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Comparison of Record-Extension Techniques for Water Quality Variables

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  • Bahaa Khalil
  • Taha Ouarda
  • André St-Hilaire

Abstract

The extension of records at monthly, weekly or daily time steps at a short-record gauge from another continuously measured gauge is termed “record extension”. Ordinary least squares regression (OLS) of the flows, or any hydrological or water quality variable, is a traditional and still common record-extension technique. However, its purpose is to generate optimal estimates of each daily (or monthly) record, rather than the population characteristics, for which the OLS tends to underestimate the variance. The line of organic correlation (LOC) was developed to correct this bias. On the other hand, the Kendall-Theil robust line (KTRL) method has been proposed as an analogue of OLS, its advantage being its robustness in the presence of extreme values. In this study, four record-extension techniques are described, and their properties are explored. These techniques are OLS, LOC, KTRL and a new technique (KTRL2), which includes the advantage of LOC in reducing the bias in estimating the variance and the advantage of KTRL in being robust in the presence of extreme values. A Monte-Carlo study is conducted to examine these four techniques for bias, standard error of moment estimates and full range of percentiles. An empirical examination is made of the preservation of historic water quality concentration characteristics using records from the Nile Delta water quality monitoring network in Egypt. The Monte-Carlo study showed that the OLS and KTRL techniques are shown to have serious deficiencies as record-extension techniques, while the LOC and KTRL2 techniques show results that are nearly similar. Using real water quality records, the KTRL2 is shown to lead to better results than the other techniques. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Bahaa Khalil & Taha Ouarda & André St-Hilaire, 2012. "Comparison of Record-Extension Techniques for Water Quality Variables," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4259-4280, November.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:14:p:4259-4280
    DOI: 10.1007/s11269-012-0143-9
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    References listed on IDEAS

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    1. Ozgur Kisi, 2011. "Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 579-600, January.
    2. Elizabeth Wentz & Patricia Gober, 2007. "Determinants of Small-Area Water Consumption for the City of Phoenix, Arizona," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(11), pages 1849-1863, November.
    3. Salvatore Campisi-Pinto & Jan Adamowski & Gideon Oron, 2012. "Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3539-3558, September.
    4. Tayeb Raziei & Bahram Saghafian & Ana Paulo & Luis Pereira & Isabella Bordi, 2009. "Spatial Patterns and Temporal Variability of Drought in Western Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 439-455, February.
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    1. Jenq-Tzong Shiau & Hui-Ting Hsu, 2016. "Suitability of ANN-Based Daily Streamflow Extension Models: a Case Study of Gaoping River Basin, Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1499-1513, March.
    2. Bahaa Khali & Jan Adamowski, 2014. "Evaluation of the Performance of Eight Record-Extension Techniques Under Different Levels of Association, Presence of Outliers and Different Sizes of Concurrent Records: A Monte Carlo Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5139-5155, November.
    3. Jenq-Tzong Shiau & Hui-Ting Hsu, 2016. "Suitability of ANN-Based Daily Streamflow Extension Models: a Case Study of Gaoping River Basin, Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1499-1513, March.

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