DOI: 10.5194/hess-23-2305-2019
论文题名: Integrating network topology metrics into studies of catchment-level effects on river characteristics
作者: Heasley E.L. ; Clifford N.J. ; Millington J.D.A.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 5 起始页码: 2305
结束页码: 2319
语种: 英语
Scopus关键词: Catchments
; Computer hardware description languages
; Ecosystems
; Regulatory compliance
; Runoff
; Topology
; Digital elevation model
; Fundamental characteristics
; Integrating networks
; Internal network
; Multi dimensional
; Network topological structure
; Network topology
; Spatial arrangements
; Rivers
; catchment
; database
; digital elevation model
; fluvial geomorphology
; habitat quality
; river
; river system
; topology
; England
; United Kingdom
英文摘要: 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 density metrics. There are few significant correlations between stream order and the river characteristics, highlighting the limitations of stream order in accounting for network topology. Overall, the results suggest that network density metrics are more powerful measures which conceptually and functionally provide an improved method of accounting for the impacts of network topology on the fluvial system. © 2019 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162974
Appears in Collections: 气候变化与战略
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作者单位: Heasley, E.L., Department of Geography, King's College London, London, United Kingdom; Clifford, N.J., School of Social Political and Geographical Sciences, Loughborough University, Leicestershire, United Kingdom; Millington, J.D.A., Department of Geography, King's College London, London, United Kingdom
Recommended Citation:
Heasley E.L.,Clifford N.J.,Millington J.D.A.. Integrating network topology metrics into studies of catchment-level effects on river characteristics[J]. Hydrology and Earth System Sciences,2019-01-01,23(5)