TY - JOUR
T1 - High resolution mapping of hyporheic fluxes using streambed temperatures
T2 - Recommendations and limitations
AU - Irvine, Dylan J.
AU - Lautz, Laura K.
PY - 2015/5/1
Y1 - 2015/5/1
N2 - Analytical solutions to the 1D heat transport equation can be used to derive point measurements of flux between surface water and groundwater from streambed temperature time series. Recent studies have used empirical relationships between measured flux and point-in-time observations of streambed temperatures to produce detailed plan view maps of flux from instantaneous temperature maps. Here, the accuracy of such flux maps, derived using streambed temperatures as a quantitative proxy, was assessed from synthetic streambed temperature data generated by numerical flow and transport simulations. The use of numerical simulations is advantageous because maps of flux from the temperature proxy method can be compared to known flux maps to quantify error. Empirical flux-temperature relationships are most accurate if developed from data collected when stream temperatures are at a maximum. The true relationship between flux and streambed temperature will generally be non-linear and well approximated as a cubic function, although linear relationships may be applied when data density is low. Intermediate fluxes (±1.0. m/day) returned by the temperature proxy method have errors typically less than ±0.1. m/day. Errors in estimated flux increase for strong upwelling (>1.0. m/day) or downwelling (<-1.0. m/day), although the direction of flux is still accurate.
AB - Analytical solutions to the 1D heat transport equation can be used to derive point measurements of flux between surface water and groundwater from streambed temperature time series. Recent studies have used empirical relationships between measured flux and point-in-time observations of streambed temperatures to produce detailed plan view maps of flux from instantaneous temperature maps. Here, the accuracy of such flux maps, derived using streambed temperatures as a quantitative proxy, was assessed from synthetic streambed temperature data generated by numerical flow and transport simulations. The use of numerical simulations is advantageous because maps of flux from the temperature proxy method can be compared to known flux maps to quantify error. Empirical flux-temperature relationships are most accurate if developed from data collected when stream temperatures are at a maximum. The true relationship between flux and streambed temperature will generally be non-linear and well approximated as a cubic function, although linear relationships may be applied when data density is low. Intermediate fluxes (±1.0. m/day) returned by the temperature proxy method have errors typically less than ±0.1. m/day. Errors in estimated flux increase for strong upwelling (>1.0. m/day) or downwelling (<-1.0. m/day), although the direction of flux is still accurate.
KW - Heat tracing
KW - Heterogeneity
KW - Hyporheic zone
KW - Numerical modeling
KW - Surface water-groundwater interaction
UR - http://www.scopus.com/inward/record.url?scp=84924117247&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2015.02.030
DO - 10.1016/j.jhydrol.2015.02.030
M3 - Article
AN - SCOPUS:84924117247
SN - 0022-1694
VL - 524
SP - 137
EP - 146
JO - Journal of Hydrology
JF - Journal of Hydrology
ER -