Lee & Sang Kim & Eun-Sung Chung, 2010. "The Development of Rating Curve Considering Variance Function Using Pseudo-likelihood Estimation Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(2), pages 321-348, January.
    3. Chandrasekaran Sivapragasam & Nitin Muttil, 2005. "Discharge Rating Curve Extension – A New Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 505-520, October.
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    Cited by:

    1. Guangming Yu & Sa Wang & Qiwu Yu & Lei Wu & Yong Fan & Xiaoli He & Xia Zhou & Huanhuan Jia & Shu Zhang & Xiaojuan Tian, 2014. "The Regional Limit of Flood-Bearing Capability: A Theoretical Model and Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1921-1936, May.
    2. Saritha Padiyedath Gopalan & Akira Kawamura & Hideo Amaguchi & Gubash Azhikodan, 2020. "A Generalized Storage Function Model for the Water Level Estimation Using Rating Curve Relationship," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2603-2619, June.

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