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首页> 外文期刊>Hydrology and Earth System Sciences >Integrating network topology metrics into studies of catchment-level effects on river characteristics
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Integrating network topology metrics into studies of catchment-level effects on river characteristics

机译:将网络拓扑指标集成到河流特征的集水区效应研究

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The spatial arrangement of the river network is a fundamental characteristic of the catchment, acting as a conduit between catchment-level effects and reach morphology and ecology. Yet river network structure is often simplified to reflect an upstream-to-downstream gradient of river characteristics, commonly represented by stream order. The aim of this study is to quantify network topological structure using two network density metrics - one that represents network density over distance and the other over elevation - that can easily be extracted from digital elevation models and so may be applied to any catchment across the globe. These metrics should better account for the multi-dimensional nature of the catchment than stream order and be functionally applicable across geomorphological, hydrological and ecological attributes of the catchment. The functional utility of the metrics is assessed by appropriating monitoring data collected for regulatory compliance to explore patterns of river characteristics in relation to network topology. This method is applied to four comparatively low-energy, anthropogenically modified catchments in the UK using river characteristics derived from England's River Habitat Survey database. The patterns in river characteristics explained by network density metrics are compared to stream order as a standard measure of topology. The results indicate that the network density metrics offer a richer and functionally more relevant description of network topology than stream order, highlighting differences in the density and spatial arrangement of each catchment's internal network structure. Correlations between the network density metrics and river characteristics show that habitat quality score consistently increases with network density in all catchments as hypothesized. For other measures of river character - modification score, flow-type speed and sediment size - there are varying responses in different catchments to the two network densi
机译:河网络的空间排列是集水区的基本特征,作为集水区效应之间的导管并达到形态和生态学。然而,河道网络结构通常简化以反映河流特征的上游渐变梯度,通常由流秩序表示。本研究的目的是使用两个网络密度度量来量化网络拓扑结构 - 一个代表网络密度超过距离的网络密度和另一个高度 - 这可以很容易地从数字高度模型中提取,因此可以应用于全球的任何集水区。这些指标应该更好地占集水区的多维性质,而不是流秩序,并且在集水区的地貌,水文和生态属性上进行功能适用。通过批准监管遵守的监测数据来评估指标的功能效用,以探索与网络拓扑相关的河流特征模式。使用来自英国河流栖息地调查数据库的河流特征,将该方法应用于四个相对低能量的,在英国的河流特征。将网络密度指标解释的河流特征中的图案与流顺序进行比较,作为拓扑的标准测量。结果表明,网络密度度量提供了比流顺序的网络拓扑的更丰富和功能更相关的描述,突出显示每个集水区内部网络结构的密度和空间布置的差异。网络密度度量和河流特征之间的相关性表明,栖息地质量得分在所有集水区内的网络密度始终如一地增加,如假设。对于其他河流性格的措施 - 修改得分,流式速度和沉积物大小 - 在不同集水区对两个网络DENSI的不同反应变化

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