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Plot and field scale soil moisture dynamics and subsurface wetness control on runoff generation in a headwater in the Ore Mountains

机译:矿山上游水源地和田间尺度的土壤水分动力学及地下湿度对径流的控制

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This study presents an application of an innovativesampling strategy to assess soil moisture dynamics in a headwater of theWei?eritz in the German eastern Ore Mountains. A grassland site and aforested site were instrumented with two Spatial TDR clusters (STDR) thatconsist of 39 and 32 coated TDR probes of 60 cm length. Distributed timeseries of vertically averaged soil moisture data from both sites/ensembleswere analyzed by statistical and geostatistical methods. Spatial variabilityand the spatial mean at the forested site were larger than at the grasslandsite. Furthermore, clustering of TDR probes in combination with long-term monitoringallowed identification of average spatial covariancestructures at the small field scale for different wetness states. The correlationlength of soil water content as well as the sill to nuggetratio at the grassland site increased with increasing average wetness andbut, in contrast, were constant at the forested site. As soil properties atboth the forested and grassland sites are extremely variable, this suggeststhat the correlation structure at the forested site is dominated by thepattern of throughfall and interception. We also found a very strongcorrelation between antecedent soil moisture at the forested site and runoffcoefficients of rainfall-runoff events observed at gauge Rehefeld.Antecedent soil moisture at the forest site explains 92% of thevariability in the runoff coefficients. By combining these results with arecession analysis we derived a first conceptual model of the dominantrunoff mechanisms operating in this catchment. Finally, we employed aphysically based hydrological model to shed light on the controls of soil-and plant morphological parameters on soil average soil moisture at theforested site and the grassland site, respectively. A homogeneous soil setupallowed, after fine tuning of plant morphological parameters, most of thetime unbiased predictions of the observed average soil conditions observedat both field sites. We conclude that the proposed sampling strategy ofclustering TDR probes is suitable to assess unbiased average soil moisturedynamics in critical functional units, in this case the forested site, which is amuch better predictor for event scale runoff formation than pre-event discharge.Long term monitoring of such critical landscape elements couldmaybe yield valuable information for flood warning in headwaters. We thusthink that STDR provides a good intersect of the advantages of permanentsampling and spatially highly resolved soil moisture sampling using mobilerods.
机译:这项研究提出了一种创新采样策略的应用,以评估德国东部矿石山魏立兹水源中的土壤水分动态。在草原和绿化带上安装了两个空间TDR簇(STDR),它们由39个和60厘米长的32个带涂层TDR探针组成。通过统计和地统计学方法分析了两个站点/集合的垂直平均土壤水分数据的分布式时间序列。森林地的空间变异性和空间均值大于草地地。此外,与长期监测相结合的TDR探针聚类允许在不同湿度状态的小场规模上识别平均空间协方差结构。随着平均湿度的增加,草地土壤水分含量和基岩与基岩的相关长度随平均湿度的增加而增加,但是相反,在森林林地,土壤水分的相关长度是恒定的。由于林地和草地的土壤性质变化很大,这表明林地的相关结构主要由穿透和截留的模式决定。我们还发现林场的前期土壤水分与Rehefeld观测站观测到的降雨径流事件的径流系数之间存在非常强的相关性。林场的前期土壤水分解释了径流系数的92%的变化。通过将这些结果与衰退分析相结合,我们得出了在该流域运行的主要径流机制的第一个概念模型。最后,我们采用了基于植被的水文模型,以阐明土壤和植物形态参数对森林地和草地地土壤平均土壤湿度的控制。在对植物形态参数进行微调后,均匀的土壤可以使大多数时候在两个田间观测到的平均土壤状况得到无偏的预测。我们得出的结论是,建议的群集TDR探针采样策略适合评估关键功能单元(在这种情况下为林地)的无偏平均土壤水分动力学,这比事件发生前的排放更能预测事件尺度径流的形成。这样的关键景观要素可能会为上游源头的洪水预警提供有价值的信息。因此,我们认为STDR与使用移动棒进行永久采样和在空间上高度解析的土壤水分采样的优势形成了很好的交集。

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