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Spatio-temporal relevance and controls of preferential flow at the landscape scale

机译:景观量表的优先流量的时空相关性和控制

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The spatial and temporal controls of preferential flow (PF) during infiltration are still not fully understood. As soil moisture sensor networks allow us to capture infiltration responses in high temporal and spatial resolution, our study is based on a large-scale sensor network with 135 soil moisture profiles distributed across a complex catchment. The experimental design covers three major geological regions (slate, marl, sandstone) and two land covers (forest, grassland) in Luxembourg. We analyzed the responses of up to 353 rainfall events for each of the 135 soil moisture profiles. Non-sequential responses (NSRs) within the soil moisture depth profiles were taken as one indication of bypass flow. For sequential responses maximum porewater velocities (vmax?) were determined from the observations and compared with velocity estimates of capillary flow. A measured vmax? higher than the capillary prediction was taken as a further indication of PF. While PF was identified as a common process during infiltration, it was also temporally and spatially highly variable. We found a strong dependence of PF on the initial soil water content and the maximum rainfall intensity. Whereas a high rainfall intensity increased PF (NSR, vmax?) as expected, most geologies and land covers showed the highest PF under dry initial conditions. Hence, we identified a strong seasonality of both NSR and vmax? dependent on land cover, revealing a lower occurrence of PF during spring and increased occurrence during summer and early autumn, probably due to water repellency. We observed the highest fraction of NSR in forests on clay-rich soils (slate, marl). vmax? ranged from 6 to 80 640 cm d?1 with a median of 120 cm d?1 across all events and soil moisture profiles. The soils in the marl geology had the highest flow velocities, independent of land cover, especially between 30 and 50 cm depth, where the clay content increased. This demonstrates the danger of treating especially clay soils in the vadose zone as a low-conductive substrate, as the development of soil structure can dominate over the matrix property of the texture alone. This confirms that clay content and land cover strongly influence infiltration and reinforce PF, but seasonal dynamics and flow initiation also have an important impact on PF.
机译:渗透期间优先流量(PF)的空间和时间控制仍然不完全理解。由于土壤湿度传感器网络允许我们在高时和空间分辨率下捕获渗透响应,我们的研究基于大型传感器网络,其中135个土壤水分型材分布在复杂的集水区上。实验设计涵盖了卢森堡的三个主要地质地区(Slate,Marl,Sandstone)和两个陆地覆盖(森林,草原)。我们分析了135个土壤水分型材中的每一个的最多353次降雨事件的回应。土壤水分深度剖面内的非顺序响应(NSRS)被视为旁通流的一个指示。对于顺序响应最大凹陷速度(Vmax?)由观察结果确定并与毛细血管流量的速度估计进行比较。测量的vmax?将比毛细管预测高于PF的进一步指示。虽然在渗透期间PF被识别为常见过程,但它也在时间上和空间上很高。我们发现PF对初始土壤含水量和最大降雨强度的强烈依赖。虽然预期的高降雨强度增加了PF(NSR,VMAX?),但大多数地质和陆地覆盖物在干燥初始条件下显示出最高的PF。因此,我们确定了NSR和VMAX的强烈季节性?依赖于陆地覆盖,揭示春季期间PF的较低,夏季和初秋的发生增加,可能是由于防水性。我们观察到富含泥土土壤(Slate,Marl)森林中NSR的最高分数。 vmax?范围从6到80 640厘米d​​?1,在所有事件和土壤水分型材上中间有120厘米的中位数。 Marl地质中的土壤具有最高的流速,独立于陆地覆盖,特别是在30到50厘米的深度之间,其中粘土含量增加。这证明了将尤其是粘土土壤中的粘土土壤作为低导电基材处理,因为土壤结构的发育可以单独占据纹理的基质性质。这证实粘土含量和陆地覆盖强烈影响渗透和加强PF,但季节性动态和流动启动也对PF产生了重要影响。

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