2014
DOI: 10.5194/gmd-7-1271-2014
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C-GEM (v 1.0): a new, cost-efficient biogeochemical model for estuaries and its application to a funnel-shaped system

Abstract: Abstract. Reactive transport models (RTMs) are powerful tools for disentangling the complex process interplay that drives estuarine biogeochemical dynamics, for assessing the quantitative role of estuaries in global biogeochemical cycles and for predicting their response to anthropogenic disturbances (land-use change, climate change and water management). Nevertheless, the application of RTMs for a regional or global estimation of estuarine biogeochemical transformations and fluxes is generally compromised by … Show more

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Cited by 23 publications
(83 citation statements)
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“…Certain hydro-geometrical characteristics, such as the tidal period T , the tidal excursion E and the estuarine depth at the mouth H 0 can be approximated by characteristic values. For instance, E is usually close to 10 km for a semi-diurnal (T ≈ 12 h) tidal estuary, while an alluvial estuary flowing in a coastal plain generally reveals a tidally averaged depth (H ) of about 7 m (Savenije, 1992;Volta et al, 2014). Note that, for estuaries in which the freshwater discharge is known, a new formulation proposed by can be used to estimate the estuarine depth.…”
Section: Theoretical Supportmentioning
confidence: 99%
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“…Certain hydro-geometrical characteristics, such as the tidal period T , the tidal excursion E and the estuarine depth at the mouth H 0 can be approximated by characteristic values. For instance, E is usually close to 10 km for a semi-diurnal (T ≈ 12 h) tidal estuary, while an alluvial estuary flowing in a coastal plain generally reveals a tidally averaged depth (H ) of about 7 m (Savenije, 1992;Volta et al, 2014). Note that, for estuaries in which the freshwater discharge is known, a new formulation proposed by can be used to estimate the estuarine depth.…”
Section: Theoretical Supportmentioning
confidence: 99%
“…Hence, important biogeochemical properties in estuaries might, just as salinity profiles, be predicted on the basis of hydro-geometrical features (Fig. 2;Volta et al, 2014).…”
Section: Theoretical Supportmentioning
confidence: 99%
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