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通过分析分布式地表-地下相互作用来理解以源头为主的流域的水文响应。

Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface-subsurface interactions.

机构信息

Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, USA.

Institute of Geoecology, Technische Universität Braunschweig, Brunswick, Germany.

出版信息

Sci Rep. 2023 Mar 22;13(1):4669. doi: 10.1038/s41598-023-31925-w.

Abstract

We computationally explore the relationship between surface-subsurface exchange and hydrological response in a headwater-dominated high elevation, mountainous catchment in East River Watershed, Colorado, USA. In order to isolate the effect of surface-subsurface exchange on the hydrological response, we compare three model variations that differ only in soil permeability. Traditional methods of hydrograph analysis that have been developed for headwater catchments may fail to properly characterize catchments, where catchment response is tightly coupled to headwater inflow. Analyzing the spatially distributed hydrological response of such catchments gives additional information on the catchment functioning. Thus, we compute hydrographs, hydrological indices, and spatio-temporal distributions of hydrological variables. The indices and distributions are then linked to the hydrograph at the outlet of the catchment. Our results show that changes in the surface-subsurface exchange fluxes trigger different flow regimes, connectivity dynamics, and runoff generation mechanisms inside the catchment, and hence, affect the distributed hydrological response. Further, changes in surface-subsurface exchange rates lead to a nonlinear change in the degree of connectivity-quantified through the number of disconnected clusters of ponding water-in the catchment. Although the runoff formation in the catchment changes significantly, these changes do not significantly alter the aggregated streamflow hydrograph. This hints at a crucial gap in our ability to infer catchment function from aggregated signatures. We show that while these changes in distributed hydrological response may not always be observable through aggregated hydrological signatures, they can be quantified through the use of indices of connectivity.

摘要

我们通过计算方法研究了美国科罗拉多州东河流域上游高海拔山区流域地表水-地下水交换与水文响应之间的关系。为了分离地表水-地下水交换对水文响应的影响,我们比较了三种仅在土壤渗透率上存在差异的模型变体。传统的用于上游流域的流量分析方法可能无法正确描述那些流域响应与上游流入紧密耦合的流域。分析这些流域的空间分布式水文响应可以提供有关流域功能的更多信息。因此,我们计算了流量图、水文指数和水文变量的时空分布。然后,将这些指数和分布与流域出口处的流量图相关联。我们的结果表明,地表水-地下水交换通量的变化会触发不同的水流模式、连通性动态和流域内的径流生成机制,从而影响分布式水文响应。此外,地表水-地下水交换率的变化会导致流域中积水不连续的池塘水的连通性数量发生非线性变化——这是通过连通性指数来量化的。尽管流域中的径流形成发生了显著变化,但这些变化并没有显著改变综合的流量图。这暗示了我们从综合特征推断流域功能的能力存在一个关键的差距。我们表明,尽管分布式水文响应的这些变化并不总是可以通过综合水文特征来观察到,但可以通过使用连通性指数来定量描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1071/10033882/c826379267f8/41598_2023_31925_Fig1_HTML.jpg

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