C
Chris Soulsby
Researcher at University of Aberdeen
Publications - 397
Citations - 17896
Chris Soulsby is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Groundwater & Surface runoff. The author has an hindex of 75, co-authored 370 publications receiving 15497 citations. Previous affiliations of Chris Soulsby include Technical University of Berlin & National Rivers Authority.
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Journal ArticleDOI
Using hydrochemical tracers to conceptualise hydrological function in a larger scale catchment draining contrasting geologic provinces
R. Capell,R. Capell,Doerthe Tetzlaff,Doerthe Tetzlaff,Iain A. Malcolm,Iain A. Malcolm,Adrian J. Hartley,Adrian J. Hartley,Chris Soulsby,Chris Soulsby +9 more
TL;DR: A year-long multivariate tracer study in the 749 km 2 catchment of the North-Esk in north east Scotland was carried out to infer the dominant runoff generation processes in two markedly different geologic provinces as mentioned in this paper.
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Influence of contrasting riparian forest cover on stream temperature dynamics in salmonid spawning and nursery streams
TL;DR: In this paper, the influence of contrasting riparian forest types on upland stream temperatures and the links between thermal regime and standard indices of forest cover were investigated for two hydrological years at multiple sites along two tributaries of the River Dee, Scotland.
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Modelling hydrological processes and aluminium leaching in an acid soil at Llyn Brianne, mid-Wales
Chris Soulsby,Brian Reynolds +1 more
TL;DR: In this article, a field-based hydrochemical study monitored the hydrology and soilwater chemistry of an afforested stagnopodzol at Llyn Brianne (Mid-Wales) during a hydrological year.
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Does diurnal temperature variability affect growth in juvenile Atlantic salmon Salmo salar
TL;DR: It is suggested that mean daily temperatures are adequate to inform juvenile growth models for field-based studies following the relatively small differences in growth attributable to variable temperature regime in these experiments.
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Spatial aggregation of time‐variant stream water ages in urbanizing catchments
TL;DR: In this paper, an integrated flow-tracer model was used to simulate spatially distributed isotope time series in stream water in a 7.9km 2 catchment with an urban area of 13%.