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Estimation of Daily Water Table Level with Bimonthly Measurements in Restored Ombrotrophic Peatland

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  • Sebastian Gutierrez Pacheco

    (Faculté des Sciences de L’agriculture et de L’alimentation, Université Laval, Québec City, QC G1V 0A6, Canada
    CentrEau-Water Research Center, Université Laval, Quebec City, QC G1V 0A6, Canada
    Centre for Northern Studies, Université Laval, Quebec City, QC G1V 0A6, Canada
    Institut de Recherche et de Développement en Agroenvironnement, Quebec City, QC G1P 3W8, Canada)

  • Robert Lagacé

    (Faculté des Sciences de L’agriculture et de L’alimentation, Université Laval, Québec City, QC G1V 0A6, Canada
    CentrEau-Water Research Center, Université Laval, Quebec City, QC G1V 0A6, Canada)

  • Sandrine Hugron

    (Faculté des Sciences de L’agriculture et de L’alimentation, Université Laval, Québec City, QC G1V 0A6, Canada
    Centre for Northern Studies, Université Laval, Quebec City, QC G1V 0A6, Canada)

  • Stéphane Godbout

    (Institut de Recherche et de Développement en Agroenvironnement, Quebec City, QC G1P 3W8, Canada)

  • Line Rochefort

    (Faculté des Sciences de L’agriculture et de L’alimentation, Université Laval, Québec City, QC G1V 0A6, Canada
    Centre for Northern Studies, Université Laval, Quebec City, QC G1V 0A6, Canada)

Abstract

Daily measurements of the water table depth are sometimes needed to evaluate the influence of seasonal water stress on Sphagnum recolonization in restored ombrotrophic peatlands. However, continuous water table measurements are often scarce due to high costs and, as a result, water table depth is more commonly measured manually bimonthly with daily logs in few reference wells. A literature review identified six potential methods to estimate daily water table depth with bimonthly records and daily measurements from a reference well. A new estimation method based on the time series decomposition (TSD) is also presented. TSD and the six identified methods were compared with the water table records of an experimental peatland site with controlled water table regime located in Eastern Canada. The TSD method was the best performing method (R 2 = 0.95, RMSE = 2.48 cm and the lowest AIC), followed by the general linear method (R 2 = 0.92, RMSE = 3.10 cm) and support vector machines method (R 2 = 0.91, RMSE = 3.24 cm). To estimate daily values, the TSD method, like the six traditional methods, requires daily data from a reference well. However, the TSD method does not require training nor parameter estimation. For the TSD method, changing the measurement frequency to weekly measurements decreases the RMSE by 16% (2.08 cm); monthly measurements increase the RMSE by 13% (2.80 cm).

Suggested Citation

  • Sebastian Gutierrez Pacheco & Robert Lagacé & Sandrine Hugron & Stéphane Godbout & Line Rochefort, 2021. "Estimation of Daily Water Table Level with Bimonthly Measurements in Restored Ombrotrophic Peatland," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5474-:d:554160
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    References listed on IDEAS

    as
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    2. Brédy, Jhemson & Gallichand, Jacques & Celicourt, Paul & Gumiere, Silvio José, 2020. "Water table depth forecasting in cranberry fields using two decision-tree-modeling approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    3. Sheelabhadra Mohanty & Madan Jha & Ashwani Kumar & K. Sudheer, 2010. "Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(9), pages 1845-1865, July.
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