A spatially lumped model to investigate downstream sediment flux propagation within a fluvial catchment

Forzoni, A.; Jager, G. de; Storms, J.E.A.

doi:10.1016/j.geomorph.2013.04.003

Cited by 6 publications

(24 citation statements)

References 72 publications

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“…PaCMod input consists of climatic data derived from proxies (e.g., sea-surface temperatures from 18 O of foraminifera tests), drainage basin characteristics and user-defined parameters, i.e., precipitation increase with altitude, snowmelt coefficient, groundwater residence time and direct flow buffer (Forzoni et al, 2013). We compared modeling results to geomorphological and stratigraphic data from the field, namely boreholes, outcrops, shallow geophysics (Moreau et al, in prep.…”

Section: Methodsmentioning

confidence: 99%

“…The bedload out of the catchment equals actual bedload supply Q bactual when transport capacity TC (either peak or average) exceeds Q bactual , whereas it equals TC when Q bactual exceeds TC. For a detailed description of PaCMod see Forzoni et al (2013).…”

Section: Pacmodmentioning

confidence: 99%

“…Meteorological data from the weather stations of Ajaccio and Bastia (NOAA) for the period 2004e2010 were used as input. We averaged precipitation and temperature from the weather stations of Bastia and Ajaccio and corrected for catchment altitude classes (Forzoni et al, 2013). The modeled hydrograph was compared to the measured water discharge at Barchetta (hydro.-eaudefrance website), and it was optimized by tuning the four userdefined parameters (Bogaart and van Balen, 2000;Forzoni et al, 2013) (Table 1).…”

Section: Pacmodmentioning

confidence: 99%

“…We averaged precipitation and temperature from the weather stations of Bastia and Ajaccio and corrected for catchment altitude classes (Forzoni et al, 2013). The modeled hydrograph was compared to the measured water discharge at Barchetta (hydro.-eaudefrance website), and it was optimized by tuning the four userdefined parameters (Bogaart and van Balen, 2000;Forzoni et al, 2013) (Table 1). The main discrepancies between modeled and measured discharge, which occur during periods of very high discharge, can be explained by the lack of spatial information for the probability and the magnitude of local precipitation events.…”

Section: Pacmodmentioning

confidence: 99%

“…We used a numerical model, PaCMod (Forzoni et al, 2013) to simulate catchment evolution, fluvial dynamics, and sediment flux from the Golo catchment. Then we compared modeling results to geomorphological data and new optically stimulated luminescence (OSL) ages from the Golo coastal plain, to unravel how climate-induced fluvial dynamics interacted with sea level variations during the Last GlacialeInterglacial cycle.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Non-linear response of the Golo River system, Corsica, France, to Late Quaternary climatic and sea level variations

Forzoni

Storms

Reimann

et al. 2015

Quaternary Science Reviews

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Section: Methodsmentioning

confidence: 99%

Section: Pacmodmentioning

confidence: 99%

Section: Pacmodmentioning

confidence: 99%

Section: Pacmodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Non-linear response of the Golo River system, Corsica, France, to Late Quaternary climatic and sea level variations

Forzoni

Storms

Reimann

et al. 2015

Quaternary Science Reviews

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Delayed delivery from the sediment factory: modeling the impact of catchment response time to tectonics on sediment flux and fluvio‐deltaic stratigraphy

Forzoni

Storms

Whittaker

et al. 2014

Earth Surf Processes Landf

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The sediment flux from a catchment is driven by tectonics and climate but is moderated by the geomorphic response of the landscape system to changes in these two boundary conditions. Consequently, catchment response time and the non‐linear behavior of landscapes in response to boundary condition change control the downstream propagation of climatic or tectonic perturbations from catchments to neighboring basins. In order to investigate the impact of catchment response time on sediment flux, we integrated a spatially‐lumped numerical model PaCMod, with new routines simulating the evolution of landscape morphology and erosion rates under tectonic and climatic forcing. We subsequently applied the model to reconstruct the sediment flux from a tectonically perturbed catchment in central Italy. Finally, we coupled our model to DeltaSim, a process‐response model simulating fluvio‐deltaic stratigraphy, and investigated the impact of catchment response time on stratigraphy, using both synthetic scenarios and a real world system (Fucino Basin, central Italy). Our results demonstrate that the differential response of geomorphic elements to tectonic and climatic changes induces a complex sediment flux signal, and produces characteristic stratigraphic architectures and shoreline trajectories. Copyright © 2014 John Wiley & Sons, Ltd.

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Developing, choosing and using landscape evolution models to inform field‐based landscape reconstruction studies

Temme

Armitage

Attal

et al. 2017

Earth Surf Processes Landf

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Landscape evolution models (LEMs) are an increasingly popular resource for geomorphologists as they can operate as virtual laboratories where the implications of hypotheses about processes over human to geological timescales can be visualized at spatial scales from catchments to mountain ranges. Hypothetical studies for idealized landscapes have dominated, although model testing in real landscapes has also been undertaken. So far however, numerical landscape evolution models have rarely been used to aid field-based reconstructions of the geomorphic evolution of actual landscapes. To help make this use more common, we review numerical landscape evolution models from the point of view of model use in field reconstruction studies. We first give a broad overview of the main assumptions and choices made in many LEMs to help prospective users select models appropriate to their field situation. We then summarize for various timescales which data are typically available and which models are appropriate. Finally, we provide guidance on how to set up a model study as a function of available data and the type of research question. Copyright

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A spatially lumped model to investigate downstream sediment flux propagation within a fluvial catchment

Cited by 6 publications

References 72 publications

Non-linear response of the Golo River system, Corsica, France, to Late Quaternary climatic and sea level variations

Non-linear response of the Golo River system, Corsica, France, to Late Quaternary climatic and sea level variations

Delayed delivery from the sediment factory: modeling the impact of catchment response time to tectonics on sediment flux and fluvio‐deltaic stratigraphy

Developing, choosing and using landscape evolution models to inform field‐based landscape reconstruction studies

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