Improved Vertical Streambed Flux Estimation Using Multiple Diurnal Temperature Methods in Series

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• 作者：by D. J. Irvine ; M. A. Briggs ; I. Cartwright ; C. R. Scruggs and L. K. Lautz
• 刊名：Groundwater
• 出版年：2017
• 出版时间：January/February 2017
• 年：2017
• 卷：55
• 期：1
• 页码：73-80
• 全文大小：1397K
• ISSN：1745-6584

文摘

Analytical solutions that use diurnal temperature signals to estimate vertical fluxes between groundwater and surface water based on either amplitude ratios (A_r) or phase shifts (Δϕ) produce results that rarely agree. Analytical solutions that simultaneously utilize A_r and Δϕ within a single solution have more recently been derived, decreasing uncertainty in flux estimates in some applications. Benefits of combined (A_rΔϕ) methods also include that thermal diffusivity and sensor spacing can be calculated. However, poor identification of either A_r or Δϕ from raw temperature signals can lead to erratic parameter estimates from A_rΔϕ methods. An add-on program for VFLUX 2 is presented to address this issue. Using thermal diffusivity selected from an A_rΔϕ method during a reliable time period, fluxes are recalculated using an A_r method. This approach maximizes the benefits of the A_r and A_rΔϕ methods. Additionally, sensor spacing calculations can be used to identify periods with unreliable flux estimates, or to assess streambed scour. Using synthetic and field examples, the use of these solutions in series was particularly useful for gaining conditions where fluxes exceeded 1 m/d.