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首页> 外文期刊>Journal of Hydrology >Configuration of the relationship of soil moistures for vertical soil profiles on a steep hillslope using a vector time series model
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Configuration of the relationship of soil moistures for vertical soil profiles on a steep hillslope using a vector time series model

机译:矢量时间序列模型在陡坡上垂直土壤剖面的土壤水分关系配置

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Variation in soil moisture content throughout soil profiles during several sequential rainfalls represents the internal hydrological response on a hillslope scale. A multiplex TDR system has been operating on a mountainous hillslope to obtain the time series of soil moisture along two transects in the study area. The soil moisture modeling conducted in this study highlights our understanding of the inter-relationships between soil moistures at identical spatial locations, but at different depths. A sequential procedure was used for the time series modeling to delineate an appropriate model for application to all monitoring points. The feedback relationship of soil wetness between two different depths was expressed with the proposed vector autoregressive model. Based on the successful modeling of 31 coupled soil water histories, the vertical distributions of the stochastic model throughout the study area were obtained. The distribution of the delineated models implied a spatial distribution of the hydrological processes, such as vertical infiltration for the upper soil layers and some of the lower soil layers (38 out of 62 models), lateral redistribution and subsurface flow over bedrock mostly for the lower soil layers (24 out of 62 models) on the steep hillslope. With the use of the resultant models, applications were proposed to improve the data acquisition system, i.e. gap filling for missing data and limited prediction for an ungauged location.
机译:在几次连续降雨期间,整个土壤剖面中土壤水分含量的变化代表了山坡尺度上的内部水文响应。一个多重TDR系统已经在一个山坡上运行,以获取研究区域内两个样带的土壤水分时间序列。在这项研究中进行的土壤水分建模突显了我们对相同空间位置但不同深度处土壤水分之间相互关系的理解。时间序列建模使用顺序过程来描绘适用于所有监视点的适当模型。利用提出的向量自回归模型表达了两个不同深度之间土壤湿度的反馈关系。在成功建立31种土壤水分耦合历史模型的基础上,获得了整个研究区域内随机模型的垂直分布。所描述的模型的分布意味着水文过程的空间分布,例如上部土壤层和一些下部土壤层的垂直入渗(62个模型中的38个),横向再分布和基岩上的地下流动(主要是下部)陡坡上的土壤层(62个模型中的24个)。利用所得到的模型,提出了用于改进数据采集系统的应用,即,用于丢失数据的间隙填充和对于未定位位置的有限预测。

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