3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures

摘要: Abstract. Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to nitrogen (N) losses from intensive N fertilization and management on agricultural fields. The distribution fate nitrate in are primarily governed by geological, hydrological geochemical conditions the subsurface. Therefore, we propose a novel approach model both geology redox architectures simultaneously high resolution 3D (25 m × 25 m × 2 m) using multiple point geostatistical simulation (MPS). Data consists 1) mainly resistivities mapped with towed transient electromagnetic measurements (tTEM), 2) information lithology obtained borehole observations at scale interpreted geological descriptions colors sediment samples, chemistry analyses water samples. conceptual understandings study system were introduced as training images. These data combined detailed soil maps digital elevation models identify main elements defined volumes within From perspective, these considered independent each other terms formation. This became computationally attractive simulating smaller individually instead entire catchment. final realizations stitched together simulations individual elements, resulting ensemble representing quantification uncertainty for given setup. joint architectures, which one strengths MPS compared methods, secures that two general show coherent patterns. Despite inherent subjectivity interpretations images element boundaries, they enable easy intuitive incorporation qualitative knowledge geochemistry quantitative architectures. Altogether, conclude our effectively simulates can be used modelling N-transport, may fundamental better understanding retention future more targeted regulation agriculture.