Articles | Volume 24, issue 3
Hydrol. Earth Syst. Sci., 24, 1189–1209, 2020
Hydrol. Earth Syst. Sci., 24, 1189–1209, 2020

Research article 12 Mar 2020

Research article | 12 Mar 2020

On the conceptual complexity of non-point source management: impact of spatial variability

Christopher Vincent Henri et al.

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Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration- Guidelines for computing crop water requirements, paper 56, FAO Irrigation and drainage, 1998. a, b
Baram, S., Couvreur, V., Harter, T., Read, M., Brown, P., Kandelous, M., Smart, D., and Hopmans., J.: Estimating Nitrate Leaching to Groundwater from Orchards: Comparing Crop Nitrogen Excess, Deep Vadose Zone Data-Driven Estimates, and HYDRUS Modeling, Vadose Zone J., 15, 1–13,, 2016. a
Barlow, P. M.,Leake, S. A., and Fienen, M. N.: Capture Versus Capture Zones: Clarifying Terminology Related to Sources of Water to Wells, Groundwater, 56, 694–704, 2018. a
Bastani, M. and Harter, T.: Effects of upscaling temporal resolution of groundwater flow and transport boundary conditions on the performance of nitrate-transport models at the regional management scale, Hydrogeol. J., accepted, 2020. a, b
Biggar, J. W. and Nielsen, D. R.: Spatial Variability of the Leaching Characteristics of a Field Soil, Water Resour. Res., 12, 78–84, 1976. a
Short summary
Non-point source contaminations of aquifers are complex to model, predict and manage. This study uses numerical and stochastic methods to address the importance of key sources of spatial variability. We show that heterogeneity in recharge and contaminant loading does not significantly impact management metrics and could be simplified. Also, homogenizing physical properties has more impact on predictions, but can provide useful information on concentration statistics in a regional analysis.