caa a22 4500 445815272 CHVBK 20180317145226.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10040-011-0753-y doi (NATIONALLICENCE)springer-10.1007/s10040-011-0753-y Quantifying the effects of subsurface heterogeneity on hillslope runoff using a stochastic approach [Elektronische Daten] [Steven Meyerhoff, Reed Maxwell] Quantification par une approche stochastique des effets de l'hétérogénéité de sub-surface sur le ruissellement de versant The role of heterogeneity and uncertainty in hydraulic conductivity on hillslope runoff production was evaluated using the fully integrated hydrologic model ParFlow. Simulations were generated using idealized high-resolution hillslopes configured both with a deep water table and a water table equal to the outlet to isolate surface and subsurface flow, respectively. Heterogeneous, correlated random fields were used to create spatial variability in the hydraulic conductivity. Ensembles, generated by multiple realizations of hydraulic conductivity, were used to evaluate how this uncertainty propagates to runoff. Ensemble averages were used to determine the effective runoff for a given hillslope as a function of rainfall rate and degree of subsurface heterogeneity. Cases where the water table is initialized at the outlet show runoff behavior with little sensitivity to variance in hydraulic conductivity. A technique is presented that explicitly interrogates individual realizations at every simulation timestep to partition overland and subsurface flow contributions. This hydrograph separation technique shows that the degree of heterogeneity can play a role in determining proportions of surface and subsurface flow, even when effective hillslope outflow is seen. This method is also used to evaluate current hydrograph separation techniques and demonstrates that recursive filters can accurately proportion overland and base-flow for certain cases. Springer-Verlag, 2011 Rainfall/runoff nationallicence Heterogeneity nationallicence Groundwater/surface-water relations nationallicence Dunne nationallicence Hortonian nationallicence Meyerhoff Steven Department of Geology and Geologic Engineering, Hydrologic Science and Engineering Program, Integrated Ground Water Modeling Center, Colorado School of Mines, 1516 Illinois Street, 80401, Golden, CO, USA aut Maxwell Reed Department of Geology and Geologic Engineering, Hydrologic Science and Engineering Program, Integrated Ground Water Modeling Center, Colorado School of Mines, 1516 Illinois Street, 80401, Golden, CO, USA aut Hydrogeology Journal Springer-Verlag 19/8(2011-12-01), 1515-1530 1431-2174 19:8<1515 2011 19 10040 https://doi.org/10.1007/s10040-011-0753-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10040-011-0753-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Meyerhoff Steven Department of Geology and Geologic Engineering, Hydrologic Science and Engineering Program, Integrated Ground Water Modeling Center, Colorado School of Mines, 1516 Illinois Street, 80401, Golden, CO, USA aut NATIONALLICENCE 700 1- Maxwell Reed Department of Geology and Geologic Engineering, Hydrologic Science and Engineering Program, Integrated Ground Water Modeling Center, Colorado School of Mines, 1516 Illinois Street, 80401, Golden, CO, USA aut NATIONALLICENCE 773 0- Hydrogeology Journal Springer-Verlag 19/8(2011-12-01), 1515-1530 1431-2174 19:8<1515 2011 19 10040 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer