Identification and Simulation of Subsurface Soil Patterns from Geophysical Measurements and Remote Sensing Data (B09#)

TR32合作研究中心以前的研究通过使用详细的地球物理调查揭示了地下土壤分布的模式。在这个项目中，我们将这些结果与其他区域可用信息相结合，以将知识扩展到更广泛的横向范围。我们开发和应用新的方法来在更大的尺度上描述和预测地下土壤模式，并通过额外的现场测量来验证我们的预测，以帮助弥合高分辨率局部实地调查和水力集水区尺度的过程模拟之间的差距。

Previous studies within the Collaborative Research Centre TR32 have revealed patterns in subsurface soil distributions with the use of detailed geophysical surveys. In this project, we combine these results with additional regionally available information to extend the knowledge to a wider lateral extent. We develop and apply novel methods to characterise and predict subsurface soil patterns on larger scales and test our predictions with additional field measurements, to contribute to bridge the gap between high-resolution local field investigations and process simulations on the scale of hydraulic catchments.