Hydrogeophysical methods have been increasingly used to study subsurface soil–water dynamics, yet their application beyond the soil compartment or the quantitative link to soil hydraulic properties remains limited. To examine how these methods can inform model-based evapotranspiration (ET) calculation under varying soil water conditions, we conducted a pilot-scale field study at an experimental maize plot with manipulated irrigation treatments. Our goal was to develop a workflow for (1) acquiring and inverting field electrical resistivity tomography (ERT) data, (2) correlating ERT to soil hydraulic properties, (3) spatially characterizing soil water stress that feeds into ET modeling (the FAO-56 model), and (4) evaluating the performance of ERT-based ET computation. Our results showed that ERT was able to capture decimeter-scale soil water content (SWC) dynamics from root water uptake and irrigation manipulation and the contrast of soil water stress between deficiently and fully irrigated maize. We also demonstrated the flexibility of using ERT to spatially integrate soil water stress in the soil volume of interest, which could be adjusted based on different crops and plot layouts. The integration of the ERT datasets into ET modeling provided insights into the spatial heterogeneity of the subsurface that has been challenging for point-based sensing, which can further our understanding of the hydraulic dynamics in the soil-plant-atmosphere continuum.

中文翻译：

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利用电阻率断层扫描改进玉米田蒸散量计算

水文地球物理方法已越来越多地用于研究地下土壤-水动力学，但其在土壤隔室之外的应用或与土壤水力特性的定量联系仍然有限。为了研究这些方法如何为不同土壤水条件下基于模型的蒸散量 (ET) 计算提供信息，我们在采用人工灌溉处理的实验玉米地块上进行了中试规模的实地研究。我们的目56模型），（4）评估基于ERT的ET计算的性能。我们的结果表明，ERT 能够从根部吸水和灌溉操作以及灌溉不足和充分灌溉的玉米之间的土壤水分胁迫对比中捕获分米级土壤含水量 (SWC) 动态。我们还展示了使用 ERT 将土壤水分压力空间整合到感兴趣的土壤体积中的灵活性，可以根据不同的作物和地块布局进行调整。将 ERT 数据集集成到 ET 建模中，可以深入了解地下的空间异质性，这对于基于点的传感来说一直是一个挑战，这可以进一步我们对土壤-植物-大气连续体中的水力动力学的理解。