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首页> 外文会议>Four Decades of Progress in Monitoring and Modeling of Processes in the Soil-Plant-Atmosphere System: Applications and Challenges >Using HydroGeoSphere in a forested catchment: How does spatial resolution influence the simulation of spatio-temporal soil moisture variability?
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Using HydroGeoSphere in a forested catchment: How does spatial resolution influence the simulation of spatio-temporal soil moisture variability?

机译：在森林流域使用水力晶胞：空间分辨率如何影响时空土壤水分变异性的模拟？

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Soil moisture is a key variable in the soil-plant-atmosphere system because it interacts with various system components. Both the measurement and the simulation of the soil moisture pattern and its spatio-temporal variability are current challenges in hydrology. This study applies the model HydroGeoSphere in a natural forest ecosystem to assess whether the model can simulate the spatio-temporal variability and pattern of soil moisture. The assessment is performed by comparing the simulation results with soil moisture measurements. The model is used at two different model resolutions to reveal the scale dependency of the calibrated model parameters, the water balance, the discharge components, and the spatial distribution of soil moisture and its variogram parameters. Discharge simulation results show that the model is capable of reproducing the discharge characteristics. A weak correlation is found between simulated and measured soil moisture dynamics in the topsoil, but the correlation is stronger in 20 cm depth. In 50 cm depth, the model is able to simulate the seasonal trend but not the short-term dynamics because preferential flow is not simulated. Furthermore, a decrease in soil moisture variance during continued drying is observed for both simulations and the measurements at both resolutions. In addition, the pattern of measured soil moisture shows a patchy character that does not show in the simulated pattern indicating that using uniform soil properties in the topsoil makes the soil moisture simulation inaccurate.
机译：土壤水分是土壤 - 植物 - 大气系统中的关键变量，因为它与各种系统组件相互作用。土壤水分模式的测量和模拟及其时空变异性都是水文中的当前挑战。本研究适用于天然林生态系统的模型水晶晶来评估该模型是否可以模拟两种空间变异性和土壤水分模式。通过将模拟结果与土壤湿度测量进行比较来进行评估。该模型用于两种不同的模型分辨率，以揭示校准的模型参数，水平，排放部件和土壤水分的空间分布及其变形仪参数的比例依赖性。放电仿真结果表明，该模型能够再现排放特性。在表土中的模拟和测量的土壤水分动力学之间发现了弱相关性，但在20厘米深度的情况下，相关性更强。在50厘米的深度中，该模型能够模拟季节性趋势，而不是短期动态，因为未模拟优先流量。此外，对于两种分辨率的模拟和测量，观察到在继续干燥过程中的土壤湿度差减小。此外，测量的土壤水分的模式显示了一种斑块状的特征，其在模拟图案中不显示，表明使用甲状腺炎中的均匀土壤性能使土壤湿度模拟不准确。

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