% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Eludoyin:837570, author = {Eludoyin, Adebayo O. and Griffith, Bruce and Orr, Robert J. and Bol, Roland and Quine, Timothy A. and Brazier, Richard E.}, title = {{A}n evaluation of the hysteresis in chemical concentration–discharge ( {C} – {Q} ) relationships from drained, intensively managed grasslands in southwest {E}ngland}, journal = {Hydrological sciences journal}, volume = {62}, number = {8}, issn = {2150-3435}, address = {Wallingford}, publisher = {IAHS Press}, reportid = {FZJ-2017-06458}, pages = {1243 - 1254}, year = {2017}, abstract = {This study examined the hysteresis exhibited in concentration–discharge (C–Q) relationships in the runoff from four hydrologically separated fields (catchments) at an intensively managed grassland. The objectives were to examine C–Q relationships constructed from high-resolution time series of flow, temperature, pH, conductivity, nitrate and turbidity, and their implications for hydrological processes. High-resolution datasets from the quality assured records of the Rothamsted Research North Wyke Farm Platform in the UK were examined using a graphical method and cross-correlation statistics. The study found that storm events based C–Q hysteresis reflects the cross-correlation that is generally hidden in time series analysis of large datasets, and that although Q and water quality variables can be effectively influenced by catchment size, the C–Q relationship is less significantly influenced. The dominant C–Q relationships of the water variables in the study area reflect that saturated overland flow was prevalent during the study period in the catchments, while the CCF results indicate coupled transfer of sediments and solute in the area at lag ≥ 0.}, cin = {IBG-3}, ddc = {550}, cid = {I:(DE-Juel1)IBG-3-20101118}, pnm = {255 - Terrestrial Systems: From Observation to Prediction (POF3-255)}, pid = {G:(DE-HGF)POF3-255}, typ = {PUB:(DE-HGF)16}, UT = {WOS:000403800000005}, doi = {10.1080/02626667.2017.1313979}, url = {https://juser.fz-juelich.de/record/837570}, }