A geomorphic perspective on discharge–area relationships

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL Earth Surface Processes and Landforms Pub Date : 2024-06-14 DOI:10.1002/esp.5916
Akshay Kadu, Basudev Biswal
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Abstract

It is well-documented that the discharge-area power-law scaling exponent (θ) can be much lower than 1 during peak flow periods. A physical explanation for this phenomenon is generally given with the help of the channel network width function, which represents pure surface flow (PSF). When PSF ceases to dominate, θ is expected to increase due to the increasing contribution of mixed surface sub-surface flow (MSSF) and approach 1. However, to our knowledge, no study thus far has conducted a systematic investigation of the variation of θ. In this study, we use a channel network morphology-based routing model that considers both PSF and MSSF to investigate the variation of θ across the streamflow spectrum. The model captures the increasing trend of θ quite well during recession periods, attributable to the growing dominance of MSSF. We also demonstrate that the analysis of the discharge-area scaling is further complicated by several factors, including spatio-temporal variation of rainfall. The uniqueness of the model is that it suggests θ to assume values much greater than 1 because the flow in smaller basins decreases at a higher rate during late recession periods. Demonstrating this effect using observed data is difficult since obtaining sufficiently long recession curves is practically challenging. However, the predicted trend of θ is well supported by observed data when we perform percentile-based discharge-area scaling analysis. Our results thus indicate the possibility that a basin is not merely a sum of its hillslopes, with far-reaching consequences for modelling hydrological and ecological phenomena.

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从地貌角度看排水与面积的关系
有资料表明,在流量高峰期,排水量-面积幂律比例指数 (θ)可能远小于 1。对这一现象的物理解释通常是借助代表纯地表流(PSF)的河道网络宽度函数。当纯地表流不再占主导地位时,由于地表下-地表混合流(MSSF)的作用越来越大,θ 预计会增大并接近 1。然而,据我们所知,迄今为止还没有任何研究对 θ 的变化进行过系统的研究。在本研究中,我们使用了一个基于河道网络形态的路由模型,该模型同时考虑了 PSF 和 MSSF,以研究 θ 在整个流场中的变化。该模型很好地捕捉到了θ在衰退期的增长趋势,这归因于 MSSF 的主导地位日益增强。我们还证明,包括降雨量的时空变化在内的一些因素使排水量-面积比例分析变得更加复杂。该模型的独特之处在于,它建议 θ 取值远大于 1,因为在衰退后期,较小流域的流量会以更高的速度减少。用观测数据来证明这种效应是很困难的,因为要获得足够长的衰退曲线实际上是很困难的。不过,当我们进行基于百分位数的排水量-面积比例分析时,θ 的预测趋势得到了观测数据的有力支持。因此,我们的研究结果表明,流域不仅仅是山坡的总和,这对模拟水文和生态现象具有深远影响。
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来源期刊
Earth Surface Processes and Landforms
Earth Surface Processes and Landforms 地学-地球科学综合
CiteScore
6.40
自引率
12.10%
发文量
215
审稿时长
4 months
期刊介绍: Earth Surface Processes and Landforms is an interdisciplinary international journal concerned with: the interactions between surface processes and landforms and landscapes; that lead to physical, chemical and biological changes; and which in turn create; current landscapes and the geological record of past landscapes. Its focus is core to both physical geographical and geological communities, and also the wider geosciences
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