2015
DOI: 10.1002/hyp.10625
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Modelling groundwater/surface water interaction in a managed riparian chalk valley wetland

Abstract: Understanding of hydrological processes in wetlands may be complicated by management practices and complex groundwater/surface-water interactions. This is especially true for wetlands underlain by permeable geology, such as chalk. In this study, the physically based, distributed model MIKE SHE is used to simulate hydrological processes at the CEH River Lambourn Observatory, Boxford, Berkshire, UK. This comprises a 10 ha lowland, chalk valley bottom, riparian wetland designated for its conservation value and sc… Show more

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Cited by 32 publications
(34 citation statements)
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“…This Boxford site is a special area of conservation because of the habitat it provides for Desmoulins whorl snail ( Vertigo moulinsiana ) and is also as a site of special scientific interest because of its wetland habitats (Old et al , ). It has been the subject of much recent work aimed at understanding the functioning of the wetland (House et al , 2015a, b) which has included the installation of boreholes (Allen et al , ; Newell et al , ) and geophysical surveys, including electrical resistivity tomography (Chambers et al , ) and ground penetrating radar (Musgrave and Binley, ). Historic maps dating back to the 1880s show a network of predominantly linear conduits, sluices and aqueducts characteristic of a managed water meadow system (Newell et al , ).…”
Section: Background To the River Lambournmentioning
confidence: 99%
“…This Boxford site is a special area of conservation because of the habitat it provides for Desmoulins whorl snail ( Vertigo moulinsiana ) and is also as a site of special scientific interest because of its wetland habitats (Old et al , ). It has been the subject of much recent work aimed at understanding the functioning of the wetland (House et al , 2015a, b) which has included the installation of boreholes (Allen et al , ; Newell et al , ) and geophysical surveys, including electrical resistivity tomography (Chambers et al , ) and ground penetrating radar (Musgrave and Binley, ). Historic maps dating back to the 1880s show a network of predominantly linear conduits, sluices and aqueducts characteristic of a managed water meadow system (Newell et al , ).…”
Section: Background To the River Lambournmentioning
confidence: 99%
“…A Manning's roughness coefficient of 0.058 s m À1/3 was applied in the winter, and maximum values of 0.08 s m À1/3 and 0.15 s m À1/3 were applied in June during high-flow and low-flow summers, respectively. These values are within the range of 0.045 to 0.353 m 1/3 s À1 reported for a UK chalk stream by House et al (2015). The growth period was defined as April to September, and Manning's roughness values during this period were interpolated between the winter and summer values, which was guided by macrophyte growth measurements in a UK chalk stream reported by Flynn et al (2002).…”
Section: Mike 11 Model Developmentmentioning
confidence: 92%
“…Following auto‐calibration, the model grid size was reduced to 5 × 5 m, and the calibration was checked and refined manually, with the model performance being assessed statistically using the RMSE, the correlation coefficient ( R ) and the Nash–Sutcliffe efficiency coefficient (Nash and Sutcliffe, ). These key statistics assess different aspects of the model performance (bias, correlation, goodness of fit) and have been widely used in similar studies including those where optimized parameter values from auto‐calibration routines are refined manually (House et al, ; Rochester, ; Thompson, ; Thompson et al, ). The final values of the calibration terms defined at the end of this process are summarized in Table .…”
Section: Methodsmentioning
confidence: 99%
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“…Potential approaches include using fully-featured models such as Mike-SHE (e.g. (House et al 2015), MODFLOW lake package (Merritt and Konikow 2000) or combining bespoke pond models with groundwater models using dynamic model linking techniques such as OpenMI (Knapen et al 2013).…”
Section: Groundwater Modelling Of Coastal Dune Systemsmentioning
confidence: 99%