Spatio‐temporal variability of the isotopic input signal in a partly forested catchment : Implications for hydrograph separation

This research was supported by the projects TransHyMed (CGL2016-75957-R AEI/FEDER, UE) and MASCC-DYNAMITE (PCIN-2017-061/AEI). C. Cayuela was beneficiary of a predoctoral FPI grant (BES-2014-070609) and a pre-doctoral mobility grant (EEBB-I-17-12493). We are grateful to G. Bertran, F. Gallart, A.J. Molina, M. Moreno de las Heras and E. Sánchez-Costa for their support during fieldwork and data analysis. We also thank all the members of the Northern Rivers Institute where part of this study was conceived. Finally, we want to thank M. Eaude for reviewing the English.Peer reviewedPostprin

Simulating the influences of groundwater on regional geomorphology using a distributed, dynamic, landscape evolution modelling platform

A dynamic landscape evolution modelling platform (CLiDE) is presented that allows a variety of Earth system interactions to be explored under differing environmental forcing factors. Representation of distributed surface and subsurface hydrology within CLiDE is suited to simulation at sub-annual to centennial time-scales. In this study the hydrological components of CLiDE are evaluated against analytical solutions and recorded datasets. The impact of differing groundwater regimes on sediment discharge is examined for a simple, idealised catchment, Sediment discharge is found to be a function of the evolving catchment morphology. Application of CLiDE to the upper Eden Valley catchment, UK, suggests the addition of baseflow-return from groundwater into the fluvial system modifies the total catchment sediment discharge and the spatio-temporal distribution of sediment fluxes during storm events. The occurrence of a storm following a period of appreciable antecedent rainfall is found to increase simulated sediment fluxes

Modeling the isotopic evolution of snowpack and snowmelt : Testing a spatially distributed parsimonious approach

This work was funded by the NERC/JPI SIWA project (NE/M019896/1) and the European Research Council ERC (project GA 335910 VeWa). The Krycklan part of this study was supported by grants from the Knut and Alice Wallenberg Foundation (Branch-points), Swedish Research Council (SITES), SKB and Kempe foundation. The data and model code is available upon request. Authors declare that they have no conflict of interest. We would like to thank the three anonymous reviewers for their constructive comments that improved the manuscript.Peer reviewedPublisher PD

Tracing hydrologic flow paths in a small forested watershed using variations in 87 Sr/ 86 Sr, [Ca]/[Sr], [Ba]/[Sr] and δ 18 O

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95063/1/wrcr9589.pd

A long-term study of stable isotopes as tracers of processes governing water flow and quality in a lowland river basin: the upper Thames, UK

A long-term study of O, H and C stable isotopes has been undertaken on river waters across the 7000 km2 upper Thames lowland river basin in the southern UK. During the period, flow conditions ranged from drought to flood. A 10-year monthly record (2003–2012) of the main River Thames showed a maximum variation of 3‰ (δ18O) and 20‰ (δ2H), though inter-annual average values varied little around a mean of –6.5‰ (δ18O) and –44‰ (δ2H). The δ2H/δ18O slope of 5.3 suggested a degree of evaporative enrichment, consistent with derivation from local rainfall with a weighted mean of –7.2‰ (δ18O) and –48‰ (δ2H) for the period. A tendency towards isotopic depletion of the river with increasing flowrate was noted, but at very high flows (>100 m3/s) a reversion to the mean was interpreted as the displacement of bank storage by rising groundwater levels (corroborated by measurements of specific electrical conductivity). A shorter quarterly study (October 2011 – April 2013) of isotope variations in 15 tributaries with varying geology revealed different responses to evaporation, with a high inverse correlation between Δ18O and baseflow index (BFI) for most of the rivers. A comparison with aquifer waters in the basin showed that even at low flow, rivers rarely consist solely of isotopically unmodified groundwater. Long-term monitoring (2003–2007) of carbon stable isotopes in dissolved inorganic carbon (DIC) in the Thames revealed a complex interplay between respiration, photosynthesis and evasion, but with a mean inter-annual δ13C-DIC value of –14.8 ± 0.5‰, exchange with atmospheric carbon could be ruled out. Quarterly monitoring of the tributaries (October 2011 – April 2013) indicated that in addition to the above factors, river flow variations and catchment characteristics were likely to affect δ13C-DIC. Comparison with basin groundwaters of different alkalinity and δ13C-DIC values showed that the origin of river baseflow is usually obscured. The findings show how long-term monitoring of environmental tracers can help to improve the understanding of how lowland river catchments function

Tracers reveal limited influence of plantation forests on surface runoff in a UK natural flood management catchment

Study region United Kingdom (UK). Study focus Natural flood management (NFM) schemes are increasingly prominent in the UK. Studies of NFM have not yet used natural tracers at catchment scale to investigate how interventions influence partitioning during storms between surface rainfall runoff and water already stored in catchments. Here we investigate how catchment properties, particularly plantation forestry, influence surface storm rainfall runoff. We used hydrograph separation based on hydrogen and oxygen isotopes (2H, 18O) and acid neutralising capacity from high flow events to compare three headwater catchments (2.4-3.1 km2) with differences in plantation forest cover (Picea sitchensis: 94%, 41%, 1%) within a major UK NFM pilot, typical of the UK uplands. New hydrological insights Plantation forest cover reduced the total storm rainfall runoff fraction during all events (by up to 11%) when comparing two paired catchments with similar soils, geology and topography but ∼50% difference in forest cover. However, comparison with the third catchment, with negligible forest cover but different characteristics, suggests that soils and geology were dominant controls on storm rainfall runoff fraction. Furthermore, differences between events were greater than differences between catchments. These findings suggest that while plantation forest cover may influence storm rainfall runoff fractions, it is not a dominant control in temperate upland UK catchments, especially for larger events. Soils and geology may exert greater influence, with implications for planning NFM